Expert Talk on AI driven solution in EEE and ECE

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🌟 Expert Talk on AI-Driven Solutions in Electrical and Electronics Engineering 🌟

We are delighted to announce an inspiring expert session at SR Institute of Management & Technology, featuring Prof. Anamika Yadav, HoD, Electrical Engineering Department, NIT Raipur, M.P.


πŸ—“ Date: 7th January 2025
⏰ Time: 12:00 PM - 1:00 PM
πŸ“ Venue: Vivekanand Sabhagar (Online and Offline)

Join us as Prof. Yadav shares her expertise on leveraging Artificial Intelligence to revolutionize Electrical Engineering and Electronics & Communication Engineering.

This event is organized under the aegis of the IEEE Student Branch (SRIMT), fostering innovation and learning for the engineering community.



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  Speakers

Anamika Ma'am of NIT Raipur , MP

Topic:

AI Driven Solutions

  • Smart Grid Optimization – AI helps in predictive maintenance, demand forecasting, and efficient energy distribution in smart grids.

  • Fault Detection in Power Systems – AI-powered monitoring systems can detect and diagnose faults in transmission lines and electrical equipment in real time.

  • AI in Renewable Energy Management – AI optimizes solar and wind energy production by predicting weather conditions and adjusting energy output accordingly.

  • Industrial Automation & Robotics – AI-driven robots enhance manufacturing efficiency in electrical and electronics industries by performing complex tasks with precision.

  • AI-based Circuit Design & Simulation – AI assists in designing optimized electronic circuits, reducing errors, and improving performance through machine learning algorithms.

  • Predictive Maintenance of Electrical Equipment – AI predicts failures in transformers, motors, and generators, reducing downtime and maintenance costs.

  • Smart Home Automation – AI-driven IoT solutions enable automated control of lighting, appliances, and security systems, improving energy efficiency.

  • AI in Electric Vehicles (EVs) – AI enhances battery management, autonomous driving, and energy optimization in electric vehicles.

  • Medical Electronics & Wearable Tech – AI powers smart medical devices like ECG monitors and biosensors for real-time health monitoring.

  • AI in Communication Systems – AI improves wireless communication, signal processing, and error correction techniques for better network efficiency.





Agenda

The session was an insightful exploration of AI-driven innovations and their transformative impact on Electrical Engineering and Electronics & Communication Engineering.

We extend our heartfelt gratitude to our HoD, Prof. Beer Singh for his encouraging closing remarks, and to our Student Branch Counselor, Dr. Khadim Moin Siddiqui, Senior Member IEEE, for the warm welcome address and for providing us with this incredible opportunity.



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