Wasit Limprasert, PhD

Asst. Prof. Wasit Limprasert

Spacialist: Big Data, Deep Learning, Businees Analytics, Cyber Security

  • Position: Lecturer Data Science and Innovation Program, Thammasat University

  • Academic Profile

    • 2555 PhD in Computer Science, Heriot-Watt University, Edinburgh, UK (IPST Scholarship)

    • 2550 MSc in Microelectronics, Asian Institute of Technology, Thailand (IPST Scholarship)

    • 2547 BSc in Physics, Mahidol University, Thailand (IPST Scholarship)

Professional Activities

  • 2019-Present Lecturer at Data Science and Innovation, College of Interdisciplinary Studies, Thammasat University

    • DSI200 Python for Data Analytics

    • DSI202 Full Stack Software Development

    • DSI310 Data Preparation

    • DSI321 Big Data Infrastructure

    • DSI441 Artificial Neural Network and Deep Learning

  • 2020 Sub-Committee for Driving Big Data Gove Tech, Ministry of Agriculture and Cooperatives

  • 2019 Assistant Dean for Information Technology Faculty of Science and Technology Thammasat University

  • 2019-2020 Information and Communication Technology Committee, TU.

  • 2016-2021 AI and Bigdata Technology Consultant, Bay Computing Company Limited

  • 2014-2021 Honorary Advisor and Honorary Member of the Real Estate Trade Association and the Real Estate and Partnetshios Trade Association (REP).

  • 2016-2020 Sub-Committee on Supporting the Establishment of Science Classrooms in Schools under the supervision of the University (Wam Wor. Project)

  • 2014-2020 Lecturer at Computer Olympiad Computer Camp, Net. Camp 2, Thammasat Examination Center

  • 2014-2020 Lecturer, Faculty of Science and Technology Thammasat University

    • CS409 Deep Learning Department of Computer Science Thammasat University

    • CS439 Python Programming and Data analytics Department of Computer Science Thammasat University

    • CS459 Django Web Framework Department of Computer Science Thammasat University

    • CDT254/265 Computer Organization and Architecture, Thammasat University

    • DBT232 IT and Management Faculty of Architecture and Town Planning Thammasat University

    • CDT264: Computer Organization and architecture, Department of Computer Science Thammasat University

    • CS102: Fundamental computer programming Department of Computer Science Thammasat University

    • CS634: Computer vision Department of Computer Science Thammasat University

    • CS801: PhD seminar Department of Computer Science Thammasat University

  • 2013-2014 Researcher, NECTEC, Thailand

    • Developed a patent on Accelerated Storyline Visualization

    • Apparatus for Event Visualization was approved to send to Department of Intellectual Property

    • Storyline Visualization for Resource Allocation

  • 2010-2013 Lab Instructor, Computer Science, Heriot-Watt University, UK

    • June12-Mar12: Lab Instructor in F29VR2/F24VS2 Virtual Environments

    • 2010-2011: Lab Instructor in F29VR2/F24VS2 Virtual Environments

    • 2010-2011: Lab Instructor in F27IS Interactive Systems.

    • 2009-2010: Lab helper in B39SB Signals and Communications

    • 2009-2010: Lab helper in B39DC Computer Architecture and Embedded Systems.

  • 2007-2008 Lab supervisor, Microelectronics, Asian Institute of Technology, Thailand

    • Responsibilities: Giving guidance and demonstrating how to design electronics circuits.

    • Skills gained: FPGA Implementation, silicon layout design and electrical stimulation.

  • 2006-2009: Teaching in International Home School using Cambridge IGCSE and Cambridge International AS & A Level

    • Physics (IGCSE and A level)

    • Information & Communication Technology (IGCSE)

    • Computer Science (IGCSE and A level)

Awards

  • 2018 Silver Medal Award from International Invention Contest, Developing a Multiwall Carbon Nanotube/Titanium Dioxide Prin Screen Electrode for a Cheap Sensor Manufacturing For screening patients with gout, 46 th International Exhibition and Inventions of Geneva, 13 April 2018.

  • 2017 Award for Dare to Grow Big (Consultant) NECTEC SCB

  • 2016 Honorary Award for researchers who received awards from external agencies, Researchers Day, Thammasat University

  • 2016 Bronze Medal Award from International Invention Competition, Rice Surveillance and Prognosis System, 44 th International Exhibition and Inventions of Geneva 2016

Publications

  • Warin, Kritsasith, Wasit Limprasert, Siriwan Suebnukarn, Suthin Jinaporntham, Patcharapon Jantana, and Sothana Vicharueang. 2021. “AI-Based Analysis of Oral Lesions Using Novel Deep Convolutional Neural Networks for Early Detection of Oral Cancer.”

  • Warin, K., W. Limprasert, S. Suebnukarn, S. Jinaporntham, and P. Jantana. 2021. “Performance of Deep Convolutional Neural Network for Classification and Detection of Oral Potentially Malignant Disorders in Photographic Images.” International Journal of Oral and Maxillofacial Surgery, September. https://doi.org/10.1016/j.ijom.2021.09.001.

  • Warin, Kritsasith, Wasit Limprasert, Siriwan Suebnukarn, Suthin Jinaporntham, and Patcharapon Jantana. "Automatic classification and detection of oral cancer in photographic images using deep learning algorithms." Journal of Oral Pathology & Medicine (2021).

  • Jukkrapong Ponharn, Wasit Limprasert and Onjira Sitthisak, Anomaly Analysis of Weather Station by Dimension Reduction, May 2021, p486 The Seventeenth National Conference on Computing and Information Technology NCCIT2021

  • J Kaewchote, S Janyong, W LimprasertImage recognition method using Local Binary Pattern and the Random forest classifier to count post larvae shrimp Agriculture and Natural Resources 52 (4), 371-376, 2018

  • C. Wongwises, N. Kaothanthong and W. Limprasert, 3DDIR: The Distance Interior Ratio of Volumetric Models for Object Recognition, KST2017, February 2017

  • P. Thiparpakul, W. Limprasert, New Design System to Learning Martial Art Via Kinect 2.0, ICIET, 2017

  • S. Kosolsombat, W. Limprasert, Arrival Time Prediction and Train Tracking Analysis, PRICAI2016, August 2016

  • W. Limprasert, S. Kosolsombat, A Case Study of Data Analysis for Educational Management, Khon Kaen University, Thailand. JCSSE2016, July 2016

  • D. Athinuwat, W. Limprasert, Rice Plant Disease Forecaster, 44th International Exhibition and Invention of Geneva, April 2016

  • W. Limprasert, Parallel Random Forest with IPython Cluster, The 19th International Computer Science and Engineering Conference (ICSEC2015), Chiang Mai, November 2015

  • W. Limprasert, T. E-Kobon, N. Somsap, P. Chumnanpuen, Algae Image Classification using Parallel Random-forest, 6th International Conference on Computational Systems-Biology and Bioinformatics (CSBio2015), Bangkok, November 2015

  • T. E-Kobon, W. Limprasert, N. Somsap, P. Chumnanpuen, The Modeling For Dynamic Algal Blooms Prediction Based on Decision Tree Algorithm, 6th International Conference on Computational Systems-Biology and Bioinformatics (CSBio2015), Bangkok, November 2015

  • W. Limprasert, Patent Application: Storyline Visualization, patent number 1301005566, Filing Date 30 September 2013

  • W. Limprasert; A. Wallace & G. Michaelson, Real-Time People Tracking in a Camera Network, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2013, 3, 263-271

  • W. Limprasert, Thesis: Real-time people tracking in a camera network, Heriot-Watt University, School of Mathematical and Computer Sciences, 2012

  • W. Limprasert; A. Wallace & G. Michaelson, Accelerated People Tracking using Texture in a Camera Network, VISAPP proceeding, 2012

  • W. Limprasert, People detection and tracking with a static camera, Technical report, School of Mathematical and Computer Sciences, Heriot-Watt University, 2010

  • Wasit Limprasert, Multi-Target Tracking in Camera Network, Technical report, School of Mathematical and Computer Sciences, Heriot-Watt University, 2009

  • W. Limprasert; P. Israsena ; N. Afzulpurkar & L. Lekawat, On an approach in implementing DSP algorithms for digital hearing aids; a noise reduction core case study, Alternative & augmentative communications and hearing technology, 2007, ISBN:978-1-59593-852-7

Patents, Petty Patents and Copyrights


Current Projects

  • 2022 Guidelines for Incubating Thai Gems and Jewelry Entrepreneurs

  • 2022 Crop Simulation, Faculty of Economics, Thammasat University


Past Projects


ผศ.ดร. วสิศ ลิ้มประเสริฐ มหาวิทยาลัยธรรมศาสตร์, ผู้เชี่ยวชาญด้าน Big Data, Deep Learning, Businees Analytics, Cyber Security

email: wasit(at)staff.tu.ac.th | HomePage | Youtube | Medium | Github | Google Scholar