Education

• Ph.D. (University of Miami, USA)

Interests

• Machine Learning/Data Mining
• Data Quality Management
• Interdisciplinary Data Mining: Hydrological Data, Medical Data, EEG Data, Twitter Data
• Big Data Analysis

Teaching

• 2110215 Programming Methodology
• 2110251 Digital Computer Logic
• 2110263 Digital Computer Logic Lab
• 2110497 Special Problem in Computer Engineering (Data Warehouse)

Journal Articles

• SareewanDendamrongvit, PeeraponVateekul, and MiroslavKubat, “Irrelevant Features and Imbalanced Classes in Multi-label Text-Categorization Domains,” Intelligent Data Analysis, 2011.
• PeeraponVateekul, SareewanDendamrongvit, and MiroslavKubat, “Improving SVM Performance in Multi-Label Domains: Threshold Adjustment,” International Journal on Artificial Intelligence Tools, 2013.
• PeeraponVateekul, MiroslavKubat, and KanoksriSarinnapakorn, “Top-Down Optimized SVMs for Hierarchical Multi-Label Classification: a Case Study in Gene Function Prediction,” Intelligent Data Analysis, 2014.

Conferences/Workshops

• PeeraponVateekul and ArnonRungsawang, “Increasing Foreign Web Access Speed using Grid Based Routing Proxy,” In the National Computer Science and Engineering Conference (NCSEC2003), Chiangmai, Thailand.
• PeeraponVateekul and ArnonRungsawang, “DWORM: Distributed Text Retrieval Prototype on Grid Computing Environment,” In the 4th International Symposium on Communications and Information Technology, (ISCIT2004), Sapporo, Japan.
• PeeraponVateekul and Mei-Ling Shyu, “A Conflict-Based Confidence Measure for Associative Classification,” In the Proceedings of the 2008 IEEE International Conference on Information Reuse and Integration (IEEE IRI-08), Las Vegas, Nevada, USA, July 13-15, 2008.
• PeeraponVateekul and MiroslavKubat, “Fast Induction of Multiple Decision Trees in Text Categorization From Large Scale, Imbalanced, and Multi-label Data,” In the Proceedings of the 2009 IEEE International Conference on Data Mining Workshops (ICDMW’09), Miami, FL, USA, Dec 6-9, 2009.
• PeeraponVateekul and KanoksriSarinnapakorn, “Tree-based Approach to Missing Data Imputation,” In the Proceedings of the 2009 IEEE International Conference on Data Mining Workshops (ICDMW’09), Miami, FL, USA, Dec 6-9, 2009.
• Thanasoontorn, S. Saran, P. Maleehuan, P. Kanongchaiyos, P. Vateekul and et al., “Kinect-based Gait Capture and Analysis System,” In 5th AUN/SEED-Net Regional Conference on Information and Communications Technology (Manila Philippines, 2012)
• Thanasoontorn, P. Vateekul, P. Kanongchaiyos and et al., “Tree Induction for Diagnosis on Movement Disorders Using Gait Data,” In 5th International Conference on Knowledge and Smart Technology (Chonburi, Thailand, 2013), 47-52.
• Markpeng, P. Wongnimmarn, N. Champreeda, P. Vateekul, and K. Sarinnapakorn, “Controlling Quality of Water-Level Data in Thailand,” In 6th Conference on Intelligent Information and Database Systems (Bangkok, Thailand, 2014), 503-512.
• Ananpiriyakul, P. Poomsirivilai, P. Vateekul, “An Implementation of Hierarchical Multi-Label Classification System,” In 4th IEEE Thailand Student Conference on Senior Capstone Project (IEEE Thailand SCAP 2014)(Chonburi, Thailand, March 28, 2014).
• Ananpiriyakul, P. Poomsirivilai, P. Vateekul, “Label Correction Strategy on Hierarchical Multi-Label Classification,” In 10th International Conference on Machine Learning and Data Mining MLDM 2014.
• Phachongkitphiphat and P. Vateekul, “An Improvement of Flat Approach on HierarchicalText Classification Using Top-Level PruningClassifiers,” in The 11th International Joint Conference on Computer Science and Software Engineering (JCSSE), Chonburi, Thailand, 2014, 86-90.
• Wichakam and P. Vateekul, “An Evaluation of Feature Extraction in EEG-Based Emotion Prediction with Support Vector Machines,” in The 11th International Joint Conference on Computer Science and Software Engineering (JCSSE), Chonburi, Thailand, 2014, 86-90.
• Vateekul, N.Thammasan, K. Fukui, K. Moriyama, and M.Numao. “Item-Based Learning for Music Emotion Prediction Using EEG Data”, In 5th International Workshop on Empathic Computing (IWEC-14), pp. 87-98, Gold Coast, Australia, Dec. 2014.
• Choeikiwongand P. Vateekul, “Software Defect Prediction Using Unbiased Support Vector Machine,” Information Science and Applications (ICISA), 2015 International Conference on, 24-26February 2014