Dr. Sourav Dutta
Research Assistant Professor
- 131 Stinson Remick Hall
- (574) 631-1290
Sourav Dutta is currently a Research Assistant Professor with Dr. Suman Datta in Electrical Engineering department at University of Notre Dame. He received his Bachelors in Electrical Engineering from Jadavpur University, Kolkata, India, in 2012 and his Ph.D. in Electrical and Computer Engineering from Georgia Institute of Technology, Atlanta, USA, in 2017 under Dr. Azad Naeemi.
His current research focuses on emerging device architecture exploration and implementation to enable brain-inspired computing. His work involves experimental characterization, modeling and simulation of ferroelectric and phase-change materials for enabling neural network and coupled oscillator based neuromorphic hardware. Previously, he has worked on modeling and simulation of spintronic devices and interconnects for Beyond-CMOS application during his PhD. From May to July 2016, he was a visiting researcher at IMEC, Belgium where he was involved in modeling and simulation of nanoscale plasmonic logic gates, magneto-plasmonics and spin-plasmonics for boolean and non-boolean computation for Beyond-CMOS application.
- Dutta, S., Khanna, A., Gomex, J., Ni, K., Toroczkai, Z., Datta, S., “Experimental Demonstration of Phase Transition Nano-Oscillator Based Ising Machine”, accepted in IEEE International Electron Devices Meeting (IEDM) 2019
- Dutta, S., Parihar, A., Khanna, A., Gomez, J., Chakraborty, W., Jerry, M., Grisafe, B., Rawchowdhury, A., Datta., S., “Programmable Coupled Oscillators for Synchronized Locomotion”, accepted in Nature Communications 2019
- Dutta, S., Chakraborty, W., Khanna, A., Gomez, J., Joshi, S., Datta, S., “Spoken vowel classification using synchronization of phase transition nano-oscillators”, IEEE Symposium on VLSI Technology (VLSI) 2019
- Dutta, S., Khanna, A., Chakraborty, W., Gomez, J., Joshi, S., Datta, S., “Spoken vowel classification using synchronization of phase transition nano-oscillators”, IEEE Symposium on VLSI Technology (VLSI) 2019
- Dutta, S., Saha, A., Panda, P., Chakraborty, W, Gomez, J., Khanna, A., Gupta, S., Roy, K., Datta, S., “ Biologically Plausible Ferroelectric Quasi-Leaky Integrate and Fire Neuron”, IEEE Symposium on VLSI Technology (VLSI) 2019
Recipient of the 2018 Sigma Xi Best Ph.D. Thesis Award at Georgia Tech and 2009 Kishore Vaigyanik Protsahan Yojana (Young Scientist Encouragement Program) Fellowship in India.