Conferences
1.
[IOT]
[ML]
“Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks”, ACM/IEEE International Conference on Internet of Things Design and Implementation (IoTDI), 2023.
2.
[ML]
“SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge”, The 4th CVPR Workshop on Continual Learning (CLVision), 2023.
3.
[HD]
[IOT]
[ML]
“Poster Abstract: Attentive Multimodal Learning on Sensor Data using Hyperdimensional Computing”, ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2023
4.
[HD]
[ML]
“Lightning Talk: Private and Secure Learning at the Edge with Hyperdimensional Computing”, IEEE/ACM Design Automation Conference (DAC), 2023
5.
[HD]
[IOT]
“EmbHD: A Library for Hyperdimensional Computing Research on MCU-Class Devices”, The 2nd MobiCom Workshop on Networked Sensing Systems for a Sustainable Society (NET4us), 2023
6.
[IOT]
“Remote Sensing with UAV and Mobile Recharging Vehicle Rendezvous”, 2022 Design, Automation, and Test in Europe (DATE) Conference
7.
[HD PIM]
“HDnn-PIM: Efficient in Memory Design of Hyperdimensional Computing with Feature Extraction”, GLSVLSI, 2022
8.
[ML]
“PatterNet: Explore and Exploit Filter Patterns for Efficient Deep Neural Networks”, Design Automation Conference (DAC), 2022
9.
[HD]
“GENERIC: Highly Efficient Learning Engine on Edge using Hyperdimensional Computing”, Design Automation Conference (DAC), 2022
10.
[HD]
“HyperSpike: HyperDimensional Computing for More Efficient and Robust Spiking Neural Networks”, Design Automation and Test in Europe (DATE), 2022
11.
[HD]
“XCelHD: An Efficient GPU-Powered Hyperdimensional Computing with Parallelized Training”, ASP-DAC, 2022
12.
[IOT]
[ML]
“ns3-fl: Simulating Federated Learning with ns-3”, The workshop on ns-3 (WNS3), 2022
13.
[IOT]
[ML]
“Self-Train: Self-Supervised On-Device Training for Post-Deployment Adaptation”, IEEE International Conference on Smart Internet of Things (SmartIoT), 2022
14.
[IOT]
[ML]
“DENSE-DEFENSE: Diversity Promoting Ensemble Adversarial Training Towards Effective Defense”, IEEE Sensors 2022
15.
[HD]
[IOT]
[ML]
“FedHD: Federated Learning with Hyperdimensional Computing”, The 28th Annual International Conference On Mobile Computing And Networking (MobiCom), Demo, 2022
16.
[ML]
“Residue-Net: Multiplication-free Neural Network by In-situ, No-loss Migration to Residue Number Systems”, 26th Asia and South Pacific Design Automation Conference (ASP-DAC), 2021
17.
[HD]
“HyperRec: Efficient Recommender Systems with Hyperdimensional Computing”, 26th Asia and South Pacific Design Automation Conference (ASP-DAC), 2021
18.
[PIM]
“DP-Sim: A Full-stack Simulation Infrastructure for Digital Processing In-Memory Architectures”, 26th Asia and South Pacific Design Automation Conference (ASP-DAC), 2021
19.
[IOT]
“Energy and QoS-Aware Dynamic Reliability Management of IoT Edge Computing Systems”, 26th Asia and South Pacific Design Automation Conference (ASP-DAC), 2021
20.
[HD]
“HyDREA: Towards More Robust and Efficient Machine Learning Systems with Hyperdimensional Computing”, IEEE Design, Automation, and Test in Europe Conference (DATE) 2021
21.
[IOT]
[ML]
“OPELRUL: Optimally Weighted Ensemble Learner for Remaining Useful Life Prediction”, IEEE International Conference on Prognostics and Health Management, 2021
22.
[Energy]
“NASCENT: Near-Storage Acceleration of Database Sort on SmartSSD”, International Symposium on Field-Programmable Gate Arrays (FPGA), 2021.
23.
[HD]
“Revisiting HyperDimensional Learning for FPGA and Low-Power Architectures”, 2021 IEEE International Symposium on High-Performance Computer Architecture
24.
[IOT]
“Automating Reliable and Fault-Tolerant Design of LoRa-based IoT Networks”, International Conference on Network and Service Management (CNSM), 2021.
(Best Paper Award)
25.
[IOT]
“CAHEROS: Constraint-Aware HEuristic Approach for RObust Sensor Placement”, IEEE SENSORS 2021
26.
[HD PIM]
“Stochastic-HD: Leveraging Stochastic Computing on Hyper-Dimensional Computing”, IEEE International Conference on Computer Design (ICCD), 2021.
27.
[HD]
“AdaptBit-HD: Adaptive Model Bitwidth for Hyperdimensional Computing”, IEEE International Conference on Computer Design (ICCD), 2021.
28.
[IOT]
[ML]
“ENFES: ENsemble FEw-Shot Learning For Intelligent Fault Diagnosis with Limited Data”, IEEE SENSORS 2021
29.
[BIO]
“Attention State Classification with In-Ear EEG”, BioCAS, 2021
30.
[HD]
“tiny-HD: Ultra-Efficient Hyperdimensional Computing Engine for IoT Applications”, Design Automation and Test in Europe (DATE), 2021
31.
[Energy]
“TruLook: A Framework for Configurable GPU Approximation”, Design Automation and Test in Europe (DATE), 2021
32.
[BIO]
“FPGA Acceleration of Protein Back-Translation and Alignment”, Design Automation and Test in Europe (DATE), 2021
33.
[IOT]
“Efficient Training on Edge Devices Using Online Quantization”, IEEE Design, Automation & Test in Europe Conference (DATE), 2020.
34.
[HD]
“Prive-HD: Privacy-Preserved Hyperdimensional Computing”, IEEE/ACM Design Automation Conference (DAC), 2020.
35.
[HD]
“SHEARer: Highly-Efficient Hyperdimensional Computing by Software-Hardware Enabled Multifold AppRoximation”, ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), pp. 241-246, 2020.
36.
[HD PIM]
“DUAL: Acceleration of Clustering Algorithms using Digital-based Processing In-Memory”, 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2020.
37.
[HD PIM]
“Multi-label HD Classification in 3D Flash”, IEEE/IFIP International Conference on VLSI and System-on-Chip (VLSI-SoC), 2020. (Invited Paper)
38.
[HD PIM]
“THRIFTY: Training with Hyperdimensional Computing across Flash Hierarchy”, IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2020.
39.
[ML]
“Improved Schemes for Episodic Memory based Lifelong Learning Algorithm”, 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada.
40.
[IOT]
“Efficient Distributed Training in Heterogeneous Mobile Networks with Active Sampling”, The 16th International Conference on Mobility, Sensing and Networking (MSN 2020)
41.
[HD]
“Detection of Epileptic Seizures from Surface EEG using Hyperdimensional Computing”, 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2020.
42.
[IOT]
“Reliability-Driven Deployment in Energy-Harvesting Sensor Networks”, International Conference on Network and Service Management (CNSM), 2020.
43.
[PIM ML]
“Deep Learning Acceleration with Neuron-to-Memory Transformation”, IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2020
44.
[PIM]
“SCRIMP: A General Stochastic Computing Architecture using ReRAM in-Memory Processing”, IEEE Design, Automation, and Test in Europe Conference (DATE), 2020
45.
[PIM]
“CryptoPIM: In-memory Acceleration for Lattice-based Cryptographic Hardware”, IEEE/ACM Design Automation Conference (DAC), 2020
(Best paper candidate)
46.
[PIM ML]
“Implementing Binary Neural Networks in Memory with Approximate Accumulation”, ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), 2020
47.
[PIM BIO]
“RAPIDx: A ReRAM Processing in-Memory Architecture for DNA Short Read Alignment”, 70th Virtual Meeting of The American Society of Human Genetics (ASHG), 2020
48.
[HD BIO]
“GenieHD: Efficient DNA Pattern Matching Accelerator using Hyperdimensional Computing”, IEEE Design, Automation & Test in Europe Conference & Exhibition (DATE), 2020.
(Best paper candidate)
49.
[IOT]
“RelIoT : Reliability Simulator for IoT Networks”, International Conference on Internet of Things (ICIOT), 2020
50.
[IOT]
“Simulating Reliability of IoT Networks with RelIoT”, IEEE 50th Conference on Dependable Systems and Networks (DSN), 2020
51.
[Energy]
“Revisiting FPGA Routing under Varying Operating Conditions”, International Conference on Field-Programmable Technology (FPT), 2020.
52.
[ML]
“LENARD: Lightweight ENsemble LeARner for MeDium-term Electricity Consumption Prediction”, IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 2020
53.
[IOT]
“RESPIRE: Robust SEnSor Placement OptImization in PRobabilistic Environments”, IEEE SENSORS, 2020
(Best Paper Candidate)
54.
[Energy]
“FPGA Energy Efficiency by Leveraging Thermal Margin”, IEEE International Conference on Computer Design (ICCD), 2019.
55.
[IOT]
“Dynamic Optimization of Battery Health in IoT Networks”, IEEE International Conference on Computer Design (ICCD), 2019
56.
[Energy]
“Workload-Aware Opportunistic Energy Efficiency in Multi-FPGA Platforms”, IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2019.
57.
[PIM ML]
“FloatPIM: In-Memory Acceleration of Deep Neural Network Training with High Precision”, IEEE International Symposium on Computer Architecture (ISCA), 2019.
58.
[HD]
“A Framework for Collaborative Learning in Secure High-Dimensional Space”, IEEE Cloud Computing (CLOUD), 2019.
59.
[HD]
“HDCluster: An Accurate Clustering Using Brain-Inspired High-Dimensional Computing”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2019.
60.
[HD]
“A Binary Learning Framework for Hyperdimensional Computing”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2019.
61.
[Energy]
“CADE: Configurable Approximate Divider for Energy Efficiency”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2019.
62.
[PIM]
“HR3AM: A Heat Resilient Design for RRAM-based Neuromorphic Computing”, IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2019.
63.
[PIM]
“Thermal-Aware Design and Management for Search-based In-Memory Acceleration”, IEEE/ACM Design Automation Conference (DAC), 2019.
64.
[HD]
“Moving Toward Real-Time Diagnostics using Brain-Inspired Hyperdimensional Computing”, AACR conference on Artificial Intelligence, Big Data, and Prediction in Cancer, 2019.
65.
[HD BIO]
“DNA Sequencing using Brain-inspired Hyperdimensional Computing”, GOMACTech Conference, 2019.
66.
[PIM ML]
“In-Memory Acceleration of Deep Neural Network”, GOMACTech Conference, 2019.
67.
[HD]
“Brain-Inspired Hyperdimensional Computing for Real-Time Health Analysis”, IEEE International Conference on Biomedical and Health Informatics (BHI), 2019.
68.
[PIM]
“DigitalPIM: Digital-based Processing In-Memory for Big Data Acceleration”, ACM Great lakes symposium on VLSI (GLSVLSI), 2019.
69.
[PIM]
“Exploring Processing In-Memory for Different Technologies”, ACM Great lakes symposium on VLSI (GLSVLSI), 2019.
70.
[ML]
“Hierarchical and Distributed Machine Learning Inference Beyond the Edge”, IEEE International Conference on Networking, Sensing and Control (ICNSC), 2019.
71.
[Energy]
“ARGA: Approximate Reuse for GPGPU Acceleration”, IEEE/ACM Design Automation Conference (DAC), 2019.
72.
[Energy]
“ApproxLP: Approximate Multiplication with Linearization and Iterative Error Control”, IEEE/ACM Design Automation Conference (DAC), 2019.
73.
[HD]
“BRIC: Locality-based Encoding for Energy-Efficient Brain-Inspired Hyperdimensional Computing”, IEEE/ACM Design Automation Conference (DAC), 2019.
(Best paper candidate)
74.
[IOT]
“Robust Velocity Control for Minimum Steady State Uncertainty in Persistent Monitoring Applications”, 2019 Annual American Controls Conference (ACC), 2019.
75.
[PIM BIO]
“RAPID: A ReRAM Processing in Memory Architecture for DNA Sequence Alignment”, International Symposium on Low Power Electronics and Design (ISLPED), 2019.
76.
[HD]
“SparseHD: Algorithm-Hardware Co-Optimization for Efficient High-Dimensional Computing”, International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2019.
77.
[HD]
“F5-HD: Fast Flexible FPGA-based Framework for Refreshing Hyperdimensional Computing”, ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA), 2019.
78.
[Energy]
“Thermal-Aware Design and Flow for FPGA Performance Improvement”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2019.
79.
[ML]
“SpotTune: Transfer Learning through Adaptive Fine-tuning”, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
80.
[ML]
“Depthwise Convolution is All You Need for Learning Multiple Visual Domains”, The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), 2019.
81.
[PIM]
“UPIM : Unipolar Switching Logic for High Density Processing-in-Memory Applications”, ACM Great lakes symposium on VLSI (GLSVLSI), 2019.
82.
[Energy]
“Application Performance Prediction and Optimization Under Cache Allocation Technology”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2019.
83.
[PIM]
“MAPIM: Mat Parallelism for High Performance Processing in Non-volatile Memory Architecture”, IEEE International Symposium on Quality Electronic Design (ISQED), 2019.
84.
[Energy]
“ALook: Adaptive Lookup for GPGPU Acceleration”, IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2019.
85.
[PIM]
“GRAM: Graph Processing in a ReRAM-based Computational Memory”, IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2019.
86.
[HD]
“FACH: FPGA-based Acceleration of Hyperdimensional Computing by Reducing Computational Complexity”, IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2019.
87.
[PIM]
“Visual Object Recognition Accelerator Based on Approximate In-Memory Processing”, Non-Volatile Memory Workshop (NVMW), 2018.
88.
[ML Energy]
“RNSnet: In-Memory Neural Network Acceleration Using Residue Number System”, IEEE International Conference on Rebooting Computing (ICRC), 2018.
89.
[HD]
“Efficient Human Activity Recognition Using Hyperdimensional Computing”, Internet of Things Systems (IoT) , 2018.
90.
[PIM]
“RAPIDNN: In-Memory Deep Neural Network Acceleration Framework”, arXiv preprint arXiv:1806.05794, 2018.
91.
[PIM]
“Processing In-Memory Architecture for Multiple Memory Technology”, IEEE/ACM Design Automation Conference (DAC), 2018.
92.
[Energy]
“Configurable Floating Point Multiplier for Approximate Computing”, IEEE/ACM Design Automation Conference (DAC), 2018.
93.
[PIM]
“GAS: A Heterogeneous Memory Acceleration for Graph Processing”, IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2018.
94.
[Energy]
“RMAC: Runtime Configurable Floating Point Multiplier for Approximate Computing”, IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2018.
95.
[PIM]
“FELIX: Fast and Energy-Efficient Logic in Memory”, IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2018.
96.
[PIM]
“GenPIM: Generalized Processing In-Memory to Accelerate Data Intensive Applications”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2018.
97.
[HD BIO]
“HDNA: Energy-Efficient DNA Sequencing Using Hyperdimensional Computing”, IEEE International Conference on Biomedical and Health Informatics (BHI), 2018.
98.
[PIM]
“Program Acceleration Using Nearest Distance Associative Search”, IEEE International Symposium on Quality Electronic Design (ISQED), 2018.
99.
[Energy]
“Deep Neural Network Acceleration Framework Under Hardware Uncertainty”, IEEE International Symposium on Quality Electronic Design (ISQED), 2018.
100.
[PIM]
“LUPIS: Latch-Up Based Ultra Efficient Processing-in-Memory System”, IEEE International Symposium on Quality Electronic Design (ISQED), 2018.
(Best paper candidate)
101.
[Energy]
“CANNA: Neural Network Acceleration using Configurable Approximation on GPGPU”, IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2018.
102.
[HD]
“Brain-Inspired Hyperdimensional Computing: Robust, Scalable and Energy Efficient Classifier”, TECHCON SRC Conference (TECHCON 2017).
103.
[HD]
“Hardware Acceleration of Brain-inspired Hyperdimensional Computing”, IEEE/ACM ICCAD, Workshop on Variability, Modeling, and Characterization (VMC), 2017.
104.
[HD]
“VoiceHD: Hyperdimensional Computing for Efficient Speech Recognition”, IEEE International Conference on Rebooting Computing (ICRC 2017)
105.
[Energy]
“P4: Phase-Based Power/Performance Prediction of Heterogeneous Systems via Neural Networks”, 2017
106.
[PIM]
“ORCHARD: Visual Object Recognition Accelerator Based on Approximate In-Memory Processing”, 2017 International Conference on Computer-Aided Design (ICCAD 2017).
107.
[PIM]
“NNgine: Ultra-Efficient Nearest Neighbor Accelerator Based on In-Memory Computing”, IEEE International Conference on Rebooting Computing (ICRC 2017).
108.
[PIM]
“CHOIR: General-Purpose Online Classification Accelerator via In-Memory Computing”, TECHCON SRC Conference (TECHCON 2017).
109.
[PIM Energy]
“Enabling Efficient System Design Using Vertical Nanowire Transistor Current Mode Logic”, IEEE International Conference on Very Large Scale Integration (VLSI-SoC), 2017
110.
[IOT]
“Cross-platform machine learning characterization for task allocation in IoT ecosystems”, IEEE Computing and Communication Workshop and Conference (CCWC), 2017.
111.
[IOT]
“Context Aware System Design”, SPIE Defense+Security, 2017.
112.
[Energy]
“CFPU: Configurable Floating Point Multiplier for Energy-Efficient Computing”, IEEE/ACM Design Automation Conference (DAC), 2017.
(Best poster award at Research Expo)
113.
[PIM]
“Ultra-Efficient Processing In-Memory for Data Intensive Applications”, IEEE/ACM Design Automation Conference (DAC), 2017.
114.
[PIM]
“Efficient Query Processing in Crossbar Memory”, International Symposium on Low Power Electronics and Design (ISLPED), 2017.
115.
[HD PIM]
“Exploring Hyperdimensional Associative Memory”, IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2017.
116.
[PIM]
“LookNN: Neural Network with No Multiplication”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2017.
117.
[PIM]
“CAP: Configurable Resistive Associative Processor for Near-Data Computing”, IEEE International Symposium on Quality Electronic Design (ISQED), 2017.
118.
[PIM]
“MPIM: Multi-Purpose In-Memory Processing using Configurable Resistive Memory”, IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2017.
119.
[PIM Energy]
“Resistive CAM Acceleration for Tunable Approximate Computing”, IEEE International Conference on Computer Design (ICCD), 2017.
(Best paper candidate)
120.
[PIM]
“Efficient Neural Network Acceleration on GPGPU using Content Addressable Memory”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2017.
121.
[PIM]
“Non-volatile Content Addressable Memory for Computing Acceleration”, Non-Volatile Memory Workshop (NVMW), 2017.
122.
[PIM]
“In-Memory Processing to Support Search-Based and Bitwise Computation”, Non-Volatile Memory Workshop (NVMW), 2017.
123.
[IOT Energy]
“Context-Aware and User-Centric Residential Energy Management”, IEEE Percom, 2017.
124.
[IOT]
“Accuracy-Resource Tradeoff for Edge Devices in Internet of Things”, IEEE PerIoT, 2017.
125.
[Energy]
“ACAM: Approximate Computing Based on Adaptive Associative Memory with Online Learning”, International Symposium on Low Power Electronics and Design (ISLPED), 2016.
126.
[Energy]
“A Low-Power Hybrid Magnetic Cache Architecture Exploiting Narrow-Width Values”, IEEE Non-Volatile Memory Systems and Applications Symposium (NVMSA), 2016.
127.
[Energy]
“An Interactive Context-aware Power Management Technique for Optimizing Sensor Network Lifetime,”, 2016, acceptance rate 18%.
128.
[IOT]
“A Modular Approach to Context-Aware IoT Applications”, IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI) 2016.
129.
[Energy]
“Optimal In-Network Packet Aggregation Policy for Maximum Information Freshness”, IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI) 2016, 2016.
130.
[Energy]
“Optimal In-Network Packet Aggregation Policy for Maximum Information Freshness”, European Conference on Networks and Communications (EuCNC) 2016.
131.
[Energy]
“Time-Series Clustering for Data Analysis in Smart Grid”, IEEE SmartGridComm, 2016.
132.
[Energy]
“Power Efficient, Hierarchical, Introspection framework for HPC Systems”, 2016
133.
[IOT Energy]
“Convex Optimization and Model Identification for Reliable and Energy Efficient QoS-Aware IoT Systems”, 2016
134.
[PIM Energy]
“MASC: Ultra-Low Energy Multiple-Access Single-Charge TCAM for Approximate Computing”, 2016
135.
[PIM Energy]
“Resistive Configurable Associative Memory for Approximate Computing”, 2016
136.
“Low Power Data-Aware STT-RAM based Hybrid Cache Architecture”, 2016
137.
[IOT]
“An Ontology-Driven Context Engine for the Internet of Things”, 2015
138.
“Accurate Emulation of Fast Optical Circuit Switches”, IEEE International Conference on Communications (ICC), 2015.
139.
“Dynamic Optical Switching for Latency”, 2015
140.
“S2Sim: Smart Grid Swarm Simulator”, 2015
141.
“A Context-Driven IoT Middleware Architecture”, 2015
142.
“Lifetime-dependent Battery Usage Optimization for Grid-Connected Residential Systems”, 2015
143.
[Energy]
“Optimization of Energy, Cooling and IO Performance for Data-intensive Applications on Enterprise Servers”, 2015
144.
[Energy]
“User Behavior Modeling for Estimating Residential Energy Consumption”, EAI International Conference on Smart Grids for Smart Cities, 2015.
145.
“Minimizing the Effects of Data Centers on Microgrid Instability”, International Green and Sustainable Computing Conference (IGSC), 2015.
146.
“BLAST: Battery Lifetime-constrained Adaptation with Selected Target”, 2015
147.
“Variability Emulation on Real Linux/Android Devices”, 2015
148.
“CAUSE: Critical Application Usage-Aware Memory System using Non-volatile Memory for Mobile Devices”, 2015
149.
“Smartphone Analysis and Optimization based on User Activity Recognition”, 2015
150.
“Characterization of User's Behavior Variations for Design of Replayable Mobile Workloads”, 2015
151.
“Hierarchical Design of Robust and Low Data Dependent 32KB FinFET Based SRAM Array”, 2015
152.
“Ultra-Low Read leakage SRAM Cell Utilizing Independently-Controlled-Gate FinFET”, 2015
153.
“Using STT-RAM Based Buffers in Digital Circuits”, 2015
154.
“Transmission manager in heterogeneous WSNs”, 2015
155.
“GazeTube: Gaze-Based Adaptive Video Playback for Bandwidth and Power Optimizations”, 2015
156.
“Modeling and Mitigation of Extra-SoC Thermal Coupling Effects and Heat Transfer Variations in Mobile Devices”, 2015
157.
“Providing Regulation Services and Managing Data Center Peak Power Budgets”, 2014, acceptance rate 23%.
158.
“Ambient variation-tolerant and inter components aware thermal management for mobile system on chips”, 2014
159.
“A Linux-Governor Based Dynamic Reliability Manager for Android Mobile Devices” in Design, Automation and Test in Europe Conference and Exhibition”, Design, Automation and Test in Europe (DATE), 2014, 2014.
160.
“Enabling Multi-Layer Provisioning and Optimization for Core Transport Networks with Unified Packet-Optical Control Plan”, 11th USENIX Symposium on Networked Systems Design and Implementation, NSDI, 2014.
161.
“OCSEMU: SDN Enabled Fast Hybrid Optical Circuit Switch Emulator Platform to Study Application Performance in the Emerging Optical Data Center”, OIDA Software Defined Photonic and Data Center Networks Workshop, 2014.
162.
“Enabling SDN-based Multi-Layer Provisioning and Optimization for Inter Data Center Networks with Unified Packet-Optical Control Plane”, OIDA Software Defined Photonic and Data Center Networks Workshop, 2014.
163.
“Scheduling Optical Tunnels to Distributed Applications”, USENIX Annual Technical Conference, ATC, 2014.
164.
[Energy]
“Energy Management and Cost Analysis in Residential Houses using Batteries”, 2014
165.
“Distributed Control of a Swarm of Buildings Connected to a Smart Grid”, 1st ACM International Conference on Embedded Systems For Energy-Efficient Buildings (BuildSys), 2014.
166.
“Traffic Optimization in Multi-Layered WANs using SDN”, IEEE Symposium on High Performance Interconnects, 2014.
Best Student Paper Award
167.
“TESLA: Taylor Expanded Solar Analog Forecasting”, 2014
168.
“Leveraging application context for efficient sensing”, 2014
169.
[Energy]
“User-centric Joint Power and Thermal Management for Smartphones”, 2014
170.
“Dynamic Variability Management in Mobile Multicore Processors under Lifetime Constraints”, 2014
171.
“An On-line Reliability Emulation Framework”, 2014
172.
“A Comprehensive Approach to Reduce the Energy Cost of Network of Datacenters”, 2013, acceptance rate 48%.
173.
“Residential Energy Simulation and Scheduling: A Case Study Approach”, 2013, acceptance rate 48%.
174.
“A novel protocol for adaptive broadcasting of sensor data in urban scenarios”, 2013, acceptance rate 33%.
175.
“Integrating Microsecond Circuit Switching into the Data Center”, 2013, acceptance rate 15%.
176.
“Green Web Services: Improving Energy Efficiency in Data Centers via Workload Predictions”, 2013
177.
“On Potential Design Impacts of Electromigration Awareness”, 2013, acceptance rate 31%.
178.
“Power Modeling and Thermal Management Techniques for Many Core Processors”, 2013, acceptance rate 48%.
179.
“Temperature Aware Thread Block Scheduling in GPGPUs”, 2013, acceptance rate 23%.
180.
“Distributed Battery Control for Peak Power Shaving in Data Centers”, 2013, acceptance rate 30%.
181.
[Energy]
“HomeSim: Comprehensive, Smart, Residential Electrical Energy Simulation and Scheduling”, 2013, acceptance rate 30%.
182.
“Correcting vibration-induced performance degradation in enterprise servers”, 2013, acceptance rate 37%.
183.
“Architecting Efficient Peak Power Shaving Using Batteries in Data Centers”, 2013, acceptance rate 26%.
184.
“Optimal Battery Configuration in a Residential Home with Time-of-Use Pricing”, 2013, acceptance rate 40%.
185.
“ECO-DAC Energy Control over Divide and Control”, 2013, acceptance rate 40%
186.
“Thermal Modeling of the Smartphone System”, 2013
187.
“Workload and User Experience-Aware Dynamic Reliability Management in Multicore Processors”, 2013
188.
[Energy]
“ECO-DAC: Energy Control Over Divide and Control”, 2013
189.
[Energy]
“Efficient Energy Management and Data Recovery in Sensor Networks using Latent Variables Based Tensor Factorization”, 2013
190.
“Benefits of Green Energy and Proportionality in High Speed Wide Area Networks Connecting Data Centers”, 2012, acceptance rate 27%.
191.
“Managing Distributed UPS Energy for Effective Power Capping in Data Centers”, 2012, acceptance rate 18%.
192.
“Fan-speed-aware scheduling of data intensive jobs”, 2012, acceptance rate 31%.
193.
“MAPG: Memory Access Power Gating”, 2012, acceptance rate 27%.
194.
“TAP: Token-Based Adpative Power Gating”, 2012, acceptance rate 31%.
195.
“The CitiSense Air Quality Monitoring Mobile Sensor Node”, In the 2nd International IPSN Workshop on Mobile Sensing, Beijing, China, 2012.
196.
“Context Aware Power Management of Mobile Systems for Sensing Applications”, In the 2nd International IPSN Workshop on Mobile Sensing, Beijing, China, 2012.
197.
“Model-driven Adaptive Wireless Sensing for Environmental Healthcare Feedback Systems”, 2012, acceptance rate 37%.
198.
“Context-Aware Mobile Power Management Using Fuzzy Inference as a Service”, accepted for publication at MobiCASE 2012, acceptance rate 32%.
199.
“JETC: Joint Energy Thermal and Cooling Management for Memory and CPU Subsystems in Servers”, 2012, acceptance rate 17%.
200.
“TempoMP: Integrated Prediction and Management of Temperature in Heterogeneous MPSoCs”, DATE 2012, acceptance rate 27%.
201.
“CitiSense - Adaptive Services for Community-Driven Behavioral and Environmental Monitoring to Induce Change”, In the 2nd International IPSN Workshop on Mobile Sensing, Beijing, China, 2012.
202.
“Themis: Energy Efficient Management of Workloads in Virtualized Data Centers”, 2012
203.
“Context-Aware Mobile Power Management Using Fuzzy Inference as a Service”, 2012
204.
“CitiSense: Improving Geospatial Environmental Assessment of Air Quality Using a Wireless Personal Exposure Monitoring System”, Wireless Health, 2012.
BEST PAPER AWARD
205.
“TAP: Token-aware Power Gating”, 2012
206.
“Latent Variables Based Data Estimation for Sensing Applications”, In 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), pp. 335-340, December 2011, acceptance rate 51%.
207.
“A Scheduling Algorithm for Consistent Monitoring Results with Solar Powered High-Performance Wireless Embedded Systems”, In Proceedings of International Symposium on Low Power Electronics and Design (ISLPED), August 2011, pp.259-264, acceptance rate 34%.
208.
“Utilizing Green Energy Prediction to Schedule Mixed Batch And Service Jobs in Data Centers”, HotPower 2011, acceptance rate 26%.
209.
“OS-level Power Minimization Under Tight Performance Constraints in General Purpose Systems”, ISLPED 2011, acceptance rate 31%.
210.
“Distributed Thermal Management for Embedded Heterogeneous MPSoCs with Dedicated Hardware Accelerators”, ICCD 2011.
211.
“Temperature-aware Scheduling for Embedded Heterogeneous MPSoCs with Special Purpose IP Cores”, ETMEC 2011.
212.
“DynAGreen: Hierarchical Dynamic Energy Efficient Task Assignment for Wireless Healthcare Systems”, In Proceedings of the Fifth International Conference on Body Area Networks (BodyNets '10), 2010, pp. 33-36.
213.
“A System for Online Power Prediction in Virtualized Environments Using Gaussian Mixture Models”, ACM/IEEE DAC 2010, acceptance rate 24%.
214.
“Energy Efficient Proactive Thermal Management in Memory Subsystem”, ISLPED 10, acceptance rate 25%.
215.
“Dynamic Workload Characterization for Power Efficient Scheduling on CMP Systems”, ISLPED 2010, acceptance rate 25%.
216.
“DynAHeal: Dynamic Energy Efficient Task Assignment for Wireless Healthcare Systems”, DATE 2010, acceptance rate 25%.
217.
“Energy-Efficient Variable-Flow Liquid Cooling in 3D Stacked Architectures”, DATE 2010, acceptance rate 25%.
218.
“GentleCool: Cooling Aware Proactive Workload Scheduling in Multi-Machine Systems”, DATE 2010.
219.
“DVFS Based Task Scheduling in a Harvesting WSN for Structural Health Monitoring”, DATE 2010, acceptance rate 25%.
220.
“Cool and Save: Cooling Aware Dynamic Workload Scheduling in Multi-socket CPU Systems”, ASP-DAC 2010, acceptance rate 33%.
221.
“Hybrid Dynamic Energy and Thermal Management in Heterogeneous Embedded Multiprocessors”, ASPDAC 2010, acceptance rate 33%.
222.
“ASPDAC 2010”, DoD High Performance Computer Modernization Program Users Group Conference 2010.
223.
“McPAT: An Integrated Power, Area, and Timing Modeling Framework for Multicore and Manycore Architectures”, 2009, acceptance rate 24%.
224.
“An Energy Efficient Wireless Communication Mechanism for Sensor Node Cluster Heads”, ISSNIP 09, acceptance rate 39%.
225.
“Modeling and Dynamic Management of 3D Multicore Systems with Liquid Cooling”, VLSI-SOC 09, 2009.
226.
“Temperature- and Cost-Aware Design of 3D Multiprocessor Architectures”, DSD 09, acceptance rate 26%.
227.
“Evaluating the Impact of Job Scheduling and Power Management on Processor Lifetime for Chip Multiprocessors”, SIGMETRICS 09, acceptance rate 15%.
228.
“Predict and Act: Dynamic Thermal Management for Multicore Processors”, ISLPED 09. acceptance rate 24%.
229.
“vGreen: A System for Energy Efficient Computing in Virtualized Environments”, ISLPED 09, acceptance rate 24%.
230.
“PDRAM: A hybrid PRAM DRAM main memory system”, DAC 09, acceptance rate 22%.
231.
“Energy management in wireless healthcare systems”, IPSN 09.
232.
“Adapting Performance in Energy Harvesting Wireless Sensor Networks for Structural Health Monitoring Applications”, Invited paper at IWSHM 09.
233.
“Adapting Task Utility in Externally Triggered Energy Harvesting Wireless Sensing Systems”, INSS 09.
234.
“Prediction and Management in Energy Harvested Wireless Sensor Nodes”, Invited paper at Wireless VITAE, 09.
235.
“Solar energy harvesting prediction algorithm”, Energy Harvesting Workshop, 2009.
236.
“Dynamic Thermal Management in 3D Multicore Architectures”, DATE 2009, acceptance rate 27%.
237.
“Proactive temperature balancing for low cost thermal management in MPSOCs”, ICCAD 08, acceptance rate 27%.
238.
“Analysis of Dynamic Voltage Scaling for System Level Energy Management”, USENIX-HotPower, 2008.
239.
“Scheduling above MAC to maximize battery lifetime and throughput in WLANs”, IASTED'08.
240.
“Proactive temperature management in MPSOCs”, ISLPED 2008, acceptance rate 31%.
241.
“Temperature management in MPSOCs using online learning”, DAC 2008, acceptance rate 23%.
242.
“Temperature-aware MPSOC scheduling for reducing hot spots and gradients”, ASPDAC'08, acceptance rate 29%.
243.
“An analytical model for the upper bound on temperature differences on a chip”, GLVLSI'08, acceptance rate 18%.
244.
“Accurate temperature sensing for efficient thermal management”, ISQED'08, acceptance rate 30%.
245.
“Dynamic Voltage Scaling using Machine Learning”, ISLPED 2007, acceptance rate 29%.
246.
“A different approach to sensor networking for SHM: Remote powering and interrogation with unmanned aerial vehicles,”, Workshop on Structural Health Monitoring, 2007.
247.
“An Active Sensing Platform for Structural Health Monitoring Application”, IPSN-SPOTS'07.
248.
“Temperature-aware task scheduling”, DATE'07, acceptance rate 22%.
249.
“Scheduling data delivery in heterogeneous wireless sensor networks”, ISM 06, acceptance rate 35%.
250.
“Dynamic Power Management Using Machine Learning”, ICCAD 06, acceptance rate 24%.
251.
“A Simulation Methodology for Reliability Analysis in Multi-Core SoCs”, GLSVLSI 06, acceptance rate 37%
252.
“Optmization of Reliability and Power Consumption in Systems on a Chip”, PATMOS 05.
253.
“Managing heterogeneous wireless environments via Hotspot servers”, MMCN 05.
254.
“Reliability and Power Management of Integrated Systems”, Invited paper at DSD 04.
255.
“Smart Edge Server : going beyond a wireless access point”, WMASH 04.
256.
[Energy]
“Energy estimation of peripheral devices in embedded systems”, GLSVLSI 04.
257.
“Heterogeneous wireless network management”, PACS 03.
258.
“Remote Power Control of Wireless Network Interfaces”, PATMOS 2003.
259.
[Energy]
“A WLAN Scheduling Algorithm to Reduce the Energy Consumption of a Distributed Speech Recognition Front-End,”, ESTIMedia 2003.
260.
“Complex Software Library Element Mapping with Symbolic Algebra”, DAC 02, acceptance rate 30%.
261.
“Managing Power Consumption in Networks on Chips”, DATE 02, acceptance rate 29%.
262.
“Low Power Embedded Software Optimization using Symbolic Algebra”, DATE 02, acceptance rate 29%.
263.
“Low-Power Fixed-Point Front-End Feature Extraction for Distributed Speech Recognition”, ICASSP 2002.
264.
“Dynamic Voltage Scaling for Portable Systems”, DAC 01, acceptance rate 39%.
265.
“Dynamic Power Management of Portable Systems”, MOBICOM 2000, acceptance rate 12%.
266.
[Energy]
“Source Code Optimization and Profiling of Energy Consumption in Embedded Systems”, Invited Paper, ISSS 2000.
267.
[Energy]
“Energy Efficient Design of Portable Wireless Systems”, ISLPED 00, acceptance rate 35%.
268.
“Dynamic Power Management of Laptop Hard Disk”, DATE 00, acceptance rate 34%.
269.
“Quantitative Comparison of Power Management Algorithms”, DATE 00, 2007, acceptance rate 34%.
Selected for publication in "The Best Paper in the Last 10 Years of DATE"
270.
“Event-driven Power Management of Portable Systems”, ISSS 99.
271.
[Energy]
“Energy-efficient design of Battery-Powered Embedded Systems”, ISLPED 99, acceptance rate 24%.
272.
[Energy]
“Cycle-Accurate Simulation of Energy Consumption in Embedded Systems”, DAC 99, acceptance rate 34%.
273.
“Software Controlled Power Management”, CODES 99.
274.
“Techniques for Intelligent VLSI Interconnect Design”, NFS Design and Manufacturing Grantees Conference 94.
275.
“Reduction of Signal Delay and Crosstalk in Electronic Packaging”, Meeting on Electrical Performance of Electronic Packages, 93.
276.
“An Integrated Framework for Modeling and Simulation of Electronic Packaging”, Proceedings of TECHCON, 93.
Journals
1.
[HD PIM]
“Stochastic-HD: Leveraging Stochastic Computing on the Hyper-Dimensional Computing Pipeline”, Frontiers in Neuroscience, 2022
2.
[HD PIM]
“HyDREA: Utilizing Hyperdimensional Computing for a More Robust and Efficient Machine Learning System”, ACM Transactions on Embedded Computing Systems (TECS), 2022
3.
[BIO]
“Swapping Metagenomics Preprocessing Pipeline Components Offers Speed and Sensitivity Increases”, Msystems, 2022
4.
[HD PIM]
“Store-n-Learn: Classification and Clustering with Hyperdimensional Computing across Flash Hierarchy”, ACM Transactions on Embedded Computing Systems (TECS), 2022
5.
“NASCENT2: Generic Near-Storage Sort Accelerator for Data Analytics on SmartSSD”, TRETS, 2022
6.
[IOT]
[ML]
“STEWART: STacking Ensemble for White-Box AdversaRial Attacks Towards more resilient data-driven predictive maintenance”, Computers in Industry
7.
[IOT]
“Automating and Optimizing Reliability-Driven Deployment in Energy-Harvesting IoT Networks”, IEEE Transactions on Network and Service Management (TNSM), 2022
8.
[IOT]
[ML]
“DOWELL: Diversity-induced Optimally Weighted EnsembLe Learner for Predictive Maintenance of Industrial Internet of Things Devices”, IEEE Internet of Things Journal, 2021
9.
[IOT]
“RESPIRE++: Robust Indoor Sensor Placement Optimization under Distance Uncertainty”, IEEE Sensors Journal, 2021
10.
[BIO]
“Wastewater and surface monitoring to detect COVID-19 in elementary school settings: The Safer at School Early Alert project”, Medrxiv, 2021
11.
[IOT]
“Optimizing Sensor Deployment and Maintenance Costs for Large-Scale Environmental Monitoring”, IEEE Transactions on Computer Aided Design of Integrated Circuits & Systems (TCAD), 2020
12.
[HD]
“Exploiting Computational Reuse for FPGA-based Acceleration of Hyperdimensional Computing”, IEEE Transactions on Computers (TC), 2020
13.
[BIO]
“FPGA Acceleration of Sequence Alignment: A Survey”, arXiv preprint, 2020
14.
[ML Energy]
“Hardware-Software Co-design to Accelerate Neural Network Applications”, ACM Journal on Emerging Technologies in Computing (JETC), 2019.
15.
[IOT]
“Evaluating and Improving the Reliability of Gas-Phase Sensor System Calibrations Across New Locations for Ambient Measurements and Personal Exposure Monitoring”, Atmospheric Measurement Techniques (AMT), 2019.
16.
[HD]
“Efficient Associative Search in Brain-Inspired Hyperdimensional Computing”, IEEE Design & Test (D&T), 2019.
17.
[PIM]
“Image Recognition Accelerator Design Using In-Memory Processing”, IEEE MICRO, IEEE Computer Society, 2019.
18.
[PIM]
“NNPIM: A Processing In-Memory Architecture for Neural Network Acceleration”, IEEE Transaction on Computers, 2019.
19.
[HD PIM]
“SearcHD: A Memory-Centric Hyperdimensional Computing with Stochastic Training”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2019
20.
[HD]
“Quanthd: A quantization framework for hyperdimensional computing”, IEEE TCAD, 2019
21.
“Runtime Efficiency-Accuracy Trade-off Using Configurable Floating Point Multiplier”, EEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2018.
22.
[PIM]
“NVQuery: Efficient Query Processing in Non-Volatile Memory”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2018.
23.
“Optimal Packet Aggregation Scheduling in Wireless”, IEEE Transactions on Mobile Computing, 2018.
24.
[HD]
“Low-Power Sparse Hyperdimensional Encoder for Language Recognition”, IEEE Design & Test, 2017.
25.
[Energy]
“NVALT: Approximate Lookup Table for GPU Acceleration”, IEEE Embedded System Letter (ESL), 2017.
26.
[IOT]
“Modular and Personalized Smart Health Application Design in a Smart City Environment”, IEEE Internet of Things Journal, 2017.
27.
[Energy]
“Optimal Distributed Nonlinear Battery Control”, IEEE JESTPE, 2017.
28.
[IOT]
“Scalable Application Design for the IoT”, IEEE Software, 2017.
29.
“Design of transmission manager in heterogeneous WSNs”, IEEE TETC, 2017.
30.
[Energy]
“Human Behavior Aware Energy Management in Residential Cyber-Physical Systems”, IEEE TETC, 2017.
31.
“Resistive CAM Acceleration for Tunable Approximate Computing”, IEEE Transactions on Emerging Topics in Computing (TETC), 2017.
32.
“Multi-stage Tunable Approximate Search in Resistive Associative Memory”, IEEE Transactions on Multi-Scale Computing Systems (TMSCS), 2017.
33.
“WARM: Workload-Aware Reliability Management in Linux/Android”, IEEE TCAD, 2016.
34.
“Approximate Computing using Multiple-Access Single-Charge Associative Memory”, IEEE Transactions on Emerging Topics in Computing (TETC), 2016.
35.
“NSF Expedition of Variability-Aware Software:Recent Results and Contributions”, IT-information technology, 2015.
36.
“The Swarm at the Edge of the Cloud”, IEEE Design & Test, 2014.
37.
“CoMETC: Coordinated Management of Energy/Thermal/Cooling in Servers”, ACM Transactions on Design Automation of Electronic Systems (TODAES), 19(1): 1, 2013.
38.
“Underdesigned and Opportunistic Computing in Presence of Hardware Variability”, IEEE TCAD, 2013.
39.
“Many-Core Token-Based Adaptive Power Gating”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2013.
40.
“PROMETHEUS: A Proactive Method for Thermal Management of Heterogeneous MPSoCs”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2013.
41.
“Energy Management in Wireless Mobile Systems Using Dynamic Task Assignment”, Journal of Low Power Electronics, vol. 9, no. 2, August , 2013.
42.
“Datacenter Modeling and Simulation with Focus on Energy Efficiency and Green Energy Integration”, IEEE Computer Special Issue on Modeling and Simulation of Smart and Green Computing Systems
43.
“Using Datacenter Simulation to Evaluate Green Energy Integration”, IEEE Computer Volume 45 Issue 9, 2012.
44.
“Energy-Efficient Multi-Objective Thermal Control for Liquid-Cooled 3D Stacked Architectures”, IEEE TCAD, 2011.
45.
“Temperature Aware Dynamic Workload Scheduling in Multisocket CPU Servers”, IEEE TCAD, 2011.
46.
“Resource Management in Heterogeneous Wireless Sensor Networks”, JOLPE, 2011.
47.
“vGreen: A System for Energy-Efficient Management of Virtual Machines”, ACM TODAES, 2010.
48.
“HOLLOWS: A Power-aware Task Scheduler for Energy Harvesting Sensor Nodes”, Journal of Intelligent Material Systems and Structures, 2010.
49.
“Accurate Direct and Indirect On-Chip Temperature Sensing for Efficient Dynamic Thermal Management”, IEEE TCAD, 2010.
50.
“Fast Switching of Threads Between Cores”, 2009
51.
“Utilizing Predictors for Efficient Thermal Management in Multiprocessor SoCs”, IEEE TCAD, 2009.
52.
“Using online learning for system level power management”, IEEE TCAD, 2009.
53.
“Static and dynamic temperature-aware scheduling for multiprocessor SoCs”, IEEE TVLSI, 2008.
54.
“Power and reliability management of SOCs”, IEEE Transactions on VLSI, 2007.
55.
“Energy Harvesting for Structural Health Monitoring in Sensor Networks”, ASCE Journal, 2007.
56.
“Analysis and Optimization of MPSoC Reliability”, Invited paper to Journal of Low-Power Electronics, April 2006.
57.
“Managing Power Consumption in Networks on Chips”, IEEE Transactions on VLSI, pp. 96- 107, Jan 2004.
58.
“Remote Power Control of Wireless Network Interfaces”, Special Issue of Journal of Embedded Computing, No. 3, 2004.
59.
“Energy Aware Distributed Speech Recognition for Wireless Mobile Devices”, Special Issue on Embedded Systems for Multimedia, IEEE Design & Test, 2004.
60.
“Complex Instruction and Software Library Mapping for Embedded Software Using Symbolic Algebra”, Special Issue of IEEE Transactions on CAD, pp.964-975, August 2003.
61.
“Event-Driven Power Management”, IEEE Transactions on CAD, pp.840-857, July 2001.
62.
“Dynamic Power Management at HP”, Invited Paper in Special Issue of Design and Test Journal, 2001.
63.
[Energy]
“Energy-Efficient Design of Battery-Powered Embedded Systems”, Special Issue of IEEE Transactions on VLSI, pp. 18-28, May 2001.
64.
“VLSI Interconnect Design Automation Using Qualitative and Symbolic Techniques”, IEEE Transactions on Components, Packaging, and Manufacturing Technology Part B: Advanced Packaging, pp.803-812, November 1996.
Books
1.
“Approximate CPU and GPU Design Using Emerging Memory Technologies”, Springer’s book titled Approximate Circuit, 2019.
2.
“Characterization of User's Behavior Variations for Design of Replayable Mobile Workloads”, Rosing, T. S. (2016, February). Characterization of User’s Behavior Variations for Design of Replayable Mobile Workloads. In Mobile Computing, Applications, and Services: 7th International Conference, MobiCASE 2015, Berlin, Germany, November 12-13, 2015, Revised Selected Papers (Vol. 162, p. 51). Springer.
3.
[Energy]
“Renewable Energy Prediction for Improved Utilization and Efficiency in Datacenters and Backbone Networks”, Computational Sustainability Springer Book Chapter, 2015.
4.
“Thermal Modeling and Management of Liquid-Cooled 3D Stacked Architectures”, Editors: J. Becker, M. Johann and R. Reis. Springer, VLSI-SoC: Technologies for Systems Integration (ISBN: 978-3-642-23119-3), p. 34-55, 2011
5.
[Energy]
“Energy and Thermally Aware Scheduling in Datacenters”, Energy-Efficient Distributed Computing, Edited by Albert Zomaya & Young Choon Lee , Wiley-Interscience, 2010
6.
[Energy]
“Energy Management in Heterogeneous Wireless Healthcare Networks”, in Energy-Efficient Distributed Computing, Edited by Albert Zomaya & Young Choon Lee, Wiley-Interscience 2010.
7.
“Quantitative Comparison of Power Management Algorithms”, in The Most Influential Papers of 10 Years DATE, Edited by Lauwereins, Rudy; Madsen, Jan, Springer-Verilag, 2008.
8.
“Power-aware resource management techniques for low-power embedded systems”, in Handbook of Real-Time and Embedded Systems, Edited by S. H. Son, I. Lee, J. Y-T Leung, Taylor-Francis Group LLC, 2006.
9.
[Energy]
“Dynamic Management of Power Consumption in Power Aware Computing”, Edited by R. Graybill, R. Mehlem, Kluwer Academic Publishers pp.102-125, 2002.
Patents
1.
“Length-of-the-Curve Stress Metric for Improved Characterization of Computer System Reliability”, Case No. SUN070065, U.S. Patent 7,483,816. Issued 01/2009.
2.
“Workload Scheduling in Multi-Core Processors”, 2008
3.
“Method and Apparatus for Controlling Temperature Variations in a Computer System”, 2008
4.
“Wireless node for active sensing in SHM applications”, filed 2008.
5.
“Apparatus and method for entering and exiting low power mode”, (United States Patent 7325100), 2007.
6.
“Dynamic power management in system on chips (SOC)”, (United States Patent Application 20070094525), 2007.
7.
“Temperature-Aware and Energy-Aware Scheduling in a Computer System”, 2007
8.
“Wireless resource management in heterogeneous networks”, submitted 2003.
9.
“Estimation and optimization of system I/O device power consumption”, filed 2003.
10.
“Server driven power management for wireless devices”, filed 2003.
11.
“Application-driven power-aware RTOS enhancements”, filed 2003.
12.
“Power Control For Wireless Portable Devices Using Wireless Channel Characteristic”, 2003
13.
“Power Control For Wireless Portable Devices Using Wireless Channel Characteristic”, filed 2003.
14.
“Method for Test Vector Analysis”, filed 1996, approved 1999.
Theses
1.
[PIM ML]
“Processing in Memory using Emerging Memory Technologies”, University of California, San Diego, 2018.
2.
“Context-Aware Platform Design and Optimization”, University of California, San Diego, 2017.
3.
[Energy]
“Optimized Energy Control in Power Distribution Systems”, ISQED'08, University of California, San Diego, 2017.
4.
“A Context-Aware Approach for Automation of End-User Elements in the Smart Grid”, 2016
5.
[Energy]
“Energy efficient data aggregation in wireless sensor networks”, University of California, San Diego, 2015.
6.
[Energy]
“Energy and Cost Efficient Data Centers”, University of California, San Diego, 2015.
7.
“Low-Latency Techniques for Improving System Energy Efficiency”, University of California, San Diego, 2013.
8.
“Adaptive Architectures for Peak Power Management”, University of California, San Diego, 2012.
9.
“Temperature and Cooling Management in Computing Systems”, University of California, San Diego. PhD, 2011.
10.
“Accurate Temperature Sensing and Ecient Dynamic Thermal Management in MPSoCs”, University of California, San Diego, 2011.
11.
“Dynamic Workload Characterization for Energy Efficient Computing”, 2011
12.
“Context based energy management for sensing applications”, University of California, San Diego. PhD, 2011.
13.
“Efficient Thermal Management for Multiprocessor Systems”, University of California, San Diego, 2009.
14.
“Management of Solar Harvested Energy in Actuation-Based Embedded Systems”, University of Bologna, 2008.
15.
“Distributed Proxy-Layer Scheduling in Heterogeneous Wireless Sensor Networks”, University of California, San Diego, 2007.
16.
“Design of an Active Sensing Platform for Wireless Structural Health Monitoring”, University of Bologna, 2007.
17.
[Energy]
“Energy Efficient System Design and Utilization”, Stanford University, 2001.
18.
“VLSI Interconnect Design Automation Using Qualitative and Quantitative Techniques”, University of Arizona, 1993.
Hyperdimensional Computing
Conferences
3.
[HD]
[IOT]
[ML]
“Poster Abstract: Attentive Multimodal Learning on Sensor Data using Hyperdimensional Computing”, ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2023
4.
[HD]
[ML]
“Lightning Talk: Private and Secure Learning at the Edge with Hyperdimensional Computing”, IEEE/ACM Design Automation Conference (DAC), 2023
5.
[HD]
[IOT]
“EmbHD: A Library for Hyperdimensional Computing Research on MCU-Class Devices”, The 2nd MobiCom Workshop on Networked Sensing Systems for a Sustainable Society (NET4us), 2023
7.
[HD PIM]
“HDnn-PIM: Efficient in Memory Design of Hyperdimensional Computing with Feature Extraction”, GLSVLSI, 2022
9.
[HD]
“GENERIC: Highly Efficient Learning Engine on Edge using Hyperdimensional Computing”, Design Automation Conference (DAC), 2022
10.
[HD]
“HyperSpike: HyperDimensional Computing for More Efficient and Robust Spiking Neural Networks”, Design Automation and Test in Europe (DATE), 2022
11.
[HD]
“XCelHD: An Efficient GPU-Powered Hyperdimensional Computing with Parallelized Training”, ASP-DAC, 2022
15.
[HD]
[IOT]
[ML]
“FedHD: Federated Learning with Hyperdimensional Computing”, The 28th Annual International Conference On Mobile Computing And Networking (MobiCom), Demo, 2022
17.
[HD]
“HyperRec: Efficient Recommender Systems with Hyperdimensional Computing”, 26th Asia and South Pacific Design Automation Conference (ASP-DAC), 2021
20.
[HD]
“HyDREA: Towards More Robust and Efficient Machine Learning Systems with Hyperdimensional Computing”, IEEE Design, Automation, and Test in Europe Conference (DATE) 2021
23.
[HD]
“Revisiting HyperDimensional Learning for FPGA and Low-Power Architectures”, 2021 IEEE International Symposium on High-Performance Computer Architecture
26.
[HD PIM]
“Stochastic-HD: Leveraging Stochastic Computing on Hyper-Dimensional Computing”, IEEE International Conference on Computer Design (ICCD), 2021.
27.
[HD]
“AdaptBit-HD: Adaptive Model Bitwidth for Hyperdimensional Computing”, IEEE International Conference on Computer Design (ICCD), 2021.
30.
[HD]
“tiny-HD: Ultra-Efficient Hyperdimensional Computing Engine for IoT Applications”, Design Automation and Test in Europe (DATE), 2021
34.
[HD]
“Prive-HD: Privacy-Preserved Hyperdimensional Computing”, IEEE/ACM Design Automation Conference (DAC), 2020.
35.
[HD]
“SHEARer: Highly-Efficient Hyperdimensional Computing by Software-Hardware Enabled Multifold AppRoximation”, ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), pp. 241-246, 2020.
36.
[HD PIM]
“DUAL: Acceleration of Clustering Algorithms using Digital-based Processing In-Memory”, 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2020.
37.
[HD PIM]
“Multi-label HD Classification in 3D Flash”, IEEE/IFIP International Conference on VLSI and System-on-Chip (VLSI-SoC), 2020. (Invited Paper)
38.
[HD PIM]
“THRIFTY: Training with Hyperdimensional Computing across Flash Hierarchy”, IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2020.
41.
[HD]
“Detection of Epileptic Seizures from Surface EEG using Hyperdimensional Computing”, 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2020.
48.
[HD BIO]
“GenieHD: Efficient DNA Pattern Matching Accelerator using Hyperdimensional Computing”, IEEE Design, Automation & Test in Europe Conference & Exhibition (DATE), 2020.
(Best paper candidate)
58.
[HD]
“A Framework for Collaborative Learning in Secure High-Dimensional Space”, IEEE Cloud Computing (CLOUD), 2019.
59.
[HD]
“HDCluster: An Accurate Clustering Using Brain-Inspired High-Dimensional Computing”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2019.
60.
[HD]
“A Binary Learning Framework for Hyperdimensional Computing”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2019.
64.
[HD]
“Moving Toward Real-Time Diagnostics using Brain-Inspired Hyperdimensional Computing”, AACR conference on Artificial Intelligence, Big Data, and Prediction in Cancer, 2019.
65.
[HD BIO]
“DNA Sequencing using Brain-inspired Hyperdimensional Computing”, GOMACTech Conference, 2019.
67.
[HD]
“Brain-Inspired Hyperdimensional Computing for Real-Time Health Analysis”, IEEE International Conference on Biomedical and Health Informatics (BHI), 2019.
73.
[HD]
“BRIC: Locality-based Encoding for Energy-Efficient Brain-Inspired Hyperdimensional Computing”, IEEE/ACM Design Automation Conference (DAC), 2019.
(Best paper candidate)
76.
[HD]
“SparseHD: Algorithm-Hardware Co-Optimization for Efficient High-Dimensional Computing”, International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2019.
77.
[HD]
“F5-HD: Fast Flexible FPGA-based Framework for Refreshing Hyperdimensional Computing”, ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA), 2019.
86.
[HD]
“FACH: FPGA-based Acceleration of Hyperdimensional Computing by Reducing Computational Complexity”, IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2019.
89.
[HD]
“Efficient Human Activity Recognition Using Hyperdimensional Computing”, Internet of Things Systems (IoT) , 2018.
97.
[HD BIO]
“HDNA: Energy-Efficient DNA Sequencing Using Hyperdimensional Computing”, IEEE International Conference on Biomedical and Health Informatics (BHI), 2018.
102.
[HD]
“Brain-Inspired Hyperdimensional Computing: Robust, Scalable and Energy Efficient Classifier”, TECHCON SRC Conference (TECHCON 2017).
103.
[HD]
“Hardware Acceleration of Brain-inspired Hyperdimensional Computing”, IEEE/ACM ICCAD, Workshop on Variability, Modeling, and Characterization (VMC), 2017.
104.
[HD]
“VoiceHD: Hyperdimensional Computing for Efficient Speech Recognition”, IEEE International Conference on Rebooting Computing (ICRC 2017)
115.
[HD PIM]
“Exploring Hyperdimensional Associative Memory”, IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2017.
1.
[HD PIM]
“Stochastic-HD: Leveraging Stochastic Computing on the Hyper-Dimensional Computing Pipeline”, Frontiers in Neuroscience, 2022
2.
[HD PIM]
“HyDREA: Utilizing Hyperdimensional Computing for a More Robust and Efficient Machine Learning System”, ACM Transactions on Embedded Computing Systems (TECS), 2022
4.
[HD PIM]
“Store-n-Learn: Classification and Clustering with Hyperdimensional Computing across Flash Hierarchy”, ACM Transactions on Embedded Computing Systems (TECS), 2022
12.
[HD]
“Exploiting Computational Reuse for FPGA-based Acceleration of Hyperdimensional Computing”, IEEE Transactions on Computers (TC), 2020
16.
[HD]
“Efficient Associative Search in Brain-Inspired Hyperdimensional Computing”, IEEE Design & Test (D&T), 2019.
19.
[HD PIM]
“SearcHD: A Memory-Centric Hyperdimensional Computing with Stochastic Training”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2019
20.
[HD]
“Quanthd: A quantization framework for hyperdimensional computing”, IEEE TCAD, 2019
24.
[HD]
“Low-Power Sparse Hyperdimensional Encoder for Language Recognition”, IEEE Design & Test, 2017.
Patents
Theses
Processing In Memory
Conferences
7.
[HD PIM]
“HDnn-PIM: Efficient in Memory Design of Hyperdimensional Computing with Feature Extraction”, GLSVLSI, 2022
18.
[PIM]
“DP-Sim: A Full-stack Simulation Infrastructure for Digital Processing In-Memory Architectures”, 26th Asia and South Pacific Design Automation Conference (ASP-DAC), 2021
26.
[HD PIM]
“Stochastic-HD: Leveraging Stochastic Computing on Hyper-Dimensional Computing”, IEEE International Conference on Computer Design (ICCD), 2021.
36.
[HD PIM]
“DUAL: Acceleration of Clustering Algorithms using Digital-based Processing In-Memory”, 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2020.
37.
[HD PIM]
“Multi-label HD Classification in 3D Flash”, IEEE/IFIP International Conference on VLSI and System-on-Chip (VLSI-SoC), 2020. (Invited Paper)
38.
[HD PIM]
“THRIFTY: Training with Hyperdimensional Computing across Flash Hierarchy”, IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2020.
43.
[PIM ML]
“Deep Learning Acceleration with Neuron-to-Memory Transformation”, IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2020
44.
[PIM]
“SCRIMP: A General Stochastic Computing Architecture using ReRAM in-Memory Processing”, IEEE Design, Automation, and Test in Europe Conference (DATE), 2020
45.
[PIM]
“CryptoPIM: In-memory Acceleration for Lattice-based Cryptographic Hardware”, IEEE/ACM Design Automation Conference (DAC), 2020
(Best paper candidate)
46.
[PIM ML]
“Implementing Binary Neural Networks in Memory with Approximate Accumulation”, ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), 2020
47.
[PIM BIO]
“RAPIDx: A ReRAM Processing in-Memory Architecture for DNA Short Read Alignment”, 70th Virtual Meeting of The American Society of Human Genetics (ASHG), 2020
57.
[PIM ML]
“FloatPIM: In-Memory Acceleration of Deep Neural Network Training with High Precision”, IEEE International Symposium on Computer Architecture (ISCA), 2019.
62.
[PIM]
“HR3AM: A Heat Resilient Design for RRAM-based Neuromorphic Computing”, IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2019.
63.
[PIM]
“Thermal-Aware Design and Management for Search-based In-Memory Acceleration”, IEEE/ACM Design Automation Conference (DAC), 2019.
66.
[PIM ML]
“In-Memory Acceleration of Deep Neural Network”, GOMACTech Conference, 2019.
68.
[PIM]
“DigitalPIM: Digital-based Processing In-Memory for Big Data Acceleration”, ACM Great lakes symposium on VLSI (GLSVLSI), 2019.
69.
[PIM]
“Exploring Processing In-Memory for Different Technologies”, ACM Great lakes symposium on VLSI (GLSVLSI), 2019.
75.
[PIM BIO]
“RAPID: A ReRAM Processing in Memory Architecture for DNA Sequence Alignment”, International Symposium on Low Power Electronics and Design (ISLPED), 2019.
81.
[PIM]
“UPIM : Unipolar Switching Logic for High Density Processing-in-Memory Applications”, ACM Great lakes symposium on VLSI (GLSVLSI), 2019.
83.
[PIM]
“MAPIM: Mat Parallelism for High Performance Processing in Non-volatile Memory Architecture”, IEEE International Symposium on Quality Electronic Design (ISQED), 2019.
85.
[PIM]
“GRAM: Graph Processing in a ReRAM-based Computational Memory”, IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2019.
87.
[PIM]
“Visual Object Recognition Accelerator Based on Approximate In-Memory Processing”, Non-Volatile Memory Workshop (NVMW), 2018.
90.
[PIM]
“RAPIDNN: In-Memory Deep Neural Network Acceleration Framework”, arXiv preprint arXiv:1806.05794, 2018.
91.
[PIM]
“Processing In-Memory Architecture for Multiple Memory Technology”, IEEE/ACM Design Automation Conference (DAC), 2018.
93.
[PIM]
“GAS: A Heterogeneous Memory Acceleration for Graph Processing”, IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2018.
95.
[PIM]
“FELIX: Fast and Energy-Efficient Logic in Memory”, IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2018.
96.
[PIM]
“GenPIM: Generalized Processing In-Memory to Accelerate Data Intensive Applications”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2018.
98.
[PIM]
“Program Acceleration Using Nearest Distance Associative Search”, IEEE International Symposium on Quality Electronic Design (ISQED), 2018.
100.
[PIM]
“LUPIS: Latch-Up Based Ultra Efficient Processing-in-Memory System”, IEEE International Symposium on Quality Electronic Design (ISQED), 2018.
(Best paper candidate)
106.
[PIM]
“ORCHARD: Visual Object Recognition Accelerator Based on Approximate In-Memory Processing”, 2017 International Conference on Computer-Aided Design (ICCAD 2017).
107.
[PIM]
“NNgine: Ultra-Efficient Nearest Neighbor Accelerator Based on In-Memory Computing”, IEEE International Conference on Rebooting Computing (ICRC 2017).
108.
[PIM]
“CHOIR: General-Purpose Online Classification Accelerator via In-Memory Computing”, TECHCON SRC Conference (TECHCON 2017).
109.
[PIM Energy]
“Enabling Efficient System Design Using Vertical Nanowire Transistor Current Mode Logic”, IEEE International Conference on Very Large Scale Integration (VLSI-SoC), 2017
113.
[PIM]
“Ultra-Efficient Processing In-Memory for Data Intensive Applications”, IEEE/ACM Design Automation Conference (DAC), 2017.
114.
[PIM]
“Efficient Query Processing in Crossbar Memory”, International Symposium on Low Power Electronics and Design (ISLPED), 2017.
115.
[HD PIM]
“Exploring Hyperdimensional Associative Memory”, IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2017.
116.
[PIM]
“LookNN: Neural Network with No Multiplication”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2017.
117.
[PIM]
“CAP: Configurable Resistive Associative Processor for Near-Data Computing”, IEEE International Symposium on Quality Electronic Design (ISQED), 2017.
118.
[PIM]
“MPIM: Multi-Purpose In-Memory Processing using Configurable Resistive Memory”, IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2017.
119.
[PIM Energy]
“Resistive CAM Acceleration for Tunable Approximate Computing”, IEEE International Conference on Computer Design (ICCD), 2017.
(Best paper candidate)
120.
[PIM]
“Efficient Neural Network Acceleration on GPGPU using Content Addressable Memory”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2017.
121.
[PIM]
“Non-volatile Content Addressable Memory for Computing Acceleration”, Non-Volatile Memory Workshop (NVMW), 2017.
122.
[PIM]
“In-Memory Processing to Support Search-Based and Bitwise Computation”, Non-Volatile Memory Workshop (NVMW), 2017.
134.
[PIM Energy]
“MASC: Ultra-Low Energy Multiple-Access Single-Charge TCAM for Approximate Computing”, 2016
135.
[PIM Energy]
“Resistive Configurable Associative Memory for Approximate Computing”, 2016
1.
[HD PIM]
“Stochastic-HD: Leveraging Stochastic Computing on the Hyper-Dimensional Computing Pipeline”, Frontiers in Neuroscience, 2022
2.
[HD PIM]
“HyDREA: Utilizing Hyperdimensional Computing for a More Robust and Efficient Machine Learning System”, ACM Transactions on Embedded Computing Systems (TECS), 2022
4.
[HD PIM]
“Store-n-Learn: Classification and Clustering with Hyperdimensional Computing across Flash Hierarchy”, ACM Transactions on Embedded Computing Systems (TECS), 2022
17.
[PIM]
“Image Recognition Accelerator Design Using In-Memory Processing”, IEEE MICRO, IEEE Computer Society, 2019.
18.
[PIM]
“NNPIM: A Processing In-Memory Architecture for Neural Network Acceleration”, IEEE Transaction on Computers, 2019.
19.
[HD PIM]
“SearcHD: A Memory-Centric Hyperdimensional Computing with Stochastic Training”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2019
22.
[PIM]
“NVQuery: Efficient Query Processing in Non-Volatile Memory”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2018.
Patents
Theses
1.
[PIM ML]
“Processing in Memory using Emerging Memory Technologies”, University of California, San Diego, 2018.
Bioinformatics Acceleration
Conferences
29.
[BIO]
“Attention State Classification with In-Ear EEG”, BioCAS, 2021
32.
[BIO]
“FPGA Acceleration of Protein Back-Translation and Alignment”, Design Automation and Test in Europe (DATE), 2021
47.
[PIM BIO]
“RAPIDx: A ReRAM Processing in-Memory Architecture for DNA Short Read Alignment”, 70th Virtual Meeting of The American Society of Human Genetics (ASHG), 2020
48.
[HD BIO]
“GenieHD: Efficient DNA Pattern Matching Accelerator using Hyperdimensional Computing”, IEEE Design, Automation & Test in Europe Conference & Exhibition (DATE), 2020.
(Best paper candidate)
65.
[HD BIO]
“DNA Sequencing using Brain-inspired Hyperdimensional Computing”, GOMACTech Conference, 2019.
75.
[PIM BIO]
“RAPID: A ReRAM Processing in Memory Architecture for DNA Sequence Alignment”, International Symposium on Low Power Electronics and Design (ISLPED), 2019.
97.
[HD BIO]
“HDNA: Energy-Efficient DNA Sequencing Using Hyperdimensional Computing”, IEEE International Conference on Biomedical and Health Informatics (BHI), 2018.
3.
[BIO]
“Swapping Metagenomics Preprocessing Pipeline Components Offers Speed and Sensitivity Increases”, Msystems, 2022
10.
[BIO]
“Wastewater and surface monitoring to detect COVID-19 in elementary school settings: The Safer at School Early Alert project”, Medrxiv, 2021
13.
[BIO]
“FPGA Acceleration of Sequence Alignment: A Survey”, arXiv preprint, 2020
Patents
Theses
Internet Of Things
Conferences
1.
[IOT]
[ML]
“Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks”, ACM/IEEE International Conference on Internet of Things Design and Implementation (IoTDI), 2023.
3.
[HD]
[IOT]
[ML]
“Poster Abstract: Attentive Multimodal Learning on Sensor Data using Hyperdimensional Computing”, ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2023
5.
[HD]
[IOT]
“EmbHD: A Library for Hyperdimensional Computing Research on MCU-Class Devices”, The 2nd MobiCom Workshop on Networked Sensing Systems for a Sustainable Society (NET4us), 2023
6.
[IOT]
“Remote Sensing with UAV and Mobile Recharging Vehicle Rendezvous”, 2022 Design, Automation, and Test in Europe (DATE) Conference
12.
[IOT]
[ML]
“ns3-fl: Simulating Federated Learning with ns-3”, The workshop on ns-3 (WNS3), 2022
13.
[IOT]
[ML]
“Self-Train: Self-Supervised On-Device Training for Post-Deployment Adaptation”, IEEE International Conference on Smart Internet of Things (SmartIoT), 2022
14.
[IOT]
[ML]
“DENSE-DEFENSE: Diversity Promoting Ensemble Adversarial Training Towards Effective Defense”, IEEE Sensors 2022
15.
[HD]
[IOT]
[ML]
“FedHD: Federated Learning with Hyperdimensional Computing”, The 28th Annual International Conference On Mobile Computing And Networking (MobiCom), Demo, 2022
19.
[IOT]
“Energy and QoS-Aware Dynamic Reliability Management of IoT Edge Computing Systems”, 26th Asia and South Pacific Design Automation Conference (ASP-DAC), 2021
21.
[IOT]
[ML]
“OPELRUL: Optimally Weighted Ensemble Learner for Remaining Useful Life Prediction”, IEEE International Conference on Prognostics and Health Management, 2021
24.
[IOT]
“Automating Reliable and Fault-Tolerant Design of LoRa-based IoT Networks”, International Conference on Network and Service Management (CNSM), 2021.
(Best Paper Award)
25.
[IOT]
“CAHEROS: Constraint-Aware HEuristic Approach for RObust Sensor Placement”, IEEE SENSORS 2021
28.
[IOT]
[ML]
“ENFES: ENsemble FEw-Shot Learning For Intelligent Fault Diagnosis with Limited Data”, IEEE SENSORS 2021
33.
[IOT]
“Efficient Training on Edge Devices Using Online Quantization”, IEEE Design, Automation & Test in Europe Conference (DATE), 2020.
40.
[IOT]
“Efficient Distributed Training in Heterogeneous Mobile Networks with Active Sampling”, The 16th International Conference on Mobility, Sensing and Networking (MSN 2020)
42.
[IOT]
“Reliability-Driven Deployment in Energy-Harvesting Sensor Networks”, International Conference on Network and Service Management (CNSM), 2020.
49.
[IOT]
“RelIoT : Reliability Simulator for IoT Networks”, International Conference on Internet of Things (ICIOT), 2020
50.
[IOT]
“Simulating Reliability of IoT Networks with RelIoT”, IEEE 50th Conference on Dependable Systems and Networks (DSN), 2020
53.
[IOT]
“RESPIRE: Robust SEnSor Placement OptImization in PRobabilistic Environments”, IEEE SENSORS, 2020
(Best Paper Candidate)
55.
[IOT]
“Dynamic Optimization of Battery Health in IoT Networks”, IEEE International Conference on Computer Design (ICCD), 2019
74.
[IOT]
“Robust Velocity Control for Minimum Steady State Uncertainty in Persistent Monitoring Applications”, 2019 Annual American Controls Conference (ACC), 2019.
110.
[IOT]
“Cross-platform machine learning characterization for task allocation in IoT ecosystems”, IEEE Computing and Communication Workshop and Conference (CCWC), 2017.
111.
[IOT]
“Context Aware System Design”, SPIE Defense+Security, 2017.
123.
[IOT Energy]
“Context-Aware and User-Centric Residential Energy Management”, IEEE Percom, 2017.
124.
[IOT]
“Accuracy-Resource Tradeoff for Edge Devices in Internet of Things”, IEEE PerIoT, 2017.
128.
[IOT]
“A Modular Approach to Context-Aware IoT Applications”, IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI) 2016.
133.
[IOT Energy]
“Convex Optimization and Model Identification for Reliable and Energy Efficient QoS-Aware IoT Systems”, 2016
137.
[IOT]
“An Ontology-Driven Context Engine for the Internet of Things”, 2015
6.
[IOT]
[ML]
“STEWART: STacking Ensemble for White-Box AdversaRial Attacks Towards more resilient data-driven predictive maintenance”, Computers in Industry
7.
[IOT]
“Automating and Optimizing Reliability-Driven Deployment in Energy-Harvesting IoT Networks”, IEEE Transactions on Network and Service Management (TNSM), 2022
8.
[IOT]
[ML]
“DOWELL: Diversity-induced Optimally Weighted EnsembLe Learner for Predictive Maintenance of Industrial Internet of Things Devices”, IEEE Internet of Things Journal, 2021
9.
[IOT]
“RESPIRE++: Robust Indoor Sensor Placement Optimization under Distance Uncertainty”, IEEE Sensors Journal, 2021
11.
[IOT]
“Optimizing Sensor Deployment and Maintenance Costs for Large-Scale Environmental Monitoring”, IEEE Transactions on Computer Aided Design of Integrated Circuits & Systems (TCAD), 2020
15.
[IOT]
“Evaluating and Improving the Reliability of Gas-Phase Sensor System Calibrations Across New Locations for Ambient Measurements and Personal Exposure Monitoring”, Atmospheric Measurement Techniques (AMT), 2019.
26.
[IOT]
“Modular and Personalized Smart Health Application Design in a Smart City Environment”, IEEE Internet of Things Journal, 2017.
28.
[IOT]
“Scalable Application Design for the IoT”, IEEE Software, 2017.
Patents
Theses
Energy Efficient Design
Conferences
22.
[Energy]
“NASCENT: Near-Storage Acceleration of Database Sort on SmartSSD”, International Symposium on Field-Programmable Gate Arrays (FPGA), 2021.
31.
[Energy]
“TruLook: A Framework for Configurable GPU Approximation”, Design Automation and Test in Europe (DATE), 2021
51.
[Energy]
“Revisiting FPGA Routing under Varying Operating Conditions”, International Conference on Field-Programmable Technology (FPT), 2020.
54.
[Energy]
“FPGA Energy Efficiency by Leveraging Thermal Margin”, IEEE International Conference on Computer Design (ICCD), 2019.
56.
[Energy]
“Workload-Aware Opportunistic Energy Efficiency in Multi-FPGA Platforms”, IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2019.
61.
[Energy]
“CADE: Configurable Approximate Divider for Energy Efficiency”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2019.
71.
[Energy]
“ARGA: Approximate Reuse for GPGPU Acceleration”, IEEE/ACM Design Automation Conference (DAC), 2019.
72.
[Energy]
“ApproxLP: Approximate Multiplication with Linearization and Iterative Error Control”, IEEE/ACM Design Automation Conference (DAC), 2019.
78.
[Energy]
“Thermal-Aware Design and Flow for FPGA Performance Improvement”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2019.
82.
[Energy]
“Application Performance Prediction and Optimization Under Cache Allocation Technology”, IEEE/ACM Design Automation and Test in Europe Conference (DATE), 2019.
84.
[Energy]
“ALook: Adaptive Lookup for GPGPU Acceleration”, IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2019.
88.
[ML Energy]
“RNSnet: In-Memory Neural Network Acceleration Using Residue Number System”, IEEE International Conference on Rebooting Computing (ICRC), 2018.
92.
[Energy]
“Configurable Floating Point Multiplier for Approximate Computing”, IEEE/ACM Design Automation Conference (DAC), 2018.
94.
[Energy]
“RMAC: Runtime Configurable Floating Point Multiplier for Approximate Computing”, IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2018.
99.
[Energy]
“Deep Neural Network Acceleration Framework Under Hardware Uncertainty”, IEEE International Symposium on Quality Electronic Design (ISQED), 2018.
101.
[Energy]
“CANNA: Neural Network Acceleration using Configurable Approximation on GPGPU”, IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 2018.
105.
[Energy]
“P4: Phase-Based Power/Performance Prediction of Heterogeneous Systems via Neural Networks”, 2017
109.
[PIM Energy]
“Enabling Efficient System Design Using Vertical Nanowire Transistor Current Mode Logic”, IEEE International Conference on Very Large Scale Integration (VLSI-SoC), 2017
112.
[Energy]
“CFPU: Configurable Floating Point Multiplier for Energy-Efficient Computing”, IEEE/ACM Design Automation Conference (DAC), 2017.
(Best poster award at Research Expo)
119.
[PIM Energy]
“Resistive CAM Acceleration for Tunable Approximate Computing”, IEEE International Conference on Computer Design (ICCD), 2017.
(Best paper candidate)
123.
[IOT Energy]
“Context-Aware and User-Centric Residential Energy Management”, IEEE Percom, 2017.
125.
[Energy]
“ACAM: Approximate Computing Based on Adaptive Associative Memory with Online Learning”, International Symposium on Low Power Electronics and Design (ISLPED), 2016.
126.
[Energy]
“A Low-Power Hybrid Magnetic Cache Architecture Exploiting Narrow-Width Values”, IEEE Non-Volatile Memory Systems and Applications Symposium (NVMSA), 2016.
127.
[Energy]
“An Interactive Context-aware Power Management Technique for Optimizing Sensor Network Lifetime,”, 2016, acceptance rate 18%.
129.
[Energy]
“Optimal In-Network Packet Aggregation Policy for Maximum Information Freshness”, IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI) 2016, 2016.
130.
[Energy]
“Optimal In-Network Packet Aggregation Policy for Maximum Information Freshness”, European Conference on Networks and Communications (EuCNC) 2016.
131.
[Energy]
“Time-Series Clustering for Data Analysis in Smart Grid”, IEEE SmartGridComm, 2016.
132.
[Energy]
“Power Efficient, Hierarchical, Introspection framework for HPC Systems”, 2016
133.
[IOT Energy]
“Convex Optimization and Model Identification for Reliable and Energy Efficient QoS-Aware IoT Systems”, 2016
134.
[PIM Energy]
“MASC: Ultra-Low Energy Multiple-Access Single-Charge TCAM for Approximate Computing”, 2016
135.
[PIM Energy]
“Resistive Configurable Associative Memory for Approximate Computing”, 2016
143.
[Energy]
“Optimization of Energy, Cooling and IO Performance for Data-intensive Applications on Enterprise Servers”, 2015
144.
[Energy]
“User Behavior Modeling for Estimating Residential Energy Consumption”, EAI International Conference on Smart Grids for Smart Cities, 2015.
164.
[Energy]
“Energy Management and Cost Analysis in Residential Houses using Batteries”, 2014
169.
[Energy]
“User-centric Joint Power and Thermal Management for Smartphones”, 2014
181.
[Energy]
“HomeSim: Comprehensive, Smart, Residential Electrical Energy Simulation and Scheduling”, 2013, acceptance rate 30%.
188.
[Energy]
“ECO-DAC: Energy Control Over Divide and Control”, 2013
189.
[Energy]
“Efficient Energy Management and Data Recovery in Sensor Networks using Latent Variables Based Tensor Factorization”, 2013
256.
[Energy]
“Energy estimation of peripheral devices in embedded systems”, GLSVLSI 04.
259.
[Energy]
“A WLAN Scheduling Algorithm to Reduce the Energy Consumption of a Distributed Speech Recognition Front-End,”, ESTIMedia 2003.
266.
[Energy]
“Source Code Optimization and Profiling of Energy Consumption in Embedded Systems”, Invited Paper, ISSS 2000.
267.
[Energy]
“Energy Efficient Design of Portable Wireless Systems”, ISLPED 00, acceptance rate 35%.
271.
[Energy]
“Energy-efficient design of Battery-Powered Embedded Systems”, ISLPED 99, acceptance rate 24%.
272.
[Energy]
“Cycle-Accurate Simulation of Energy Consumption in Embedded Systems”, DAC 99, acceptance rate 34%.
14.
[ML Energy]
“Hardware-Software Co-design to Accelerate Neural Network Applications”, ACM Journal on Emerging Technologies in Computing (JETC), 2019.
25.
[Energy]
“NVALT: Approximate Lookup Table for GPU Acceleration”, IEEE Embedded System Letter (ESL), 2017.
27.
[Energy]
“Optimal Distributed Nonlinear Battery Control”, IEEE JESTPE, 2017.
30.
[Energy]
“Human Behavior Aware Energy Management in Residential Cyber-Physical Systems”, IEEE TETC, 2017.
63.
[Energy]
“Energy-Efficient Design of Battery-Powered Embedded Systems”, Special Issue of IEEE Transactions on VLSI, pp. 18-28, May 2001.
3.
[Energy]
“Renewable Energy Prediction for Improved Utilization and Efficiency in Datacenters and Backbone Networks”, Computational Sustainability Springer Book Chapter, 2015.
5.
[Energy]
“Energy and Thermally Aware Scheduling in Datacenters”, Energy-Efficient Distributed Computing, Edited by Albert Zomaya & Young Choon Lee , Wiley-Interscience, 2010
6.
[Energy]
“Energy Management in Heterogeneous Wireless Healthcare Networks”, in Energy-Efficient Distributed Computing, Edited by Albert Zomaya & Young Choon Lee, Wiley-Interscience 2010.
9.
[Energy]
“Dynamic Management of Power Consumption in Power Aware Computing”, Edited by R. Graybill, R. Mehlem, Kluwer Academic Publishers pp.102-125, 2002.
Theses
3.
[Energy]
“Optimized Energy Control in Power Distribution Systems”, ISQED'08, University of California, San Diego, 2017.
5.
[Energy]
“Energy efficient data aggregation in wireless sensor networks”, University of California, San Diego, 2015.
6.
[Energy]
“Energy and Cost Efficient Data Centers”, University of California, San Diego, 2015.
17.
[Energy]
“Energy Efficient System Design and Utilization”, Stanford University, 2001.
Machine Learning
Conferences
1.
[IOT]
[ML]
“Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks”, ACM/IEEE International Conference on Internet of Things Design and Implementation (IoTDI), 2023.
2.
[ML]
“SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge”, The 4th CVPR Workshop on Continual Learning (CLVision), 2023.
3.
[HD]
[IOT]
[ML]
“Poster Abstract: Attentive Multimodal Learning on Sensor Data using Hyperdimensional Computing”, ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2023
4.
[HD]
[ML]
“Lightning Talk: Private and Secure Learning at the Edge with Hyperdimensional Computing”, IEEE/ACM Design Automation Conference (DAC), 2023
8.
[ML]
“PatterNet: Explore and Exploit Filter Patterns for Efficient Deep Neural Networks”, Design Automation Conference (DAC), 2022
12.
[IOT]
[ML]
“ns3-fl: Simulating Federated Learning with ns-3”, The workshop on ns-3 (WNS3), 2022
13.
[IOT]
[ML]
“Self-Train: Self-Supervised On-Device Training for Post-Deployment Adaptation”, IEEE International Conference on Smart Internet of Things (SmartIoT), 2022
14.
[IOT]
[ML]
“DENSE-DEFENSE: Diversity Promoting Ensemble Adversarial Training Towards Effective Defense”, IEEE Sensors 2022
15.
[HD]
[IOT]
[ML]
“FedHD: Federated Learning with Hyperdimensional Computing”, The 28th Annual International Conference On Mobile Computing And Networking (MobiCom), Demo, 2022
16.
[ML]
“Residue-Net: Multiplication-free Neural Network by In-situ, No-loss Migration to Residue Number Systems”, 26th Asia and South Pacific Design Automation Conference (ASP-DAC), 2021
21.
[IOT]
[ML]
“OPELRUL: Optimally Weighted Ensemble Learner for Remaining Useful Life Prediction”, IEEE International Conference on Prognostics and Health Management, 2021
28.
[IOT]
[ML]
“ENFES: ENsemble FEw-Shot Learning For Intelligent Fault Diagnosis with Limited Data”, IEEE SENSORS 2021
39.
[ML]
“Improved Schemes for Episodic Memory based Lifelong Learning Algorithm”, 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada.
43.
[PIM ML]
“Deep Learning Acceleration with Neuron-to-Memory Transformation”, IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2020
46.
[PIM ML]
“Implementing Binary Neural Networks in Memory with Approximate Accumulation”, ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), 2020
52.
[ML]
“LENARD: Lightweight ENsemble LeARner for MeDium-term Electricity Consumption Prediction”, IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 2020
57.
[PIM ML]
“FloatPIM: In-Memory Acceleration of Deep Neural Network Training with High Precision”, IEEE International Symposium on Computer Architecture (ISCA), 2019.
66.
[PIM ML]
“In-Memory Acceleration of Deep Neural Network”, GOMACTech Conference, 2019.
70.
[ML]
“Hierarchical and Distributed Machine Learning Inference Beyond the Edge”, IEEE International Conference on Networking, Sensing and Control (ICNSC), 2019.
79.
[ML]
“SpotTune: Transfer Learning through Adaptive Fine-tuning”, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
80.
[ML]
“Depthwise Convolution is All You Need for Learning Multiple Visual Domains”, The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), 2019.
88.
[ML Energy]
“RNSnet: In-Memory Neural Network Acceleration Using Residue Number System”, IEEE International Conference on Rebooting Computing (ICRC), 2018.
6.
[IOT]
[ML]
“STEWART: STacking Ensemble for White-Box AdversaRial Attacks Towards more resilient data-driven predictive maintenance”, Computers in Industry
8.
[IOT]
[ML]
“DOWELL: Diversity-induced Optimally Weighted EnsembLe Learner for Predictive Maintenance of Industrial Internet of Things Devices”, IEEE Internet of Things Journal, 2021
14.
[ML Energy]
“Hardware-Software Co-design to Accelerate Neural Network Applications”, ACM Journal on Emerging Technologies in Computing (JETC), 2019.
Patents
Theses
1.
[PIM ML]
“Processing in Memory using Emerging Memory Technologies”, University of California, San Diego, 2018.