Prof.Zaki

(10:00AM - 11:30AM) Transformers and Attention: Cover the fundamentals of attention, and recent advances for text and vision
(11:45AM - 1:15PM) Large Language Models: Cover BERT and GPT, and recent methods like ChatGPT
(2:30PM - 4:00PM) Autoencoders and Diffusion: Cover variational autoencoders and stable diffusion for images
(4:00PM - 4:30PM) Interaction with faculty and students

Biography:

Speaker Brief-Bio: Mohammed J. Zaki is a Professor and Department Head of Computer Science at RPI.  He received his Ph.D. degree in computer science from the University of Rochester in 1998. His research interests focus on novel data mining and machine learning techniques, particularly for learning from graph structured and textual data, with applications in bioinformatics, personal health and financial analytics. He has over 300 publications (and 6 patents), including the Data Mining and Machine Learning textbook (2nd Edition, Cambridge University Press, 2020). He has served as program co-chair for all of the major conferences in data mining, and as area chair and senior PC for all the major conferences in AI and machine learning (including ICML, AAAI, and SIGKDD). He is currently serving on the Board of Directors for ACM SIGKDD. He was a recipient of the National Science Foundation CAREER Award and the Department of Energy Early Career Principal Investigator Award. He is a Fellow of the 
IEEE, a Fellow of the ACM, and a Fellow of the AAAS 

Address:Head, Department of Computer Science , RPI