Mr. Naveen Kumar | Performance Management | Best Scholar Award

Jawaharlal Nehru university, New Delhi | India

Naveen Kumar is an experienced academician in computer engineering, currently serving as an Assistant Professor at the Panipat Institute of Engineering and Technology, Haryana, since 2014. He holds a Master of Technology in Computer Engineering from the University Institute of Engineering and Technology, Kurukshetra University, and a Bachelor of Technology in Computer Engineering from Maharishi Markandeshwar Engineering College, Mullana. His teaching career spans over fifteen years, including previous roles as Lecturer at N.C. College of Engineering and Technology, Panipat. He has qualified both the GATE (2018) and UGC-NET (July and December 2018), reflecting his strong academic foundation. His research interests include genetic algorithms, optimization techniques, digital image processing, data structures, and artificial intelligence. Naveen Kumar has published research papers in reputed journals, focusing on comparative analyses of genetic algorithm operators and their applications in solving the Traveling Salesman Problem. He has actively participated in various national workshops and faculty development programs on topics such as big data, cyber forensics, high-performance computing, and intellectual property rights. Recognized for his commitment to academic excellence, he has contributed to departmental and institutional development activities and accreditation processes. Naveen Kumar continues to inspire students and peers through his dedication to research, teaching innovation, and technical education advancement.

Profile: Google Scholar

Featured Publications

Kumar, N., & Karambir, R. (2012). A comparative analysis of PMX, CX and OX crossover operators for solving traveling salesman problem. International Journal of Latest Research in Science and Technology, 1(2), 98–101.

Kumar, N., & Chaudhary, A. (2024). Surveying cybersecurity vulnerabilities and countermeasures for enhancing UAV security. Computer Networks, 252, 110695.

Kumar, N. (2012). A genetic algorithm approach to study traveling salesman problem. Journal of Global Research in Computer Science, 3(3), 33–37.

Kumar, N., Chaudhary, V., & Dubey, S. K. (2025). Cybersecurity and emerging technologies: Challenges and opportunities. In Cybersecurity preparedness among Indian firms: Opportunities, challenges, and strategies (pp. xx–xx).

Kumar, N., Kumar, G., & Chaudhary, V. (2024). Redefining national security threats in cyberspace: A challenging problem. In Proceedings of the International Seminar on Emerging Threats to National Security: Cyber and Information Warfare (pp. xx–xx).

Assoc. Prof. Dr. Ankit Chaudhary | Strategic Leadership | Best Researcher Award

Jawaharlal Nehru University | India

Dr. Ankit Chaudhary is an accomplished Associate Professor in the Cybernetics Group at the School of Engineering, Jawaharlal Nehru University, New Delhi. He earned his Ph.D. in Computer Science and has over 15 years of academic and research experience in artificial intelligence, cyber-physical systems, computer vision, and cybersecurity. Prior to joining JNU, he served as an Assistant Professor at the University of Missouri System, USA, and as a researcher at CSIR-CEERI, India. His scholarly output includes over 105 publications in reputed journals and conferences, four books, and more than 2,950 citations on Google Scholar. Dr. Chaudhary has held visiting positions at prestigious institutions such as the University of Houston–Clear Lake, IIM Rohtak, and the University of Auckland. His research focuses on intelligent systems, deep learning, and cyber resilience. He has been recognized internationally with awards and honors such as the South Korean Research Society Award, the Sentinels of Science Award, and inclusion in Marquis Who’s Who in the World. He has also served as an editor and reviewer for top-tier journals, and as a grant panellist for DAAD-Germany and the Swiss National Science Foundation. His contributions continue to advance the global frontiers of intelligent and secure computing.

Featured Publications

Raheja, J. L., Chaudhary, A., & Singal, K. (2011). Tracking of fingertips and centers of palm using KINECT. 2011 IEEE 3rd International Conference on Computational Intelligence, Modelling and Simulation (CIMSIM), 248–252.

Pandy, H., Chaudhary, A., & Mehrotra, D. (2014). A comparative review of approaches to prevent premature convergence in GA. Applied Soft Computing, 24, 1047–1077.

Chaudhary, A., Raheja, J. L., Das, K., & Raheja, S. (2011). Intelligent approaches to interact with machines using hand gesture recognition in natural way: A survey. International Journal of Computer Science and Engineering Survey (IJCSES), 2(1), 122–133.

Raheja, J. L., Kumar, S., & Chaudhary, A. (2013). Fabric defect detection based on GLCM and Gabor filter: A comparison. Optik, 124(23), 6469–6474.

Raheja, J. L., Mishra, A., & Chaudhary, A. (2016). Indian Sign Language recognition using SVM. Pattern Recognition and Image Analysis, 26(2), 434–441.