Yasir Baig

@manit.ac.in

Research Scholar, Department of Mechanical Engineering
Maulana Azad National Institute of Technology

Yasir Baig


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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

RESEARCH, TEACHING, or OTHER INTERESTS

Renewable Energy, Sustainability and the Environment, Mechanical Engineering, Fluid Flow and Transfer Processes, Computer Vision and Pattern Recognition
3

Scopus Publications

1

Scholar Citations

1

Scholar h-index

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

  • Advancing wind speed forecasting accuracy with a novel ARIMA-GA hybrid model and enhanced parameter optimization
    Y Baig, S Ahmed
    Sādhanā 51 (1), 54 , 2026
    2026
    Citations: 1
  • A multi-criteria decision framework for optimized offshore wind energy site selection: a case study from the Gulf of Mannar
    Y Baig, S Ahmed
    Sādhanā 50 (4), 308 , 2025
    2025
  • Comparison of Effects of Cross Sections of Twisted Inserts in a Concentric Tube Heat Exchanger
    Y Baig, A Choubey, M Sharma
    Technology Innovation in Mechanical Engineering: Select Proceedings of TIME … , 2022
    2022
  • A Comparative Computational Analysis on Performance of a Heat Exchanger with Coil Inserts of Various Pitch Lengths
    F Alam, Y Baig, S Singh
    2020
  • A REVIEW ON ENHANCEMENT OF HEAT TRANSFER RATE BY VARIOUS PASSIVE METHODS
    Y Baig, N Mehta, R Arya, N Diwakar
    2017

MOST CITED SCHOLAR PUBLICATIONS

  • Advancing wind speed forecasting accuracy with a novel ARIMA-GA hybrid model and enhanced parameter optimization
    Y Baig, S Ahmed
    Sādhanā 51 (1), 54 , 2026
    2026
    Citations: 1
  • A multi-criteria decision framework for optimized offshore wind energy site selection: a case study from the Gulf of Mannar
    Y Baig, S Ahmed
    Sādhanā 50 (4), 308 , 2025
    2025
  • Comparison of Effects of Cross Sections of Twisted Inserts in a Concentric Tube Heat Exchanger
    Y Baig, A Choubey, M Sharma
    Technology Innovation in Mechanical Engineering: Select Proceedings of TIME … , 2022
    2022
  • A Comparative Computational Analysis on Performance of a Heat Exchanger with Coil Inserts of Various Pitch Lengths
    F Alam, Y Baig, S Singh
    2020
  • A REVIEW ON ENHANCEMENT OF HEAT TRANSFER RATE BY VARIOUS PASSIVE METHODS
    Y Baig, N Mehta, R Arya, N Diwakar
    2017

Industry, Institute, or Organisation Collaboration

Sagar Nutrients Pvt. Ltd. (SNPL)
Collaborated as a faculty consultant on an industrial project to design a steam condenser system to improve plant efficiency. Led the mechanical design and performance optimization efforts.

IIT Kanpur – Certification Program
Completed a certified training on Python for Artificial Intelligence and Machine Learning, strengthening interdisciplinary expertise in AI applications within engineering domains.

MATLAB Online Simulation Workshop (2021)
Successfully coordinated a five-day national-level virtual workshop attended by students and faculty across institutions, focused on MATLAB-based simulation for engineering applications.

Academic–Industry Integration in Wind Energy
Ongoing collaboration with academic peers and research institutes for the development of hybrid forecasting algorithms (ARIMA-ANN, ARIMA-GA) for wind energy systems and smart grid integration.

Lab-to-Industry Transfer of Design Projects
Led and supervised student projects with real-world applications, such as off-road mobile robotics and heat exchanger design, aligned with industry needs in energy and automation.