Pavinder Yadav

About

Research Scholar @ NIT Hamirpur.

Research Interests: Deep Learning, Machine Learning, Pattern Recognition, Object Detection, Neural Networks

Pavinder is an accomplished professional with a solid academic foundation. He holds a Bachelor of Science degree from Govt. College in Hisar, Haryana, India, earned in 2015, and a Master of Science in Mathematics from DCRUST in Sonipat, Haryana, India, conferred in 2017. Currently, Pavinder is immersed in his doctoral studies within the Mathematics and Scientific Computing Department at the esteemed National Institute of Technology in Hamirpur, India.

His academic prowess is underscored by his success in the mathematics segments of the CSIR-UGC JRF exams in both 2017 and 2018, a testament to his analytical acumen. In 2019, Pavinder achieved another milestone by passing the Graduate Admissions Test (GATE). His academic journey mirrors his deep-seated passion for expanding his knowledge in cutting-edge fields such as Computer Vision, Deep Learning, Machine Learning, and Image Processing. Pavinder's commitment to excellence and intellectual curiosity positions him as a forward-thinking professional in the realm of mathematics & Computing and its interdisciplinary applications.

Employment

• University of Petroleum and Energy Studies Assistant Professor
  2025 - Present
• Deenbandhu Chhotu Ram University of Science and Technology Department of Mathematics Visiting Faculty
  2020 - 2020
• Deenbandhu Chhotu Ram University of Science and Technology Department of Mathematics Visiting Faculty
  2019 - 2019
• Deenbandhu Chhotu Ram University of Science and Technology Visiting Faculty
  2018 - 2018

Education

• National Institute of Technology Hamirpur PhD
  2020 - Present
• Deenbandhu Chhotu Ram University of Science and Technology Masters in Mathematics
  2015 - 2017
• Kurukshetra University B.Sc. - Computer Science
  2011 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• AF-SGS: Blockchain-assisted secure authentication framework for smart grid systems
  International Journal of Information Technology 2026 DOI: 10.1007/s41870-025-03069-9
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• WeaponVision AI: a software for strengthening surveillance through deep learning in real-time automated weapon detection
  International Journal of Information Technology 2025 DOI: 10.1007/s41870-024-02375-y
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• COVID-19 Detection from CT Scan Images using Transfer Learning Approach
  2024 DOI: 10.1145/3647750.3647774
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• Enhancing Video Surveillance with Deep Learning-Based Real-Time Handgun Detection and Tracking
  2024 DOI: 10.1007/978-3-031-58181-6_15
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• Robust weapon detection in dark environments using Yolov7-DarkVision
  Digital Signal Processing 2024 DOI: 10.1016/J.DSP.2023.104342
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• Deep Learning Based Automated Electronic Meter Reading System using YOLOv5 Architecture
  2023 DOI: 10.1145/3645279.3645288
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• A comprehensive study towards high-level approaches for weapon detection using classical machine learning and deep learning methods
  Expert Systems with Applications 2023 DOI: 10.1016/j.eswa.2022.118698
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• Handwritten equation solver using Convolutional Neural Network
  Intelligent Systems and Applications in Computer Vision 2023 DOI: 10.1201/9781003453406-6
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• Automated Electronic Meter Reading System Using Yolo Architectures
  2022 DOI: 10.2139/ssrn.4245296
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• Implementation of Deep Learning Techniques to the Detection and Classification of Knives, with a Flask Web-Based User Interface
  SSRN 2022 DOI: 10.2139/ssrn.4281618
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