Anup Das
Philadelphia, Pennsylvania, United States
Summary
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SeniorAnup Das is an Associate Professor and PhD-trained embedded systems researcher with roughly a decade of international experience designing low-power, reliable CPU-GPU multiprocessor SoCs and translating user requirements into system architecture. He combines academic leadership at Drexel with hands-on IC design experience—leading front-end RTL and low-power DFT for million-gate SoCs used in SSDs, set-top boxes, and display subsystems. His research and engineering work spans machine-learning-driven run-time managers for embedded Linux (thread affinity, admission control, DVFS) to design-time methodologies that optimize reliability, performance and area for reconfigurable multiprocessors. He has driven multi-million dollar commercial projects and developed reinforcement-learning based OS managers deployed on platforms from PandaBoard to Xeon Phi. Practical yet research-forward, he uniquely bridges kernel-level run-time control with silicon implementation constraints to extend lifetime and reduce power. Based in Philadelphia, he pairs rigorous academic output with proven industry delivery across ARM, imec, LSI and semiconductor leaders.
9 years of coding experienceGithub contributions (3)
anupkdas-nus/VRL-DRAM
Mar 2018 - Jun 2018
Contributions:2 pushes, 1 branch in 2 months
federicohyo/ecgheartbeat
Nov 2016 - Nov 2016
Contributions:2 commits, 2 pushes in 3 days
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