Prof. Vir Phoha

In this talk, Prof. Phoha will present the potential of AI-driven early diagnosis and Digital Therapeutics (DTx) for neurological disorders.  Using the unique properties of data generated through neurological anomalies and disorders, one can use AI methods such as transfer learning from existing knowledge; one-shot and few-shot learning for spiking and sparse data, and hidden Markov models to find underlying relationships and causes of malignant neurological disorders. The speaker will show how the generated data can be captured through smart wearables and phones, how uncovering relationships provides insights for digital rehabilitation, and how using augmented reality and virtual reality provides tremendous potential for cognitive therapy, psychiatric assessments, and rehabilitation. Prof. Phoha will outline a proof-of-concept smart diagnostics-enabled mirror and discuss security issues in smart diagnostics.

Biography:

https://en.wikipedia.org/wiki/Vir_Phoha

Vir V. Phoha is currently a tenured full Professor of Electrical Engineering and Computer Science in the College of Engineering and Computer Science at Syracuse University, New York. His research interests include machine learning, nonlinear prediction, hidden pattern detection and correlation, and knowledge discovery and analysis. Professor Phoha has supervised 20 PhD students and 65 MS students.

 Professor Phoha is a Fellow of AAAS; AAIA; IEEE; NAI; and SDPS. He is an ACM Distinguished Scientist. He has won many research awards including the 2017 IEEE Region 1 Technical Innovation Award for contributions to Behavioral Biometrics.

Dr. Vishnu S. Pendyala of San Jose State University

Biography:

Vishnu S. Pendyala, PhD is a faculty member in Applied Data Science and an Academic Senator with San Jose State University, current chair of the IEEE Computer Society Santa Clara Valley Chapter, and IEEE Computer Society Distinguished Contributor. During his recent 3-year term as an ACM Distinguished Speaker and before that as a researcher and industry expert, he gave  numerous (70+) talks in various forums such as faculty development programs, the 12^th IEEE GHTC h5-index:14, h5-median:19, IEEE ANTS h5-index:15 h5-median:19, 11^th and 12^th IACC H5-Index: 606, H10-Index: 305, 10^th ICMC H5-index: 10, h5-median: 15, IUCEE, to audiences at venues such as Stanford University, University of Bolton, Universidad de Ingeniería y Tecnología, Lima, Peru, IIIT Hyderabad, KREA, IIT Indore, IIIT Bhubaneswar. Some of these talks are available on YouTube and IEEE.tv. He is a senior member of the IEEE and has over two decades of experience in the software industry in the Silicon Valley, USA. His book, “Veracity of Big Data,” is available in several libraries, including those of MIT, Stanford, CMU, the US Congress and internationally. Two other books on machine learning and software development that he edited are also well-received and found a place in the US Library of Congress and other reputed libraries. Dr. Pendyala taught a one-week course sponsored by the Ministry of Human Resource Development (MHRD), Government of India, under the GIAN program in 2017 to Computer Science faculty from all over the country and delivered the keynote in a similar program sponsored by AICTE, Government of India in 2022. Dr. Pendyala recently served on the US government's National Science Foundation (NSF) proposal review panel. He received the Ramanujan Memorial gold medal and a shield for his college at the State Math Olympiad.

Address:One Washington Sq, San Jose State University, San Jose, United States, 95192-0250