Areas of Expertise
Industrial Engineering, Engineering Management and Production
Education
- PhD in Mechanical Engineering with Specialization in Industrial Engineering
- Master of Technology in Production and Industrial Engineering
- Bachelor of Technology in Mechanical Engineering
Biography
PhD in Mechanical Engineering (Industrial Engineering), Karpagam University, India Dr. Venu Parameswaranpillai is currently involved in Industrial Engineering and Engineering Management, with his research centered on the multidisciplinary aspects of Industry 4.0, including Cloud Computing & Analytics, the Internet of Things, and Artificial Intelligence—technologies that the manufacturing industry is rapidly integrating into its production facilities and operations.
Achievements
Dewang Mehta National Award - Best Professor in Mechanical Engineering 2018—Southern Region, India
Affiliations
- Fellow (FHEA), Advance HE, UK - UK Professional Standards Framework for teaching and
- learning support in higher education.
- Member of American Society of Mechanical Engineers (ASME)
Grants & Contracts Awarded
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Publications & Presentations
- Abhishek Hazra, Ambigavathi Munusamy, Mainak Adhikari, Lalit Kumar Awasthi, P Venu, 6G-enabled Ultra-Reliable Low Latency Communication for Industry 5.0: Challenges and Future Directions. IEEE Communications Standards Magazine. vol. 8, no. 2, pp. 36-42, June 2024, doi: 10.1109/MCOMSTD.0004.2300029.
- Akhtar, U. A., Muhammad, R., Bakar, L. J. A., Parameswaranpillai, V., Raj, B., & Khan, N. B. (2023). Green Human Resource Management Bibliometric Analysis of the Published Literature from 2008 to 2022. International Journal of Professional Business Review, 8(4), e0548. https://doi.org/10.26668/businessreview/2023.v8i4.548
- Himanshu Mittal, Ashish Kumar Tripathi, Avinash Chandra Pandey, P. Venu, Varun G. Menon & Raju Pal, “A novel fuzzy clustering-based method for human activity recognition in cloud-based industrial IoT environment.”, Wireless Networks (WINE), Springer (June 2022). https://doi.org/10.1007/s11276-022-03011-y
- V. Parameswaranpillai and A. Al-Khazraji, ""An IoT-Based Framework to Support Decision Making Process Using Quality Function Deployment,"" 2022 International Conference on Decision Aid Sciences and Applications (DASA), 2022, pp. 1549-1552, doi: 10.1109/DASA54658.2022.9765314.
- Shynu P. G., Nadesh R. K., Varun G. Menon, Venu P., Mahdi Abbasi & Mohammad R. Khosravi, “A secure data deduplication system for integrated cloud-edge networks”, Journal of Cloud Computing volume 9, Article number: 61, Springer Open (Nov-2020)
- Zhenwen Ren, Mithun Mukherjee, Jaime Lloret, Venu P, “Multiple Kernel Driven Clustering with Locally Consistent and Selfish Graph in Industrial IoT”, IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2020.3010357, Print ISSN: 2169-3536, Online ISSN: 2169-3536, June 2020
- Junxia Li, Jinjin Cai, Fazlullah Khan, Ateeq Ur Rehman, Venki Balasubramaniam, Jiangfeng Sun, Venu P, “A Secured Framework for SDN-Based Edge Computing in IoT-Enabled Healthcare System”, IEEE Access, Volume 8, On Page(s): 135479-135490, Online ISSN: 2169-3536, DOI: 10.1109/ACCESS.2020.3011503, June 2020
