Electrical & Computer Engineering Faculty

Dr. Jahan Ghofraniha - Department Chair

Jahan Ghofraniha got his undergraduate degree from Sharif University of Technology and his master’s and Ph.D. from the University of British Columbia in Vancouver, Canada with specialization in pattern recognition, artificial intelligence, statistical and machine learning. He has over 20 years of industrial experience working in numerous application areas such communication systems, statistical signal processing, digital health and application of AI and deep learning strategies in disease prevention and predication. He was the CTO of health monitoring startup architecting and overseeing the implementation of advanced AI technologies to remote health monitoring system.  He has also been involved in undergraduate and graduate level teaching at universities in Canada and the US for over 20 years. He has been an effective academic administrator as a dean of school of engineering at one of the private universities in the Silicon Valley where he revised the curriculum to be aligned with industry needs. He has been teaching advanced courses in application of machine learning and deep learning in engineering, computer science and business such as marketing and supply chain management. More recently he helped design a new STEM-based curriculum for business analytics at the graduate level with an emphasis on hands-on aspect at International Technological University in Silicon Valley. He has also been an invited speaker in local universities and technical societies and has conducted numerous workshops in the US and overseas. His area of research is in the advanced machine learning, Deep learning and AI with application in engineering and business. He holds two US patents and has over thirty publications.

Dr. John Kim - Core Faculty


Friday 2:00 PM – 4:00 PM

Dr. JeongHee Kim is a core professor at ITU. He also works as an adjunct faculty at San Jose State University. Previously, he served 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 holds a PhD in electrical engineering from New Mexico State University, where his thesis covered stereophonic acoustic echo cancellation, Bachelor’s degree in electrical engineering from the University of Kansas and his Master of Science degree in Electrical Engineering from West Coast University.

Dr. John Ladasky - Adjunct Faculty and Research Scientist in the Bioelectronics Research Lab


Dr. John Ladasky serves as a faculty member and research scientist at ITU, and is also the founder of a biotechnology startup, Blind Watchmaker LLC. His areas of interest include biological instrumentation, spectroscopy, computational chemistry, and immunology.

Prior to attending graduate school, he worked at Becton Dickinson Biosciences on the research and development of novel medical instrumentation. Dr. Ladasky is an author on six peer-reviewed scientific publications in the fields of biological instrumentation, immunology, and evolutionary biology. His work at Becton Dickinson resulted in a patent for a novel method for measuring fluorescence lifetimes in biological systems.

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. Dr. Ladasky received his bachelor degree in biochemistry from the University of California at Berkeley.

Dr. Faramarz Mortezaie - Adjunct Faculty

Dr. Faramarz Mortezaie is an adjunct faculty member at ITU.

Dr. Ammar Rayes - Adjunct Faculty

Dominik Schmidt - Adjunct Faculty and Director of Bioelectronics Research Lab

Wednesday 6:00 PM – 9:00 PM Friday 6:00 PM – 9:00 PM

Ted Sun, PhD - Adjunct Faculty

Dr. Ted Sun is an adjunct 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. His research has been featured in statistical electro-migration analysis on chip reliability and failure prediction.

Dr. Sun received his PhD in electrical engineering from Santa Clara University, Bachelor’s degree in Atmospheric Physics from the National Central University, Master’s in Management Science from University of Dayton.

Qing Zhu, PhD - Adjunct Faculty

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. He began his career in 1995 working for Intel as their Senior CAD engineer, SanDisk as CAD Manager and Senior Staff CAD engineer, and several semiconductor startups. Dr. Zhu currently is the CAD Manager for Spin Transfer Technologies in Fremont, CA running the CAD/IT environment and automation/EDA flows for MRAM chips.

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.

Dr. Zhu received his PhD in Computer Engineering from University of California, Santa Cruz, Master in electrical Engineering and his Bachelor’s degree in electrical engineering from China.