Dr. Gurdit Singh is an Assistant Professor in the Department of Computer Science at Punjab Agricultural University. He holds a Ph.D. and M.Tech. in Computer Science and Engineering from Punjab Engineering College, and a B.Tech. from Punjab Technical University. With over 15 years of academic and research experience, Dr. Singh specializes in mobile sensing, image processing, cryptography, and secure wireless networks. His research contributions include projects on smartphone-based road surface monitoring, secure wireless mesh networks, and intelligent transportation systems, with funding from prestigious agencies like MeitY. He has published in reputed journals such as Pervasive and Mobile Computing and authored book chapters on artificial intelligence in agriculture. Dr. Singh’s ongoing work integrates machine learning with mobile sensor data to solve real-world problems in transportation and smart environments. He is a recognized researcher with IDs in OrcID, Scopus, WoS, and Google Scholar, and continues to contribute to both academia and applied research domains.

Field of Specialization:

• Mobile Sensors
• Wireless network
• Cryptography and Cryptanalysis
• Secure Wireless Networks
• Machine Learning

Research Interests

• Mobile Sensors
• Machine Learning
• Image Processing

Research projects:

• Communication Assisted Road Transportation Systems CARTS project was funded by ITRA Media Lab Asia, initiated by Ministry of Electronics and Information Technology (MeitY).

• Wireless mesh networks: Analysis of routing protocols Worked on wireless mesh networks and studied various routing protocols and their drawbacks and currently working on a secure HWMP routing protocol for wireless mesh networks.

• Road Surface Condition Detection using Smartphone Sensors Worked on smartphone sensors which can detect the road surface conditions like pothole and bumps by installing an Android application on smartphone.

Publications:

1. Singh G (2024). A critical analysis of convolutional neural networks for leaf disease detection in plants. In: Artificial Intelligence and Smart Agriculture: Technology and Applications. Springer Nature Singapore. pp. 461-493.
2. Singh G and Singh T (2022). An in-depth analysis of convolutional neural networks for agricultural purposes. In: Society 5.0 and the Future of Emerging Computational Technologies. CRC Press. pp. 15-34.
3. Singh G, Bansal D and Sofat S (2017). A smartphone-based technique to detect driving behavior using DTW. Pervasive Mob Comput. 40: 56–70. https://doi.org/10.1016/j.pmcj.2017.06.003.
4. Singh G, Bansal D and Sofat S (2017). Smart patrolling: an efficient road surface monitoring using smartphone sensors and crowdsourcing. Pervasive Mob Comput. 40: 71-88. https://doi.org/10.1016/j.pmcj.2017.06.002.
5. Singh G, Bansal D and Sofat S (2014). Intelligent transportation system for developing countries – a survey. Int J Comput Appl. 85(3): 34-38.