Charting New Territories: Multimodal Information Processing in NLP through Deep Learning and Language Modeling

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-- Artificial Intelligence, Multimodal summarization, multilingual processing, and more ...--


  Synopsis:

 Multimodal information processing involves utilizing data from diverse sources such as images, videos, and text to improve real-world applications. This presentation will explore how extracting insights from multiple modalities can enhance tasks like summarization, hate speech detection, complaint mining, and medical question summarization. Combining data from videos, images, and texts can create more comprehensive summaries. The speaker will discuss their recent works in multimodal summarization, focusing on areas like comment-aware multimodal summarization, multilingual approaches, and medical question summarization. The talk will also cover the datasets and methods developed to address these challenges in detail.


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  • Date: 05 Feb 2025
  • Time: 06:45 PM to 08:30 PM
  • All times are (GMT-08:00) US/Pacific
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  • Starts 14 January 2025 12:00 AM
  • Ends 05 February 2025 12:00 AM
  • All times are (GMT-08:00) US/Pacific
  • No Admission Charge


  Speakers

Dr. Vishnu S. Pendyala of San Jose State University

Topic:

Moderator

Biography:

Vishnu S. Pendyala, PhD is a faculty member in Applied Data Science and an Academic Senator with San Jose State University, current chair of the IEEE Computer Society Santa Clara Valley Chapter, and IEEE Computer Society Distinguished Contributor. During his recent 3-year term as an ACM Distinguished Speaker and before that as a researcher and industry expert, he gave  numerous (70+) talks in various forums such as faculty development programs, the 12th IEEE GHTC h5-index:14, h5-median:19, IEEE ANTS h5-index:15 h5-median:19, 11th and 12th IACC H5-Index: 606, H10-Index: 305, 10th ICMC H5-index: 10h5-median: 15, IUCEE, to audiences at venues such as Stanford University, University of Bolton, Universidad de Ingeniería y Tecnología, Lima, Peru, IIIT Hyderabad, KREA, IIT Indore, IIIT Bhubaneswar. Some of these talks are available on YouTube and IEEE.tv. He is a senior member of the IEEE and has over two decades of experience in the software industry in the Silicon Valley, USA. His book, “Veracity of Big Data,” is available in several libraries, including those of MIT, Stanford, CMU, the US Congress and internationally. Two other books on machine learning and software development that he edited are also well-received and found a place in the US Library of Congress and other reputed libraries. Dr. Pendyala taught a one-week course sponsored by the Ministry of Human Resource Development (MHRD), Government of India, under the GIAN program in 2017 to Computer Science faculty from all over the country and delivered the keynote in a similar program sponsored by AICTE, Government of India in 2022. Dr. Pendyala recently served on the US government's National Science Foundation (NSF) proposal review panel. He received the Ramanujan Memorial gold medal and a shield for his college at the State Math Olympiad.

Address:One Washington Sq, San Jose State University, San Jose, United States, 95192-0250

Dr. Sriparna Saha

Topic:

Charting New Territories: Multimodal Information Processing in NLP through Deep Learning and Language Modeling

Biography:

Dr. Sriparna Saha is currently serving as an Associate Professor in the Department of Computer Science and Engineering, Indian Institute of Technology Patna, India. Her current research interests include machine learning, deep learning, natural language processing, and multiobjective optimization. Her h-index is 45 and the total citation count of her papers is 10616 (according to Google Scholar). She is a senior member of IEEE, a fellow of IET, UK; 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, INSA Young Associate 2025, 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.  For more details, please visit: www.iitp.ac.in/~sriparna.