Shak Hossain, PhD
Professor and Interim Chair of Electrical and Computer Engineering
Dr. Shak Hossain is a computer science faculty member with over 25 years of industry experience in Silicon Valley, bringing extensive applied expertise to computing education and research. His professional background includes leadership and technical roles in early-stage technology startups in the United States and Bangladesh, with specialization in intelligent information systems, document and data management platforms, cross-platform software development, cloud computing, web application security, and scalable distributed infrastructures.
His academic training includes studies in engineering at the Bangladesh University of Engineering and Technology (BUET) and a dual major in Computer Science and Physics from the University of Southern California. His early research in experimental physics examined quantum interference phenomena on alkali metal surfaces and resulted in publications in peer-reviewed journals, including Physical Review, Physical Review Letters, and the European Physical Journal.
Dr. Hossain earned his Ph.D. in Computer Science with a research focus on entity resolution, master data management, and large-scale data analysis using mathematical and algorithmic modeling. His current research interests include data-intensive systems, data governance, and the application of artificial intelligence, machine learning, and blockchain technologies to policy management and enterprise-scale computing systems.
Prof. Ahmed Banafa, PhD
Director of Continuing Education & Special Programs
Prof. Ahmed Banafa is a distinguished expert in IoT, Blockchain, Cybersecurity, and AI with a strong background in research, operations, and management. He has been recognized for his outstanding contributions, receiving the Certificate of Honor from the City and County of San Francisco, the Haskell Award for Distinguished Teaching from the University of Massachusetts Lowell, and the Author & Artist Award from San Jose State University. LinkedIn named him the No.1 tech voice to follow in 2018, acknowledging his predictive insights and influence. His groundbreaking research has been featured in renowned publications like Time, Nature, Forbes, IEEE, and the MIT Technology Review. He has been interviewed by major media outlets including ABC, CBS, NBC, Bloomberg, BBC, NPR, NHK, and FOX. Being a member of the MIT Technology Review Global Panel further highlights his prominence in the tech community.
Prof. Banafa is an accomplished author known for impactful books. His work "Secure and Smart Internet of Things (IoT) using Blockchain and Artificial Intelligence (AI)" earned him the San Jose State University Author and Artist Award and recognition as one of the Best Technology Books of All Time and Best AI Models Books of All Time. His book on "Blockchain Technology and Applications" also received acclaim and is integrated into curricula at prestigious institutions like Stanford University. Additionally, he has contributed significantly to Quantum Computing through his third book, and his fourth book on Artificial Intelligence in 2025. Prof. Banafa's educational journey includes Cybersecurity studies at Harvard University and Digital Transformation studies at the Massachusetts Institute of Technology (MIT), he is holding a Master's Degree in Electrical Engineering and a PhD in Artificial Intelligence.
Meet our Electrical and Computer Engineering Faculty
Engineering Faculty Directory
Muhammad Shumail, PhD
Dr. Muhammad Shumail is a Scientist at the SLAC National Accelerator Laboratory of Stanford University, where his research focuses on developing novel particle accelerators for industrial, medical, and scientific applications. He earned his B.S. in Electronic Engineering from the GIK Institute of Engineering Sciences and Technology in Pakistan.
Abdur Sikder, PhD
Dr. Abdur R. Sikder is a faculty member in the Department of Electrical and Computer Engineering at San Francisco Bay University. He teaches undergraduate and graduate courses in areas including Managing Enterprise Networks, Information Systems, Discrete Mathematics, System Administration, Machine Structures, and Software Development (Python, Java, C#, JavaScript), emphasizing project-based learning and applied problem solving aligned with ABET student outcomes in system design, technical competence, and professional practice.
Lei Zheng, DCE
Degree & Academic Institution:
Doctorate, Computer Engineering
MS, Computer Science
Courses Taught:
CS 531 - Python Applications Programming