Submissions deadline: May 15, 2025, 23:59 (IST)
The BDA 2025 Organizing Committee invites proposals for half-day and full-day tutorials on established and emerging topics in Big Data, Artificial Intelligence, Generative AI, Responsible AI, AI Risk & Safety, Federated Learning, and related areas. Each proposal should specify the subject matter, a detailed outline of the major topics covered, the goals of the tutorial, and the intended audience.
Instructions for submission: A submission should include the following details: Title of the tutorial, Presenters (Name, Affiliation, and Brief Bio), Abstract with a maximum limit of 400 words, Duration (half day/ full day), Target audience, and how the intended target audience would benefit from the tutorial. The submissions can be submitted in a Word or PDF format.
The submissions can be sent by e-mail to the tutorial chairs [email protected], [email protected], and [email protected]
Tutorial Submission Guidelines
We invite high-quality tutorial proposals that align with the themes of Big Data, Artificial Intelligence, and related domains.
Each proposal must include the following information:
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Title of the Tutorial
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Presenters: Full name, affiliation, and a brief professional biography
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Abstract: A summary of the tutorial content (maximum 400 words)
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Duration: Specify whether the tutorial is planned as a half-day or full-day session
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Target Audience: Describe the intended audience and how they will benefit from attending the tutorial
Submission Format:
Proposals should be submitted in Word or PDF format.
Submission Email:
Send your proposals via email to all three Tutorial Chairs:
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Dr. Sudarsun Santhiappan – [email protected]
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Dr. Sowmya S Sundaram – [email protected]
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Dr. Mauro Dalle Lucca Tosi – [email protected]
- Proposal Submission Due: May 15, 2025
- Acceptance Notification: Jun 10, 2025
- For any queries and clarifications regarding the tutorial, please send an email to the tutorial chairs [email protected] [email protected] [email protected]
(All deadlines are at 23:59 Indian Standard Time [IST])
- Sudarsun Santhiappan, Scientist, Wadhwani School of Data Science and AI, IIT Madras, India
- Sowmya S Sundaram, Post Doc, Stanford School of Medicine Palo Alto, USA
- Mauro Dalle Lucca Tosi, R&T Scientist, LIST, Luxembourg, Europe
