About me
I am a lecturer at Mahidol University. My research interest is to train deep learning model end-to-end on large datasets, including time-series and images. I got my PhD in Computing Research from Imperial College London. During my PhD, I have developed deep learning models that can automate feature extraction process in biosignal analysis, especially EEG signals (i.e., brain activity). My PhD supervisor is Prof. Yike Guo, a director of Data Science Institute of Imperial College London.
Current Research Projects
2019 – Current: Faculty of Medicine Siriraj Hospital at Mahidol University: Interactive System for Assisting Medical Doctors in Assessing Patient’s Conditions (Role: Researcher).
Selected Publications
Journal Papers
Remote Monitoring in the Home Validates Clinical Gait Measures for Multiple Sclerosis
Akara Supratak, Gourab Datta, Arie R. Gafson, Richard Nicholas, Yike Guo and Paul M. Matthews
Frontiers in Neurology, 2018
Mixed Neural Network Approach for Temporal Sleep Stage Classification
Hao Dong, Akara Supratak, Wei Pan, Chao Wu, Paul M Matthews and Yike Guo
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
Akara Supratak, Hao Dong, Chao Wu and Yike Guo
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017
Conference and Workshop Papers
TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring Based on Raw Single-Channel EEG
Akara Supratak and Yike Guo
EMBC, 2020
Towards Desynchronization Detection in Biosignals
Akara Supratak, Steffen Schneider, Hao Dong, Ling Li and Yike Guo
NIPS Time Series Workshop, 2017
TensorLayer: A Versatile Library for Efficient Deep Learning Development
Hao Dong, Akara Supratak, Luo Mai, Fangde Liu, Axel Oehmichen, Simiao Yu and Yike Guo
ACM Multimedia, 2017 (Best Open source software)
Past Research Projects
2019 – 2020: MU Young Researcher Grant: The Study of Transfer Learning in Sleep Stage Scoring (Role: Principal Investigator).
2019 – 2020: U.Reka: Information Embedding-Retrieval of Re-recorded Video (Role: Deep Learning Expert).
2015 – 2017: Progressive MS Alliance: Novel Enabling Infrastructure for Outcomes Monitoring: Dynamic Remote Performance Capture to Assess Disability in Progressive Multiple Sclerosis [link] (Role: Lead Data Scientist).
2014 – 2015: Samsung GRO Award 2014: Deep Learning on Fused Brain and Heart Signals for Mental Disorder Detection Grant: Samsung GRO Award 2014 (Role: Lead Data Scientist).
Timeline
2018-Current: Mahidol University: Instructor.
2013-2018: Imperial College London: Ph.D. in Computing Research. Adviser: Prof. Yike Guo.
2012-2013: Imperial College London: M.Sc. in Computing (Software Engineering).
2011-2012: Mahidol University: Assistant Instructor.
2007-2011: Mahidol University: B.Sc. in Information and Communication Technology (Computer Science).
Awards
2020: Winner of Katalyst x Stanford: Innovation & Technology Entrepreneurship from KBank (Team: TinyEpicBrains).
2019: Think Disruptive from [U ME IDEA] (http://umeidea.net/) (Team: TinyEpicBrains) [link].
2018: Finalist of U.Reka program (Team: TinyEpicBrains) [link].
2017: Winner of Anglo-Thai Society Educational Award for Excellence 2017 in Engineering and Technology [link] [news].
2017: Best Open Source Software Award at ACM MM 2017 [link] [pdf].
2011: Full Scholarship for Young ICT Instructor Development from the Faculty of Information and Communication Technology, Mahidol University.
2011: Academic Excellence from the Faculty of Information and Communication Technology, Mahidol University.
2011: 2nd Place in Game Design, Imagine Cup 2011, New York, US.
2010: One of the six finalists in Game Design, Imagine Cup 2010, Warsaw, Poland.
2009: Honorable Mention, ACM-ICPC Asia Phuket Regional Programming Contest 2009, Phuket, Thailand.
2009: Two Honorable Mentions of PC and Console game category of SIPA Game Contest 2009.
Professional Service
Reviewers: IEEE TNSRE, IEEE J-BHI, IEEE Access, Biomedical Signal Processing, Pattern Recognition, Journal of Sensors, Health Challenge Thailand (HCT), Multiple Sclerosis Journal (MSJ), and CSAE.
Academic Experience
2018 - Current: Instructor for several undergraduate and graduate courses, Mahidol University.
2018 - Current: Instructor for Deep Learning Workshop, Mahidol University.
2013 – 2017: Teaching Assistant for several undergraduate and graduated courses, Imperial College London.
2016: Invited Speaker for the Revolutions in Biomedicine Summer Programme, Imperial College London.
2015: Invited Speaker for the short course in eHealth, Imperial College London.
2011: Instructor and Teaching Assistant for several undergraduate course, Mahidol University.