The Laboratory for Data Science and Analytics (LDSA), Department of Computer Science, South Asian University, New Delhi, India is organizing a one day symposium on the "International Symposium on 'Emerging Trends in Deep Learning and Data Analytics (ET-DLDA'23)" to be held physically at South Asian University in New Delhi, India, on June 15, 2023. This symposium aims to bring together experts from academia and industry to share ideas and discuss the techniques to harness the full potential of deep learning and data analytics techniques to make machines more intelligent. The agenda of this symposium is to discuss various data analytics and deep learning tools and techniques, recent developments and challenges in the field, and evolving future research directions.
08:30 AM - 09:30 AM : Registration and Networking
09:30 AM - 09:45 AM : Wecome Address & Overview of ET-DLDA'23
09:45 AM - 11:15 AM : Expert Talk by M. J. Zaki: Transformers and Attention
11:15 AM - 11:45 AM : Tea/Coffee Break
11:45 AM - 01:15 PM : Expert Talk by M. J. Zaki: Generative Pretraining for Text
01:15 PM - 02:15 PM : Lunch Break
02:15 PM - 03:45 PM : Expert Talk by M. J. Zaki: Autoencoders and Diffusion
03:45 PM - 04:00 PM : Tea/Coffee Break
04:00 PM - 05:00 PM : Expert Talk by M. J. Zaki: Multi-modality and Graphs
05:00 PM - 06:30 PM : Expert Talk by L. Dey: Right! Wrong! May be! - Are you sure dear LLM?
06:30 PM Onwards : Certificate Collection from the Registration Desk
Industry professionals, Faculty members, research scholars, and post graduate students from universities/ colleges/ institutes who are either working or interested in the fields of data analytics, deep learning or machine learning are eligible to apply.
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 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 around 300 publications (and 6 patents), including the Data Mining and Machine Learning textbook (2nd Edition, Cambridge University Press, 2020). He is the founding co-chair for the BIOKDD series of workshops. He is currently an associate editor for Data Mining and Knowledge Discovery, and he has also served as Area Editor for Statistical Analysis and Data Mining, and as Associate Editor for ACM Transactions on Knowledge Discovery from Data, and Social Networks and Mining. He was the program co-chair for SDM'08, SIGKDD'09, PAKDD'10, BIBM'11, CIKM'12, ICDM'12, IEEE BigData'15, and CIKM'18, and he recently co-chaired CIKM'22. 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, as well as HP Innovation Research Award, and Google Faculty Research Award. His research is supported in part by NSF, DARPA, NIH, DOE, IBM, Google, HP, and Nvidia. He is a Fellow of the IEEE, a Fellow of the ACM, and a Fellow of the AAAS.
Dr. Lipika Dey is a principal consultant and chief scientist at Tata Consultancy Services, India with over 25 years of experience in Academic and Industrial R&D. She heads the Web Intelligence and Text Mining research group at Innovation Labs. Lipika’s research interests are in the areas of content analytics from social media and news, social network analytics, predictive modeling, sentiment analysis and opinion mining, and semantic search of enterprise content. Lipika was awarded with the Distinguished Scientist award by TCS in 2012, and Fellow of Indian National Academy of Engineers in 2021. Prior to joining the industry in 2007, Lipika was a faculty member in the Department of Mathematics at Indian Institute of Technology, Delhi. Lipika has a Ph.D. in Computer Science and Engineering, M.Tech in Computer Science and Data Processing and 5 year integrated M.Sc in Mathematics from IIT Kharagpur.
Muhammad Abulaish is a Full Professor and Chairperson of the Department of Computer Science, South Asian University (SAU), New Delhi, India, with over 24 years of experience in Academics and Research. Since May 2023, he has served as the Acting Registrar of SAU. Prior to joining SAU, he served as Full Professor and Head of the Computer Science Department at Jamia Millia Islamia (A Central University), New Delhi, India. He has also led the Internet Surveillance and Forensics research group at King Saud University's Centre of Excellence in Information Assurance, Riyadh, KSA. Abulaish earned his Ph.D. degree in Computer Science from the Indian Institute of Technology Delhi in 2007. He founded the Laboratory for Data Science and Analytics (LDSA) at SAU, which serves as a central hub of data-intensive, inter-disciplinary applied research. His research focuses on the development of innovative data mining, machine learning, and network analysis techniques to address real-world societal and industrial problems, particularly for text mining, social network analysis, figurative language detection, rumor detection, sentiment and emotion analysis, health informatics, and data-driven cybersecurity. He has published over 130 research articles in international journals, books, and conference proceedings, including seven in IEEE/ACM Transactions. He is an Associate Editor for the Social Network Analysis and Mining journal. He served as a Senior Program Committee member for CIKM'22. As a member of the Program Committee, he frequently serves prestigious international conferences such as SDM, CIKM, IJCAI-ECAI, PAKDD, Web Intelligence, and BIOKDD. He has also served as Publicity Co-chair for WI'19 and WI'20, as well as Workshop Co-chair for ASONAM'20. He is also a member of the editorial board and a reviewer for numerous reputable journals. He holds senior memberships with IEEE, ACM, and CSI. In addition, he is a lifetime member of ISTE, IETE, and ISCA.