About Me

My research is directly related to the research theme of "Engineering Solutions for Health" and I am considered an expert in machine learning and data analysis for biomedical engineering applications. My current position is a postdoctoral fellow at the Institute of Biomedical Engineeringthe University of New Brunswick, Frederticton, NB, Canada (September 2017-Present) under the supervision of Dr. Erik Scheme. Since 2009, I have developed an H-index of 19  (i10-index of 35) and my 95 published refereed journals, book chapters, conference proceedings, abstracts, and invited talks have been cited 1784 timesThirty-one papers have been published in ISI indexed journals (22 as the first author)I have gained valuable experience in several different scientific environments in different countries (Canada, UK, France, Italy, Spain) over the last ten years.

During my undergraduate studies, I participated in an internship at the Faculty of Computer Sciences, University of MurciaSpain (March 2007-May 2007). After completing my Bachelor's degree, with First Class Honors in Computer Engineering with special emphasis on computer networks and software engineering at Prince of Songkla UniversityThailand (June 2004-February 2008), I pursued my PhD in Electrical Engineering with special emphasis on signal processing and pattern recognition (June 2008-April 2012). Specifically, my PhD research was focused on developing algorithm to accurately classify upper-extremity movement patterns from electromyographic (EMG) patterns of information for the control of multifunctional assistive and rehabilitative devices referred to as myoelectric control. My collective dissertation research also received the "Best PhD Thesis Award" from the National Research Council of Thailand. During the final year of my PhD studies, I began focus my research on improving the robustness and generalization ability of these systems at the School of Computer Science and Electronic Engineering, University of Essex, in the UK (October 2011-March 2012), and I continued this research during my first Postdoctoral Fellow at the GIPSA-lab and LIG-labGrenoble, France (September 2012-August 2013). My second Postdoctoral Fellow was supported by the three prestigious fellowships: CIHR Fellowship, AIHS Postgraduate Fellowship, and Eye High Postdoctoral Fellowship at the Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada (September 2013-September 2016). Specifically, my second postdoc research was aimed at advanced machine learning techniques, involving thousands of runners and walkers, to detect both major and subtle changes in gait biomechanics for the purpose of injury prevention and optimal rehabilitation. During September 2016-August 2017, I was a Researcher at ISI Foundation, Turin, Italy, working in a number of projects related to the integration of topological data analysis and neuroscience research.

I have a number of computer programming language certificates, i.e., Sun Certified Programmer for the Java 2 Platform 1.4 (SCJP), Microsoft Certified Professional Developer, Web Developer (MCPD), and Microsoft Certified Technology Specialist, .NET Framework 2.0 Web (MCTS). I am also a member of IEEE (2008-Present), CMBES, and ESB. Further, I have had experience working as a teaching assistant for both theoretical and practical courses dating back to my bachelor and PhD studies.

Certificate of Achievement

PhD Thesis: EMG Denoising and Feature Optimization for Forearm Movement Classification
(การลดสัญญาณรบกวนในสัญญาณไฟฟ้ากล้ามเนื้อ และการหาลักษณะเด่นที่เหมาะสม สำหรับการจำแนกรูปแบบการเคลื่อนไหวของแขนท่อนล่าง)
PhD Advisors: Assoc.Prof.Dr.Chusak Limsakul and Assoc.Prof.Dr.Pornchai Phukpattaranont
PhD Thesis (372 pages) | Presentation Qualify Examination / Proposal / PhD Defense
Best Ph.D. Thesis Awards from National Research Council of Thailand 2013 and Prince of Songkla University 2012

Pa Hin Ngam National Park, Chaiyaphum, Thailand

General Information

 Name: Angkoon Phinyomark (อังกูร ภิญโญมารค)
 Nick name: Toon (ตุลย์)
 Gender: Male
 Birth date: Friday, October 17, 1986
 Home place: Narathiwat, Thailand


Doctor of Philosophy (Ph.D.) in Electrical Engineering
(Best PhD Thesis Awards)
Prince of Songkla University, Thailand
June 2008 - April 2012
Concentration: Signal processing and pattern recognition
Ph.D. thesis: EMG Denoising and Feature Optimization for Forearm Movement Classification
Advisors: Assoc.Prof. Dr. Chusak Limsakul, 
                Assoc.Prof. Dr. Pornchai Phukpattaranont
                Prof. Dr. Huosheng Hu
Support by the Thailand Research Fund (TRF) through the Royal Golden Jubilee Ph.D. Program (Grant No. PHD/0110/2550)

Bachelor of Engineering (B.Eng.) in Computer Engineering
(First Class Honors)

Prince of Songkla University, Thailand
June 2004 - March 2008
Concentration: Data communication and networking
Senior project: NAT-PT API redesign and implementation
Junior project: Modeling a token bucket in a GUI application
Advisors: Robert Elz, co-advisor: Touchai Angchuan

Albert Dock, Liverpool, UK
Technical Skills

Programming Languages:
C/C++, Python, MATLAB, LabVIEW, HTML, PHP, XML (XSLT), Action Script (Flash),
C# .net (MCPD: Microsoft Certified Professional Developer),
C# .net (MCTS: Microsoft Certified Technology Specialist),
Java (SCJP: Sun Certified Programmer for the Java 2 Platform 1.4)
Operating Systems:
Linux, Window, Unix, MacOS

Alhambra, Granada, Spain

Professional Experiences

Postdoctoral Fellow, University of Calgary
Calgary, Canada — 2013-2016
Eyes High Postdoctoral Fellowship
Project: Machine Learning Approaches to Identify Biomechanical Risk Factors Associated with Musculoskeletal Injury
Faculty of Kinesiology
Advisor: Assoc.Prof. Dr.Reed Ferber

Postdoctoral Fellow, University Joseph Fourier - Grenoble I
Grenoble, France — 2012-2013
Project: Tangible Interaction based on Gesture Recognition (TIGRE)
(Designing and Implementing Human-Computer Interaction Techniques based on Signal Processing for Surface Electromyography for Forearm Movements)
GIPSA laboratory and LIG laboratory
Advisors: Assoc.Prof. Dr.Franck Quaine, Assoc.Prof. Dr.Yann Laurillau

Visiting Researcher, University of Essex
Colchester, UK — 2011-2012
Concentration: EMG Signal Classification Using Dimensionality Reduction
School of Computer Science and Electronic Engineering
Advisor: Prof. Dr.Huosheng Hu

Visiting Researcher, University of Murcia
Murcia, Spain — 2007
Concentration: Translation of XML to TXT Using XSLT
Faculty of Computer Science