Chumphol Bunkhumpornpat Assistant Professor Department of Computer Science Faculty of Science Chiang Mai University e-mail: chumphol.b@cmu.ac.th

Education

• Ph.D. (Computer Science), Chulalongkorn University. 2012
• M.S. (Computer Science), Chiang Mai University. 2004
• B.Eng. (Computer Engineering), Rangsit University. 2001

Teaching History

• 204101: Introduction to Computer
• 204217: Computer Programming Languages
• 204231: Computer Organization and Architecture
• 204315: Organization of Programming Languages
• 204331: Data Communication and Computer Networks
• 204452: Theory of Computation
• 204453: Pattern Recognition
• 204753: Computational Theory
• 204774: Data Mining

Research

• Pattern Recognition
• Data Science

Funding

• 21st Century Skills Professional Development for CMU Instructors on Innovative Learning Management. Teaching and Learning Innovation Center, Chiang Mai University. 2016, 2017, 2020
• Faculty of Science Research Fund. Chiang Mai University. 2006, 2012, 2020
• Government Budget Research Grant. NRCT: National Research Council of Thailand. 2017
• Research Grant for New Scholar. TRF: Thailand Research Fund. 2013, 2016
• Academic Support Grant. Department of Computer Science, Faculty of Science, Chiang Mai University. 2014, 2015
• Academic Support Grant. Biostatistics and Bioinformatics Cluster, Faculty of Science, Chiang Mai University. 2014
• Chiang Mai University Research Fund. Research Administration Center, Chiang Mai University. 2014

Publications

Journals

1. Bunkhumpornpat, C., Sinapiromsaran, K.: DBMUTE: density-based majority under-sampling technique. Knowledge and Information Systems (KAIS), vol. 50, no. 3, pp. 827--850. 2017
2. Bunkhumpornpat, C., Chouvatut, V., Rattanaudomsawat, S.: Rotation Algorithms for Balancing Search Trees. ECTI Transactions on Computer and Information Technology (ECTI-CIT), vol. 10, no. 1, pp. 26--32. 2016
3. Bunkhumpornpat, C., Sinapiromsaran, K.: CORE: Core-based Synthetic Minority Over-sampling and Borderline Majority Under-sampling Technique. International Journal of Data Mining and Bioinformatics (IJDMB), vol. 12, no. 1, pp. 44--58. 2015
4. Bunkhumpornpat, C., Sinapiromsaran, K.: Safe Level Graph for Majority Under-sampling Techniques. Chiang Mai Journal of Science (CMJS), vol. 41, no. 5/2, pp. 1419--1428. 2014
5. Bunkhumpornpat, C., Sinapiromsaran, K., Lursinsap, C.: DBSMOTE: Density-Based Synthetic Minority Over-sampling TEchnique. Applied Intelligence (APIN), vol. 36, no. 3, pp. 664--684. 2012

Lecture Notes

1. Takum, J., Bunkhumpornpat, C.: Parameter-Free Imputation for Imbalance Datasets. In: Tuamsuk, K. (eds.) 16th International Conference on Asia-Pacific Digital Libraries (ICADL). Chiang Mai, Thailand. Lecture Notes in Computer Science (LNCS), vol. 8839, pp. 260--267. Springer, Switzerland. 2014
2. Bunkhumpornpat, C., Sinapiromsaran, K., Lursinsap, C.: Safe-Level-SMOTE: Safe-Level-Synthetic Minority Over-sampling TEchnique for handling the class imbalanced problem. In: Theeramunkong, T., Kijsirikul, B., Cercone, N., Ho, T.-B. (eds.) 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). Bangkok, Thailand. Lecture Notes in Artificial Intelligence (LNAI), vol. 5476, pp. 475--482. Springer, Heidelberg. 2009

Proceedings

1. Bunkhumpornpat, C., Subpaiboonkit, S.: Safe Level Graph for Synthetic Minority Over-sampling Techniques. In: 13th International Symposium on Communications and Information Technologies (ISCIT), pp. 570--575. Samui Island, Thailand. 2013
2. Bunkhumpornpat, C., Sinapiromsaran, K., Lursinsap, C.: MUTE: Majority Under-sampling Technique. In: 8th International Conference on Information, Communications, and Signal Processing (ICICS), pp. 1--4. Singapore. 2011
3. Kantabutra, S., Bunkhumpornpat, C.: Two Birds With One Stone: A Similarity-Guaranteed Clustering Algorithm and Its Search Tree. In: IEEE TENCON 2004, pp. 251--254. Chiang Mai, Thailand. 2004

National Conferences

1. Winyarat, B., Sangyod, H., Jumpamule, W., Bunkhumpornpat, C.: Decision Support Model for Internship Position Selection Based on Academic Results of Compulsory Major Subjects Using Data Mining. In: 17th National Conference on Computing and Information Technology (NCCIT), Article in Press. Bangkok, Thailand. 2021
2. Jaidee, W., Bunkhumpornpat, C.: A Predictive Model for On-time Graduation Using SMOTE Technique and Ensemble Model on Imbalanced Datasets for Graduation Data. In: 12th RMUTTO Research Conference, pp. 325--335. Chon Buri, Thailand. 2019
3. Bunkhumpornpat, C., Rattanaudomsawat, S.: Improved Performance of Similarity-Guaranteed Clustering Algorithm and Its Search Tree for Handling a Decreased Weight. In: 9th National Computer Science and Engineering Conference (NCSEC), pp. 155--160. Bangkok, Thailand. 2005
4. Bunkhumpornpat, C.: Plane Minimal Spanning Tree-Vertex Removing Algorithm. In: 1st Thailand Computer Science Conference (ThCSC), pp. 329--336. Bangkok, Thailand. 2004