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 Mingfei Sun, Mengmi Zhang, and 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 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

Quickly discover relevant content by filtering publications.
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.

PDF Cite Code Slides

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.

PDF Code Dataset Poster Video Source Document Custom Link

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.

PDF Cite Code Dataset Slides Video Source Document

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.