Dr. Binu Krishnan U is a dedicated educator and researcher with a passion for technology and innovation. He is currently an Assistant Professor in the Department of Artificial Intelligence at Amrita Vishwa Vidyapeetham, Coimbatore. His journey in education began with a BTech in Electrical and Electronics Engineering from Government Engineering College, Thrissur, followed by an MTech in Power Systems from the College of Engineering, Trivandrum. He later earned his Ph.D. from the National Institute of Technology, Calicut. The research during his Ph.D. focused on improving the stability of microgrids—small-scale power grids that can operate independently. His work involved developing models and control strategies to make these systems more reliable and efficient, which is crucial as the world moves towards renewable energy sources. His findings have been published in several respected international journals and presented at global conferences.
With a rich teaching background, he has worked at prestigious institutions like the National Institute of Technology, Calicut, and Global Academy of Technology, Bengaluru. His teaching and research interests lie in Electrical Engineering and Artificial Intelligence, and he is committed to helping students understand and apply these complex subjects in practical ways. In addition to his academic roles, he is skilled in using various technical tools and software, including MATLAB, Python, and AutoCAD, which are essential for engineering design and analysis. He has also completed advanced certification courses in power distribution systems and electric vehicle technologies, showcasing his commitment to continuous learning.
Experience(s)/Qualification(s):
PhD (2021)
Specialization: Electrical Engineering (Microgrid Control)
Thesis title: Design, optimization, and analysis of stability improvement schemes for droop-controlled microgrid
M.Tech (2012)
Specialization: Power Systems
Thesis title: Application of Photovoltaic solar farm as STATCOM in a solar-wind hybrid system with maximum power point tracking