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.
○ Recent News and Highlights
○ Research Strength: Machine Learning
○ Research Strength: Ethical Technology
○ Research Strength: Robotics and Drones
Selected Publications
Chaphekar, G. & Jetcheva, J. (2022). HealthLies: Dataset and Machine Learning Models for Detecting Fake Health News. IEEE Eighth International Conference on Big Data Computing Service and Applications.
Bhandare, V. P. & Andreopoulos, W. (2023). Finding BERT Errors Using Activation Vectors. IEEE Ninth International Conference on Big Data Computing Service and Applications.
Du, S., Tiomkin, S., Kiciman, E., et al., (2020). AvE: Assistance via Empowerment. Advances in Neural Information Processing Systems, 33.
Campbell, R., Eirinaki, M., Park, Y. (2024). Scalable and Autonomous Network Defense Using Reinforcement Learning. IEEE Access, 12.
Ghosh, So, Ghosh, Sa, & Shah, C., (2023). Toward Connecting Speech Acts and Search Actions in Conversational Search Tasks. Proceedings of the Joint Conference on Digital Libraries, Santa Fe, New Mexico.
Pendyala, V., Thakur, N., and Agarwal, R. (2025). Explainable Use of Foundation Models for Job Hiring. Electronics 14.14
Pendyala, V., and Hall, C. (2024). Explaining misinformation detection using large language models. Electronics 13.9.
Award Highlights
Liu, Eirinaki, Wu, Adair, Burch, "SpartanAI: Elevating Course Design with Faculty and Student-Centric AI Agent" — California Learning Lab AI FAST, 2025
Liu, Wu, Eirinaki, "CollaborAIte: Empowering Faculty to Enhance Belonging, Retention, and Collaborative Learning Skills through AI Literacy Education" — NSF, 2024
Kanich, Eirinaki, "Cloudsweeper: Leveraging Language Models to Personalize Sensitive Archive Search" — CAHSI-Google Institutional Research Program, 2025
Hofman, Attar, Ghosh, Nojan, Saugher, “Cross-Campus Interdisciplinary Responsible Computing Learning Experiences” — Mozilla Foundation, 2023
Jetcheva, Rojas, Wiggins, Andreopoulos, Gutmann, “Empowering Low-Income Students to Succeed in Engineering and Computer Science” — NSF, 2023
Innovations
System and Method for Extracting and Using Prosody Features
A system for carrying out voice pattern recognition and a method for achieving it.
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
Souvick "Vic" Ghosh
Assistant Professor, School of Information
Information Retrieval, Applied AI, Conversational AI, Ethical AI, Social Media Analytics,
Human-Computer Interaction
ORCID: 0000-0003-1610-9038
Jorjeta Jetcheva
Assistant Professor of Computer Engineering
Artificial Intelligence, Natural Language Processing, Networking, Wireless Communications,
Smart Grid, Cybersecurity
ORCID: 0000-0001-5185-8400
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.
