YEGNANARAYANAN VENKATARAMAN | International Data Breakthrough Achievement Award - Award Winner 2023
Prof YEGNANARAYANAN VENKATARAMAN : Network Analysis Real-time Data Streams
Congratulations to Prof. Yegnanarayanan Venkataraman for winning the International Data Breakthrough Achievement Award in Network Analysis and Real-time Data Streams! Your expertise in research data analysis excellence is truly commendable. Well-deserved recognition!
Professional Profiles:
Early Academic Pursuits
Prof. V. Yegnanarayanan embarked on his academic journey with a strong foundation, obtaining a B.Sc. from Madurai Kamaraj University. He continued to pursue excellence, earning an M.Sc. from the same university, showcasing his dedication to the field of mathematics. His commitment to scholarly pursuits led him to pursue an M.Phil. at Madurai Kamaraj University, further deepening his understanding of mathematical concepts. Subsequently, he achieved a Ph.D. from Annamalai University, where his thesis focused on "Graph Coloring and Labeling."
Professional Endeavors
Armed with a solid educational background, Dr. Yegnanarayanan entered the professional realm and has since accumulated an impressive 34 years of experience. He has held various prestigious positions, including Research Chair Professor at SASTRA Deemed to be University, Professor & Dean at VFSTR University, and Senior Professor at Velammal Engineering College. His leadership journey also includes roles as Dean and Director, showcasing his administrative prowess.
Contributions and Research Focus
Prof. Yegnanarayanan has made substantial contributions to the field of mathematics, particularly in Graph Theory. His dedication to teaching and research earned him the Dr. Sarvapelli Radhakrishnan Distinguished Professor Award in 2021. With over 200 research papers published in international/national journals, he has established himself as a prominent figure in the academic community.
Accolades and Recognition
His noteworthy achievements include the Sentinel of Science Award by Publons (UK) for meritorious contribution as a reviewer, as well as winning seven prominent awards for contributions to research and teaching. His involvement in funded research projects, completion of consultancy work, and successful guidance of six Ph.D. students underscore his impact in academia.
Impact and Influence
Prof. Yegnanarayanan's influence extends beyond his individual accomplishments. As a senior member of IEEE, a referee for international journals in Graph Theory, and a visiting scientist at IMSC, Chennai, he has actively contributed to the broader scientific community. His numerous invited talks, guest lectures, and international collaborations, including a visit to Texas A&M University, Qatar campus, highlight the global reach of his influence.
Legacy and Future Contributions
With a remarkable API score and a track record of managing UGC, NAAC, and NBA visits, Prof. Yegnanarayanan has left a lasting legacy in academia. His role as a mentor and advisor for students, involvement in various committees, and leadership in sports and discipline initiatives showcase a holistic approach to education. As he continues his journey as a Senior Professor at Kalasalingam Academy of Research and Education, his future contributions are eagerly anticipated, building upon the strong foundation of his past achievements.
Notable Publications:
- Anomaly detection in location-based services Human-Assisted Intelligent Computing: Modelling, simulations and applications, 2023, pp. 8.1–8.14
- Using AI and ML to predict shipment times of therapeutics, diagnostics and vaccines in e-pharmacy supply chains during COVID-19 pandemic International Journal of Logistics ManagementThis link is disabled., 2023, 34(2), pp. 390–416
- Predicting Order Processing Times in E-Pharmacy Supply Chains During COVID Pandemic Using Machine learning—A Real-World Study 2023, 552, pp. 175–197
- A large-scale real-world comparative study using pre-COVID lockdown and post-COVID lockdown data on predicting shipment times of therapeutics in e-pharmacy supply chains 2022, 52(7), pp. 512–537
- Comprehending COVID-19 as a contact network Biomedical Engineering Applications for People with Disabilities and the Elderly in the COVID-19 Pandemic and Beyond, 2022, pp. 105–108