Sathishkumar V E is a Postdoctoral researcher
in the Department of Industrial Engineering, Hanyang University, Seoul,
Republic of Korea. Previously he was with the Department of Computer Science
and Engineering, Kongu Engineering College, India as an Assistant Professor. He
received his Doctoral degree from Sunchon National University in 2021. He
received his Bachelor's degree in Information Technology from Madras Institute
of Technology, Anna University in 2013 and Master's degree in Biometrics and Cyber
Security from PSG College of Technology in 2015. He worked as a Research
Associate in VIT University from 2015 to 2017. He received South Korea’s
prestigious Global Korean Scholarship for pursuing his doctoral degree. He is a
reviewer for more than 200 journals and has reviewed more than 2000 research
articles. He is currently serving as an academic editor for the journal PLOS
ONE. He published more than 50 research articles in reputed Journals and
Conferences. His research interests include Data Mining, Big data Analytics,
Cryptography, Digital Forensics and Computational Chemistry. |
- Sathishkumar V E, Changsun
Shin, Youngyun 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.
- Sathishkumar V E, Youngyun
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.
- Sathishkumar V E, Jangwoo
Park, Youngyun Cho, “Seoul Bike Trip duration prediction using data
mining techniques”, IET Intelligent Transport Systems, Vol.
14, no. 11, pp. 1465-1474, 2020.
- Sathishkumar V E, Jangwoo
Park, Youngyun Cho, “Using data mining techniques for bike sharing
demand prediction in Metropolitan city”, Computer
Communications, Vol. 153, pp. 353-366, 2020.
- Sathishkumar V E, Yongyun
Cho, “Season wise bike sharing demand analysis using random forest
algorithm”, Computational Intelligence, pp. 1-26, 2020.
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