Senthilkumar R | Data Science | Editorial Board Member

Dr. Senthilkumar R | Data Science | Editorial Board Member

Assistant Professor / CSE | Hindustan Institute of Technology | India

Dr. Senthilkumar R is a researcher and academic specializing in Internet of Things (IoT), artificial intelligence, fog and edge computing, machine learning, and big data analytics. With over 12 years of academic experience, he has contributed to innovative system designs including AI-enabled monitoring systems, IoT-based automation, embedded intelligence, and deep learning–driven applications. His work spans smart environments, air quality monitoring, emergency alert systems, and AI-powered automation solutions. He has published in reputed international journals such as Elsevier and IOS Press, with research touching multiple domains including communication systems, intelligent sensing, and emotion detection. His achievements include industry-recognized innovation projects, government honors such as the Chief Minister’s Award of Excellence, and contributions to books and edited volumes in artificial intelligence and psychological computing.

Profiles: Scopus | Orcid 

Featured Publications

1. Senthilkumar. (2024). Performance analysis of multiple-input multiple-output orthogonal frequency division multiplexing system using arithmetic optimization algorithm. Computer Standards & Interfaces, Article 103934. Citation count: 0. Year: 2024.

2. Senthilkumar. (2024). Machine and deep learning techniques for emotion detection. In Advances in Psychology, Mental Health, and Behavioral Studies (Edited book). IGI Global. Citation count: 0. Year: 2024.

3. Senthilkumar, R., Venkatakrishnan, P., & Balaji, N. (2022). IoT-based artificial intelligence indoor air quality monitoring system using enabled RNN algorithm techniques. Journal of Intelligent & Fuzzy Systems. Citation count: 0. Year: 2022.

4. Senthilkumar, R., Venkatakrishnan, P., & Balaji, N. (2020). Intelligent-based novel embedded system: IoT-enabled air pollution monitoring system. Microprocessors and Microsystems, 103172. Citation count: 0. Year: 2020.