A team from Georgia Tech, led by PhD student Md Nahid Haque Shazon and advised by Dr. Azad Naeemi, explored how to make SOT-MRAM faster and more energy-efficient. By tuning the Dzyaloshinskii–Moriya interaction and using shaped current pulses—especially descending triangles—they achieved significant energy savings and speed improvements. The project won the People’s Choice Award for […]
Year: 2025
PI Panda’s Students selected as DAC Young Fellows

Ruokai Yin and Arkapravo Ghosh, PhD students in PI Priya Panda’s group, have been selected as DAC Young Fellows of the 2025 Design Automation Conference (DAC). The DAC Young Fellow program is designed for students entering the world of Electronic Design Automation, from Chips to Systems. Each year, approximately 150 students across the globe are […]
Arkapravo Ghosh presents work at Design Automation Conference (DAC 2025) DAC Young Fellows and MLSys Young Professional Symposium 2025

Arkapravo Ghosh, a Ph.D. student in PI Priyadarshini Panda’s group, presented his research at two prestigious venues in 2025. His work on diffusion-driven accelerator design was selected for the MLSys Young Professional Symposium 2025, sponsored by NSF, Google, Meta, Qualcomm, and other leading technology companies. An advanced version of this work was presented in the […]
Tushar Krishna wins DAC Under-40 Innovator’s Award

Tushar Krishna was one of the five winners of the Under-40 Innovator’s Award at the 62nd Design Automation Conference (DAC), held in San Francisco from June 22-26, 2025. The Under-40 Innovators Award honors individuals in industry or academia with technical contributions of notable impact in the field of design and automation of electronics.
Sixu Li won the 3rd Place in the 2025 DAC Ph.D. Forum

Sixu Li, a Ph.D. student in PI Yingyan (Celine) Lin’s group, has been awarded 3rd Place at the Ph.D. Forum of the 2025 Design Automation Conference (DAC). The DAC Ph.D. Forum, co-hosted by ACM SIGDA and IEEE CEDA, is a prestigious poster session where selected Ph.D. students present and discuss their dissertation work with the […]
Priyanka Raina presents at Stanford’s SystemX Workshop on “Designing Chips for AI with AI”

PI Priyanka Raina was invited to present at Stanford’s SystemX Alliance 2025 Spring Workshop on “Designing Chips for AI with AI”, where she gave a talk on “Automated Design Space Exploration and Generation of AI Accelerators” based on her COCOSYS research.
Priyanka Raina presents at the Royal Society, London

PI Priyanka Raina was invited by the Royal Society, London to present at the “Bits, neurons, and qubits for sustainable AI” workshop, where she gave a talk on “Automated Design Space Exploration and Generation of AI Accelerators” based on her COCOSYS research.
PI Shanbhag Organized Multi-JUMP 2.0 Center Workshop on “Requirements on Compute and Connectivity for Data Centers”

Theme I Leader Naresh Shanbhag organized a JUMP 2.0 Workshop on “Requirements on Compute and Connectivity for Data Centers” with speakers from COCOSYS, CUBIC, PRISM, and ACE on February 27, 2025. This workshop had a record attendance of 191 and led to the formation of the Compute-Connectivity (COCO) Working Group with representatives from the aforementioned […]
Cambridge Yang Graduates

Cambridge Yang recently graduated from the Massachusetts Institute of Technology with his Ph.D. in Electrical Engineering and Computer Science, completing his dissertation on “On the Learnability of General Reinforcement-learning Objectives” under the supervision of Professor Michael Carbin. Yang’s research addresses fundamental limitations in reinforcement learning by moving beyond traditional reward-based approaches to establish a theoretical […]
Differentiating Singular Computations

Researchers from the Massachusetts Institute of Technology, POSTECH, and KAIST have created SingularFlow, the first programming language with well-defined semantics for integrating and differentiating singular functions—mathematical functions that become undefined at certain points. The system addresses a fundamental challenge in scientific computing where traditional programming languages struggle with singularities that arise in physics, aerodynamics, mechanical […]