Abstract: In this lecture, first we will discuss the current trends and challenges in Artificial Intelligence (AI) and Machine Learning (ML). In addition to the fundamentals of ML, we will demonstrate the importance of using Deep Learning (DL), Graph neural network (GNN) and explainable AI. While DL has used very successfully for image analysis, GNN is used for unstructured datasets including biological datasets available in the form of graphs containing the interaction between genes, drugs, diseases etc.

AI is used in healthcare with the goal for betterment in therapeutic as well as early diagnosis of diseases. Generally, the same therapy is used for patients having similar diseases. However, based on the biological conditions of a patient, use of specific therapy is the key in precision medicine. In the second part of the lecture, we will discuss how DL, GNN and Large Language Model (LLM) techniques can be exploit for developing improved healthcare systems including few we are using in the start-ups started from our research labs. Finally, we will also discuss how Data Science and AL together is changing the research and development road map along with the challenges and opportunity.

Bio: Dr. Ujjwal Maulik is a Professor in the Dept. of Comp. Sc. and Engg., Jadavpur University since 2004. He was also the former Head of the same Department. Dr. Maulik has worked in many universities and research laboratories around the world as visiting Professor/Scientist. These include Los Alamos National Lab, USA, Univ. of New South Wales, Australia, Univ. of Texas at Arlington, USA, Univ. of Maryland at Baltimore County, USA, Fraunhofer Institute for Autonome Intelligent Systems, St. Augustin, Germany, Tsinghua Univ., China, Sapienza Univ., Rome, Italy, Univ. of Heidelberg, Germany, German Cancer Research Center (DKFZ), Germany, Grenoble INP, France, University of Warsaw, Poland, University of Padova, Italy, Corvinus University, Budapest, Hungary, University of Ljubljana, Slovenia, International Center for Theoretical Physics (ICTP), Trieste, Italy. He is the recipient of Alexander von Humboldt Fellowship during 2010, 2011 and 2012 and Senior Associate of ICTP, Italy during 2012-2018 and Fulbright Fellowship in 2024-2025.

He is the Fellow of Indian National Academy of Engineers (INAE), India, National Academy of Science India (NASI), International Association for Pattern Recognition (IAPR), USA, The Institute of Electrical and Electronics Engineers (IEEE), USA and Asia-Pacific Artificial Intelligence Association (AAIA), Hongkong. He is also the Distinguish Member of the ACM. He is a Distinguish Speaker of IEEE as well as ACM. His research interest include Machine Learning, Pattern Analysis, Data Science, Bioinformatics, Multi-objective Optimization, Social Networking, IoT and Autonomous Car. In these areas, he has published ten books, more than 400 papers, mentoring several start-ups, filed several patents and already guided 26 doctoral students. His other interest include mentoring young students, traveling extensively around the globe, outdoor Sports and Music.