Ramkumar Kalyanaraman | Computer Science | Outstanding Scientist Award

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Prof. Dr. Ramkumar Kalyanaraman | Computer Science | Outstanding Scientist Award

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology | India

Dr. K. Ramkumar is a distinguished academician, researcher, and innovator with over twenty-three years of rich teaching and research experience in the field of Engineering and Computer Science. He is presently serving as a Professor in the Department of Computer Science and Engineering at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India. His illustrious academic journey is marked by consistent dedication to research, innovation, and academic excellence. He obtained his Doctor of Philosophy (Ph.D.) in Computer Science and Engineering from Manonmaniam Sundaranar University, Tirunelveli, in 2018, specializing in Security and Privacy in Cloud Computing, a domain of critical importance in the digital era. To further enhance his expertise and broaden his research perspectives, he pursued a Post-Doctoral Fellowship (PDF) at the Federal University of Ceará, Fortaleza, Brazil, in 2023, focusing on Artificial Intelligence and Biomedical Data Analytics. Throughout his career, Dr. Ramkumar has held several prestigious leadership positions in academia, contributing extensively to institutional growth and quality enhancement. He has served as Professor and Head of the Department (CSE) at Rajalakshmi Institute of Technology, Chennai, and earlier as Professor and Associate Dean (Engineering & Technology) at SRM University, Delhi-NCR, Sonepat, Haryana, where he also chaired the Board of Studies. His earlier academic affiliations include SRM Institute of Science and Technology (Vadapalani Campus, Chennai), Kings Engineering College, and Indira Institute of Engineering and Technology, where he also functioned as Director of Placements. His industry exposure includes working with global technology companies such as Satyam Computer Services Ltd. and LogicaCMG Pvt. Ltd. (now CGI), where he held roles as Associate Consultant, IT Consultant, and Project Leader, leading large technical teams across onshore and offshore environments. Dr. Ramkumar’s research interests encompass a broad spectrum of emerging technologies including Cloud Computing Security, Artificial Intelligence, Machine Learning, IoT Frameworks, Blockchain Systems, and Biomedical Data Analytics. His prolific research output includes numerous publications in SCI, Scopus, and Web of Science-indexed journals, with several articles published in reputed platforms such as Elsevier, Springer, Taylor & Francis, and IEEE. His recent works focus on AI-based diabetic risk prediction, intelligent human activity recognition for assistive technologies, quantum image encryption, and deep learning applications for medical imaging. According to his Google Scholar profile, Dr. Ramkumar has achieved over 1,327 citations, with an h-index of 18 and an i10-index of 24, reflecting the global impact and scholarly recognition of his research contributions. His academic influence extends beyond publications, as he has co-supervised several Post-Doctoral Fellows at the Singapore Institute of Technology, demonstrating his commitment to mentoring and nurturing emerging researchers. Dr. Ramkumar has also published and been granted multiple patents across domains such as wireless sensor networks, mobile ad hoc networks, IoT-based monitoring systems, AI-driven diagnostic tools, and environmental pollution control mechanisms, reflecting his strong inclination toward innovation-driven applied research. Dr. K. Ramkumar stands as a dynamic academic leader whose contributions bridge academia, research, and industry, exemplifying excellence in technological innovation, knowledge dissemination, and professional leadership. His remarkable blend of teaching expertise, research achievements, and administrative acumen continues to inspire students, scholars, and peers across the global academic and scientific community.

Profiles: Scopus | Google Scholar

Featured Publications

Ramkumar, K. (2022). A comparative analysis of methods of endmember selection for use in subpixel classification: A convex hull approach. Computational Intelligence and Neuroscience, 2022, Article ID 3770871

Ramkumar, K., Ananthi, N., Brabin, D. R. D., Goswami, P., Baskar, M., & Bhatia, K. K. (2021). Efficient routing mechanism for neighbour selection using fuzzy logic in wireless sensor network. Computers & Electrical Engineering, 94, 107365.

Banerjee, U., Chakrabortty, J., Rahaman, S. U., & Ramkumar, K. (2024). One-loop effective action up to dimension eight: Integrating out heavy scalar(s). The European Physical Journal Plus, 139(2), 1–29.

Chakrabortty, J., Rahaman, S. U., & Ramkumar, K. (2024). One-loop effective action up to dimension eight: Integrating out heavy fermion(s). Nuclear Physics B, 1000, 116488.

Ramkumar, K., Medeiros, E. P., Dong, A., de Albuquerque, V. H. C., Hassan, M. R., & Hassan, M. M. (2024). A novel deep learning framework based Swin transformer for dermal cancer cell classification. Engineering Applications of Artificial Intelligence, 133, 108097.

Banerjee, U., Chakrabortty, J., Rahaman, S. U., & Ramkumar, K. (2024). One-loop effective action up to any mass-dimension for non-degenerate scalars and fermions including light–heavy mixing. The European Physical Journal Plus, 139(2), 169.

 

Shuai Wang | Mobile Computing | Best Researcher Award

Published on by Research Awards

Prof Dr. Shuai Wang | Mobile Computing | Best Researcher Award 

Prof Dr. Shuai Wang, Southeast University, China

Prof. Dr. Shui Wang is a distinguished Professor and Head of the Computer Engineering Department at Southeast University (SEU), China. A leading researcher in the fields of Internet of Things (IoT), data science, and wireless communications, he directs the SAIL research group, mentoring over 100 students. With a Ph.D. from the University of Minnesota, he has secured over ¥75.6 million in research funding and authored 100+ peer-reviewed publications in top-tier conferences and journals. Prof. Wang has received multiple paper awards, national honors, and serves on numerous editorial and program committees, underscoring his impactful contributions to academia and technology.

Author Profile

Google Scholar

🎓 Early Academic Pursuits

Prof. Dr. Shuai Wang embarked on his academic journey with a deep passion for software and computing systems. He earned his Bachelor’s degree in Software Engineering from Huazhong University of Science and Technology (HUST) in 2009, followed by a Master’s in Computer Applied Technology from the same institution in 2012. These foundational years at one of China’s top engineering schools shaped his technical acumen and introduced him to the dynamic field of computer systems and networks.

Driven by a desire to push the boundaries of innovation, he pursued doctoral studies in the United States. In 2017, he completed his Ph.D. in Computer Science at the University of Minnesota, where he engaged in cutting-edge research on wireless networks, data communication, and system efficiency. This international exposure added a global dimension to his academic and research profile.

💼 Professional Endeavors

After completing his Ph.D., Prof. Wang began his postdoctoral career as a Research Associate at the University of Minnesota (2017–2019). He returned to China in 2019 to join Southeast University (SEU)—one of the top-ranked institutions in China’s CS ranking (No. 16 according to the 2022 Shanghai Ranking).

At SEU, he rapidly advanced from Researcher to Professor and currently serves as the Head of the Department of Computer Engineering (since 2022). He leads the SAIL research group, which includes 1 Professor, 1 Associate Professor, 3 Lecturers, 14 Ph.D. students, and 35 Master’s students. His commitment to interdisciplinary collaboration is evident as he leads major multi-university research projects involving diverse fields and institutions.

🔬 Contributions and Research Focus

Prof. Wang’s research is at the intersection of Internet of Things (IoT), cyber-physical systems, data science, and networking. His work spans the entire data lifecycle in heterogeneous IoT systems—from data sensing and communication to computation and integration. His goal: to achieve seamless interoperability and intelligent collaboration in complex and multimodal environments.

With over 100 peer-reviewed publications, his studies are widely recognized and published in top-tier venues such as ACM UbiComp, MobiCom, ICNP, WWW, INFOCOM, and leading journals like IEEE/ACM TOSN, TPDS, TMC, and TIOT. Many of his papers have earned accolades for their innovative methodologies and practical relevance.

His recent works explore topics like:

  • mmWave radar-based human sensing

  • Wi-Fi-UWB localization

  • Edge-cloud collaboration for LoRa communication

  • Citywide intelligent delivery systems using AI

He has also significantly contributed to real-world system deployments, like crowdsourcing platforms for dementia patient tracking and intelligent vehicle routing systems.

🏆 Accolades and Recognition

Prof. Wang’s excellence has been acknowledged through numerous awards and honors:

  • 🥇 Best Paper/Student Paper Awards at top conferences including ISPA, SpaCCS, ICA3PP, RTSS, ICNP, and WWW.

  • 🌟 National Youth Distinguished Expert (2021)

  • 🧪 Excellent Scientific and Technological Worker by the China Electronics Society (2021)

  • 📘 First and Special Prizes for Teaching Achievements at Southeast University (2021–2022)

  • 🏅 ACM Nanjing New Star Award (2019)

  • 🌐 Youth Award and Best Scholar Title at SEU

  • 🧑‍🏫 Honored as Young Chief Professor of Southeast University

He has also mentored over 120 students including Ph.D., Master’s, undergraduates, and visiting scholars, reflecting his dedication to academic mentorship.

🌍 Impact and Influence

Prof. Wang’s influence extends across both academic and practical domains. His research not only advances theoretical knowledge but also addresses critical societal and industrial challenges, particularly in urban mobility, smart city infrastructure, wireless communication, and human-computer interaction.

His work is frequently cited and implemented in real-world applications, including bike-sharing logistics optimization, privacy vulnerability detection in VR systems, and AI-based IoT communication frameworks. His leadership in organizing academic conferences, reviewing journal articles, and serving on technical committees further solidifies his status as a thought leader.

He has also raised over ¥75.6 million in research funding from prestigious programs such as the NSFC and the Ministry of Science and Technology (MOST).

🔮 Legacy and Future Contributions

As a rising star in computing and engineering, Prof. Shuai Wang is laying a robust foundation for future generations of researchers and engineers. His vision is to foster multi-disciplinary innovation in emerging domains such as edge intelligence, next-generation networking, and autonomous systems.

Looking ahead, he aims to expand global collaborations, contribute to sustainable technological development, and continue training top-tier talent equipped for the challenges of an increasingly digital world.

His dedication, vision, and achievements make him not just a prolific scholar but also a role model for young academics aspiring to make a meaningful impact.

✍️ Publication Top Notes

📘 FairCharge: A data-driven fairness-aware charging recommendation system for large-scale electric taxi fleets

Author: G Wang, Y Zhang, Z Fang, S Wang, F Zhang, D Zhang
Journal: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous
Year: 2020

📘 Research on the treatment mechanism of anthraquinone dye wastewater by algal-bacterial symbiotic system

Author: Y Li, P Cao, S Wang, X Xu
Journal: Bioresource Technology

Year: 2022

📘 Longevity of centenarians is reflected by the gut microbiome with youth-associated signatures

Author: S Pang, X Chen, Z Lu, L Meng, Y Huang, X Yu, L Huang, P Ye, X Chen, …
Journal: Nature Aging
Year: 2023