Welcome to all

Chitsutha (Cat) Soomlek, Ph.D

Assistant Professor

Department of Computer Science,  College of Computing,   Khon Kaen University

 Khon Kaen, Thailand

  Tel: +66-4336-2188-90 ext. 306  

  Fax: +66-4334-2910

  Email: chitsutha (AT) kku.ac.th   

Education

• Doctor of Philosophy in Electronic Systems Engineering, University of Regina, Canada. (June 2013).

  • Thesis: An Agent-Based Wellness Visualization System

• Master of Applied Science in Electronic Systems Engineering, University of Regina, Canada. (January 2007).

  • Thesis: Agent-Based Framework for Network Intrusion Detection Systems

• Bachelor of Engineering in Computer Engineering, King Mongkut's Institute of Technology Ladkrabang (KMITL), Bangkok, Thailand. (April 2004).

Industry-Recognized Certification

• January 2021 - HST.953x: Collaborative Data Science for Healthcare, MITx on edX

• July 2018 - Agile Testing for the Whole Team, Agile Testing Fellowship and Siam Chamnankit, Co., Ltd.

• January 2017 - Applying Kanban (KMP Foundation I), LeanKanban University

• September 2014 - Certified Scrum Master (CSM), Scrum Alliance

• February 2014 - Certified Scrum Product Owner (CSPO), Scrum Alliance

• January 2014 - Microsoft Certified Professional, Microsoft Technology Associate (MTA) in Security Fundamental

Research Area

• Computational Intelligence for Software Engineering and Secure Software Development

• Code Smells and Software Quality

• AI4SE and SE4AI

• Empirical and Experimental Software Engineering

• Secure Software Engineering

Publications

• P. Sukkasem, C. Soomlek, C. Dechsupa, "LLM-Based Code Comment Summarization: Efficacy Evaluation and Challenges," 2025 17th International Conference on Knowledge and Smart Technology (KST), Bangkok, Thailand, pp. 335-340, doi: 10.1109/KST65016.2025.11003343.

• P. Duankhan, K. Sunat and C. Soomlek, "An Adaptive Smell Agent Optimization with Binomial Crossover and Linnik Flight for Engineering Optimization Problems," 2024 28th International Computer Science and Engineering Conference (ICSEC), Khon Kaen, Thailand, 2024, pp. 1-6, doi: 10.1109/ICSEC62781.2024.10770710.

• E. D. Oktaviyani, P. Seresangtakul, P. Janyoi and C. Soomlek, "Automated Sequence Labeling for Causality Extraction in Medical Domain," 2024 28th International Computer Science and Engineering Conference (ICSEC), Khon Kaen, Thailand, 2024, pp. 1-6, doi: 10.1109/ICSEC62781.2024.10770737.

• R. Phann, C. Soomlek, P. Janyoi and P. Seresangtakul, "Multi-Class Text Classification on Khmer News Articles Using Deep Learning Models with Optimal Hyperparameters," 2024, ICIC Express Letters: An International Journal of Research and Surveys, vol. 18, no. 6, pp. 541-550. doi: 10.24507/icicel.18.06.541.

• P. Sukkasem and C. Soomlek, “Exploration of the feasibility and applicability of domain adaptation in machine learning-based code smell detection,” in Data Science and Artificial Intelligence, C. Anutariya and M. M. Bonsangue, Eds. Singapore: Springer Nature Singapore, 2023, pp. 74–87. https://doi.org/10.1007/978-981-99-7969-1_6 .

• P. Sukkasem and C. Soomlek, "Enhanced Machine Learning-Based Code Smell Detection Through Hyper-Parameter Optimization," 2023 20th International Joint Conference on Computer Science and Software Engineering (JCSSE), Phitsanulok, Thailand, 2023, pp. 297-302, doi: 10.1109/JCSSE58229.2023.10202124.

• R. Phann, C. Soomlek, and P. Seresangtakul, "Multi-Class Text Classification on Khmer News Using Ensemble Method in Machine Learning Algorithms,"  in Acta Informatica Pragensia, Prague University of Economics and Business, 2023, vol. 12, no. 2, DOI:10.18267/j.aip.210.

• N. Vatanapakorn, C. Soomlek and P. Seresangtakul, "Python Code Smell Detection Using Machine Learning," 2022 26th International Computer Science and Engineering Conference (ICSEC), Sakon Nakhon, Thailand, 2022, pp. 128-133, DOI: 10.1109/ICSEC56337.2022.10049330.

• F. Y. Arini, K. Sunat and C. Soomlek, "Golden Jackal Optimization with Joint Opposite Selection: An Enhanced Nature-Inspired Optimization Algorithm for Solving Optimization Problems," in IEEE Access, 2022, DOI: 10.1109/ACCESS.2022.3227510.

• P. Wongpraomas, C. Soomlek, W. Sirisangtragul and P. Seresangtakul, "Thai Question-Answering System Using Pattem-Matching Approach," 2022 1st International Conference on Technology Innovation and Its Applications (ICTIIA), 2022, pp. 1-5, DOI: 10.1109/ICTIIA54654.2022.9935927.

• C. Soomlek, K. Kamtuo, and E. Boonchieng, "Sound and Precise Analysis of Web Applications for Injection Vulnerabilities," in IoT and AI Technologies for Sustainable Living: A Practical Handbook (1st ed.). CRC Press, 2022, ISBN: 9781003051022, https://doi.org/10.1201/9781003051022.

• F. Y. Arini, S. Chiewchanwattana, C. Soomlek, and K. Sunat, “Joint opposite selection (JOS):A  premiere  joint  of  selective  leading  opposition  and  dynamic  opposite  enhanced  Harris’  hawks optimization for solving single-objective problems,” Expert Systems With Applications, vol. 188, p. 116001, 2022. (Download)

• C.  Soomlek,  J.  N.  van  Rijn,  and  M.  M.  Bonsangue,  “Automatic  human-like  detection  of  code smells,” in Discovery Science. DS 2021. Lecture Notes in Computer Science, vol. 12986.   Springer, Cham, 2021, pp. 19–28.

• C.  Anutariya,  M.  Bonsangue,  A.  Taufik  F.,  D.  Matthew,  K.  Fraidaki,  T.  Gomes,  F.  Hermans,S. Korkua, J. L. Monteiro, N. P. Utama, S. Pereira, A. Pinidiyaarachchi, S. Pinto, J. N. van Rijn,O. S. Sitompul, W. Songpan, C. Soomlek, F. Takes, S. Verberne, and C. Wickramarachchi, “Building a needs-based curriculum in data science and artificial intelligence: Case studies in Indonesia, Sri  Lanka,  and  Thailand,”  in Proceedings  of  the  International  Conference  on  Active  Learning  in Engineering Education (PAEE/ALE), 2020, pp. 97–104.

• W. Siriboonpipattana, C. Soomlek, and P. Seresangtakul, “Increasing the input data length of RSA cryptosystem by applying a hybrid lossless data compression algorithm,” in Journal  of  Physics: Conference Series, vol. 1502, no. 1.    IOP Publishing, 2020, pp. 1–9, DOI: 10.1088/1742-6596/1502/1/012036.

• A. Pathanasethpong, C. Soomlek, K. Morley, M. Morley, P. Polpinit, A. Dagan, J. W. Weis, andL. A. Celi, “Tackling regional public health issues using mobile health technology: event report of an mhealth hackathon in Thailand,” JMIR  mHealth  and  uHealth, vol. 5, no. 10, p. e8259, 2017, DOI: 10.2196/mhealth.8259.

• N. Sangkla, K. Sangkhapat, T. Rattanachai, T. G. Nguyen, K. Rujirakul, C. Soomlek, and C. So-In, “Performance analysis of video transmission over IEEE802. 11n wireless networks,” Journal of Telecommunication, Electronic and Computer Engineering (JTEC), vol. 9, no. 2-2, pp. 35–40,2017.

• K. Kamtuo and C. Soomlek, “Machine learning for SQL injection prevention on server-side scripting,” in 2016 International Computer Science and Engineering Conference (ICSEC).  IEEE, 2016, pp. 1–6.

• K. Sirikul and C. Soomlek, “Automated detection of code smells caused by null checking conditions in Java programs,” in 2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE).    IEEE, 2016, pp. 1–7.

• C. Soomlek, N. Kaewchainam, T. Simano, and C. So-In, “Using backpropagation neural networks for flood forecasting in Phranakhon Si Ayutthaya, Thailand,” in 2015 International Computer Science and Engineering Conference (ICSEC).    IEEE, 2015, pp. 1–6.

• C. Soomlek, “Applying randori-style kata and agile practices to an undergraduate-level programming class,” in Agile Processes in Software Engineering and Extreme Programming: 16th International Conference, XP 2015, Helsinki, Finland, May 25-29, 2015, Proceedings, vol. 212. Springer, 2015, p. 369.

• C. Soomlek and L. Benedicenti, “Agent-based wellness indicator,” in Healthcare  Administration: Concepts, Methodologies, Tools, and Applications. IGI Global, 2015, pp. 559–590. 

• K. Udompongsuk, C. So-In, C. Phaudphut, K. Rujirakul, C. Soomlek, and B. Waikham, “MAP: An optimized energy-efficient cluster header selection technique for wireless sensor networks,” in Advances  in  Computer  Science  and  its  Applications. Springer,  Berlin,  Heidelberg,  2014,  pp.191–199.

• C.  Soomlek  and  L.  Benedicenti,  “An  agent-based  wellness  indicator:  experimental  results  and future directions,” Journal  of  Information  Technology  Research  (JITR), vol. 6, no. 2, pp. 1–23, 2013.

• C. Soomlek and L. Benedicenti, “Repeatable experimental framework for wellness indicator testing/evaluation: Environmental setup,” in The Fourth International Conference on eHealth, Telemedicine, and Social Medicine (eTELEMED2012), Valencia, 2012.

• C.  Soomlek  and  L.  Benedicenti,  “Creating  a  framework  for  testing  wellness  visualization  systems,”  in The  Third  International  Conference  on  eHealth,  Telemedicine,  and  Social  Medicine (eTELEMED2011). Guadeloupe, 2011. 

•  C. Soomlek and L. Benedicenti, “Operational wellness model: A wellness model designed for an agent-based wellness visualization system,” in 2010 Second International Conference on eHealth, Telemedicine, and Social Medicine.  IEEE, 2010, pp. 45–50.

•  L. Benedicenti and C. Soomlek, “An agent-based modeling system for wellness,” in Multi-agent systems for healthcare simulation and modeling: Applications for system improvement.  IGI Global, 2010, pp. 137–163, ISBN: 978-1-60566-772-0.

• C. Soomlek and L. Benedicenti, “Agent-based framework for network intrusion detection systems,” in Proceedings of the 2nd International Conference on Advances in Information Technology 2007 (IAIT2007), Bangkok, Thailand, 2007.

Book/e-book

ชิตสุธา สุ่มเล็ก (2563) ความมั่นคงเครือข่ายคอมพิวเตอร์และการเจาะระบบ (Computer network security and penetration testing), (for ebook)

Professional Services

• Editor Asia-Pacific Journal of Science and Technology (APST), the Research and Technology Transfer Affairs Division of Khon Kaen University, Thailand.

• Associate Editor ECTI Transactions on Computer and Information Technology (ECTI-CIT) Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI) Association, Thailand

Grants and Fellowships

• KKU Supporting Funds for Activities in Collaboration with Leading International Institutions (Top-300) 2024. 

  • The 2024 Emory Health AI BIas Summer School, Datathon, and Symposium. August 19-25, 2024. Atlanta, Georgia, United States

    • Presentation on "Fairness in AI-based Software Development from Software Engineering Perspective"

• KKU Supporting Funds for Activities in Collaboration with Leading International Institutions (Top-400) 2023. 

  • Research talk on ”AutoML and Metalearning for Neural Network Robustness Verification” and hands-on workshop on ”Automated Machine Learning using OpenML” at Khon Kaen University in collaboration with Asst.Prof. Jan N. van Rijn, Leiden Institute of Advanced Computer Science (LIACS), Leiden University, Leiden, The Netherlands.

• Visiting Assistant Professor, Constructor Institute Schaffhausen, Switzerland.

• KKU Outbound Visiting Scholar 2022, LIACS, Leiden University, The Netherlands.

• KKU Outbound Visiting Scholar 2020, LIACS, Leiden University, The Netherlands.

• Erasmus+ CBHE 2018 (Curriculum Development in Data Science and Artificial Intelligence/DS&AI)

• New Researcher Development Fund, KKU (Joint research funding from the Division of Research Administration and the Faculty of Science, Khon Kaen University).

• Publication grants and support, the Department of Computer Science, Khon Kaen University.

Scholarships and Awards

• 2024

  • Australia Awards Aus4ASEAN Short Course on Skills Forecasting for the Fourth Industrial Revolution, The Australian Department of Foreign Affairs and Trade, Australia

• 2008 – 2011 

  • TRLabs Telecommunications Research Graduate Scholarship, TRLabs, Regina.

• 2004 – 2010 

  • Royal Thai Scholarship, Civil Service Commission, Thailand.

• September – December 2009, May – August 2008, May-August 2005

  • FGSR-Graduate Research Award, University of Regina.

• May – August 2009, September – December 2008, January – April 2006

  • FGSR-Graduate Scholarship, University of Regina.

Invited Talks

• Panel Discussion on "Responsible AI: Prioritizing Patient Safety, Privacy, Benefits, and Potential Risks," Thailand Health AI Conference and Datathon 2023, Khon Kaen, Thailand, October 6th, 2023.

• Panel Discussion on "AI + Arts", The National and International Academic Conference on Fine and Applied Arts 2022, The Future of Arts: The Challenges to Artists, September 4th, 2022. 

• Web Security Monitoring (Phishing and Hacking Case Studies), Khon Kaen University, Thailand, September 14-16th, 2015