Ujjwal Maulik
| Grant Category: | Fulbright-Nehru Academic & Professional Excellence Award (Research) |
| Project Title: | Exploring Chromatin Accessibility Patterns: AI-driven Analysis of NicE-seq Imaging Data |
| Field of Study: | Computer Science |
| Home Institution: | Jadavpur University, Kolkata, West Bengal |
| Host Institution: | New England Biolabs , Ipswich, MA |
| Grant Start Month: | April 2025 |
| Duration of Grant: | Four months |
Brief Bio:
Prof. Ujjwal Maulik is a full Professor in the Department of Computer Science and Engineering, Jadavpur University since 2004. He was also the former head of the same department. He has worked in many universities and research laboratories in Australia, China, France, Germany, Hungary, Italy, Slovenia and U.S. and also delivered lectures in many more countries. He is the Fellow of India (INAE), India, National Academy of Science India (NASI), International Association for Pattern Recognition (IAPR), US, The Institute of Electrical and Electronics Engineers (IEEE), U.S., Asia-Pacific Artificial Intelligence Association (AAIA), Singapore and Distinguish Member of the Association for Computing Machinery (ACM). He is a Distinguish Speaker of IEEE as well as ACM. His research interests include machine learning, pattern analysis, data science, bioinformatics and computational biology, multi-objective optimization, social networking, IoT and autonomous car. In these areas he has published ten books, more than three hundred fifty papers, mentored several start-ups, filed several patents and already guided twenty five doctoral students. His other interests include outdoor sports and classical music.
During his tenure as Fulbright-Nehru Academic and Professional Excellence Fellowship Prof. Maulik is working for the better understanding of newly developed NicE-seq technology for chromatin accessibility through the application of artificial intelligence (AI) methods. This research has the potential to uncover novel regulatory mechanisms and advance our understanding of the functional genomics landscape. The AI-driven approaches can expedite and enhance chromatin accessibility studies, leading to advancements in various fields, including gene regulation, disease mechanisms, and therapeutic development.