FDP Announcement – AI in Genomics and Drug Discovery by IIIT Raichur & ATAL Academy
04 Aug 2025
FDP Announcement: AI in Genomics and Drug Discovery
IIIT Raichur, in collaboration with the AICTE Training and Learning (ATAL) Academy, is hosting a six-day online Faculty Development Programme (FDP) titled “Advanced Computational Methods in Genomics and Drug Discovery: Bridging AI and Biomedical Science.” This program is a unique opportunity for faculty members, researchers, and professionals to explore the intersection of artificial intelligence, biology, and medicine.
Key Details: * Dates: September 8–13, 2025
- Time: 6:00 PM – 9:00 PM IST
- Mode: Online
- Registration Fee: None
About the Programme
This FDP is designed to provide a deep understanding of how AI is transforming biomedical science. The sessions will cover foundational principles and advanced computational techniques relevant to:
- Genomic sequence modeling and bio-molecular network analysis.
- AI-driven drug discovery and drug repurposing.
- Deep learning applications in medical imaging.
- The use of Large Language Models (LLMs) in bioinformatics.
- Explainable AI (XAI) in clinical and healthcare settings.
- Translational bioinformatics and multi-omics data integration.
Esteemed Speakers
The programme features sessions led by leading researchers and practitioners:
- Prof. P. Krishna Reddy, IIIT Hyderabad
- Prof. Subhadip Basu, Jadavpur University
- Dr. Chandra Shekhar V, Samsung R&D
- Dr. Srinivas Reddy Annapally, GenZ Technologies
- Dr. Kaushiki Roy, Czech Technical University, Prague
- Dr. U. Srinivasulu Reddy, NIT Tiruchirappalli
- Dr. Santhosh Amilpur, IIIT Sri City
- Dr. Naresh Babu Muppalaneni, IIITDM Kurnool
- Dr. Dheeraj Kodati, Apollo Computing Laboratories
- Dr. Kaustav Sengupta, Warsaw University of Technology
Programme Coordination
For more information, please contact the programme coordinators at IIIT Raichur:
Important Links
- Note: A participation certificate will be provided to all attendees.
#IIITRaichur #FDP2025 #ATALAcademy #Genomics #DrugDiscovery #ArtificialIntelligence #Bioinformatics #MedicalAI #HigherEducation #AIinHealthcare #TranslationalBioinformatics