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.
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).
Lopez, M. A. & Eirinaki, M., (2025). 2025 IEEE Conference on Artificial Intelligence (CAI).
Mattarelli E., Schecter A., Hinds P., Contractor N., (2025). . Research Policy 42(10).
Pendyala, V., Thakur, N., and Agarwal, R. (2025). . Electronics 14.14
Pendyala, V., and Hall, C. (2024). . Electronics 13.9.
Pendyala, V. S., & Thakur, N. B. (2025). . Neurocomputing, 131461.
Pendyala, V. S., & Patil, M. (2026). . In 2026 9th International Conference on Computational Intelligence in Data Science (ICCIDS), IEEE.
Wanaskar, K., Jena, G., and Eirinaki, M. (2025) . 2025 IEEE 11th International Conference on Big Data Computing Service and Machine Learning Applications (BigDataService).
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
Mattarelli, Raghuram, "Multiple Team Membership (MTM) through Technology: A Path Towards Individual and Team Wellbeing?" 鈥� NSF, 2025
Wanaskar, Jena, Eirinaki, "Multimodal Benchmarking and Recommendation of Text-to-Image Generation Models" 鈥� IEEE 11th International Conference on Big Data Computing Service and Machine Learning Applications (BigDataService), 2025
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
Associate 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
Associate 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
Elisa Mattarelli
Professor, School of Management
Distributed work, Global teams, Multiple team membership, Collaborative technology,
Future of work, Knowledge sharing, Communities
ORCID: 0000-0001-5810-1881
Vishnu S. Pendyala
Associate Professor of Applied Data Science
Responsible AI, AI for healthcare, Ethical and Explainable AI, Embodied AI and Robotics
ORCID: 0000-0001-6494-7832
Navrati Saxena
Associate Professor of Computer Science
Machine Learning, Artificial Intelligence, Wireless Networks, Sentiment Analysis,
Cellular Networks, Vehicular Networks
ORCID: 0000-0002-4875-0420
Potential collaborators and members of the media may contact us at officeofresearch@sjsu.edu.
