8744052891-93Date: 8th – 13th September, 2025
Department of Computer Science & Engineering and Department of Information Technology at AKGEC successfully organized offline 6-day AICTE-sponsored ATAL Faculty Development Programme (FDP) on “Generative AI for Holistic Healthcare: Smart Analytics for Humans and Crops.” The program brought together reputed experts from academia, research organizations, and industry to explore cutting-edge applications of Artificial Intelligence in healthcare and agriculture.
The FDP covered impactful sessions on Machine Learning, Deep Learning, Reinforcement Learning, Federated AI, Computational Biology, AI-enabled Security, Robotic Process Automation, and Clinical Decision Support Systems, enabling participants to understand emerging AI-driven innovations. A notable highlight was the industrial visit to the National Institute of Immunology (NII), New Delhi, where participants gained practical exposure to advanced immunology and AI-assisted research.
The valedictory session, graced by distinguished speakers from DRDO and IGDTUW, emphasized the transformative role of Generative AI in early diagnosis, precision medicine, and sustainable agricultural practices.
A heartfelt appreciation to the FDP Conveners, Coordinators, Resource Persons, and the dedicated Organizing Committees for ensuring the seamless and impactful execution of the programme. With enthusiastic participation from faculty members across institutions, the FDP proved to be a great success, strengthening AKGEC’s commitment to promoting research, innovation, and societal advancement through next-generation AI technologies.
The schedule and speakers of the FDP is as follows:
|
Day / Date |
9:00–11:30 AM |
11:30 AM–12:30 PM |
12:30–1:15 PM |
1:15–3: 45PM |
3:45PM- 4:45 PM |
|
Day 1 – 08.09.2025 |
Inauguration, Session 1: Generative AI for Holistic Healthcare (JS) |
Article Discussion |
LUNCH |
Session 2: Data Synthesis & Augmentation for AI Models in Healthcare & Agriculture (KR) |
Hands on Session: Generating Synthetic Data for Smart Agriculture & Healthcare |
|
Day 2 – 09.09.2025 |
Session 3: Predictive Modelling for Disease Forecasting in Humans & Crops (DKS) |
Article Discussion |
LUNCH |
Session 4: Reinforcement Learning in Healthcare: Intelligent Decision-Making for a Smarter, Safer Future (AT) |
Hands-on: AI-based Risk Prediction Models for Crops & Patient Care |
|
Day 3 – 10.09.2025 |
Session 5: Federated Learning and Data Privacy in Healthcare AI (VS) |
Article Discussion |
LUNCH |
Session 6: AI-driven Automation in Healthcare Workflows (PK) |
Hands-on: Developing AI-driven Chatbots for Healthcare |
|
Day 4 – 11.09.2025 |
Session 7: AI enable security in Healthcare systems (KS) |
Article Discussion |
LUNCH |
Session 8: AI-powered Intelligent Clinical Decision Support Systems (CDSS) (AJ) |
Hands-on: Secure AI Model Training |
|
Day 5 – 12.09.2025 |
Industrial Visit (8:30–12:30): |
LUNCH |
Session 9: Industry Perspectives on AI in Smart Healthcare & Agriculture (AJ) |
Hands-on: AI-driven Drug Discovery Models |
|
|
Day 6 – 13.09.2025 |
Session 10 Role of XAI Tecniques in Crop Yield Prediction for enhancing sustainability (NS) |
Article Discussion |
LUNCH |
MCQ, Reflection Journal & Valedictory |
|
Resource Persons
JS: Dr. Jasvinder Singh, Associate Professor, ILBS, Delhi
KR: Dr. Kumar Rajamani, Associate Director, Cropin Technology Private Ltd
DKS: Dr. Dushyant Kumar Singh, Associate Professor, MNNIT, Prayagraj, Allahabad
AT: Dr. Abhinav Tomar, Assistant Professor, NSUT, Delhi
VS: Dr. Vandana Sharma, Associate Professor, Christ University, Delhi-NCR
PK: Dr. Pankaj Khurana, Scientist, DIPAS, DRDO
KS: Dr. Karan Singh, Assistant Professor, JNU, Delhi
AJ: Ankit Jauhari, Senior Researcher, Erisson Research Labs, Bengaluru
NS: Dr.Nonita Sharma, Associate Professor, IGDTUW, Delhi