Masum Habib is a Software Research Engineer with 13 years of expertise applying TCAD, NEGF and DFT tools to semiconductor device and process modeling, currently shaping transistor roadmaps at Intel. He blends deep device-physics intuition—quantum transport, electrostatics and ab initio methods—with pragmatic software engineering in C/C++, Python and HPC to deliver calibrated simulations and automated flows that guide experiments. His background spans academic NEGF simulator development and parallel code for charge, spin and phonon transport to production-grade field solvers and interconnect extraction for PDKs. Comfortable across low-level performance tuning (MPI/OpenMP, Valgrind, Klockwork) and ML tooling (TensorFlow, scikit-learn, pandas), he connects physics-driven models with data-centric workflows. Based in Portland, OR, he has a PhD in Electrical Engineering and a track record of building both research-grade simulators and industry-scale tools that shorten the path from physical insight to manufacturable outcomes. An oft-overlooked strength is his history of end-to-end system building—from HPC clusters and group websites to deployed device calibration pipelines—showing both hands-on engineering and scientific leadership.
13 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD) Electrical Engineering, Doctor of Philosophy (PhD) Electrical Engineering at University of California, Riverside
Master of Science (MS) Electrical and Electronic Engineering, Master of Science (MS) Electrical and Electronic Engineering at Bangladesh University of Engineering and Technology
Contributions:521 commits, 1 PR, 7 pushes in 3 years 4 months
physicspythonquantum-mechanicssimulationquantum
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Masum Habib - Software Research Engineer - TCAD Applications