Munish Kumar

About

Dr. Munish Kumar obtained his Master’s degree in Computer Science & Engineering from Thapar Institute of Engineering & Technology, Patiala, India in 2008, and subsequently earned his Ph.D. from the same institute in 2015. He is currently serving as an Associate Professor in the Department of Computational Sciences at Maharaja Ranjit Singh Punjab Technical University (MRSPTU), Bathinda, Punjab, India. With a distinguished academic record, Dr. Kumar has authored six books, secured five patents, and published over 160 research articles in reputed international journals and conference proceedings. His research has received more than 10,000 citations on Google Scholar, reflecting its significant impact and recognition in the academic community. His work appears in high-impact, peer-reviewed journals and prestigious conference proceedings of IEEE, ACM, and Springer. Dr. Kumar has successfully supervised nine Ph.D. scholars and is currently mentoring six more. His primary research interests include character recognition, handwriting recognition, computer vision, machine learning, and pattern recognition. In recognition of his outstanding contributions to research and education, Dr. Kumar has been honored with the Panjab University Shiv Nath Rai Memorial Mid-Career Best Scientist Award (2023), the IETE–Biman Bihari Sen Memorial Award (2024), and the prestigious ISTE Best Teacher Award (2025).

Employment

• Maharaja Ranjit Singh Punjab Technical University Associate Professor
  2023 - Present
• Maharaja Ranjit Singh Punjab Technical University Assistant Professor
  2016 - 2023

Education

• Thapar Institute of Engineering and Technology Ph.D.
  2009 - 2015
• Thapar Institute of Engineering and Technology Master of Engineering
  2006 - 2008

Projects & Funding

Projects & funding information is unavailable.

Publications (199)

• A Novel Adaptive Attention Fusion and Multi-scale CNN–Transformer Framework for Histopathological Cancer Classification
  National Academy Science Letters 2026 DOI: 10.1007/s40009-026-02405-2
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• Security analysis of handwritten pseudoword CAPTCHAs against OCR attacks
  Multimedia Tools and Applications 2026 DOI: 10.1007/s11042-026-21770-0
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• Facial Emotion Recognition Using the Lightweight EfficientNetB3 Model with FER-2013 and CK+ Datasets
  National Academy Science Letters 2026 DOI: 10.1007/s40009-026-02040-x
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• Fine-Tuning MobileNetV2 for Lightweight Facial Emotion Recognition: FER-2013 and CK+ Datasets
  National Academy Science Letters 2026 DOI: 10.1007/s40009-026-01952-y
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• Efficient Human Activity Recognition Using a Hybrid MobileNetV2-CNN Model
  National Academy Science Letters 2025 DOI: 10.1007/s40009-025-01720-4
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• Forensic handwriting analysis: a hybrid classification framework for writer identification in Devanagari script
  Multimedia Tools and Applications 2025 DOI: 10.1007/s11042-024-20574-4
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• Human activity recognition: A comprehensive review
  Expert Systems 2024 DOI: 10.1111/exsy.13680
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• Facial emotion recognition: A comprehensive review
  Expert Systems 2024 DOI: 10.1111/exsy.13670
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• Transfer learning for human gait recognition using VGG19: CASIA-A dataset
  Multimedia Tools and Applications 2024 DOI: 10.1007/s11042-024-20132-y
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• Correction to: A convolution deep architecture for gender classification of Urdu handwritten characters
  Multimedia Tools and Applications 2024 DOI: 10.1007/s11042-024-20020-5
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