ประวัติการศึกษา
ระดับปริญญาเอก
สาขาวิชา: Computer Science
มหาวิทยาลัย: University of Alabama, USA
ระดับปริญญาโท
สาขาวิชา: Computer Science
มหาวิทยาลัย: Vanderbilt University, USA
ระดับปริญญาตรี
สาขาวิชา: Computer Science
มหาวิทยาลัย: Thammasat Univerisity, Thailand
ประวัติการทำงาน
| ระยะเวลา | ตำแหน่ง |
| 2018 – 2022 | รองประธานหลักสูตรวิทยาศาสตรบัณฑิต สาขาวิชาวิทยาการคอมพิวเตอร์ (หลักสูตรภาษาอังกฤษ) คณะเทคโนโลยีสารสนเทศ มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าธนบุรี |
| 2012 – 2019 | Head of Data and Knowledge Engineering Laboratory (D-Lab), School of Information Technology, King Mongkut’s University of Technology Thonburi |
| 2007 – 2009 | Chairperson of B.Sc.(Computer Science – English Program), School of Information Technology, King Mongkut’s University of Technology Thonburi |
| 2006 – Present | Assistant Professor of School of Information Technology, King Mongkut’s University of Technology Thonburi |
| 2001 – Present | Lecturer, School of Information Technology, King Mongkut’s University of Technology Thonburi |
| 1998 – 2001 | Teaching Assistant (CS116 C++ Labs), Department of Computer Science, The University of Alabama |
| 1997 – 1998 | Graduate Assistant (Webmaster), The Graduate School, The University of Alabama. |
| 1992 – 1993 | Programmer/Analyst, TelecomAsia Corp., Bangkok, Thailand. |
ความเชี่ยวชาญ
Data ScienceData MiningMachine LearningArtificial IntelligenceVisualizationIntelligent SystemsBioinformatics
Publications
P. Suntichaikul, P. Taveekitworachai, C. Nukoolkit and R. Thawonmas, “Temporal Collage Prompting: A Cost-Effective Simulator-Based Driving Accident Video Recognition With GPT-4o,” 2024 8th International Conference on Information Technology (InCIT), Chonburi, Thailand, 2024, pp. 708-713, doi: 10.1109/InCIT63192.2024.10810536.
P. Taveekitworachai, P. Suntichaikul, C. Nukoolkit and R. Thawonmas, Speed Up! Cost-Effective Large Language Model for ADAS Via Knowledge Distillation, 2024 IEEE Intelligent Vehicles Symposium (IV), Jeju Island, Korea, Republic of, 2024, pp. 1933-1938, doi: 10.1109/IV55156.2024.10588799.
Chanmas, G., Taveekitworachai, P., You, X., Thawonmas, R., Nukoolkit, C., and Dajpratham, P., 2024, ” Driving assistant using generative AI pre-generated messages in simulator-based driving assessment: A step towards low-cost simulator-based driving assessment”, in The Heliyon,: Aug30, 2024, Netherlands, Vol.10, Issue16, pp.1-12, https://doi.org/10.1016/j.heliyon.2024.e35941, ISSN: 24058440, Elsevier B.V.
Taveekitworachai, P., Chanmas, G., Paliyawan, P., Thawonmas, R., Nukoolkit, C., Dajpratham, P., and Thawonmas, R., (2024), A systematic review of major evaluation metrics for simulator-based automatic assessment of driving after stroke, Heliyon, Vol.10, Issue 12, : Jun 30, 2024, Netherlands, pp.1-18, https://doi.org/10.1016/j.heliyon.2024.e32930
Sukreep, S., Nukoolkit, C., Yamsaengsung, S., Khajontantichaikun, T., Mongkolnam, P., Jaiyen, S., Chongsuphajaisiddhi, V., and Dajpratham, P., 2023, Recognizing Fall Risk Factors with Convolutional Neural Network, International Joint Conference on Computer Science and Software Engineering, (JCSSE), 20th, Jun 28- Jul 01, 2023, Phitsanulok, THAILAND, pp.391- 396. DOI: 10.1109/JCSSE58229.2023.10202147
Chanmas, G., Taveekitworachai, P., Paliyawan, P., Thawonmas, R., Thawonmas, R., Nukoolkit, C., and Dajpratham, P., 2023, Driving scenarios and environmental settings in simulator-based driving assessment systems for stroke: a systematic review, TOPICS IN STROKE REHABILITATION, Vol.30, Issue 2, Jan 8,2023, United Kingdom, pp.1-10. DOI: 10.1080/10749357.2023.2165273.
Saithong, T., Ruengsrichaiya, B., Kalapanulak, S., and Nukoolkit, C., 2022, Extension of Transcriptional Regulator Resource in Cassava by Machine Learning Based Modeling , Asian-Pacific Federation for Information Technology in Agriculture, (APFITA), 13th , Nov 24-26, 2022, Hanoi, Vietnam, pp.341.
Ruengsrichaiya, B., Nukoolkit, C., Kalapanulak, S., and Saithong, T., 2022, Plant-DTI: Extending the landscape of TF protein and DNA interaction in plants by a machine learning-based approach, Frontiers in Plant Science, Aug 23, 2022, Switzerland, pp.01-16. DOI: 10.3389/fpls.2022.970018
Jirathampradub, H., Nukoolkit, C., Suriyathumrongkul, K., and Watanapa, B., 2020, A 3D-CNN Siamese Network for Motion Gesture Sign Language Alphabets Recognition, International Conference on Advances in Information Technology, (IAIT), 11th, Jul 01-03, 2020, Bangkok, Thailand, pp.1-6. https://dl.acm.org/doi/pdf/10.1145/3406601.3406634
Lawanot, W., Inouey, M., Yokemura, T., Mongkolnam, P., and Nukoolkit, C., 2019, Daily Stress and Mood Recognition System Using Deep Learning and Fuzzy Clustering for Promoting Better Well-Being, IEEE International Conference on Consumer Electronics, (ICCE), Jan 11-13, 2019, Las Vegas, USA, pp.1-6. DOI: 10.1109/ICCE.2019.8661932
Sukreep, S., Elgazzar, K., Chu, H., Mongkolnam, P., and Nukoolkit, C., 2019, iWatch: A Fall and Activity Recognition System Using Smart Devices, International Journal of Computer and Communication Engineering, Vol.8, No.1, Jan 01, 2019, pp.18-31. DOI: 10.17706/ijcce.2019.8.1.18-31
Sukreep, S., Elgazzar, K., Chu, C.H., Nukoolkit, C., and Mongkolnam, P., 2019, Recognizing Falls, Daily Activities, and Health Monitoring by Smart Devices, Sensors and Materials, Vol.31, No.6, Jun 6, 2019, pp.1847-1869. https://doi.org/10.18494/SAM.2019.2308
Sukreep, S., Nukoolkit, C., and Mongkolnam, P., 2019, Indoor Position Detection Using Smartwatch and Beacons, Sensors and Materials, Vol.32, No.2, Oct 31, 2019, MYU Tokyo, pp.455-473. https://doi.org/10.18494/SAM.2020.2386
Lawanont, W., Inoue, M., Mongkolnam, P., and Nukoolkit, C., 2018, Neck Posture Monitoring System Based on Image Detection and Smartphone Sensors Using the Prolonged Usage Classification Concept, IEEJ Transactions on Electrical and Electronic Engineering, Jul 31, 2018, pp.1501-1510. DOI:10.1002/tee.22778
Lawanont, W., Mongkolnam, P., Nukoolkit, C., and Inoue, M., 2018, Daily Stress Recognition System Using Activity Tracker and Smartphone Based on Physical Activity and Heart Rate Data, International Conference on Intelligent Decision Technologies, (KES-IDT), Jun 20-22, 2018, Gold Coast, QLD, Australia, pp.11-21. https://link.springer.com/chapter/10.1007/978-3-319-92028-3_2
Watanapa, B., Patsadu, O., Dajpratham, P., and Nukoolkit, C. , 2018, Post-Fall Intelligence Supporting Fall Severity Diagnosis Using Kinect Sensor, Applied Computational Intelligence and Soft Computing, Vol.2018, Jun 3, 2018, pp.1-15. https://doi.org/10.1155/2018/5434897, Article ID 5434897
Patsadu, O., Watanapa, B., Dajpratham, P., and Nukoolkit, C., 2018, Fall Motion Detection with Fall Severity Level Estimation by Mining Kinect 3D Data Stream, International Arab Journal of Information Technology, Vol.15, No.3, May, 2018, pp.378-388. https://iajit.org/PDF/May%202018,%20No.%203/11239.pdf
Patsadu, O., Watanapa, B., and Nukoolkit, C., 2017, A Multiple-stage Classification of Fall Motions Using Kinect Camera, International Conference on Computing and Information Technology, (IC2IT), 13th, Jul 12-14, 2017, Bangkok, pp.118-129. DOI: 10.1007/978-3-319-60663-7_11
Mongkolnam, P., Booranrom, Y., Watanapa, B., Visutarrom, T., Chan, J.H., and Nukoolkit, C., 2017, Smart bedroom for the elderly with gesture and posture analyses using Kinect, Maejo International Journal of Science and Technology, Vol.11, Issue1, Jan 2017, pp.1-16. https://www.proquest.com/docview/1879966710/fulltext/E310D0F234094D99PQ/1?accountid=28819
Lawanont, W., Nukoolkit, C., Inoue, M., and Mongkolnam, P., 2016, A Comparison between Two Image Detection Algorithms on Neck Angle Detection and a Prolonged Usage Classification Concept, South East Asian Technical University Consortium Symposium, (SEATUC), 10th, Feb 22-24, 2016, Tokyo, Japan, pp.1-4. https://www.researchgate.net/publication/301619833
Krathu, W., Padungweang, P., and Nukoolkit, C., 2016, Data Mining Approach for Automatic Discovering Success Factors Relationship Statements in Full Text Articles, International Conference on Advanced Computational Intelligence, (ICACI), 8th, Feb 14-16, 2016, Chiang Mai, Thailand. DOI:10.1109/ICACI.2016.7449820
Sukreep, S., Mongkolnam, P., and Nukoolkit, C., 2015, Detect the Daily Activities and In-house Locations Using Smartphone, International Conference on Computing and Information Technology, (IC2IT), 11th, Jul 2-3, 2015, Bangkok, Thailand, pp.215-225. DOI: 10.1007/978-3-319-19024-2_22
อัญชฎา สิวะกรเสถียร, วิเชียร ชุติมาสกุล และชาคริดา นุกูลกิจ, 2015, The Measurement and Evaluation of Student’s Academic Record to the Learning Outcomes of Thailand Framework (การวัดและการประเมินผลการเรียนของนักศึกษาสู่ผลการเรียนรู้ตามกรอบมาตรฐานคุณวุฒิระดับอุดมศึกษาแห่งชาติ), วารสารไอซีทีศิลปากร (ICT Silpakorn Journal), ปีที่ 2 ฉบับที่ 2, กรกฎาคม-ธันวาคม 2558.
Lawanont, W., Mongkolnam, P. and Nukoolkit, C., 2015, Smartphone Posture Monitoring System to Prevent Unhealthy Neck Postures, International Joint Conference on Computer Science and Software Engineering, (JCSSE), 12th, Jul 22-24, 2015, Hat Yai, Songkhla, Thailand, pp.331-336. DOI: 10.1109/JCSSE.2015.7219819
Sukreep, S., Mongkolnam, P., and Nukoolkit, C. , 2015, Monitoring and Visualizing the Daily Activities and In-house Locations Using Smartphone, International Joint Conference on Computer Science and Software Engineering, (JCSSE), 12th, Jul 22-24, 2015, Hat Yai, Songkhla, Thailand, pp.291-296. DOI: 10.1109/JCSSE.2015.7219812
Paliyawan, P., Nukoolkit, C., and Mongkolnam, P., 2014, Office Workers Syndrome Monitoring Using Kinect, Asia-Pacific Conference on Communications, (APCC), 20th, Oct 1-3, 2014, Pattaya, Thailand, pp.58-63. DOI: 10.1109/APCC.2014.7091605
Paliyawan, P., Nukoolkit, C., and Mongkolnam, P., 2014, Prolonged Sitting Detection for Office Workers Syndrome Prevention Using Kinect, Annual International Conference of Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology Association of Thailand, (ECTI-CON), 11th, May 14-17, 2014, Nakhon Ratchasima, Thailand. DOI: 10.1109/ECTICon.2014.6839785
Lertampaiporn, S., Thammarongtham, C., Nukoolkit, C., Kaewkamnerdpong, B., and Ruengjitchatchawalya, M., 2014, Identification of non-coding RNAs with a new composite feature in the Hybrid Random Forest Ensemble algorithm, Nucleic Acids Research, Vol.42, Issue 11, Jun 17, 2014, pp.e93. DOI:10.1093/nar/gku325
Soontornwutikul, T., Thananart, N., Wantanareeyachart, A., Nukoolkit, C., and Arpnikanondt, C., 2013, Optical Music Recognition Software on Windows Phone 7, International Conference on Computing and Information Technology, (IC2IT), May 9-10, 2013, KMUTNB, Bangkok, Thailand , pp.239-248.
Patsadu, O., Nukoolkit, C., and Watanapa, B., 2012, Survey of Smart Technologies for Fall Motion Detection: Techniques, Algorithms and Tools, International Conference on Advances in Information Technology, (IAIT), 5th, Dec 6-7, 2012, Bangkok, Thailand, pp.137-147. DOI:10.1007/978-3-642-35076-4_13
Luangnapa, N., Silpavarangkura, T., Nukoolkit, C., and Mongkolnam, P., 2012, Optical Music Recognition on Android Platform, International Conference on Advances in Information Technology, (IAIT), 5th, Dec 6-7, 2012, Bangkok, Thailand, pp.106-115. DOI:10.1007/978-3-642-35076-4_10
Lertampaiporn, S., Thammarongtham, C., Nukoolkit, C., Kaewkamnerdpong, B., and Ruengjitchatchawalya, M., 2012, Heterogeneous ensemble approach with discriminative features and modified-SMOTEbagging for pre-miRNA classification, Nucleic Acids Research Advance Access (Oxford Journal), Sep 24, 2012, pp.1-12. https://doi.org/10.1093/nar/gks878
Patsadu, O., Nukoolkit, C., and Watanapa, B., 2012, Human Gesture Recognition Using Kinect Camera, International Joint Conference on Computer Science and Software Engineering, (JCSSE), 9th, May-Jun 2012, Bangkok, Thailand, pp.28-32. DOI: 10.1109/JCSSE.2012.6261920
Nukoolkit, C., Chansripiboon, P., Mongkolnam, P., and Todd, R.W., 2011, Text Cohesion Visualizer, International Conference on Computer Science and Education, (ICCSE), 6th, Aug 3-5, 2011, Singapore, pp.205-209. DOI: 10.1109/ICCSE.2011.6028618
Nukoolkit, C., Chansripiboon, P., and Sopitsirikul, S., 2011, Improving University e-Learning with Exploratory Data Analysis and Web Log Mining, International Conference on Computer Science and Education, (ICCSE), 6th, Aug 3-5, 2011, Singapore, pp.176-179. DOI: 10.1109/ICCSE.2011.6028611
Ronglong, S., Arpnikanondt, C., and Nukoolkit, C., 2010, Do in Thai Sense: Thailand’s First Online Social Network with Web 2.0 Platform, International Conference on ICT and Knowledge Engineering, 8th, Nov 24-25, 2010, Thailand, pp.25-31. DOI: 10.1109/ICTKE.2010.5692908
Panyayail, T., Ruengjitchatchawalya, M., Paithoonrangsarid, K., Nukoolkit, C., and Ruenglertpanyakul, W., 2009, Development of Codon Usage for Classification of Cyanobacteria, Annual Meeting and International Conference of Thai Society for Biotechnology, Biotechnology: A Solution to the Global Economic Crisis, (TSB), 21th, Sep 24-25, 2009, Queen Sirikit National Convention Center, Bangkok, Thailand, p.203.
Mongkolnam, P., Dechsakulthorn, T., and Nukoolkit, C., 2008, Extracting Structural Image Contents, IAENG International Conference on Imaging Engineering, (ICIE), Mar 19-21, 2008, Hong Kong, pp.617-622. http://www.iaeng.org/publication/IMECS2008/IMECS2008_pp617-622.pdf
Mongkolnam, P., Nukoolkit, C., and Dechsakulthorn, T., 2007, Represent Image Contents Using Curves and Chain Code, IAPR Conference on Machine Vision Applications, (MVA), 10th, May 16-18, 2007, Tokyo, Japan, pp.355-358. http://www.mva-org.jp/Proceedings/2007CD/papers/08-32.pdf
Mongkolnam, P., Dechsakulthorn, T., and Nukoolkit, C., 2007, Extracted Structural Features for Image Comparison, Innovations and Advanced Techniques in Computer and Information Sciences and Engineering, Jan 1, 2007, pp.13-17. DOI:10.1007/978-1-4020-6268-1_3
Mongkolnam, P., Nukoolkit, C., and Dechsakulthorn, T., 2007, Component-Level Image Shape Representation Using B-Splines, WSEAS Transactions on Computers, Vol.6, Issue 1, Jan 2007, pp.111-118.
Suebtragoon, S. and Nukoolkit, C., 2005, Visualization Tool for Regulatory DNA Motifs Detecting and Profiling, Joint Conference on Computer Science and Software Engineering, (JCSSE), 2nd, Nov 17-18, 2005.
Nukoolkit, C., and Rattanamahawichai, S., 2004, Clustering and Similarity Matching of Time Series Data with Sequence Alignment, Thailand Computer Science Conference, (ThCSC), 1st, Dec 16-17, 2004, Kasetsart University, Bangkok, Thailand, pp.18-23.
Chewputtanagul, P., Jackson, D., and Nukoolkit, C., 2004, A Road Recognition System Using GPS/GIS Integrated System, IEEE Region 10 Conference, (TENCON), Nov 21-24, 2004, Chiang Mai, Thailand, pp.225-228. DOI: 10.1109/TENCON.2004.1414910
Chewputtanagul, P., Wu, X., Jackson, D., and Nukoolkit, C., 2004, A Multimemory Access Method for Use in FPGA Designs, IEEE Region 10 Conference, (TENCON), Nov 21-24, 2004, Chiang Mai, Thailand, pp.447-450. DOI: 10.1109/TENCON.2004.1414966
Nukoolkit, C. and Wiriyachat, W., 2004, Detecting Web Image Purpose with Backpropagation Neural Network, National Computer Science and Engineering Conference, (NCSEC), 8th, Oct 21-22, 2004, J.B. Hotel, Hatyai, Songkhla, Thailand, pp.30-34.
Nukoolkit, C., Chen, H.C., and Brown, D., 2001, Improving Accuracy of Nearest Neighbor Algorithm in Highway Accident Prediction, Artificial Neural Networks in Engineering Conference, (ANNIE), Nov 2001, St.Louis, MO, USA, pp.763-768.
Nukoolkit, C.,Chen, H.C., and Brown, D., 2001, A Data Transformation Technique for Car Injury Prediction, Annual ACM Southeast Conference, (ACM-SE ), 39th, Mar 16-17, 2001, Athens, Geogia, pp.103-107. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.17.3115&rep=rep1&type=pdf
Nukoolkit, C., Chen, H.C., and Brown, D., 1999, Knowledge Discovery for Injury Reduction from the CARE system, Artificial Neural Networks in Engineering Conference, (ANNIE), Nov 7-10, 1999, St.Louis, MO, USA, pp.477-482.
Research Interests
Data MiningVisualizationsBioinformaticsArtificial Intelligence
งานบริการวิชาการ
| ระยะเวลา | ตำแหน่ง |
| 2018 – 2021 | คณะทำงาน, โครงการจ้างที่ปรึกษาเพื่อวิเคราะห์ วิจัย สร้าง ประเมินคลังข้อสอบ และวัดสมรรถนะแบบออนไลน์ด้านการรู้เรื่องอิงตามแนว PISA |
| 2003 – 2003 | คณะทำงาน, โครงการจัดทำแผนแม่บทเทคโนโลยีสารสนเทศของ คณะวิทยาศาสตร์และเทคโนโลยี มหาวิทยาลัยธรรมศาสตร์ ประจำปีงบประมาณ 2547-2549 |
Certification
NVIDIA Deep Learning Institute (DLI) – Fundamentals of Deep LearningResearcher (RCR) CITI Program Credential ID 53355837
