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Dr. Maheshkumar H.Kolekar

Ph.D, IIT Kharagpur

Post-Doctoral Fellow, University of Missouri, Columbia, MO, USA

DAAD Fellow TU Berlin, Germany

Associate Editor, IEEE Transactions on Multimedia

Associate Professor

Electrical Engineering Department

Indian Institute of Technology, Patna - 801106. INDIA

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Dr. Maheshkumar H. Kolekar is working as Associate Professor in Dept of Electrical Engg at Indian Institute of Technology Patna, India. He received the Ph.D. degree in Electronics and Electrical Communication Engg from the IIT Kharagpur in 2007. From 2008 to 2009, he was a Post-Doctoral Research Fellow with the Department of Computer Science, University of Missouri, Columbia, USA where he worked on intelligent video surveillance systems. During May to July 2017, he worked as DAAD fellow in Technical University Berlin where he worked on EEG signal analysis using machine learning and deep learning. He has authored a book titled, “Intelligent Video Surveillance Systems: An Algorithmic Approach”, CRC Press, Taylor and Francis Group, (2018). He served as a Head, Dept of Electrical Engg, IIT Patna in 2013 for one year and Head of the Center (HoC) for Advanced Systems Engineering, IIT Patna during 2014 to 2016 for two years. He served as Professor-in-charge, National Knowledge Network of IIT Patna during August 2017 to Sept 2019. He has successfully completed R and D project sponsored by Principal Scientific Advisor to Govt of India on abnormal human activity recognition.He is serving as Editor, IETE Journal of Research since 2022 and Associate Editor in IEEE Transactions on Multimedia since 2025. His name has appeared continuously for four years (2021, 2022, 2023 and 2024) in the top 2% of scientists in the world in the area of artificial intelligence and image processing, according to a list released by Stanford University, USA.

News

  • News 1: Workshop accepted at ICIP 2025:Generative AI for Forensics and Security applications (GenAI-FS 2025):Link
  • News 2: Workshop accepted at ICIP 2025:Innovative Approaches in Image and Signal Processing for Autonomous Vehicles:Link
  • News 3: Paper accepted at IEEE/CVF CVPR, 2024: CFAT: Unleashing Triangular Windows for Image Super-Resolution