Gentle reminder!!!
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Regards,
Dushyant Singh Chauhan
Ph.D. Scholar,
Department of CSE,
AI-NLP-MLhttps://www.iitp.ac.in/~ai-nlp-ml/ Lab, IIT Patna, India
Google Scholarhttps://scholar.google.co.in/citations?user=Gs8MoW4AAAAJ&hl=en, LinkedInhttps://www.linkedin.com/in/dushyant-singh-chauhan-886688127/, GitHubhttps://github.com/GussailRaat, Twitterhttps://twitter.com/GussailRaat
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________________________________ From: Dushyant Chauhan via Corpora corpora@list.elra.info Sent: Thursday, December 5, 2024 9:12 PM To: corpora@list.elra.info corpora@list.elra.info Subject: [Corpora-List] Invitation for Research Collaboration in Multimodal and Explainable AI
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Hello everyone,
I am Dushyant Singh Chauhan, a PhD graduate from the Indian Institute of Technology (IIT) Patna, India, where I conducted my research under the guidance of Prof. Asif Ekbal (IIT Jodhpur) and Prof. Pushpak Bhattacharyya (IIT Bombay).
Dr. Dushyant Singh Chauhan --> https://scholar.google.co.in/citations?user=Gs8MoW4AAAAJ&hl=en Prof. Asif Ekbal --> https://ekbalasif.github.io/ Prof. Pushpak Bhattacharyya --> https://www.cse.iitb.ac.in/~pb/
Prof. Asif Ekbal and I are looking for research collaborators in the following areas:
- [Multimodal Causal Reasoning] refers to how AI systems can infer cause-and-effect relationships across multiple data modalities to enhance decision-making and reasoning capabilities. - [Missing Modalities] refer to scenarios where certain data modalities are absent or incomplete, aiming to ensure robust performance and adaptability despite missing information. - [Topic Switching] refers to how AI systems manage abrupt shifts in topics or contexts, ensuring smooth and coherent transitions during conversation. - [Multimodal Question-Answering] refers to AI systems integrating multiple data modalities to provide accurate, context-aware answers. - [Video Summarization] refers to condensing long videos into shorter summaries while preserving key information and context for easier understanding. - [Interpretability and Explainability] refer to ensuring that AI systems are not only understandable in terms of their internal workings (interpretability) but also provide clear human understandable justifications for their decisions (explainability). - And similar research areas of your interest.
If you are interested in collaborating on these topics with the ultimate goal of publishing impactful research, we would be delighted to hear from you. Additionally, we welcome discussions about your research interests and are open to exploring ideas in alignment with your expertise.
To express your interest and reach out for collaboration, please fill out this form at https://forms.gle/fM7xsXgHTxjiuGLV6.
Please note that this is not a paid collaboration but rather a shared academic effort aimed at advancing research in these exciting fields and contributing to high-quality publications.
Looking forward to your response.
+++++++++++++++++++++++++++++++++++ Regards,
Dushyant Singh Chauhan Ph.D. Scholar, Department of CSE, AI-NLP-ML Lab, IIT Patna, India +++++++++++++++++++++++++++++++++++ _______________________________________________ Corpora mailing list -- corpora@list.elra.info https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ To unsubscribe send an email to corpora-leave@list.elra.info