Dr. Mohamed Ibrahim A

Staff Profile
Dr. Mohamed Ibrahim A
Assistant Professor (Sr. G.)
Dr. Mohamed Ibrahim A
Assistant Professor (Sr. G.)
Department of Electrical and Electronics Engineering
Portfolio: Students Affairs Coordinator, Transport Coordinator
Areas of Interests: Power Systems, Soft Computing and IoT

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About me
Mohamed Ibrahim A received B.E. in Electrical and Electronics Engineering from Sri Krishna College of Technology (formerly VLBJCET) Coimbatore, M.E. in Power System Engineering from Government College of Technology, Coimbatore and completed the Ph.D. degree in Electrical Engineering from Anna University, Chennai respectively. His research interest is Optical Power Flow using FACTS devices and soft computing. He has published 5 research papers in various International Journals, 3 papers in International Conferences and 5 papers in National Conferences.
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Professional Information

Publication

International conference on Mechanics and Energy

Internship @ Audi Coimbatore

National Level Faculty Development Program on Smart Grid and Sustainable Energy Management in Virtual Power Plants

Fit India Freedom Run 2.0

Resource person in the AICTE Sponsored FDP

One Day Expert Talk

Green9 Best Faculty Advisor

FDP on ROPE

Workshop on Entrepreneur

Webinar on Energy Conservation

FDP on ICT

Webinar on IoT and Bigdata

FDP on Robotics and Automation

Seminar on EV

Guest Lecture on SSD

Webinar on RPA

Workshop on How Teachers Can Make a Difference by TLC, IITM

Project Evaluator in 29th National Children's Science Congress by Tamilnadu Science Forum at Forest College and Research Institute, Mettupalayam

Mathematical Optimization on 09 Jan 2022

Webinar on Motivation and Achievement on 12.02.2022

Energy Management - Applications and Research Opportunities

MATLAB Onramp

Anna Univ Sponsored FDP on Power System Analysis @ SREC, Coimbatore

B.E. Electrical and Electronics Engineering

M.E. Power Systems Engineering

SMART PAY – KPRIET CAMPUS - Campus Innovative Project

Human Activity Recognition using Spiking Neural Network

Environment Friendly Solar Powered Robotic Vehicle using Wireless Technology

Artificial Intelligence based Techniques to decide and Guide Pilot for Landing of Aircrafts