Sotabase

Career

· Professor, MIT Department of Electrical Engineering and Computer Science2024–
· Co-leader, Emze Group (MIT CSAIL)2019–
· Associate Professor in Electrical Engineering and Computer Science Department, Massachusetts Institute of Technology (MIT)2017–
· Professor and Group Leader, MIT - Electrical Engineering and Computer Science Department2014–
· Professor, Department of Electrical Engineering & Computer Science, MIT (Massachusetts Institute of Technology)2014–
· Associate Professor in Electrical Engineering and Computer Science, MIT2013–
· Director, Energy-Efficient Multimedia Systems Group at MIT2010–
· Professor and Associate Professor, MIT Department of Electrical Engineering and Computer Science2010–
· Professor and Head of Energy-Efficient Multimedia Systems Group, MIT Massachusetts Institute of Technology (MIT) - CSAIL2010–
· Member of Technical Staff in Systems and Applications R&D Center, Texas Instruments (TI)2010–
· Principal Investigator, Medical Vision Group, Massachusetts Institute of Technology (MIT)

Publications (134)

Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Proceedings of the IEEE · 2017
3,408
cited
Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks
IEEE Journal of Solid-State Circuits · 2016
2,669
cited
Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks
International Symposium on Computer Architecture · 2016
1,576
cited
Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices
IEEE Journal on Emerging and Selected Topics in Circuits and Systems · 2018
953
cited
Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning
Computer Vision and Pattern Recognition · 2016
777
cited
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
European Conference on Computer Vision · 2018
550
cited
High Efficiency Video Coding (HEVC), Algorithms and Architectures
Integrated Circuits and Systems · 2014
386
cited
FastDepth: Fast Monocular Depth Estimation on Embedded Systems
IEEE International Conference on Robotics and Automation · 2019
343
cited
Efficient Processing of Deep Neural Networks
Synthesis Lectures on Computer Architecture · 2020
250
cited
14.5 Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks
IEEE International Solid-State Circuits Conference · 2016
246
cited
Accelergy: An Architecture-Level Energy Estimation Methodology for Accelerator Designs
2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD) · 2019
243
cited
High Throughput CABAC Entropy Coding in HEVC
IEEE transactions on circuits and systems for video technology (Print) · 2012
222
cited
Hardware for machine learning: Challenges and opportunities
IEEE Custom Integrated Circuits Conference · 2017
211
cited
DeeperLab: Single-Shot Image Parser
arXiv.org · 2019
196
cited
A method to estimate the energy consumption of deep neural networks
Asilomar Conference on Signals, Systems and Computers · 2017
184
cited
Core Transform Design in the High Efficiency Video Coding (HEVC) Standard
IEEE Journal on Selected Topics in Signal Processing · 2013
174
cited
Navion: A 2-mW Fully Integrated Real-Time Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones
IEEE Journal of Solid-State Circuits · 2018
147
cited
Using Dataflow to Optimize Energy Efficiency of Deep Neural Network Accelerators
IEEE Micro · 2017
121
cited
Technologies for Ultradynamic Voltage Scaling
Proceedings of the IEEE · 2010
119
cited
Low-Power Impulse UWB Architectures and Circuits
Proceedings of the IEEE · 2009
93
cited
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