Published on 31/10/202531/10/2025 by Leadership and Management 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. Profiles: Google Scholar | Scopus 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. Assoc. Prof. Dr. Ankit Chaudhary | Strategic Leadership | Best Researcher Award
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.
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.
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.
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.