Asst. Prof. Ekarat Rattagan, Ph.D.

Associate Dean for Administrative Affairs

Director of Master of Science in Data Analytics and Data Science (DADS)

Graduate School of Applied Statistics, NIDA, Bangkok, Thailand (CV)

ผศ.ดร. เอกรัฐ รัฐกาญจน์

รองคณบดีฝ่ายบริหาร และ ผู้อำนวยการหลักสูตรการวิเคราะห์ข้อมูลและวิทยาการข้อมูล

คณะสถิติประยุกต์ สถาบันบัณฑิตพัฒนบริหารศาสตร์ (นิด้า)

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.

  1. Publications

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

  1.2 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

  1.3 Journal
  [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.

  1.4 Conference
  [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.
  
  1.5 More publications
  Google Scholar
  ResearchGate
  DBLP
  

My Experimental Games

Candy Crush Clone

Hit mule

Contact

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

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