ABV-IIITM Gwalior: Atal Bihari Vajpayee Indian Institute of Information Technology and Management, Gwalior is an Institute of National Importance established by the Ministry of Education, Government of India. The Department of Computer Science and Engineering is organizing this high-impact online Faculty Development Programme.

Programme Overview: This FDP provides an in-depth overview of emerging technologies in Intelligent IoT and the Computing Continuum. With a core emphasis on Matching Theory, Machine Learning, Generative AI, Predictive Analytics, and Trustworthy AI, the course combines foundational concepts, state-of-the-art research advancements, practical applications, and hands-on sessions. It aims to equip participants with the skills needed to design, build, and evaluate intelligent, highly efficient, and trustworthy computing and IoT systems.

• Programme Type: Online Faculty Development Programme (FDP)
• Organizing Department: Department of Computer Science and Engineering
• Host Institution: ABV-Indian Institute of Information Technology and Management, Gwalior
• Event Mode: 100% Online Sessions
• Key Highlights: Expert talks by faculty from IITs, IIITs, NITs, and industry leaders; practical exposure; E-certificate awarded upon completion; access to lecture slides.

The program is tailored for academic professionals, researchers, and technical enthusiasts seeking exposure to advanced IoT and computing continuum paradigms:

• Faculty members from colleges, universities, technical institutions, and professional organizations.
• Students (Undergraduate, Postgraduate, and Ph.D. scholars).
• Fresh graduates, researchers, and industry professionals working in allied technical disciplines.

Core Technical Topics Covered:

• Intelligent IoT and Computing Continuum: Fundamentals, underlying architectures, and emerging application domains.
• Matching Theory for Task Offloading: Efficient task offloading techniques, resource allocation, and service mapping in IoT–Fog environments.
• Machine Learning for Intelligent Systems: Lightweight ML algorithms for intelligent edge decision-making and real-time anomaly detection.
• Predictive Analytics for Smart IoT Systems: Workload forecasting, proactive system management, and resource demand estimation.
• Generative AI & Large Language Models: Emerging generative intelligence frameworks for next-generation computing systems.
• Trustworthy & Explainable AI: Principles and methodologies for building transparent, fair, responsible, and explainable AI solutions.

Hands-on Computational Exercises:

• Basic Computing Setup & Configuration
• Task Offloading Simulation in Edge/Fog Systems
• Matching Theory Implementation
• Machine Learning Model Development for IoT
• IoT Data Analysis and Visualization
• Predictive Analytics using Python
• Explainable AI Demonstration
• AI-Based Resource Optimization

Bank Account Details for Online Fee Transfer:

• Account Name: Director, ABV-IIITM, Gwalior
• Account Number: 945210110009380
• Name of Bank: Bank of India
• IFSC Code: BKID0009462
• Bank Address & Branch: IIITM Branch, Gwalior
• UPI ID: boim-945263969380@boi

For any queries regarding registration, payment confirmation, or session schedules, feel free to contact the course coordinators:

• Dr. Chittaranjan Swain: Email: cswain@iiitm.ac.in | Contact: +91 79786 55029
• Dr. Vivek Tiwari: Email: vivektiwari@iiitm.ac.in | Contact: +91 96302 46099
• Dr. Deepak Kumar Dewangan: Email: deepakd@iiitm.ac.in | Contact: +91 96697 34590