Cheng Wang
Assistant Professor at Iowa State University
United States
Summary
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Senior🎓
Top SchoolCheng Wang is an Assistant Professor in electrical and computer engineering with eight years of experience bridging physics, emerging microelectronics and AI hardware. His work spans device-to-system co-optimization of non-volatile memories, neuromorphic computing, and hardware-software codesign for machine learning accelerators, grounded in a Ph.D. in physics from UT Austin and early-career R&D at Seagate on high-density magneto-electronic memory. He has led projects that translated thin-film magnetics metrology and data-driven sensitivity studies into product-ready HDD media, and later developed in-memory computing architectures for beyond-CMOS technologies. Known for combining rigorous experimental metrology (VSM/MOKE/PPMS) with machine-learning-driven analysis, he brings a rare blend of hands-on device physics and system-level AI hardware design. Based in the United States, he also holds a Udacity Nanodegree in self-driving systems, reflecting an appetite for applied ML beyond pure research.
8 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.), physics, 3.8/4.0, Doctor of Philosophy (Ph.D.), physics, 3.8/4.0 at The University of Texas at AustinBachelor’s Degree, Physics, Bachelor’s Degree, Physics at Peking UniversityNanoDegree, Self-Driving Car Engineer, NanoDegree, Self-Driving Car Engineer at Udacity
English, ChineseGithub contributions (5)
cw26378/AstarPathFinding_ReciprocalVelocityObstacle_Unity
Jul 2018 - Apr 2021
Contributions:26 commits, 19 pushes, 1 branch in 2 years 9 months
cw26378/UdacityCarND-Traffic-Sign-Classifier
Nov 2017 - Nov 2018
Contributions:4 pushes, 1 branch in 11 months
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