Dr. MOHAMMAD SHAHID
Galgotias College of Engineering and Technology, Jamia Millia Islamia
About
Dr. Mohammad Shahid, Ph.D. (Drones), M.Tech. (EPSM), B.Tech. (Electrical Engineering)
Dr. Mohammad Shahid is currently serving as Professor and Head of the Department of Electrical Engineering at Galgotias College of Engineering and Technology, Greater Noida. He joined the institution in April 2014 and has been actively involved in academics, research, and administration.
He received his B.Tech. (2009), M.Tech. (2012), and Ph.D. (2018) degrees from Jamia Millia Islamia, New Delhi. He has published several research papers in reputed national and international journals and conferences.
His research interests include Artificial Intelligence, Intelligent Control Systems, Autonomous Systems, Robotics, Power Systems, Drones, and Machine Learning.
He can be contacted at: [email protected], [email protected], [email protected]
Whatsapp: +91 9911126806
Employment
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Galgotias College of Engineering and Technology Professor2014 - Present
Education
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Jamia Millia Islamia Ph.D2012 - 2017
Projects & Funding
Projects & funding information is unavailable.
Publications (11)
- Design Kinematics and Speed Control of Autonomous Mobility System Using Intelligent Controller Design Strategies Save
- Support-Vector-Regression-Based Intelligent Control Strategy for DFIG Wind Turbine Systems Save
- Hybrid ANFIS-PI-Based Optimization for Improved Power Conversion in DFIG Wind Turbine Save
- Comparison of fuzzy time series, ANN and wavelet techniques for short term load forecasting Save
- Slow Heat‐Based Hybrid Simulated Annealing Algorithm in Vehicular Ad Hoc Network Save
- Modelling farm-based electric vehicles on charging systems for power distribution networks with dynamic grid interactions Save
- An Introduction to Low-Cost Portable Ventilator Design Save
- Design Kinematics and Control for a Differential Drive Mobile Robot Save
- Trajectory Tracking of Quadrotor Using LQR Controller Save
- Design and Simulation of a Hybrid PD-ANFIS Controller for Attitude Tracking Control of a Quadrotor UAV Save