ATAL FDP on “Deep Learning for Vision and Language”
The Department of Computer Science and Engineering and the InterMedia Research Group are organizing a 6-day Faculty Development Programme (FDP) from December 9 – 14, 2024 in online mode. The FDP aims to disseminate knowledge on advanced topics in Deep Learning in the domain of Computer Vision and Natural Language Processing. It will empower the participants with the understanding of the latest concepts and their applications in research and industry. Academicians from renowned IITs/IIITs will be delivering expert talks in the programme. Speakers from industries will showcase the state-of-the-art currently being employed in the real world. A basic understanding of Deep Learning concepts is desirable.
Coordinator: Dr. Preety Singh
Co-Coordinator: Dr. Nikunja Bihari Kar
The following topics will be covered:
- Generative Adversarial Networks
- Attention-based Classifiers
- Model-based Deep Learning
- Large Language Models
- Retrieval Augmented Generation
- State Space Models with Transformers
- 3D Face Reconstruction
- Biomedical Image Applications
- Neuro-symbolic AI
- DNN for Low Power Devices
- Graph Neural Networks
Resource persons from academia and industry will take expert sessions.
Academia
- Amit Sheth, University of South Carolina, USA
- Nishant Sastry, University of Surrey, UK
- Sumantra Dutta Roy, IIT Delhi
- Ram Bilas Pachori, IIT Indore
- AV Subramanyam, IIIT Delhi
- Preety Singh, LNMIIT, jaipur
- Abhishek Sharma, LNMIIT, Jaipur
Industry
- Debayan Deb, LENS Corporation
- Hemant Kumar Aggarwal, GE Healthcare
- Amit Oberoi, Carnot Research Pvt Ltd
- Badri Narayan Patro, Microsoft
- Satyajit Nayak, Valeo
- Saneem Ahmed Chemmengath, Celebal Technologies
- Sreekanth Tadakaluru, Freshworks
Eligibility
Faculty members, Research Scholars, PG Scholars from AICTE-approved institutions, and Industry
Professionals are encouraged to apply.
How to Apply?
- Visit the ATAL Academy Portal.
- Log in or register if you’re a new user.
- Go to the “FDP” tab.
- Filter by:
- Type: ATAL
- Month: December
- Thrust Area: Engineering
- Mode: Online
- Press Ctrl + F and search using Application Number: 1730868871.
- Click ‘+’ to apply.