Objective of the Event:
- Introduce fundamental concepts of AI and deep learning relevant to academic and research
- Demonstrate practical applications of deep learning across diverse fields, including data analysis and education.
- Equip faculty with tools and techniques for implementing AI-driven solutions in research
- To promote quality research publications & familiarise with process of IPR and patent
- Foster a collaborative environment for knowledge exchange and interdisciplinary research
To equip faculties with skills and knowledge in the field of Artificial intelligence, Machine Learning, Robotics in research. Total 47 participants from various Technical Institutes as well as faculty of Department of Information Technology, Phycology and English department of Jagan Institute of Management studies, Rohini applied for the FDP where participants were benefited by the lectures and hands on sessions.
The Faculty Development Programme (FDP) on "Application of Artificial Intelligence and Deep Learning in Research" was successfully organized by JIMS IIC from 6th to 10th January 2025. The FDP aimed to enhance faculty members' knowledge of emerging trends in AI and deep learning and equip them with technical and research-oriented skills necessary for academic and industrial applications.
The five-day program featured expert sessions by distinguished speakers who shared their valuable insights on various AI and deep learning concepts. Each day focused on a specialized topic, providing faculty members with a structured approach to understanding AI-driven solutions, machine learning algorithms, and research methodologies.
The topics covered during the FDP included:
- Day 1 & 2: Anuradha Chug (Associate Professor, USICT) introduced participants to Deep Learning, Diffusion Matrix, CNN, Adam Optimizer, and Clustering Techniques. She also discussed the functionality of Google Colab Notebook and provided insights into ministry-funded AI projects.
- Day 3: AK Mohapatra (HOD, IT, IGDTUW) delivered an insightful session on Cybersecurity, Cybercrimes, and Data Security. He highlighted techniques such as data encryption, tokenization, and key management practices essential for securing AI-based applications.
- Day 4: Rajendra (GGSIPU, East Campus) covered AI applications in Robotics, different types of robots, and their functionalities. He explained how AI enhances robotic automation and its increasing significance across industries.
- Day 5: Mithilesh Kumar Dubey (Professor, Lovely Professional University) provided a comprehensive session on Research Motivation, Paper Publication in SCI-Indexed Journals, IPR, and Copyright Laws. He guided participants on best practices for publishing
quality research papers and the importance of intellectual property protection in AI research.
Along with technical sessions, the FDP included hands-on workshops, enabling participants to explore deep learning tools, neural networks, and AI-driven research applications. The sessions also facilitated interactive discussions, encouraging knowledge exchange among faculty from diverse disciplines, including IT, psychology, management, and English.
The FDP concluded with a discussion on the future scope of AI and deep learning in academia and industry, equipping participants with practical knowledge, advanced research techniques, and strategic insights for high-impact research and innovation. The event was a resounding success, providing faculty members with valuable technical expertise and interdisciplinary research opportunities to integrate AI and deep learning into their academic pursuits.
Learning Outcomes
The Faculty Development Programme (FDP) on "Application of Artificial Intelligence and Deep Learning in Research" provided faculty members with in-depth knowledge of AI and deep learning and their transformative applications in research. Participants gained a solid foundation in deep learning techniques, AI-driven predictive modeling, and neural networks, which are crucial for advancing academic and scientific research.