CV

Dengzhe Hou

Assistant Professor, Graduate School of Information Sciences, Tohoku University

hou.dengzhe.t8@dc.tohoku.ac.jp
Sendai, Miyagi, JP

Summary

Assistant Professor at the Graduate School of Information Sciences, Tohoku University (Yamada Laboratory; International Liaison Office), with a concurrent appointment at the Unprecedented-scale Data Analytics Center (UDAC), Social Integration Research Division (from April 2026). JSPS DC2 Research Fellow (2025–2026). Research bridges cognitive neuroscience and AI, covering the reliability of EEG decoding, cognitive probes for large language models, and the neural mechanisms of self-initiated attention. Ph.D. in Information Sciences, Tohoku University (2026).

Education

  • Ph.D. Candidate, Information Sciences (Cognitive Neuroscience / Vision Science / Psychology)
    2026-03-31
    Tohoku University
    Courses: Thesis: Exploring Brain Mechanisms of Self-Initiated Attention Shift: Simultaneous Recording of EEG and Eye Movements, Advisors: Prof. Satoshi Shioiri, Prof. Shuichi Sakamoto, Prof. Chia-huei Tseng, Visual Cognition and Systems Laboratory
  • Visiting PhD Scholar, Department of Neurology, MGH
    2025-01-31
    Harvard Medical School / Massachusetts General Hospital
    Courses: Training in sEEG, hyperscanning, and neural mechanisms of speech and interactive communication, Advisors: Instructor Jing (Jill) Cai, Prof. Sydney S. Cash
  • M.S., Information Sciences
    2023-03-31
    Tohoku University
    Courses: Visual Cognition and Systems Laboratory, Advisors: Prof. Satoshi Shioiri, Prof. Chia-huei Tseng
  • B.Eng., Electronic and Information Engineering (Automation)
    2020-07-31
    Tongji University
    GPA: 4.15/5.0 (Top 30%)

Work Experience

  • Assistant Professor
    2026-04-01 - present
    Graduate School of Information Sciences, Tohoku University
    Assistant Professor at GSIS, affiliated with the Yamada Laboratory and the International Liaison Office (ILO). Research bridges cognitive neuroscience and artificial intelligence.
    • Reliability of EEG decoding and cognitive probes for large language models. Current directions include aligning brain signals (EEG, fMRI) with large-scale AI models
    • Instructor for Machine Learning Basics (Graduate Program in Data Science, GPDS)
  • Assistant Professor (Concurrent Appointment)
    2026-04-01 - present
    Unprecedented-scale Data Analytics Center (UDAC), Tohoku University
    Concurrent appointment in the Social Integration Research Division, ordered April 1, 2026 (令和8年4月1日).
    • Social Integration Research Division
    • Member of the TechGov initiative (from May 2026)
  • Teaching Assistant
    2022-04-01 - 2025-03-31
    Graduate School of Information Sciences, Tohoku University
    Teaching Assistant for data science and machine learning courses. Supervisors: Prof. Kazunori Yamada, Assoc. Prof. Samy Baladram.
    • Machine Learning Basics (2024 spring)
    • Data Science Programming Basics (2024 spring)
    • Data Engineering (2024 spring)
    • Data Science Training I (2024 spring, 2022 spring)
    • Data Science Training II (2024 spring)
    • Data Science Basics (2023 fall)
    • Data Science Skill Up Exercise (2022 spring)

Skills

Neuroimaging & Psychophysics

  • EEG/ERP
  • Eye-tracking
  • sEEG
  • Gaze-contingent paradigms
  • Visual psychophysics

Computational Methods

  • Time-frequency analysis
  • Neural decoding (MVPA)
  • Accumulation-to-bound modeling
  • Machine learning
  • Signal processing

Programming

  • Python
  • MATLAB
  • R
  • EEGLAB
  • MNE-Python

Publications

  • Task-constrained self-initiated attention shifts are indexed by frontal-midline theta ramping
    2025
    Frontiers in Human Neuroscience
    Hou D., Sun S., Hatori Y., Tseng C., & Shioiri S. (2025). EEG study revealing frontal-midline theta ramping as a neural index of voluntary attentional preparation.
  • EEG Activity Over Ipsilateral and Contralateral M1 During Simple and Complex Hand Tasks: Variations with Motor Learning
    2025
    Frontiers in Neuroscience
    Zhao J., Wang Y., Hou D., Négyesi J., Qiu D.L., & Nagatomi R. (2025). Frontiers in Neuroscience, 19, 1681250.
  • Commonality of neuronal coherence for motor skill acquisition and interlimb transfer
    2025
    Scientific Reports
    Zhao J., Wang Y., Hou D., Sun S., Négyesi J., Inada H., Shioiri S., & Nagatomi R. (2025). Scientific Reports, 15(1), 26276.

Presentations

  • A unified neural model in representing and modulating decision parameters underlying emotional ambiguity
    2025
    Japanese Neuroscience Society Annual Meeting 2025
    Niigata, Japan
    Oral talk
  • EEG-Based Decoding of Voluntary Attentional Control: Differentiating Self-Initiated Shifts in a Visual Search Paradigm
    2025
    EPC & APCV Joint Meeting 2025, UNSW Conferences
    Sydney, Australia
    Poster
  • Attention guides reward-based decision-making as measured by SSVEPs
    2024
    Society for Neuroscience (SfN) Annual Meeting 2024
    Chicago, IL, USA
    Poster
  • Exploring Mechanisms of Self-initiated Attention Shifts: Analysis of Theta Wave
    2024
    The 16th Asia Pacific Conference on Vision (APCV 2024)
    Japan
    Poster
  • Self-initiation of attentional shift during visual search
    2023
    European Conference on Visual Perception (ECVP 2023)
    Paphos, Cyprus
    Oral talk, ECVP Student Travel Award recipient
  • Neural activities preceding self-initiated attention (alpha wave analysis)
    2023
    European Conference on Visual Perception (ECVP 2023)
    Paphos, Cyprus
    Poster (Shioiri S., Wu W., Kobayashi K., Hou D., et al.)
  • Critical brain states related with self-initiated attentional shift
    2022
    Journal of Vision (VSS / ECVP-affiliated abstract)
    Japan
    Talk (Wu W., Kobayashi K., Hou D., et al.)

Teaching

  • Teaching Assistant, Data Science and Machine Learning Courses
    2022
    Graduate School of Information Sciences, Tohoku University
    Role: Teaching Assistant
    Supervised lab sessions, assisted students with programming assignments, and supported course delivery across 7 data science and machine learning courses (2022–2024). Supervisors: Prof. Kazunori Yamada, Assoc. Prof. Samy Baladram.

Service

  • Editorial Board Member
    2026 - present
    Editorial board member of the peer-reviewed journal Interdisciplinary Information Sciences (ISSN 1347-6157 / 1340-9050), published semiannually by GSIS, Tohoku University.
  • Journal & Conference Reviewer
    Peer Review
    Journal of NeuroEngineering and Rehabilitation; Scientific Reports; Discover Neuroscience; ECML PKDD 2026; International Joint Conference on Neural Networks (IJCNN).

Languages

  • Chinese (Mandarin)
    Native or bilingual proficiency
  • English
    Professional working proficiency (TOEIC 910/990, TOEFL 90/120)
  • Japanese
    Limited working proficiency (JLPT N2)

Interests

  • Visual Attention
    Self-initiated attentional control, Eye movements, Visual search
  • Cognitive Neuroscience
    EEG oscillations, Neural decoding, Decision-making, sEEG