All SFBU Electrical and Computer Engineering (ECE) faculty members possess the following qualities: advanced degrees earned in engineering and science disciplines, high-tech work experience, and enthusiasm in teaching and helping the students. Engineering is not a homogeneous discipline; it requires many special talents. Some faculty members in the school are goal-oriented designers, concerned with teaching students how to solve problems - how to synthesize relevant information and ideas and apply them in a creative, feasible design. Other engineering faculty members function more typically as methodoriented scientists, using the techniques of their disciplines in their teaching and research to investigate various natural and artificial phenomena.

Shak Hossain

Shak Hossain, PhD

Professor and Interim Chair of Electrical and Computer Engineering

Shak Hossain brings over 25 years of industry experience from the heart of Silicon Valley. A seasoned technologist and serial entrepreneur, he has played pivotal roles in numerous early-stage startups across the U.S. and Bangladesh. His expertise spans a wide range of domains, including Intelligent Capture Solutions, Document Management Systems, Cross-platform Mobile Application Development, Cloud Applications, Web Application Security, and Scalable Cloud Infrastructure. 

He began his academic journey at the Bangladesh University of Engineering and Technology (BUET), where he studied Engineering for a semester before relocating to the United States to pursue a dual major in Computer Science and Physics at the University of Southern California. A dedicated physics enthusiast, he conducted research on quantum interference of electrons on alkali metal surfaces, with his work published in renowned journals including the European Physics Journal, Physical Review, and Physical Review Letters. 

Later, he earned his PhD in Computer Science with a focus on Entity Resolution, Master Data Management, and large-scale data analysis through mathematical modeling. His research has evolved to explore the integration of Artificial Intelligence, Machine Learning, and Blockchain technologies in the realms of Data Governance and Policy Management.

Courses:
  • CS230
  • CS230L
  • CS571

 

Ahmed Banafa

Prof. Ahmed Banafa

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 he is preparing to release his fourth book on Artificial Intelligence in 2024. 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.

Courses: 
  • Senior Capstone Project - I
  • Computer Science Capstone Course
  • Probability and Statistics
  • Electrical Engineering Capstone Course
     

Meet our Electrical and Computer Engineering Faculty

Engineering Faculty Directory
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Nizar Albassam

Nizar N. Al Bassam is an IEEE Senior Member recognized with international awards, including an Honorable Mention from IEEE ComSoc-USA, and multiple research grants. He is currently serving as an adjunct faculty member at San Francisco Bay University and American River College, where he teaches courses related to electronics and computer science. 
VB

Vidhyacharan Bhaskar

Vidhyacharan has a diverse background in Electrical Engineering, Computer Science, and Mathematics. His expertise includes wireless communications, signal processing, coding theory, data science, machine learning, AI, queuing theory, and advanced mathematics. Proficient in programming languages such as Python, C/C++, Java, and assembly languages like MIPS and x86, he has made significant contributions to these fields. His research interests focus on 5G and 6G wireless communications. Vidhyacharan has worked as a wireless instructor at Qualcomm, teaching engineers at the company.
YC

Yasin Ceran

Courses: Machine Learning Introduction to Artificial Intelligence Mathematics and Statistics for Data Science Practical Applications of Algorithms
KC

Ken Cheung

Mr. Cheung is an experienced software developer with strong project management expertise, currently working at a leading high-tech semiconductor company. The company specializes in advanced testing systems for semiconductor manufacturers. Mr. Cheung's technical skills include object-oriented analysis and design, client-server applications, and system integration. He is also passionate about the latest internet technologies and the development of artificial intelligence applications.
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Dominic Dabish

Dominic Dabish is a software engineer, educator, and entrepreneur focused on building real-world tech and is passionate about teaching computer science to the next generation of builders. He is an Adjunct Professor of Computer Science at San Francisco Bay University, serving in the Department of Engineering and Computer Science. He earned both his undergraduate and graduate degrees in Computer Science from Oakland University, where he also served as a Graduate Fellow. 
Andrei Grigoriev

Andrei Grigoriev

Andrei is a Data Science and Machine Learning professor at San Francisco Bay University with 8+ years designing and teaching advanced computer‑science curricula. His industry‑backed courses blend Python, Pandas, and modern ML techniques with solid software‑engineering foundations in C/C++, Java, and Python. Andrei also brings hands‑on experience in robotics, network security, and computer architecture, giving students real‑world context for complex concepts. 
Chester He

Chester He

Chester holds a Doctorate in Computer Engineering and brings over 25 years of industry experience in computer networks and network security, spanning both startup environments and public companies. Known for his strong analytical and problem-solving skills, he also has more than 20 years of teaching experience in computer networking, network security, and network testing.
Jack Ho Profile

Jack Ho

Mr. Jack Ho is a seasoned software development professional with over 20 years of experience in networking security, network device management, electronic design automation, and cybersecurity. He has held various roles, including leadership positions managing international teams of over 20 people. Mr. Ho has consulted with companies like Apple and Microsoft, advising on design methodologies, hardware/software co-simulation, and tool usage. Currently, he works at a cybersecurity startup, helping companies identify vulnerabilities in their systems.