Dr Sathishkumar V E

Dr Sathishkumar V E

  • Lecturer
Department of Computing and Information Systems
SDGs Focus


Sathishkumar V E is a Lecturer in the Department of Computing and Information Systems at Sunway University, Malaysia. He has held significant roles, including Postdoctoral researcher positions at the Department of Software Engineering, Jeonbuk National University, Republic of Korea and the Department of Industrial Engineering, Hanyang University, Republic of Korea. In 2021, he served as an Assistant Professor in the Department of Computer Science and Engineering at Kongu Engineering College, Erode, India. He earned his Bachelor's degree in Information Technology from Madras Institute of Technology, Anna University in 2013, and a Master's degree in Biometrics and Cyber Security from PSG College of Technology in 2015. Through the Korean Government Scholarship Program, he completed a one-year Korean Language program at Inha University and earned a doctoral degree from the Department of Computer and Communication Engineering at Sunchon National University in 2021. He currently serves as an academic editor for the journal PLOS ONE and BMC Research Notes. He is a reviewer of more than 200 journals and has reviewed more than 2000 articles. 

Academic & Professional Qualifications

  • Doctor of Engineering, Sunchon National University, Republic of Korea (2021)
  • Master of Engineering, PSG College of Technology, India (2015)
  • Bachelor of Technology, Madras Institute of Technology, India (2013)
  • Postdoctoral Researcher, Jeonbuk National University, Republic of Korea (2023)
  • BK Post-Doc, Hanyang University, Republic of Korea (2022)

Research Interests

  • Data science
  • Machine Learning
  • Data Mining
  • Artificial Intelligence

Teaching Areas

  • Data Science
  • Research Methodology

Courses Taught

  • Artificial Intelligence
  • Creative Research and Paper Writing

Notable Publications

1.    Sathishkumar V E, A.G. Ramu, Jaehyuk Cho,”Machine learning algorithms to predict the catalytic reduction performance of eco-toxic nitrophenols and azo dyes contaminants (Invited Article)”, Alexandria Engineering Journal, vol. 72, pp. 673-693,2023.
           Link : https://www.sciencedirect.com/science/article/pii/S1110016823002806 

2.    Sathishkumar V E, Yongyun Cho, “MRMR-EHO-Based Feature Selection Algorithm for Regression Modelling”, Tehnički vjesnik, vol. 30, pp. 574-583, 2023.
Link: https://hrcak.srce.hr/en/294390 

3.    Sathishkumar V E, Jaehyuk Cho, Malliga Subramanian, Obuli Sai Naren, “Forest fire and smoke detection using deep learning-based learning without forgetting”, Fire Ecology, 2023.
Link: https://fireecology.springeropen.com/articles/10.1186/s42408-022-00165-0  
4.    Kogilavani, Shanmugavadivel, Sathishkumar V E, Jaehyuk Cho, Malliga Subramanian, “Advancements in computer-assisted diagnosis of Alzheimer's disease: A comprehensive survey of neuroimaging methods and AI techniques for early detection”, Ageing Research Reviews, vol. 91, 102072, 2023.
Link: https://www.sciencedirect.com/science/article/pii/S1568163723002313 

5.    Sathishkumar V E, R. Vadivel, Jaehyuk Cho, Nallappan Gunasekaran, ” Exploring the finite-time dissipativity of Markovian jump delayed neural networks”, Alexandria Engineering Journal, vol. 79, pp. 427-437,2023.
           Link : https://www.sciencedirect.com/science/article/pii/S1110016823006634 

6.    Sathishkumar V E, Changsun Shin, Yongyun Cho,”Efficient energy consumption prediction model for a data analytic-enabled industry building in a smart city”, Building Research & Information, vol. 49. no. 1, pp. 127-143, 2021.
Link:  https://www.tandfonline.com/doi/abs/10.1080/09613218.2020.1809983 

7.    Sathishkumar V E, Jangwoo Park, Yongyun Cho, ”Seoul Bike Trip duration prediction using data mining techniques”, IET Intelligent Transport Systems, vol. 14, no. 11, pp. 1465-1474, 2020.
Link:  https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-its.2019.0796 

8.    Sathishkumar V E, Jangwoo Park, Yongyun Cho, “Using data mining techniques for bike sharing demand prediction in Metropolitan city”, Computer Communications, vol. 153, pp. 353-366, 2020.
Link:  https://www.sciencedirect.com/science/article/abs/pii/S0140366419318997 

9.    Sathishkumar V E, Yongyun Cho, “Season wise bike sharing demand analysis using random forest algorithm”, Computational Intelligence, pp. 1-26, 2020.
Link :  https://onlinelibrary.wiley.com/doi/abs/10.1111/coin.12287?af=R 

10.    Sathishkumar V E, Yongyun Cho, “A rule-based model for Seoul Bike sharing demand prediction using Weather data”, European Journal of Remote Sensing, Vol. 52, no. 1, pp. 166-183, 2020.
Link:  https://www.tandfonline.com/doi/full/10.1080/22797254.2020.1725789