Prof. Dr. Rohit Bajaj | Artificial Intelligence | Best Researcher Award
Professor at Chandigarh University, India
Dr. Rohit Bajaj is a seasoned academic and researcher with over 16 years of extensive experience in the field of Computer Science and Engineering. Currently serving as a Professor at Chandigarh University since 2016, he has contributed significantly to both academia and industry-oriented research. Known for his interdisciplinary research approach, Dr. Bajaj’s expertise spans artificial intelligence, wireless networks, cloud computing, healthcare informatics, and software-defined networking. He has mentored numerous postgraduate and doctoral scholars and has authored several high-impact publications in reputed international journals. His dedication to innovation is evident through his active involvement in patents, books, and conferences across global platforms.
Profile
Education
Dr. Bajaj holds a Ph.D. in Computer Science from Sai Nath University (2013), an M.Tech in Computer Science and Engineering from Maharshi Dayanand University, Rohtak, and a B.Tech in Information Technology from Guru Jambheshwar University of Science and Technology, Hisar. His academic journey reflects a strong foundation in core and applied computer science, which has fueled his ability to conduct impactful research and deliver quality education.
Experience
With a professional journey spanning over a decade and a half, Dr. Bajaj has held various academic roles starting as an Assistant Professor at BRCM College of Engineering & Technology in 2008. He later served at Om Institute of Technology and Management and Chandigarh Group of Colleges before joining Chandigarh University as a Professor in 2016. Throughout his career, he has demonstrated a consistent commitment to teaching excellence, research supervision, and curriculum development. His leadership has been instrumental in guiding numerous postgraduate theses and doctoral dissertations, contributing to a robust research culture within his institutions.
Research Interests
Dr. Bajaj’s primary research interests include artificial intelligence, machine learning, healthcare data analytics, wireless sensor networks, cloud computing, and software-defined networking. He has made significant contributions to healthcare analytics, particularly in predictive modeling using deep learning and neuro-fuzzy systems. His work also delves into load balancing algorithms, MAC layer optimization for body area networks, and adaptive protocols in mobile ad hoc networks. His interdisciplinary focus bridges the gap between computer science theories and real-world applications, especially in smart health and intelligent systems.
Awards and Recognitions
Dr. Bajaj has earned recognition for his academic contributions through various national and international conferences. His edited book, Optimized Predictive Models in Healthcare Using Machine Learning, published by Wiley in 2024, is indexed in Scopus, marking a significant milestone in his publishing career. He has also filed two Indian patents: “Pin Less Paper Stapling Apparatus” and “Smart Toll Collection System” in 2022, showcasing his interest in practical innovation. His involvement in technical workshops, FDPs, and industry-academic collaborations reflects his commitment to continuous learning and professional development.
Selected Publications
Dr. Bajaj has authored multiple peer-reviewed articles in reputed journals. Notable among them are:
Enhancement of Multiclass Dermoscopic Image Classification with a Fusion Model and Fine-Tuned Deep Neural Networks, published in Procedia Computer Science, 2024 – Scopus Indexed (Cited by: 18).
Hybrid model of alternating least squares and root polynomial technique for colour correction, published in Soft Computing, 2023 – SCI Indexed (Cited by: 22).
A Review of MAC Layer for Wireless Body Area Network, published in Journal of Medical and Biological Engineering, 2021 – SCI Indexed (Cited by: 31).
Remote Radio Head Scheduling in LTE-Advanced Networks, published in Wireless Personal Communications, Sep 2021 – SCI Indexed (Cited by: 27).
Deep neuro-fuzzy approach for risk and severity prediction using recommendation systems in connected health care, published in Transactions on Emerging Telecommunications Technologies, Oct 2020 – SCI Indexed (Cited by: 40).
Evolution from ancient medication to human-centered Healthcare 4.0: A review on healthcare systems, published in IJCS (Wiley), July 2019 – SCI Indexed (Cited by: 33).
Intelligent Stress Calculation and Scheduling in Segmented Processor Systems Using Buddy Approach, published in International Journal of Advanced Research in Computer Science, 2017 – SCI Indexed (Cited by: 15).
Conclusion
Dr. Rohit Bajaj stands as a leading academic voice in the intersection of AI, healthcare informatics, and wireless technologies. His dynamic career reflects a blend of teaching prowess, impactful research, and innovation-driven projects. By mentoring doctoral scholars, editing scientific books, filing patents, and publishing in leading journals, he has demonstrated a comprehensive approach to academic excellence. His contributions continue to shape intelligent systems research and practical computing solutions in India and beyond, making him a fitting nominee for recognition in AI and Data Science Excellence.