Assoc. Prof. Dr. Vijay Kumar | Drug Discovery and Development | Editorial Board Member
Dr B R Ambedkar NIT Jalandhar, India
Assoc. Prof. Dr. Vijay Kumar is a distinguished researcher, academician, and innovator in the fields of artificial intelligence, machine learning, biomedical informatics, cybersecurity, image processing, and computational intelligence. Over the course of his career, he has established himself as a prolific contributor whose research bridges advanced computational theories with real-world applications, particularly in healthcare, pandemic intelligence, medical imaging, network security, and autonomous systems. His academic journey is defined by a commitment to solving high-impact global challenges through intelligent algorithms, deep learning frameworks, optimization strategies, and secure data-driven technologies.Dr. Vijay Kumar’s scholarly work reflects exceptional depth and diversity. He has authored impactful publications in leading journals such as IEEE Transactions on Vehicular Technology, IEEE Journal of Biomedical and Health Informatics, Vaccine, Artificial Intelligence Review, Archives of Computational Methods in Engineering, Multimedia Tools and Applications, Computers in Biology and Medicine, and Biomedical Signal Processing and Control. His research spans a broad spectrum—from deepfake detection, autonomous vehicle visibility enhancement, multi-objective optimization, and cybersecurity frameworks, to intelligent diagnostic models for COVID-19, breast cancer, cervical cancer, and other critical diseases. His studies on advanced metaheuristic algorithms, chaotic encryption systems, drug synergy prediction, air-quality forecasting, and big healthcare data security have contributed significantly to modern computational science. A visionary in interdisciplinary AI, Dr. Kumar has collaborated extensively with international researchers, producing high-impact work on deep neural networks, generative adversarial models, hybrid optimization techniques, multimodal medical imaging, and cloud-based encryption systems. His contributions to pandemic preparedness, especially ML-driven vaccine development roadmaps and intelligent screening systems, highlight his dedication to translating technology into meaningful societal outcomes.He is also recognized for designing innovative algorithms such as lightweight NIDS architectures, evolutionary visibility restoration models, customized dehazing networks, and novel feature-selection optimizers. His body of work has become a reference point for emerging scholars in computer science, health informatics, and computational engineering.Dr. Vijay Kumar continues to lead transformative research, mentor young scientists, and contribute to global scientific advancement through his extensive publication record, collaborative projects, and commitment to innovation. His enduring academic excellence and forward-looking approach place him among the most influential researchers driving the future of intelligent systems and healthcare-focused artificial intelligence.
Profile: Google Scholar
Featured Publications
Katoch, S., Chauhan, S. S., & Kumar, V. (2020). A Review on Genetic Algorithm: Past, Present, and Future. Multimedia Tools and Applications, 52, 5252.
Dhiman, G., & Kumar, V. (2019). Seagull optimization algorithm: Theory and its applications for large‑scale industrial engineering problems. Knowledge‑Based Systems, 165, 169‑196.
Dhiman, G., & Kumar, V. (2017). Spotted Hyena Optimizer: A Novel Bio‑inspired based Metaheuristic Technique for Engineering Applications. Advances in Engineering Software, 114, 48‑70.
Dhiman, G., & Kumar, V. (2018). Emperor Penguin Optimizer: A Bio‑inspired Algorithm for Engineering Problems. Knowledge‑Based Systems, 159, 20‑50.
Singh, D., Kumar, V., Vaishali, & Kaur, M. (2020). Classification of COVID‑19 patients from chest CT images using multi‑objective differential evolution–based convolutional neural networks. European Journal of Clinical Microbiology & Infectious Diseases, 39, 1379‑1389.
Jaiswal, A., Gianchandani, N., Singh, D., Kumar, V., & Kaur, M. (2020). Classification of the COVID‑19 infected patients using DenseNet201 based deep transfer learning. Journal of Biomolecular Structure and Dynamics, 73, 1‑?.
Dhiman, G., Garg, M., Nagar, A., Kumar, V., & Dehghani, M. (2020). A Novel Algorithm for Global Optimization: Rat Swarm Optimizer. Journal of Ambient Intelligence and Humanized Computing, 5, 12‑?.
Das, N. N., Kumar, N., Kaur, M., Kumar, V., & Singh, D. (2020). Automated deep transfer learning‑based approach for detection of COVID‑19 infection in chest X‑rays. IRBM, 4, 25‑?.
Kaur, M., & Kumar, V. (2020). A comprehensive review on image encryption techniques. Archives of Computational Methods in Engineering, 27(1), 390.