Hemant Kumar

About

Work in the field of education, training and research.

Experienced learner and Research Scholar.

Highlights of Qualifications:

Excellent experience in developing materials for computer science courses

Sound knowledge of Systems Programming and Databases

Profound knowledge of teaching related software engineering systems

Ability to supervise work for undergraduate and master students

Ability to design required computer graphics

Proficient in core CSE courses

Employment

• Babu Banarasi Das Institute of Technology and Management Assistant Professor
  2020 - 2022
• Rameshwaram Institute of Technology & Management Assistant Professor
  2017 - 2020

Education

• Sam Higginbottom University of Agriculture Technology and Sciences M.TECH
  2014 - 2016
• Dr. A.P.J. Abdul Kalam Technical University B.TECH
  2006 - 2010

Projects & Funding

Projects & funding information is unavailable.

Publications (15)

• A Lightweight Attention-Based Deep Learning Framework for Pedestrian Detection in Autonomous Driving Scenarios
  IJERT.ORG 2026 DOI: 10.5281/ZENODO.20699778
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• BumpNet: A Lightweight Vision-Based Deep Learning Model for Speed Bump Detection in Urban Driving Scenes
  2026 Fourth International Conference on Secure Cyber Computing and Communications (ICSCCC) 2026 DOI: 10.1109/icsccc69031.2026.11600167
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• RE-FusionNet: A Resource-Efficient Multi-Task Network for Joint Traffic Element Detection and State Recognition
  International Journal of Current Engineering and Technology 2026 DOI: 10.14741/ijcet/v.16.3.3
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• VEDA-Net: A Lightweight CNN Framework with Differential Attention and Edge-Aware Fusion for Real-Time Vehicle Detection
  International Research Journal of Computer Science 2026 DOI: 10.26562/irjcs.2026.v1305.03
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• SurfaceNet: A Two-Stage YOLOv11-ViT Framework for Road Surface Condition Detection
  2026 International Conference on Next Generation Electronics (NELEX) 2026 DOI: 10.1109/nelex69209.2026.11590061
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• Robust-LaneNet: A Lightweight CNN Model for Autonomous Vehicle System in Adverse Visual Conditions
  2026 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) 2026 DOI: 10.1109/iatmsi68868.2026.11466263
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• Attention-Guided Improved YOLOv11 Framework for Traffic Lights and Signs Detection in Autonomous Vehicle System
  2025 IEEE Pune Section International Conference (PuneCon) 2025 DOI: 10.1109/punecon67554.2025.11378524
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• Vision technologies in autonomous vehicles: progress, methodologies, and key challenges
  International Journal of System Assurance Engineering and Management 2025 DOI: 10.1007/s13198-025-02912-3
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• Improving Faster R-CNN for Vehicle Detection under Varying Conditions with Domain Adaptation Technique
  2025 Fourth International Conference on Power, Control and Computing Technologies (ICPC2T) 2025 DOI: 10.1109/icpc2t63847.2025.10958674
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• Optimized Pedestrian Detection Leveraging YOLOv9: A Thorough Deep Learning Framework for Autonomous Vehicle System
  2024 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies (INSPECT) 2024 DOI: 10.1109/inspect63485.2024.10896195
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