About Me
Educational Qualifications
PhD (Industrial Data Science and Engineering)
Pukyong National University and Pusan National University (Joint Program)
Sep 2021 - Aug 2024
Busan, South Korea
MSc (Biostatistics)
Jimma University
Oct 2010 - Oct 2012
Jimma, Ethiopia
BSc (Statistics)
University of Gondar
Nov 2005 - Aug 2008
Gondar, Ethiopia
Teaching
Courses Taught
- Advanced Biostatistics (SPHM 5011): 2019-2020
- Data Management and Statistical Software (PhFe7027): 2020
- Biostatistics and Epidemiology (PUHE 6122): 2020 – 2021
- Probability and Statistics for Engineers (Stat 201): 2020
- Statistics for Construction Management (CoTM 623): 2019
- Fundamentals of Biostatistics (Stat 1031): 2016 – 2017
- Statistical Computing I (Stat 2021): 2017
- Introduction to Probability (Stat 276): 2015-2016
- Introductory Multivariate Methods (Stat 3133): 2013, 2016 – 2017
- Statistical Quality Control (Stat 3082): 2013, 2015
- Categorical Data Analysis (Stat 3062): 2010, 2014 – 2016
- Statistics and Probability (Stat 2023): 2010, 2014 – 2015
- Operations Research (Stat 477): 2010
- Introduction/Basic Statistics (Stat 2081): 2009 – 2010, 2013 – 2018
- Introduction to Econometrics (Stat 332): 2009
Lecture Notes
Publications
Journal Articles
- Ebrie A.S., Paik C., Chung Y., and Kim Y. (2024) "Deep contextual reinforcement learning algorithm for scalable power scheduling," Applied Soft Computing, 167.
- Ebrie A.S. and Kim Y. (2024) "Reinforcement learning-based optimization for power scheduling with renewable energy connected grid," Renewable Energy, 230.
- Effendi Y., Sofiah A., Hidayat N., Ebrie A.S., and Hamzah Z. (2024) "Predicting vulnerability for brain tumor: Data-driven approach utilizing machine learning," Indonesian Journal of Electrical Engineering and Computer Science, 35(3).
- Ebrie A.S., Paik C., Chung Y., and Kim Y. (2024) "Reinforcement learning-based multi-objective optimization for generation scheduling in power systems," Systems, 12(3).
- Ebrie A.S. and Kim Y. (2024) "A multi-agent simulation-based optimization package for power scheduling," Software Impacts, 19.
- Ebrie A.S., Paik C., Chung Y., and Kim Y. (2023) "Environment-friendly power scheduling based on deep contextual reinforcement learning," Energies, vol. 16(16):5920.
- Angassa A., Solomon S., and Seid A. (2022) "Factors associated with dyslipidemia and its prevalence among awash wine factory employees, addis ababa, ethiopia: A cross-sectional study," BMC Cardiovascular Disorders, 22(1):22.
- Ebrie A.S. and Kim Y. (2022) "Investigating market diffusion of electric vehicles with experimental design of agent-based modeling simulation," Systems, 10(2):28.
- Seid A. (2015), "Multilevel modeling of the progression of HIV/AIDS disease among patients under haart treatment," Annals of Data Science, 2(2):217–230.
- Seid A., Getie M., Birlie B., and Getachew Y. (2014), "Joint modeling of longitudinal CD4 cell counts and time-to-default from haart treatment: A comparison of separate and joint models," Electronic Journal of Applied Statistical Analysis, 7(2):292–314.
Conference Proceedings
- October 17-18, 2024: "Reinforcement Learning for Power Generation Scheduling," in 4th International Conference on Advanced Technology and Multidiscipline (ICATAM), Universitas Airlangga, Indonesia (Vertual).
- August 29 – 31, 2023: "Deep contextual reinforcement learning approach to economical and environmentally friendly power scheduling," in 17th International Conference on Innovative Computing, Information and Control (ICICIC2023), Kumamato, Japan.
- May 31 – June 03, 2023: "Deep contextual reinforcement learning for solving unit commitment problem," in Korea Society of Industrial Science and Technology, and Korea Society of Business Administration Joint Spring Conference, Jeju, South Korea.
- June 01 – 04, 2022: "Agent-based modeling for market penetration of electric vehicles," in Korea Management Science Association and Korean Industrial Engineering Association Spring Joint Academic Conference, Jeju, South Korea.
- July 31 – August 02, 2014: "Joint modelling of longitudinal CD4 cell counts and time-to-default from highly active antiretroviral therapy (haart) treatment: A comparison of separate and joint models," in The 4th ISIbalo Young African Statisticians Conference (IYASC): Young African Statisticians Staking Their Claim in Unleashing the Power of Statistics in Exposing and Disposing of Inequality Post2015, Pretoria, South Africa.
Academic Works
Contact
R603-B10
Pusan National Unviersity
South Korea