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.

    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., and Tabatabaii, F., (2023) Spectral analysis perspective of why misinformation containment is still an unsolved problem. 2023 IEEE Conference on Artificial Intelligence.

• Award Highlights

  • 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

    Tiomkin, “Discovery and Utilization of Symmetries in Dynamical Systems” — University of Hertfordshire, 2022

• 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

  • CSU STEM-​NET

Featured Faculty

William Andreopoulos 
Assistant Professor of Computer Science
Data Science, Computational Biology, Software Engineering, High-Performance Computing
ORCID: 0000-0001-9097-1123

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@mblayst.com.