Muzammil Ahmed
Pricing & Availability
799
Personal and Professional Details
I am currently pursuing my PhD in Power Electronics at the Indian Institute of Technology Guwahati, where my research integrates predictive maintenance, condition monitoring, and real-time digital modeling of power electronic systems. My focus is on developing Digital Twin frameworks for railway traction systems to enhance diagnostics, prediction, and optimization of power performance. Before this, I completed my M.Tech in Power System Engineering from IIT Bhubaneswar and B.Tech in Electrical Engineering from Tezpur University. My work has explored Model Predictive Control (MPC), AI-based fault detection, embedded implementation using TI’s F28379D DSP, and renewable energy integration. I’ve authored several papers in reputed IEEE, Springer, and Elsevier journals and conferences and also serve as a reviewer for top journals like IEEE Transactions on Power Electronics and Control Engineering Practice. My academic journey has been driven by a single goal — to bridge the gap between theoretical control design and practical implementation, contributing to the development of intelligent and sustainable power systems.
Muzammil
Ahmed
muzammil024
Engineering
PhD/Research Scholar
Power Electronics
PhD(pursuing), M. Tech, B. Tech
English, Hindi, Assamese, Bengali
GATE, JEE MAINS, JEE ADVANCED
Experience
Power Electronics, Magnetic Design, MATLAB/Simulink, Python, Model Predictive Control (MPC), AI-Based Control, Embedded Systems (TI F28379D), Real-Time Simulation, Typhoon HIL, Digital Twin, Renewable Energy Systems, Technical Mentoring
With 4 years of combined academic and research experience spanning Power Electronics, Magnetic Design, MATLAB/Simulink, Python, Model Predictive Control (MPC), AI-Based Control, Embedded Systems (TI F28379D), Real-Time Simulation, Typhoon HIL, Digital Twin development, and Renewable Energy Systems, I focus on bridging advanced control theory with real-time hardware implementation while actively contributing through technical mentoring and applied research.
Indian Institute of Technology Guwahati
PhD Scholar
Social and Mentorship
Behind the scenes, power electronics and control research is far less “perfect” than it looks in papers — simulations behave beautifully, but real hardware introduces delays, noise, parasitics, switching non-idealities, and tight real-time constraints that quickly expose weak assumptions. Advanced controllers like MPC aren’t just about elegant math; they must execute within microseconds on embedded platforms, and debugging often takes far longer than designing. Most of the real learning happens in fixing instability, unexpected ripple, timing mismatches, and hardware-software integration issues — the struggle that never shows up in published plots but builds true engineering depth.
Pricing & Availability
799
Personal and Professional Details
I am currently pursuing my PhD in Power Electronics at the Indian Institute of Technology Guwahati, where my research integrates predictive maintenance, condition monitoring, and real-time digital modeling of power electronic systems. My focus is on developing Digital Twin frameworks for railway traction systems to enhance diagnostics, prediction, and optimization of power performance. Before this, I completed my M.Tech in Power System Engineering from IIT Bhubaneswar and B.Tech in Electrical Engineering from Tezpur University. My work has explored Model Predictive Control (MPC), AI-based fault detection, embedded implementation using TI’s F28379D DSP, and renewable energy integration. I’ve authored several papers in reputed IEEE, Springer, and Elsevier journals and conferences and also serve as a reviewer for top journals like IEEE Transactions on Power Electronics and Control Engineering Practice. My academic journey has been driven by a single goal — to bridge the gap between theoretical control design and practical implementation, contributing to the development of intelligent and sustainable power systems.
Muzammil
Ahmed
muzammil024
Engineering
PhD/Research Scholar
Power Electronics
PhD(pursuing), M. Tech, B. Tech
English, Hindi, Assamese, Bengali
GATE, JEE MAINS, JEE ADVANCED
Experience
Power Electronics, Magnetic Design, MATLAB/Simulink, Python, Model Predictive Control (MPC), AI-Based Control, Embedded Systems (TI F28379D), Real-Time Simulation, Typhoon HIL, Digital Twin, Renewable Energy Systems, Technical Mentoring
With 4 years of combined academic and research experience spanning Power Electronics, Magnetic Design, MATLAB/Simulink, Python, Model Predictive Control (MPC), AI-Based Control, Embedded Systems (TI F28379D), Real-Time Simulation, Typhoon HIL, Digital Twin development, and Renewable Energy Systems, I focus on bridging advanced control theory with real-time hardware implementation while actively contributing through technical mentoring and applied research.
Indian Institute of Technology Guwahati
PhD Scholar
Social and Mentorship
Behind the scenes, power electronics and control research is far less “perfect” than it looks in papers — simulations behave beautifully, but real hardware introduces delays, noise, parasitics, switching non-idealities, and tight real-time constraints that quickly expose weak assumptions. Advanced controllers like MPC aren’t just about elegant math; they must execute within microseconds on embedded platforms, and debugging often takes far longer than designing. Most of the real learning happens in fixing instability, unexpected ripple, timing mismatches, and hardware-software integration issues — the struggle that never shows up in published plots but builds true engineering depth.