[month] [year]

Prof. Joydeep Ghosh, University of Texas, Austin

Prof. Joydeep Ghosh, Schlumberger Centennial Chair Professor of Electrical and Computer Engineering at the University of Texas, Austin presented a  KCIS Distinguished Lecture on AI/ML for Personalized Healthcare: Attaining “segments of one” from Electronic Health Records on 11 July.

In his talk, Prof. Ghosh described diverse factors that are fostering the digital health movement and highlight some promising developments in this area. And he focused on personalized insights that can be gained from Electronic Health Records (EHRs) as well as social media via advanced predictive models. Key challenges such as the integration of data-driven insights with existing domain knowledge to produce even more readily acceptable and actionable results were also explained. Finally he shared some thoughts on the future of data-driven healthcare analytics and Health Informatics.

Prof. Joydeep Ghosh  joined University of Texas, Austin in 1988  after finishing his B.Tech from IIT Kanpur in 1983 and Ph.D from University of Southern California in 1988. His research areas are data mining and web mining, predictive modeling/predictive analytics, machine learning approaches such as adaptive multi-learner systems, and their applications to a wide variety of complex real-world problems.  Prof. Ghosh has published more than 400 refereed papers, 50 book chapters,  co-edited over 20 books and received 14 Best Paper Awards over the years. He has been a plenary/keynote speaker on several occasions such as ICHI’15, ICDM’13,(Health Informatics workshops at) KDD14, ICML13 and ICHI13; and has widely lectured on intelligent analysis of large-scale data. He served as the Conference Co-Chair or Program Co-Chair for several top data mining oriented conferences, including SDM’13, SDM’12 and KDD 2011.

He is a Fellow of the IEEE, founder-director of IDEAL (Intelligent Data Exploration and Analysis Lab), co-founder, consultant/advisor to several successful start-ups and is also a consultant to large corporations.  Currently he is the Chief Scientific Officer at CognitiveScale, an Augmented Intelligence Company https://www.cognitivescale.com/