Field of Study India: Computer Science

Sriparna Saha

Dr. Sriparna Saha is currently serving as an Associate Professor in the Department of Computer Science and Engineering, IIT Patna, India. She has authored or co-authored more than 400 papers. Her current research interests include machine-learning, deep-learning, natural-language-processing, and biomedical-information-extraction. She is the recipient of Google-India-Women-in-Engineering-Award-2008, NASI-Young-Scientist-Platinum-Jubilee-Award-2016, BIRD Award-2016, IEI-Young-Engineers’-Award-2016, SERB-Women-in-Excellence-Award-2018, Pattern-Recognition-Letters-Editor-Award-2023, prestigious “Young-Faculty-Research-Fellowship” under Visvesvaraya-PhD-Scheme for Electronics-&-IT for-5-years (Jan 2019-Jan 2024), Humboldt-Research-Fellowship, Indo-U.S.-Fellowship-for-Women-in-STEMM-2018. She won the best paper awards in ICONIP 2023, CLINICAL-NLP workshop of COLING 2016, and Area-chair-award (Information Extraction) at IJCNLP-AACL 2023.

With her Fulbright fellowship, at University of South Carolina, Sriparna is working towards developing some unified large language models (LLM) for low-resource settings. In general, it has been shown in the recent literature that the existing LLMs are not performing well for low resource Indian languages like Bengali. This disparity raises concerns about the fairness of LLMs, as it may lead to biased outcomes and unequal access to information and resources for speakers of low-resource languages. In this project Sriparna aims to develop some LLMs for low-resource language setting by developing a scalable training approach using reinforcement learning from human feedback.

Ujjwal Maulik

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.