Maytus (Mo) Piriyajitakonkij

Maytus (Mo) Piriyajitakonkij

Researcher

Biography

Maytus is a PhD researcher at the University of Manchester. His research focuses on uncovering the brain’s computational principles and translating insights from cognitive science and neuroscience into intelligent machines. He holds a PhD scholarship jointly funded by the University of Manchester and A*STAR.

He works with and is advised by Dr. Wei Pan, Dr. Mingfei Sun, Dr. Mengmi Zhang, and Dr. Cheston Tan, whose expertise spans cognitive science, multi-agent reinforcement learning, computer vision, and robotics.

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.

Interests
  • Cognitively-Inspired AI
  • Embodied AI
  • Emergent Communication
  • Cognitive Science
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.