Kasemsit Teeyapan ผศ.ดร. เกษมสิทธิ์ ตียพันธ์

Assistant Professor, Ph.D. · Department of Computer Engineering, Chiang Mai University

kasemsit.t@cmu.ac.th Chiang Mai, Thailand Google Scholar ORCID

Professional Summary

Assistant Professor at the Department of Computer Engineering, Faculty of Engineering, Chiang Mai University. Current research focuses on forensic odontology and computer vision-based reading of medical devices, alongside broader work in medical image analysis, computer vision, and machine learning.

Education

  • 2012 - 2018

    Chiang Mai, Thailand

    Ph.D.
    Chiang Mai University
    Electrical Engineering
    • Thesis: “Twin Hyper-ellipsoidal Support Vector Classifier”
    • Advisor: Prof. Dr. Nipon Theera-Umpon
  • 2007 - 2008

    Atlanta, GA, USA

    M.S.
    Georgia Institute of Technology
    Electrical and Computer Engineering
  • 2001 - 2005

    Chiang Mai, Thailand

    B.Eng.
    Chiang Mai University
    Electrical Engineering (First-class Honors, Gold Medal)

Experience

  • 2026 - present

    Chiang Mai, Thailand

    Founder
    Pixpulse Innovation Co., Ltd.
    A HealthTech startup developing and commercializing PixPulse, computer-vision software that reads bedside patient monitors and converts the displayed vital signs into structured digital data for ICU care.
  • 2018 - present

    Chiang Mai, Thailand

    Department of Computer Engineering, Faculty of Engineering, Chiang Mai University
    • Assistant Professor (Dec 2022 – present)
    • Lecturer (Jul 2018 – Dec 2022)
  • 2017 - 2017

    Leuven, Belgium

    Doctoral exchange student
    Skeletal Biology and Engineering Research Center, KU Leuven Campus Group T
    Worked with Veerle Bloemen on single-cell tracking and image processing.
  • 2009 - 2011

    Atlanta, GA, USA

    Graduate Research Assistant
    Humanoid Robotics Lab, Georgia Institute of Technology
    Worked with Mike Stilman to develop Golem Krang, a two-wheeled dynamically-stable humanoid robot, focusing on modeling and control that exploit the robot’s natural dynamics.
  • 2005 - 2005

    Ayutthaya, Thailand

    Lens production engineer
    Nikon (Thailand) Co., Ltd.
    Supervised the manufacturing processes of interchangeable lenses.

Publications

International Journals

  1. ISD
    Deep learning-based method for estimating age from periapical radiographs of upper incisors in a Thai population
    Praewpannarai Khruasarn, Kasemsit Teeyapan, Sangsom Prapayasatok, and Sakarat Nalampang
    Imaging Science in Dentistry, Dec 2025
  2. JAMS
    Application for acoustic assessment: A pilot study in Parkinson’s patients
    Worapol Boonyaban, Piyawat Trevittaya, Nipon Theera-Umpon, Kasemsit Teeyapan, Chayasak Wantaneeyawong, and Anuwat Boonsong
    Journal of Associated Medical Sciences, Oct 2024
  3. IJERPH
    Fuzzy K-nearest neighbor based dental fluorosis classification using multi-prototype unsupervised possibilistic fuzzy clustering via cuckoo search algorithm
    Ritipong Wongkhuenkaew, Sansanee Auephanwiriyakul, Nipon Theera-Umpon, Kasemsit Teeyapan, and Uklid Yeesarapat
    International Journal of Environmental Research and Public Health, 2023
  4. JIFS
    A twin-hyperellipsoidal support vector classifier
    Kasemsit Teeyapan, Nipon Theera-Umpon, and Sansanee Auephanwiriyakul
    Journal of Intelligent and Fuzzy Systems, Dec 2018
  5. NCA
    Ellipsoidal support vector data description
    Kasemsit Teeyapan, Nipon Theera-Umpon, and Sansanee Auephanwiriyakul
    Neural Computing and Applications, Dec 2017

International Conferences with Full Articles

  1. KST
    A Comparative Study of Deep Learning Models for Cabbage Detection and Counting in Drone Imagery
    Panyapat Wongdee and Kasemsit Teeyapan
    In 2025 17th International Conference on Knowledge and Smart Technology (KST), Feb 2025
  2. CSBio
    Deep learning-based approach for corneal ulcer screening
    Kasemsit Teeyapan
    In The 12th International Conference on Computational Systems-Biology and Bioinformatics (CSBio2021), Oct 2021
  3. ICSEC
    Abnormality Detection in Musculoskeletal Radiographs using EfficientNets
    Kasemsit Teeyapan
    In 2020 24th International Computer Science and Engineering Conference (ICSEC), Dec 2020
  4. ICCSCE
    Application of support vector based methods for cervical cancer cell classification
    Kasemsit Teeyapan, Nipon Theera-Umpon, and Sansanee Auephanwiriyakul
    In 2015 IEEE International Conference on Control System, Computing and Engineering (ICCSCE), Nov 2015
  5. ICRA
    Robot limbo: Optimized planning and control for dynamically stable robots under vertical obstacles
    Kasemsit Teeyapan, Jiuguang Wang, Tobias Kunz, and Mike Stilman
    In 2010 IEEE International Conference on Robotics and Automation, May 2010
  6. Humanoids
    Optimized control strategies for wheeled humanoids and mobile manipulators
    Mike Stilman, Jiuguang Wang, Kasemsit Teeyapan, and Ray Marceau
    In 2009 9th IEEE-RAS International Conference on Humanoid Robots. Best paper award finalist , 2009

Short Peer-reviewed Conference Articles

  1. Twin Support Vector based Classifier using Hyperellipsoids
    Kasemsit Teeyapan, Sansanee Auephanwiriyakul, and Nipon Theera-Umpon
    In International Conference on Green and Human Information Technology, Jan 2018
  2. Twin Hyperellipsoidal Support Vector Classifier with Instance Reduction
    Kasemsit Teeyapan, Sansanee Auephanwiriyakul, and Nipon Theera-Umpon
    In International Conference on Information, System and Convergence Applications, Jan 2018

National Journal

  1. การตรวจจับอาการง่วงนอนของผู้ขับขี่รถยนต์โดยใช้เทคนิคการประมวลผลภาพ (Driver Drowsiness Detection using Image Processing Techniques)
    ศุภวิชญ์ ละม่อม, นิพนธ์ ธีรอำพน, ศันสนีย์ เอื้อพันธ์วิริยะกุล, and เกษมสิทธิ์ ตียพันธ์
    วารสารวิชาการเทคโนโลยีสุขภาพประเทศไทย (Thai Journal of Health Technology), 2022

Research Grants

  • PixPulse: converting vital-sign images into a digital system integrated with electronic medical records (EMR) — TED Youth Startup, Technology and Innovation-Based Enterprise Development Fund (TED Fund), Ministry of Higher Education, Science, Research and Innovation (MHESI) (2026–present). Co-investigator.
  • Innovation in auto-generating vital sign charts from monitor screen images — Innovation Grant, Faculty of Medicine, Chiang Mai University (2025–2026). Co-investigator.
  • Musculoskeletal abnormality detection for upper extremity — The Murata Science Foundation (2019). Principal Investigator.
  • Machine Learning System Prototype for Digital Power Plant — Electricity Generating Authority of Thailand (2018–2019). Researcher.
  • Development of Sound Source Localization and Speech Detection for Dinsow Mini Robot — Thailand Research Fund (2018–2019). Researcher.

Awards

  • 2025 Winner, MED CHICKATHON 2025 Pitching Competition Faculty of Medicine, Chiang Mai University
  • 2017 Erasmus+ / Erasmus Programme European Commission
  • 2007 Royal Thai Government Scholarship Ministry of Science and Technology, Thailand
  • 2005 Excellent Academic Award (Gold Medal) Chiang Mai University
  • 2004 Best Academic Achievement Award in Electrical Engineering The Engineering Institute of Thailand under H.M. the King's Patronage
  • 2002 Most Outstanding Freshman in Engineering Prof. Dr. Tab Nilanidhi Foundation

Teaching

  • Undergraduate
    • 259201 Computer Programming for Engineers (Python)
    • 261102 Computer Programming (C++)
    • 261306 Computer Engineering Probability and Statistics
    • 261405 Advanced Computer Engineering Technology
    • 269400 Advanced Information Systems and Network Technology
    • 261459 Deep Learning
    • 261499 Selected Topics in Computational Intelligence (Deep Learning)
    • 269382 Data Analytics for Non-IT Majors
    • 269481 Project Design in Information Technology
  • Graduate
    • 261795 Selected Topics in Computational Intelligence (Deep Learning)

Service

  • Journal reviewer
    • IEEE Transactions on Neural Networks and Learning Systems
    • IEEE Transactions on Artificial Intelligence
    • Engineering Applications of Artificial Intelligence
    • Displays
    • International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM)
    • ECTI Transactions on Computer and Information Technology (ECTI-CIT)
    • Science & Technology Asia
    • Journal of Science and Technology, Mahasarakham University
  • Conference reviewer
    • FUZZ-IEEE 2024
    • APSIPA ASC 2022
    • IIHMSP-FITAT 2020
    • FSDM 2018
  • Conference organizer
    • Registration Co-Chair, APSIPA ASC 2022, Chiang Mai, Thailand (Nov 2022)
    • IEEE CIBCB 2016, Chiang Mai, Thailand (Oct 2016)

Certificates

  • Deep Learning Specialization - deeplearning.ai (Coursera) (2018)
  • Japanese-Language Proficiency Test N2 - Japan Foundation (2018)
  • Japanese-Language Proficiency Test N3 - Japan Foundation (2015)

Languages

Thai : Native speaker
English : Professional working proficiency
Japanese : JLPT N2

Interests

Forensic odontology, Computer vision-based medical device reading: Medical image analysis, Computer vision, Machine learning, Deep learning, AI for law, Data analytics, Robotics