Updates on the campus response to coronavirus (COVID-19)
Photo file: 
Full name: 
Suman Datta
Job title: 
Professor
; Georgia Research Alliance Eminent Scholar; Joseph M. Pettit Chair in Advanced Computing ; Joint appointment with the School of Materials Science and Engineering (MSE)
Technical Interest Groups: VLSI Systems and Digital Design, Nanotechnology
Email address: 
Office: 
Klaus 2360

Suman Datta is the Joseph M Pettit Chair of Advanced Computing and Georgia Research Alliance (GRA) Eminent Scholar and Professor in the School of Electrical & Computer Engineering at Georgia Tech. He received his B.Tech degree in Electrical Engineering from the Indian Institute of Technology, Kanpur, India, and his Ph.D. degree in Electrical and Computer Engineering from the University of Cincinnati, Ohio, USA. His research group focuses on semiconductor devices that enable new compute models such as in-memory compute, brain-inspired compute, cryogenic compute, resilient compute etc.

From 2015 till 2022, Datta was the Stinson Endowed Chair Professor of Nanotechnology in the Electrical Engineering Department at the University of Notre Dame, where he was the Director of a multi-university microelectronics research center, ASCENT, funded by the Semiconductor Research Corporation (SRC) and the Defense Advanced Research Projects Agency (DARPA). Datta also served as the Director of a six-university research center for Extremely Energy Efficient Collective Electronics (EXCEL), funded by the SRC and National Science Foundation (NSF) to explore an alternate computing hardware that leverages continuous-time dynamics of emerging devices to execute optimization, learning, and inference tasks.

From 2007 till 2015, he was a Professor of Electrical Engineering at The Pennsylvania State University, where his group pioneered advances in compound semiconductor-based quantum-well field effect transistors and tunneling field effect transistors.

From 1999 till 2007, he was in the Advanced Transistor Group at Intel Corporation, where he led device R&D effort for several generations of high-performance logic transistors such as high-k/metal gate, Tri-gate and strained channel CMOS transistors. He has published over 425 journal and refereed conference papers and holds more than 187 issued patents related to semiconductor devices. In 2013, Datta was named a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) for his contributions to high-performance advanced silicon and compound semiconductor transistor technologies. In 2016, he was named Fellow of the National Academy of Inventors (NAI) in recognition of his inventions that have made a tangible impact on quality of life, economic development, and the welfare of society.

Research interests: 
  • High-performance heterogenous compute with advanced CMOS
  • Brain-inspired collective state computing with advanced CMOS and beyond-CMOS semiconductors
  • Emerging semiconductors like ferroelectric field effect transistors, insulator-to-metal phase transition oxides, high mobility semiconducting oxides for near and in-memory compute and storage
  • Semiconductors for cryogenic computing and harsh environment computing
Distinctions: 
  • Intel Achievement Award for demonstration of high performance high-k metal gate CMOS transistors (2003) and Intel Logic Technology Quality Award for invention of Tri-gate transistors (2002)
  • The SEMI Award for North America (2012) for first development, integration and introduction of a successful high-k dielectric and metal electrode gate stack for CMOS IC production, implemented at the 45nm node in 2007
  • Best student paper awards at IEEE Device Research Conference (2010, 2011) and at IEEE Symposium on VLSI Technology and Circuits (2020)
  • The Penn State Engineering Alumni Association (PSEAS) Outstanding Research Award (2012) and the PSEAS Premier Research Award (2015)
  • Fellow of the Institute of Electrical and Electronics Engineers (IEEE) for contributions to high-performance advanced silicon and compound semiconductor transistor technologies (2013)
  • Fellow of the National Academy of Inventors (NAI) in recognition of his inventions that have made a tangible impact on quality of life, economic development and the welfare of society (2016)

S. Dutta, H. Ye, A Khandker, S. Kirtania, A. Khanna, K. Ni, S. Datta, Logic compatible high-performance ferroelectric transistor memory, IEEE Electron Device Letters, 382-385 (2022)

S. Dutta, H. Ye, A Khandker, S. Kirtania, A. Khanna, K. Ni, S. Datta, Logic compatible high-performance ferroelectric transistor memory, IEEE Electron Device Letters, 382-385 (2022)

S. Dutta, H. Ye, A Khandker, S. Kirtania, A. Khanna, K. Ni, S. Datta, Logic compatible high-performance ferroelectric transistor memory, IEEE Electron Device Letters, 382-385 (2022)

S. Dutta, G. Detorakis, A. Khanna, S. Datta et al. Neural sampling machine with stochastic synapse allows brain-like learning and inference. Nature Communications 13, 2571 (2022)

 KA Aabrar, SG Kirtania, A Lu, A Khanna, W Chakraborty, M San Jose, S Yu, S Datta, A Thousand State Superlattice (SL) FEFET Analog Weight Cell, IEEE Symposium on VLSI Technology and Circuits, 242-243 (2022)

W. Chakraborty, P Shrestha, A Gupta, R Saligram, S Spetalnick, J Campbell, A Raychowdhury, S Datta, Multi-bit per-cell 1T SiGe Floating Body RAM for Cache Memory in Cryogenic Computing, IEEE Symposium on VLSI Technology and Circuits, 302-303 (2022)

S Dutta, A Khanna, H Ye, MM Sharifi, A Kazemi, M San Jose, KA Aabrar, JG Mir, M Niemer, XS Hu, S Datta, Lifelong Learning with Monolithic 3D Ferroelectric Ternary Content-Addressable Memory. IEEE International Electron Devices Meeting (IEDM) (2021)

S Dutta, A. Khanna, AS Assoa, H Paik, D Schlom, Z Toroczkai, A Raychowdhury, S Datta, An Ising Hamiltonian solver based on coupled stochastic phase-transition nano-oscillators. Nature Electronics, 502-512 (2021)

S. Dutta, H Ye, W Chakraborty, Y-C Luo, M San Jose, B Grisafe, A Khanna, I Lightcap, S Shinde, S Yu, S Datta, Monolithic 3D integration of high endurance multi-bit ferroelectric FET for accelerating compute-in-memory. IEEE International Electron Devices Meeting (IEDM) 36.4.1-36.4.4 (2020)

H. Ye, J Gomez, W Chakraborty, S Spetalnick, S Dutta, K Ni, A Raychowdhury, S Datta, Double-gate W-doped amorphous indium oxide transistors for monolithic 3D capacitorless gain cell eDRAM. IEEE International Electron Devices Meeting (IEDM), 28.3. 1-28.3. 4 (2020)

A. Khan, A Keshavarzi, S Datta, The future of ferroelectric field-effect transistor technology. Nature Electronics, 588-597 (2020)

W. Chakraborty, U Sharma, S Datta, S Mahapatra, Hot carrier degradation in cryo-CMOS, IEEE International Reliability Physics Symposium (IRPS), 1-5 (2020)

 Dutta, C. Schafer, J. Gomez, K. Ni, S. Joshi, S. Datta, Supervised learning in all fefet-based spiking neural network: Opportunities and challenges. Frontiers in Neuroscience, 14, 634 (2020)

 Dutta, A. Parihar, A. Raychowdhury, S. Datta et al. Programmable coupled oscillators for synchronized locomotion. Nature Communications 10, 1-10 (2019)

Last revised September 9, 2022