Artificial Intelligence
Leading-Edge Silicon Valley Innovation
We approach artificial intelligence and its applications from a myriad of perspectives
and disciplinary frameworks. Situated in the heart of Silicon Valley, we are at the
leading edge of innovation, including technology and applications, generative technology,
security, ethics, education, and robotics prototyping. Below is a rotating selection
of our standout investigators in this area.
鈼�
鈼� Research Strength: Machine Learning
鈼� Research Strength: Ethical Technology
鈼� Research Strength: Robotics and Drones
Selected Publications
Chaphekar, G. & Jetcheva, J. (2022). . IEEE Eighth International Conference on Big Data Computing Service and Applications.
Bhandare, V. P. & Andreopoulos, W. (2023). . IEEE Ninth International Conference on Big Data Computing Service and Applications.
Du, S., Tiomkin, S., Kiciman, E., et al., (2020). . Advances in Neural Information Processing Systems, 33.
Campbell, R., Eirinaki, M., Park, Y. (2024). . IEEE Access, 12.
Ghosh, So, Ghosh, Sa, & Shah, C., (2023). . Proceedings of the Joint Conference on Digital Libraries, Santa Fe, New Mexico.
Jeong, T. (2025). . International Conference on Information and Computer Technologies (ICICT).
Pendyala, V., Thakur, N., and Agarwal, R. (2025). . Electronics 14.14
Pendyala, V., and Hall, C. (2024). . Electronics 13.9.
Award Highlights
Liu, Eirinaki, Wu, Adair, Burch, "SpartanAI: Elevating Course Design with Faculty and Student-Centric AI Agent" 鈥� California Learning Lab AI FAST, 2025
Liu, Wu, Eirinaki, "CollaborAIte: Empowering Faculty to Enhance Belonging, Retention, and Collaborative Learning Skills through AI Literacy Education" 鈥� NSF, 2024
Kanich, Eirinaki, "Cloudsweeper: Leveraging Language Models to Personalize Sensitive Archive Search" 鈥� CAHSI-Google Institutional Research Program, 2025
Hofman, Attar, Ghosh, Nojan, Saugher, 鈥淐ross-Campus Interdisciplinary Responsible Computing Learning Experiences鈥� 鈥� Mozilla Foundation, 2023
Jetcheva, Rojas, Wiggins, Andreopoulos, Gutmann, 鈥淓mpowering Low-Income Students to Succeed in Engineering and Computer Science鈥� 鈥� NSF, 2023
Innovations
Synaptic Array for Field-Training-Capable In-Memory Computing Using Non-Volatile Memory
Technologies
Binh Quang Le, U.S. Patent No. 12,334,150 B2
Affiliates
Featured Faculty
William Andreopoulos
Assistant Professor of Computer Science
Data Science, Computational Biology, Software Engineering, High-Performance Computing
ORCID: 0000-0001-9097-1123
Magdalini Eirinaki
Professor of Computer Engineering
Generative AI, Recommender Systems, Machine Learning, Graph Mining, AI applications
ORCID: 0000-0002-4711-3366
Assistant Professor, School of Information
Information Retrieval, Applied AI, Conversational AI, Ethical AI, Social Media Analytics,
Human-Computer Interaction
ORCID: 0000-0003-1610-9038
Assistant Professor of Computer Engineering
Artificial Intelligence, Natural Language Processing, Networking, Wireless Communications,
Smart Grid, Cybersecurity
ORCID: 0000-0001-5185-8400
Assistant Professor of Applied Data Science
Large Language Models (LLMs), Deep Learning
ORCID: 0000-0002-1831-8071
Binh Quang Le
Lecturer of Electrical Engineering
AI, Memory Design, Machine Learning, VLSI Design, Analog/Digital/Mixed Signals, Circuits,
Embedded Systems
ORCID: 0000-0003-0320-5717
Vishnu S. Pendyala
Assistant Professor of Applied Data Science
Social Justice and Equity, AI/Machine Learning, Misinformation Containment, Music
for the Masses
ORCID: 0000-0001-6494-7832
Potential collaborators and members of the media may contact us at officeofresearch@sjsu.edu.
