Yasir Baig
Research Scholar, Department of Mechanical Engineering · Maulana Azad National Institute of Technology
Research Interests
Machine Learning & Robotics
Biography
A Ph.D. research scholar in Mechanical Engineering, with expertise in wind energy technologies, computational fluid dynamics, machine learning, and robotics. His research focuses on hybrid wind speed forecasting models, offshore wind farm optimization, and intelligent systems integration. He has worked extensively with tools such as WAsP, Ansys, SolidWorks, and Python, applying CFD, structural analysis, and AI algorithms to real-world energy challenges. He has also contributed to robotics projects, including mobile robot design, and is passionate about developing sustainable, data-driven solutions at the intersection of renewable energy, automation, and intelligent systems.
Education
Ph.D. in Mechanical Engineering (Wind Energy Research) Maulana Azad National Institute of Technology, Bhopal, India | 2021 – Present Thesis: Machine Learning-Driven Wind Speed Forecasting and Layout Optimization for Cost-effective Wind Farms M.Tech in Thermal Engineering Truba Institute of Engineering and Information Technology, Bhopal, India | 2017 B.E. in Mechanical Engineering J.N College of Technology, Bhopal, India | 2013
Recent Scopus Publications
- Advancing wind speed forecasting accuracy with a novel ARIMA-GA hybrid model and enhanced parameter optimization
- A multi-criteria decision framework for optimized offshore wind energy site selection: a case study from the Gulf of Mannar
- Comparison of Effects of Cross Sections of Twisted Inserts in a Concentric Tube Heat Exchanger
Links
- ORCID https://orcid.org/0009-0006-5750-5765
- Google Scholar https://scholar.google.com/citations?user=ZND4TBUAAAAJ
- Scopus https://www.scopus.com/authid/detail.uri?authorId=36937566100