Asst. Prof. Ekarat Rattagan, Ph.D.

About

I received a Bachelor of Architecture (B.Arch.) from Chulalongkorn University in 1999, an M.S. degree in Information Technology from King Mongkut's University of Technology Thonburi (KMUTT), Bangkok, Thailand, in 2003, and a Ph.D. in Electrical Engineering and Computer Science from National Chiao Tung University, Taiwan, in 2016, where I was fortunate to be advised by Prof. Ying-Dar Lin. My research interests include mobile devices and systems, AI/ML, and video games.

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Workshop

Publications

Working Papers

• WP1 Noawaroongroj P. and Rattagan E., Comparing PPO and A2C Algorithm for Game Levels Generation using Reinforcement Learning (11 July 2023). PDF

Patents

• P1 Ekarat Rattagan, Ying-Dar Lin, Yuan-Cheng Lai, Kate Ching-Ju Lin, Symbolic Regression and Clustering for Power Consumption Estimation on Smartphone Hardware Subsystem, Taiwan Patent I512451 PDF

Journal Articles

• J6 Sitsuksai, V., & Rattagan, E. (2023). Analyzing Influential Factors on the Recovery Time of Non-Performing Loans: A Time Series and Machine Learning Approach. ECTI Transactions on Computer and Information Technology (ECTI-CIT), 17(4), 522-532.
• J5 Chian Techapanupreeda, Ekarat Rattagan, Werasak Kurutach, A Transaction Security Accountability Protocol for Electronic Health Systems. Int. Arab J. Inf. Technol. (2022).
• J4 Hesham El-Sayed, Sharmi Sankar, Yousef-Awwad Daraghmi, Prayag Tiwari, Ekarat Rattagan, Manoranjan Mohanty, Deepak Puthal, Mukesh Prasad: Accurate Traffic Flow Prediction in Heterogeneous Vehicular Networks in an Intelligent Transport System Using a Supervised Non-Parametric Classifier. Sensors 18(6): 1696 (2018)
• J3 Ekarat Rattagan, Ying-Dar Lin, Yuan-Cheng Lai, Edward T.H. Chu, and Kate Ching-Ju Li, Clustering and Symbolic Regression for Power Consumption Estimation on Smartphone Hardware Subsystems. IEEE Transactions on Sustainable Computing, 2018.
• J2 Ekarat Rattagan, Edward T.-H. Chu, Ying-Dar Lin, Yuan-Cheng Lai, Semi-online Power Estimation for Smartphone Hardware Components. IEEE Transactions on Sustainable Computing, 2016.
• J1 Ying-Dar Lin, Ekarat Rattagan, Yuan-Cheng Lai, Li-Pin Chang, Yun-Chien Yo, Cheng-Yuan Ho, and Shun-Lee Chang, Calibrating Parameters and Formulas for Process-level Energy Consumption Profiling in Smartphones. Journal of Network and Computer Applications, Vol. 44, Sep. 2014.

Conference Papers

• C3 C. Ekarittikrai and E. Rattagan, Enhancing Market Making Strategies with Deep Reinforcement Learning-Based Quoting Decisions. 2024 21st International Joint Conference on Computer Science and Software Engineering (JCSSE), Phuket, Thailand, 2024, pp. 324-329
• C2 Ekarat Rattagan, Wi-Fi Usage Monitoring and Power Management Policy for Smartphone Background Applications. Management and Innovation Technology International Conference (MITicon), Bang-Saen, Thailand, 12-14 October 2016.
• C1 Ekarat Rattagan, Edward T.-H. Chu, Ying-Dar Lin, Yuan-Cheng Lai, Semi-online Power Estimation for Smartphone Hardware Components. SIES (10th IEEE International Symposium on Industrial Embedded Systems), Siegen, Germany, 8-10 June 2015.

More Publications

Experimental Games

itch.io Profile

Contact

Email: ekarat [at] as [dot] nida.ac.th