DR. ANUP LAL YADAV

About

Dr. Anup Lal Yadav is an accomplished academician currently serving as an Associate Professor in the Department of Computer Science and Engineering at CGC University, Mohali, Punjab, India. He earned his Ph.D. in Computer Science and Engineering from Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, Haryana, in 2025.
With over 15 years of teaching and research experience, his areas of expertise include the Internet of Things (IoT), Artificial Intelligence (AI) and Machine Learning (ML). He has published more than 84 research papers, including those indexed in ESCI, in reputed international journals and conferences.
Dr. Yadav actively participates in the academic and research community as a member of several professional bodies, and has served as a program committee member, review board member, and session chair for various international conferences. His work reflects a strong commitment to advancing technological innovation and fostering academic excellence.

Employment

• CGC UNIVESITY ASSOCIATE PROFESSOR
• Maharishi Markandeshwar University, Mullana

Education

• Maharishi Markandeshwar University, Mullana

Projects & Funding

Projects & funding information is unavailable.

Publications (49)

• Automated Detection of Human Trafficking Networks Using Multimodal Data Analytics
  International Conference on Computational Robotics Testing and Engineering Evaluation Iccrtee 2026 2026 DOI: 10.1109/ICCRTEE68719.2026.11566588
  +Save
• Decision-Centric Explainable AI for QbD Optimization of Ultrasound-Triggered Drug- Loaded Microbubbles and Control Strategy Development
  Research Square 2026 DOI: 10.21203/rs.3.rs-8947026/v1
  +Save
• Design and Implementation of a Cloud-Enabled IoT Smart Parking System
  Proceedings of the 2026 IEEE Nexo Tech International Conference on Advanced Technologies and Innovations Icati 2026 2026 DOI: 10.1109/ICATI69399.2026.11604320
  +Save
• Ethical AI Framework for Protecting Human Rights in Digital Surveillance Systems
  International Conference on Computational Robotics Testing and Engineering Evaluation Iccrtee 2026 2026 DOI: 10.1109/ICCRTEE68719.2026.11566317
  +Save
• Improved Deep Learning Framework for CT Imaging-Based Early Lung Cancer Detection
  Proceedings of the 2026 13th International Conference on Computing for Sustainable Global Development Indiacom 2026 2026 DOI: 10.23919/INDIACom70271.2026.11525757
  +Save
• Journal of Discrete Mathematical Sciences & Cryptography
  Journal of Discrete Mathematical Sciences and Cryptography 2026 DOI: 10.47974/JDMSC-29-2-A-Foreword
  +Save
• Journal of Discrete Mathematical Sciences & Cryptography
  Journal of Discrete Mathematical Sciences and Cryptography 2026 DOI: 10.47974/JDMSC-29-2-B-Foreword
  +Save
• AI-Powered Risk Prediction Systems for Irregular Migration Monitoring
  International Conference on Computational Robotics Testing and Engineering Evaluation Iccrtee 2026 2026 DOI: 10.1109/ICCRTEE68719.2026.11566545
  +Save
• Deep Learning's Ascent: Analyzing the Evolution of Deep Learning's Applications, Outcomes and Future Directions
  Proceedings of the 2025 12th International Conference on Computing for Sustainable Global Development Indiacom 2025 2025 DOI: 10.23919/INDIACom66777.2025.11115645
  +Save
• Transforming Online Education: The Role of Computational Intelligence and Emerging Technologies
  Proceedings of the 2025 12th International Conference on Computing for Sustainable Global Development Indiacom 2025 2025 DOI: 10.23919/INDIACom66777.2025.11115806
  +Save