Dr. Sanjay Dahiya

About

Dr. Sanjay Dahiya is working as Associate Professor and Head of Department in Computer Science and Engineering and In-charge Computer Centre at Ch. Devi Lal State Institute of Engineering and Technology Panniwala Mota (Sirsa) - Haryana, India- 125077. He is Ph. D. (2013) in Computer Science and Engineering from Ch. Devi Lal University, Sirsa- Haryana, India. He has obtained his M. Tech. (Computer Science and Engineering) in 2001 from Kurukshetra University Kurukshetra, India. He is Gold Medalist Post M. Sc. Diploma in Computer Science (1999) from Kurukshetra University, Kurukshetra, India. Presently, His areas of interest are Software Testing, Database System, System Simulation, Operating System, Design of Algorithm & Analysis, Implementation of Information and Communication Technology in Various fields like Agriculture Sector. He is having more than 20 years of teaching and research experience. He is having more than 85 publications in international/ national journals and conferences. He is delivered many Expert lectures, invited talks, key-note address and Chaired sessions in national and international conferences/ seminars/ workshops/ symposia etc. He is completed many Online MOOCS/FDP/STC Courses from NITTTR, Chandigarh, IIT, Kharagpur, IIT, Madras through SWAYAM-NPTEL portal. He is also Member of International Association of Engineers (IAENG) and Editorial Advisory Board of International Journal for Computer Science. He reviews many research papers for International Journals, Ph. D. Thesis, Project Proposal/ Project Completion Report, National/ International Conference/ Workshop/ Seminar etc. He may be contacted through [email protected].

Employment

• Ch. Devi Lal State Institute of Engineering and Technology, Panniwala Mota, (Sirsa)-125077. Associate Professor
  2006 - Present

Education

• Chaudhary Devi Lal University Ph. D. (CSE)
  2006 - 2013
• Kurukshetra University M. Tech. (CSE)
  2000 - 2001

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• IoT-HITS: An IoT Based Human Intrusion DeTection System for Border Region Using Deep Learning
  IETE Journal of Research 2025 DOI: 10.1080/03772063.2025.2521688
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• 5G with Emerging Technology and Its Implication
  5g Enabled Technology for Smart City and Urbanization System 2024 DOI: 10.1201/9781003467892-1
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• IoT-Based 5G Healthcare Systems with Blockchain for Improving the Security of Healthcare Monitoring System
  Lecture Notes in Electrical Engineering 2024 DOI: 10.1007/978-981-97-3442-9_57
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• Irregular Event Classification in Surveillance Videos Using an Auto-Encoder Deep Learning Framework
  IETE Journal of Research 2024 DOI: 10.1080/03772063.2024.2352642
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• VBRN2: Video Description using Bidirectional Recurrent Neural Network
  2024 International Conference on Computer Electronics Electrical Engineering and their Applications Ic2e3 2024 2024 DOI: 10.1109/IC2E362166.2024.10827513
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• A Technique for Human Upper Body Parts Movement Tracking
  IETE Journal of Research 2023 DOI: 10.1080/03772063.2022.2048708
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• Analysis of the Status Quo of Artificial Intelligence: Society
  2023 International Conference on Advances in Computation Communication and Information Technology Icaiccit 2023 2023 DOI: 10.1109/ICAICCIT60255.2023.10466015
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• Leveraging Advanced Convolutional Neural Networks and Transfer Learning for Vision-Based Human Activity Recognition
  Lecture Notes in Electrical Engineering 2023 DOI: 10.1007/978-981-99-0236-1_19
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• Pre-Encryption and Identification (PEI): An Anti-crypto Ransomware Technique
  IETE Journal of Research 2023 DOI: 10.1080/03772063.2022.2048706
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• Reduction in voltage drop of distribution feeders using bifurcation technique - A case study of 11kV feeder of 220kV subdivision
  Aip Conference Proceedings 2022 DOI: 10.1063/5.0080752
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