Maytus (Mo) Piriyajitakonkij

Maytus (Mo) Piriyajitakonkij

Researcher

Biography

Maytus is a PhD researcher at The University of Manchester under the supervision of Dr. Wei Pan, Dr. Mingfei Sun and Dr. Mengmi Zhang (Nanyang Technological University and A*STAR). He is working on neuroscience-inspired learning with applications in robotics. His main research goals are: understand how brains computationally work and build intelligent machines that imitate how biological brains compute. He was awarded a PhD studentship by The University of Manchester and A*STAR.

He graduated from Imperial College London with a Master’s degree in Computing (AI and Machine Learning). He did the MSc project under the supervision of Prof. Andrew Davison from the Dyson Robotics Lab. Before that, he worked for 2 years as a pre-doctoral researcher at VISTEC with Dr. Theerawit Wilaiprasitporn and Dr. Nat Dilokthanakul.

Interests
  • Deep Learning
  • Vision
  • Robotics
  • Computational Neuroscience
  • AI for Healthcare
Education

  • PhD in Computer Science

    The University of Manchester

  • MSc in Computing (AI and Machine Learning Specialism)

    Imperial College London

  • BEng in Electrical Engineering

    Chulalongkorn University

Recent Publications

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Phuridet Cherachapridi, Patcharapol Wachiraphan, Phurin Rangpong, Suktipol Kiatthaveephong, Supavit Kongwudhikunakorn, Kamonwan Thanontip, Maytus Piriyajitakonkij*, Amrest Chinkamol, Chnan Likitvanichkul, Pathitta Dujada, Vorapun Senanarong, Theerawit Wilaiprasitporn, Thapanun Sudhawiyangkul (2022). Prescreening MCI and Dementia Using Shank Mounted IMU During TUG task. IEEE Sensors Journal.

Maytus Piriyajitakonkij*, Patchanon Warin, Payongkit Lakhan, Pitshaporn Leelaarporn, Nakorn Kumchaiseemak, Supasorn Suwajanakorn, Theerasarn Pianpanit, Nattee Niparnan, Subhas Chandra Mukhopadhyay, Theerawit Wilaiprasitporn (2022). SleepPoseNet: multi-view learning for sleep postural transition recognition using UWB. IEEE Journal of Biomedical and Health Informatics.

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Nakorn Kumchaiseemak, Itthi Chatnuntawech, Surat Teerapittayanon, Palakon Kotchapansompote, Thitikorn Kaewlee, Maytus Piriyajitakonkij*, Theerawit Wilaiprasitporn, Supasorn Suwajanakorn (2022). Toward Ant-Sized Moving Object Localization Using Deep Learning in FMCW Radar: A Pilot Study. IEEE Transactions on Geoscience and Remote Sensing.

Phattarapong Sawangjai, Manatsanan Trakulruangroj, Chiraphat Boonnag, Maytus Piriyajitakonkij*, Rajesh Kumar Tripathy, Thapanun Sudhawiyangkul, Theerawit Wilaiprasitporn (2022). EEGANet: removal of ocular artifact from the EEG signal using generative adversarial networks. IEEE Journal of Biomedical and Health Informatics.

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Tanut Choksatchawathi, Puntawat Ponglertnapakorn, Apiwat Ditthapron, Pitshaporn Leelaarporn, Thayakorn Wisutthisen, Maytus Piriyajitakonkij*, Theerawit Wilaiprasitporn (2022). Improving Heart Rate Estimation on Consumer Grade Wrist-Worn Device Using Post-Calibration Approach. IEEE Sensors Journal.

Maytus Piriyajitakonkij*, Sirawaj Itthipuripat, Theerawit Wilaiprasitporn, Nat Dilokthanakul (2022). Deep Reinforcement Learning Models Predict Visual Responses in the Brain: A Preliminary Results.

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Supavit Kongwudhikunakorn, Suktipol Kiatthaveephong, Kamonwan Thanontip, Pitshaporn Leelaarporn, Maytus Piriyajitakonkij*, Thananya Charoenpattarawut, Phairot Autthasan, Rattanaphon Chaisaen, Pathitta Dujada, Thapanun Sudhawiyangkul, Vorapun Senanarong, Theerawit Wilaiprasitporn (2022). A pilot study on visually stimulated cognitive tasks for EEG-based dementia recognition. IEEE Transactions on Instrumentation and Measurement.