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Burhan U Din Abdullah Born: 6 August 1994, Jammu and Kashmir, India Nationality: Indian Occupation: Research Professional, Electrical and Renewable Energy Engineer, Doctoral Candidate
Early Life and Education Burhan U Din Abdullah was born on 6 August 1994 in Jammu and Kashmir, India. He developed an early interest in electrical and renewable energy engineering, leading him to pursue higher education in this field. He holds a Bachelor’s Degree in Electrical and Renewable Energy Engineering from Baba Gulam Shah Badshah University, where he completed a thesis on the Automation of Building Lights.
After completing his undergraduate studies, Burhan furthered his education by pursuing a Master’s in Power Systems from J.C. Bose University of Science and Technology, YMCA, where his focus was on Intelligent MPPT (Maximum Power Point Tracking) Control for PV Systems Connected to Grid. Currently, he is pursuing a PhD at Sharda University, with research dedicated to enhancing the efficiency of photovoltaic systems using intelligent control strategies, supported by an SU fellowship.
Career Burhan has held several positions in both academia and the energy industry:
As a Teaching Assistant at the Electrical and Electronics Engineering Department of Sharda University, he lectured students, conducted research, and participated in scholarly publications. In his role as a Consultant in Business Development and Planning at Aress Software, he provided strategic advice on improving operational processes and business development initiatives. He gained practical experience during an internship with the Electricity Department of Jammu and Kashmir, where he worked on protection schemes for substation equipment like bus bars, transformers, and transmission lines. Research and Publications Burhan U Din Abdullah’s research is focused on renewable energy systems, with a particular emphasis on improving photovoltaic efficiency through intelligent algorithms. His notable publications include:
Comparative Analysis Using Multiple Regression Models for Forecasting Photovoltaic Power Generation (Q1, SCI, Energies) A Hybrid Artificial Ecosystem Optimizer and Incremental Conductance MPPT-Controlled Grid-Connected Photovoltaic System (Q1, SCI, Energies) IoT-Based Solar Monitor System (IEEE Explorer) Application of AI in MPPT for Solar Power Systems: Review (ICAIM 2023) Performance and Reliability Investigation of Practical Microgrid with Photovoltaic Units (Book Chapter, Taylor and Francis) Skills and Certifications Burhan is highly skilled in:
Renewable Energy Technologies Power Systems Analysis Photovoltaic System Simulation Optimization Techniques MATLAB, Python, and C++ Programming He holds certifications in Industrial Training on Optimization Techniques Used in Renewable Resources and Power Systems (NSIC: 203386) and a Diploma in Environmental Management from Alison.
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