Bio:
Dr. Sriparna Saha is currently serving as an Associate Professor in the Department of Computer Science and Engineering, Indian Institute of Technology Patna, India. She has authored or co-authored more than 400 papers. Her current research interests include machine learning, deep learning, natural language processing, multiobjective optimization and biomedical information extraction. Her h5-index is 40 and the total citation count of her papers is 8333 (according to Google-scholar). She is also a senior-member of IEEE, fellow of IETE. She is the recipient of Lt Rashi Roy Memorial Gold Medal from the Indian Statistical Institute for outstanding performance in MTech (computer-science), 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, SERB Early-Career-Research-Award-2018, Pattern-Recognition-Letters-Editor-Award -2023, prestigious “Young-Faculty-Research-Fellowship” under Visvesvaraya-PhD-Scheme for Electronics-&-IT for 5 years (Jan2019-Jan2024), Fulbright-Nehru Academic and Professional Excellence Fellowships 2024, Humboldt Research Fellowship, Indo-U.S. Fellowship for Women in STEMM 2018, Erasmus+ mobility grant, DUO-India fellowship 2020 and CNRS fellowship. She has visited University of Heidelberg, Germany, University of Trento, Italy, University of Caen, France, University of Mainz, Germany, University of Kyoto, Japan, University of California San Diego, USA, Monash University, Malaysia campus, Queens University, UK, King Mongkut's Institute of Technology, Thailand, as a visiting scientist. Her research publications have been published in reputed forums like IEEE/ACM Transactions, ACL, AAAI, ACM Multimedia, NAACL, EACL, ECML, COLING, SIGIR, ECIR, ECAI and many more. She won the best paper awards in ICONIP 2023, CLINICAL-NLP workshop of COLING 2016, IEEE-INDICON 2015, ICACCI 2012 and Area-chair-award (Information Extraction) at IJCNLP-AACL 2023. She is currently also serving as the Associate Editor of IEEE Transactions on Artificial Intelligence, IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE Transactions on Computational Social Systems, ACM Transactions on Asian and Low-Resource Language Information Processing, Expert Systems with Applications, Pattern Recognition Letters, PLOS ONE, Machine Learning with Applications. She is in the editorial board of IEEE Internet Computing, Engineering Applications of Artificial Intelligence. Her name is included in the list of top 2% of scientists of their main subfield discipline (Artificial Intelligence and Image Processing), across those that have published at least five papers (a survey conducted by Stanford University) for consecutive 4 years. For more details, please visit: www.iitp.ac.in/~sriparna.
Sriparna is actively involved with ACM. She is ACMI-W Council member for a 4-year term from 1 June 2023 to 31 May 2027. She was the Academic Coordinator and Organizer of “ACM India Winter School on Recent Trends on
AI/ML for Industry 4.0” from December 18-29, 2023 at IIT Patna. She participated in several ACM India events as speakers, for example as a panellist of ``Generative AI” in ACM-India-Chapter-Summit-2023, invited speaker in ACMI-W annual event, speaker of ACM-IKDD school on Data Science, hosted at IIT Gandhinagar in 2022. She is a regular mentor of ACM-Anveshan-Setu fellowship program and mentoring several PhD students in her lab.
Available Lectures
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AI/ML Applications in Digital Health
In recent years we are working on developing several AI-based assistants to help improve the physical and mental health issues of common people of the society. In order to support telemedicine...
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MULTI-MODAL DATA INTEGRATION AND ANALYSIS FOR CANCER PROGNOSIS USING MACHINE LEARNING MODEL
Breast cancer is a concerning disease due to its high incidence and mortality. In recent decades, the incidence and mortality have continuously increased. Its early-stage detection and the...
- Multimodal Information Processing: Some recent NLP applications
Multimodal information processing deals with the efficient usage of information available in different modalities such as audio, video, text, etc. for solving various task applications of real...- Multimodal Summarization : Recent Trends and Applications
Large amounts of multi-modal information online make it difficult for users to obtain proper insights. In this talk I will first introduce the concept of multimodal summarization and its various...To request a tour with this speaker, please complete this online form.
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- Multimodal Information Processing: Some recent NLP applications