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Electrical and Computer Engineering Faculty

May Huang, PhD : Department Chair and Director of Research Development

May Huang, PhD

Department Chair and Director of Research Development


Dr. May Huang is the chair of the Electrical and Computer Engineering Department and Director of Research and Development at ITU. She also serves as a professor at the School of Software and Microelectronics, Peking University (PKU) in China and invited professor for teaching at Tsinghua University as well as Beijing University of Post and Telecommunication. She leads research activities at ITU including a joint research team with members from ITU and PKU. Dr. Huang brings more than 20 years of Silicon Valley IC design and software design experience to ITU. She was a designer and project manager at VLSI Technology, Inc., Hitachi Semiconductor America, and Virtual Silicon Technology. She participated as a member of the working group and balloter on VITAL, Verilog and Analog Extensions of VHDL toward IEEE standard. Her research interests are low power IC design and methodology and artificial intelligence.

Dr. Huang holds a bachelor’s degree from the South China University of Technology, a master’s degree from Santa Clara University and a doctorate from ITU, all in electrical engineering. She was the first PhD graduate at ITU completed under the supervision of ITU founder Dr. Shu-Park Chan.

Karl L. Wang, PhD : Professor and Director of Embedded Research Lab

Karl L. Wang, PhD

Professor and Director of Embedded Research Lab


Dr. Karl Wang is professor in the EECE Department and servers as Provost at ITU. He is an industry expert and visionary with more than 30 years of career experience. He served as Director of Advance Product Development at ARM, Inc. At ARM, Inc., he developed 65 and 45nm products. He served as Director of Microprocessor Development at Hitachi, Inc. where he led a large design team from Hitachi and ST Microelectronics in a joint venture for developing the world’s first low-power and high-performance microprocessor for SOC products. He also served as Vice President of Design Services and IP Business Division at UMC, Inc and Vice President of Research and Development at Silicon Motion, Inc.

Dr. Wang received his Bachelor’s degree from Rice University in Electrical Engineering, Master’s degrees and PhD from renowned Massachusetts Institute of Technology (MIT) in Electrical Engineering.

Eric Chen, PhD : Director of Artificial Intelligence Research Lab

Eric Chen, PhD

Director of Artificial Intelligence Research Lab


Dr. Eric Chen is a core faculty member at ITU. He is leading the Artificial Intelligence Lab at ITU, aiming at advancing research for indoor robotics motion planning and motion control. Before becoming a faculty member at ITU, he has worked at Google Inc and GE Healthcare as a software designer. He also has also teaching experience at the University of Waterloo as lecturer.

Dr. Chen received his BS degree in Computer Science from the University of Saskatchewan, Master's degree in math and a PhD in Computer Science from University of Waterloo. At the University of Waterloo, he wrote his dissertation on solving geometric problems in space-conscious models. His research expertise is in computational geometry, primarily designing algorithms and data structures for geometric problems with massive data sets.

Weihan Wang : Research Scientist

Weihan Wang

Research Scientist


Weihan Wang serves as a Research Scientist at ITU. Prior to working at ITU he served as the cofounder and CTO of AeroFS, Palo Alto. His areas of interest include distributed systems, server architectures, networking, security, web frontend and backend, DevOps systems and Toolchain.

Weihan received his Bachelors' degree in Computer Science from the Beijing University of Technology, a Masters of Science in Computer Science from Waterloo University, and is PhD candidate in Computer Science at University of Toronto. His candidacy research topic is distributed systems and mobile computing.

His work has resulted in two US patents in a cloud-based environment and cloud file management.

Dominik J. Schmidt, PhD : Director of Bioelectronics Research Lab

Dominik J. Schmidt, PhD

Director of Bioelectronics Research Lab


Dr. Dominik Schmidt is a core faculty member at ITU while serving as a technology analysis and investor at QVT Financial LP, and former senior director of Technology Development at Intel. At Intel, Dr. Schmidt helped design one of the first mobile cellular product with an Intel CPU. Dr. Schmidt also co-founded three companies including Airfly Communications Corporation, which was acquired by Intel. Dr. Schmidt has more than 80 patents granted or pending. At ITU, he is also supervising the university’s Bioelectronics Research Lab.

He received a Bachelor’s degree from University of California at Berkeley with a double major in electrical engineering and materials science. He received double Master’s degrees from Stanford University in electrical engineering and technology management. Dr. Schmidt also earned a doctorate in electrical engineering with a focus on ultra fast mixed-signal circuits and a minor in aeronautical engineering with a focus on space-based communications from Stanford University. He is also a senior member of IEEE, ARRL, NSPE, AAAS, SPIE, MRS and the Naval Institute.

John Ye, PhD : Director of SoC Research Lab

John Ye, PhD

Director of SoC Research Lab


Dr. John Ye is a professor at ITU while serving as a Director at Camel Microelectronics, Inc. He is an expert in VLSI high-speed circuit design, SoC and embedded systems. Dr. Ye is leading SOC researches at ITU. He previously worked as an engineering director at Fortemedia Inc. and Kilopass Technology Inc., a consultant for NEC Electronics and Trident Microsystems, and a designer in Sun Microsystems. His research expertise is in high-speed memory design, computer systems architecture, parallel computing architecture, embedded SoC architecture and design.

Dr. Ye received his Bachelor Degree in Physics from Fudan University, MS in Computer Engineering, and PhD in Solid-State Physics from University of Southern California.

Qingning Li, PhD : Core Faculty

Qingning Li, PhD

Core Faculty


Dr. Qingning Li is a core faculty member at ITU and serves as a consultant in the engineering business. He previously served as a hardware engineer at IBM, where he developed a new type of quasi-tester for testing read head stability, low noise RF amplifier, and control circuits. At IBM, he also led high frequency quasi-test development, performed quasi-data analysis, proposed new NLTS measurements, and signal to noise measurement methods. He also served as a staff engineer at MMC Technology, Readrite, and Phase Metrics. His research areas of expertise include magnetic recordings, semiconductors physics, RF electronics, optics and magnetic resonance and imaging. Dr. Li’ work has been featured in the Society of Magnetic Resonance in Medicine and International Society for Optical Engineering publications. At ITU, Dr. Li leads research in the green energy field.

Dr. Li received his Bachelor’s degree in optics from Zhongshan University, Masters and doctoral degrees in physics from the University of Utah.

John Kim, PhD : Core Faculty

John Kim, PhD

Core Faculty


Dr. JeongHee Kim is a core professor at ITU. He also works as an adjunct faculty at San Jose State University. Previously, he severed as a senior engineer of software verification at Broadcom, a district manager at Panasonic, and a consultant for Electronics, Telecommunications Research Institute (ETRI), Sybersay Communications, and Bell Labs in Lucent Tech. His research experience is in algorithm development of noise reduction, system optimization, performance analysis, and adaptive filtering process.

Dr. Kim received his Bachelor’s degree in electrical engineering from the University of Kansas and his Master’s degree in electrical engineering from West Coast University. He received his doctorate degree in electrical engineering from New Mexico State University, where his thesis covered stereophonic acoustic echo cancellation.

Ted Sun, PhD : Core Faculty

Ted Sun, PhD

Core Faculty


Dr. Ted Sun is a core faculty member at ITU. He previously served as an engineer at Integrated Device Technology, and Cadence where he developed design flows on both frontend and backend systems with a focus on design optimization, chip reliability, noise analysis, yield-awareness routing. He is also well experienced on EDA tools and system administration.

Dr. Sun received his Bachelor’s degree in Atmospheric Physics from the National Central University; M.S. in Management Science from University of Dayton, and PhD in Electrical Engineering from Santa Clara University. His research has been featured in statistical electro-migration analysis on chip reliability and failure prediction.

Qing Zhu, PhD : Faculty

Qing Zhu, PhD



Dr. Qing Zhu splits his time working at ITU and as a full-time CAD manager at eveRAM Technology Inc. He is a professional in CAD methodology, EDA tools for VLSI high-speed, and affordable low-power chips. Starting his career in 1995, he has also worked at Intel, SanDisk and several semiconductor startups.

Dr. Zhu received his Bachelor's Degree in Electrical Engineering from China and his PhD in Computer Engineering from University of California, Santa Cruz. He has published many technical papers and holds six US patents. His technical contributions include a new balanced clock routing algorithm, a novel chip and package co-design strategy, an iterative optimization algorithm for delay-constrained minimum-cost routing and a low-voltage swing clock distribution scheme. He is also a senior member of IEEE.

Henry Zhang, PhD : Faculty

Henry Zhang, PhD



Dr. Henry Zhang is an adjunct professor at ITU while working as a senior staff engineer at Sandisk Inc. He leads a team of logic designers on RTL and functional verification effort. Dr. Zhang was previously served as a lead Engineer for the switch fabric subsystem at Allegro Networks. He has filed three patents on chip architecture and algorithms.

He received his Bachelor’s in physics from Peking University, Master’s in computer science and engineering from the University of California at Santa Barbara, and doctorate in physics from the University of Texas at Austin. At the University of Texas, Dr. Zhang wrote his dissertation covered experimental and computational atomic/molecular physics. His research expertise is in logic design, digital systems architecture, and memory architecture and design.

Xiaoshu Qian, PhD : Core Faculty

Xiaoshu Qian, PhD

Core Faculty


Dr. Xiaoshu Qian is core professor at ITU while working full-time as a group manager in the broadband wireless division of Intel. He previously served as Senior Verification Engineer at Silicon Magic Corporation. Dr. Qian has been working on algorithm development, hardware, software, and firmware implementation in the area of signal and data processing over the last 19 years. He has authored or co-authored five journal papers, five conference papers, and owns five patents. He has taught more than a dozen courses in computer networks, wireless communications, DSP, and hardware/software design to Silicon Valley engineers and graduate students at Santa Clara University. He has also developed training courses for Intel University.

Dr. Qian received his Bachelors degree in physics from Zhejiang University in China, and Masters degrees in computer science and doctorate in electrical engineering from University of Rhode Island.

Raminder Bajwa, PhD : Faculty

Raminder Bajwa, PhD



Dr. Raminder Bajwa is an adjunct professor at ITU while full-time working as a member of technical staff at Google. He is a professional in architecture design of high performance and low power applications in communications, signal processing, mobile computing and networking. He has been working at Silicon Valley industry since 1995 and cofounded couple of companies.

Dr. Bajwa received his Bachelor's degree in computer science from Indian Institute of Technology, Bombay. He received a Master's degree in electrical engineering from Michigan Tech University and a doctorate in computer science from The Pennsylvania State University. He owns seven US patents and his research expertise is system designs and implementations.

Bhaskar Mantha, PhD : Faculty

Bhaskar Mantha, PhD



Bhaskar L. Mantha is an adjunct professor of Electrical and Computer Engineering at ITU. He teaches Linear Algebra, Numerical Analysis, Semiconductor Physics, and Devices at the university. Bhaskar has previously consulted at Stanford University on Organic Semiconductors-MATSCI 343. He taught “Design and Fabrication of Photovoltaic Cells” and “Introduction to Nanotechnology” at Santa Clara University. Bhaskar conducts research in Santa Clara University’s Physics Department on improving the stability of polymer solar cells. He is also a teaching consultant and semiconductor consultant. Dr. Mantha taught solar cell technologies in the Philippines (SunPower Corporation) and San Francisco (Yingli Green Solar, Bloo Solar). He worked in the semiconductor industry (Intel, VLSI Technology, Hynix, Zilog, Silicon Storage Technology) as a chip technologist for 30 years.

Bhaskar earned a PhD and MS degrees from the University of Cincinnati in Electrical Engineering with a focus in Solid State Electronics. He also received a MS and BS in Electronics and Communication Engineering from Osmania University.

John Ladasky, PhD : Faculty

John Ladasky, PhD



Dr. John Ladasky is a Bioelectronics instructor, serves as a Research Scientist at ITU and is the founder of the biotechnology startup, Blind Watchmaker LLC. His areas of interest include biological instrumentation, spectroscopy, computational chemistry, and immunology. Dr. Ladasky is an author on six peer-reviewed scientific publications in the fields of biological instrumentation, immunology, and evolutionary biology. Prior to attending graduate school, he worked at Becton Dickinson Biosciences on the research and development of novel medical instrumentation. His work at Becton Dickinson resulted in a patent for a novel method for measuring fluorescence lifetimes in biological systems.

Dr. Ladasky received his Bachelors' degree in Biochemistry from the University of California at Berkeley. He earned his PhD from the Graduate Program in Immunology at Stanford University. His dissertation and publications concerned the immunology of owl monkeys, an important laboratory animal in malaria research. As a postdoctoral fellow at Johns Hopkins University, Dr. Ladasky published novel findings concerning a mechanism used by the human immune system to identify foreign proteins.

Last modified: June 15, 2015