Contact Info

Biography

Research with Rowan

 

Education:
Postdoctoral Research Associate, Future Technologies Group, Oak Ridge National Laboratory
Ph.D., Computer Science, University of Central Florida, 2019

Research Expertise: Computer Architecture, Emerging Devices, Electronic Design Automation, Workload Characterization, Post-Moore Architectures

Dr. Chakraborty is an Assistant Professor in the Department of Electrical and Computer Engineering. His research interests are primarily in the area of Emerging Computer Architectures - with a focus on auatomated synthesis of compute kernels using Post-Moore devices. His approach to design automation wields tools from formal methods, as well as artificial intelligence. Prior to joining Rowan University, he was a Postdoctoral Research Associate in the Future Technologies Group at Oak Ridge National Laboratory, where he worked on cryogenic memory and extremely heterogeneous computer architectures. He greatly enjoys mentoring both undergraduate and graduate student researchers. Dr. Chakraborty is also interested in domain-specific acclerator design, stochastic computing, quantum information processing and workload characterization for quantum computing systems.

Professional Memberships:
IEEE

Recent Publications:
Liu, Frank, Narasinga Rao Miniskar, Dwaipayan Chakraborty, and Jeffrey S. Vetter. "Deffe: a data-efficient framework for performance characterization in domain-specific computing." In Proceedings of the 17th ACM International Conference on Computing Frontiers, pp. 182-191. 2020.

Chakraborty, Dwaipayan, Andy Michel, Jodh Singh Pannu, Sunny Raj, Suresh Satapathy, Steven Lawrence Fernandes, and Sumit K. Jha. "Automated Synthesis of Memristor Crossbars using Deep Neural Networks". In Proceedings of the Frontiers in Intelligent Computing: Theory and Applications, 2020. Best Paper Award.

Pannu, Jodh Singh, Sunny Raj, Steven Lawrence Fernandes, Dwaipayan Chakraborty, Sarah Rafiq, Nathaniel Cady, and Sumit Kumar Jha. "Design and Fabrication of Flow-Based Edge Detection Memristor Crossbar Circuits." IEEE Transactions on Circuits and Systems II: Express Briefs 67, no. 5 (2020): 961-965.

Chakraborty, Dwaipayan, Sunny Raj, Steven Lawrence Fernandes, and Sumit Kumar Jha. "Input-aware flow-based computing on memristor crossbars with applications to edge detection." IEEE Journal on Emerging and Selected Topics in Circuits and Systems 9, no. 3 (2019): 580-591.

Hassen, Amad Ul, Dwaipayan Chakraborty, and Sumit Kumar Jha. "Free binary decision diagram-based synthesis of compact crossbars for in-memory computing." IEEE Transactions on Circuits and Systems II: Express Briefs 65, no. 5 (2018): 622-626.