AI REVOLUTION IN EMERGING TECHNOLOGIES
One-week online
Faculty Development Programme (FDP)
Organised by
Department of Electronics and Communication Engineering
SRM Institute of Science and Technology
Ramapuram Campus
From 2nd June 2025 to 7th June 2025
No Registration Fee
Registration Link : https://forms.gle/MLYRu7qvYuLBjyEQ9
QR Code for Registration :
Join Zoom Meeting :
https://us06web.zoom.us/j/86882280218?pwd=NLZenEasQTjQ15Qaov3Ufx0RVTfk9f.1
Meeting ID: 868 8228 0218
Passcode: 501958
Convenor
Dr.N.V.S. Sree Rathna Lakshmi (HoD/ECE)
Co-Convenor
Dr.R.Vani (Professor)
Dr.V. Megala(Associate Professor)
Dr.K. Kavitha Devi (Assistant Professor)
Dr.A. Mohanbabu (Assistant Professor)
Inauguration
Day1
2.6.2025
The Faculty Development Program commenced with the soulful invocation of Tamil Thai Vazhthu, setting a reverent tone. Dr.N.V.S. Sree Rathna Lakshmi (HoD/ECE) extended a heartfelt welcome, emphasizing the transformative impact of AI and its wide-ranging applications. 177 participants were present
Dr.S.Poornima, M S Ramaiah Institute of Technology, Bengaluru, Karnataka the esteemed chief guest, addressed the participants, emphasizing AI’s profound role in daily life. She highlighted how AI seamlessly integrates into everyone’s experiences and urged engineering professors to cultivate a passion for innovation, inspiring them to develop at least one AI model.
The Resource person of the programme Dr. Chayadevi, Department of Information Technology, Vasavi College of Engineering, Hyderabad expertise in Artificial Intelligence and its real-world implementations delivered a session on ‘Introduction to AI and its Applications in Agriculture’.
Summary of the Session:
Artificial Intelligence (AI) is transforming agriculture by improving efficiency, sustainability, and productivity. Here are some key applications:
- Precision Farming: AI-powered sensors and drones monitor soil health, crop growth, and pest infestations, enabling farmrs to make data-driven decisions.
- Automated Irrigation: AI optimizes water usage by analyzing weather patterns and soil moisture levels, reducing waste and improving yield.
- Pest & Disease Detection: Machine learning models identify early signs of crop diseases and pest infestations, allowing timely intervention.
- Smart Harvesting: AI-driven robots automate harvesting, ensuring efficiency and reducing labor dependency.
- Livestock Monitoring: AI tracks animal health and behavior, improving welfare and productivity.
Day2
3.6.2025Dr.Kavitha J C, School of Computer Science and Engineering, Vellore Institute of Technology, Chennai presented “Application of Aritificial Intelligence in Image Processing”
Summary of the Session:
AI is revolutionizing image processing by enabling computers to analyze, enhance, and generate images with remarkable accuracy. Here are some key applications:
- Object Recognition: AI can identify and classify objects in images, used in security systems, medical imaging, and autonomous vehicles.
- Facial Recognition: AI-powered models detect and verify human faces, widely used in authentication and surveillance.
- Image Enhancement: AI improves image quality by reducing noise, adjusting contrast, and sharpening details.
- Segmentation: AI divides images into meaningful sections, aiding in medical diagnostics and satellite imagery analysis.
- Image Generation: AI creates realistic images, including deepfake technology and artistic renderings.
Day3
4.6.25
Dr.S.Poornima, M S Ramaiah Institute of Technology, Bengaluru,Karnataka explained about “AI applications in Power Systems”. She conducted a quiz on www.menti.com. Participants gave overwhelming response.
Summary of the Session:
Artificial Intelligence (AI) is revolutionizing power systems by enhancing efficiency, reliability, and sustainability. Here are some key applications:
- Predictive Maintenance: AI-driven models analyze historical data to predict equipment failures, reducing downtime and maintenance costs.
- Grid Optimization: AI helps balance supply and demand, improving energy distribution and minimizing losses.
- Fault Detection & Protection: Machine learning algorithms detect anomalies in real-time, preventing outages and ensuring system stability.
- Renewable Energy Integration: AI optimizes the integration of solar and wind power by forecasting generation and managing grid fluctuations.
- Energy Management: Smart grids use AI to optimize energy consumption, reducing costs for consumers and utilities.
Day4
5.6.25
Dr.Shyamala S, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai delivered lecture on “AI assisted RLT to GDSII Flow”.
Summary of the Session:
AI-assisted RTL to GDSII flow is transforming chip design by optimizing the entire process from Register Transfer Level (RTL) coding to final layout (GDSII). AI enhances various stages, including:
- Design Space Exploration: AI-driven tools like Synopsys DSO.ai optimize power, performance, and area (PPA) by intelligently navigating design choices.
- Automated RTL Synthesis: AI improves synthesis efficiency, ensuring better logic optimization and reducing design iterations.
- Placement & Routing Optimization: AI algorithms enhance floorplanning, placement, and routing, leading to faster convergence and improved timing closure.
- Signoff & Verification: AI accelerates equivalency checking, timing analysis, and power optimization, ensuring robust final designs.
Day 5
6.6.25
Dr.Malaya KumarNath, National Institute of Science and Technology, Puducherry, Karaikal presented on “XAI for ECG Analysis”.
Summary of the Session:
Explainable AI (XAI) is enhancing ECG analysis by making AI-driven diagnostics more transparent and interpretable. Some key advancements include:
- FactorECG: A model that compresses ECG signals into 21 interpretable factors, enabling explainable diagnosis and prediction.
- CausalCNN & DoubleResidual Architectures: AI models optimized for ECG interpretation, improving accuracy while maintaining interpretability.
- XAI Framework for Cardiovascular Disease Prediction: Uses ensemble classifiers like SVM, AdaBoost, and logistic regression to predict heart disease with high accuracy.
Day 6
7.6.25
Dr.Usha K, SSN College of Engineering, Chennai presented “Finite Element Analysis and Optimisation of Electrical System”.
Summary of the Session:
AI is revolutionizing power systems by enhancing efficiency, reliability, and sustainability. Some key applications include:
- Predictive Maintenance: AI-driven models analyze historical data to predict equipment failures, reducing downtime and maintenance costs.
- Grid Optimization: AI helps balance supply and demand, improving energy distribution and minimizing losses.
- Fault Detection & Protection: Machine learning algorithms detect anomalies in real-time, preventing outages and ensuring system stability.
- Renewable Energy Integration: AI optimizes the integration of solar and wind power by forecasting generation and managing grid fluctuations.
- Energy Management: Smart grids use AI to optimize energy consumption, reducing costs for consumers and utilities.
