About Me

  • Keywords: Music and HCI (Interactive System on Musical Experience), Human-Artificial Intelligence Interaction, Natural Language Processing
  • Email: atsuya_wgp4346 at keio.jp
  • Hobbies: Electric Guitar, Drums, Electric Bass, Koto (Japanese Traditional Harp)

Education

Faculty of Environment and Information Studies, Keio University (04/2016 - present)

Research

  • Aoyama Lab. (04/2017 - 03/2019)
  • Computational Creativity Lab. (04/2019 - present)

Publications

Google Scholar

  • ExSampling: a system for the real-time ensemble performance of field-recorded environmental sounds, Conference paper on The International Conference on New Interfaces for Musical Expression 2020 (NIME2020) (7/2020) https://www.nime.org/

  • Decoding relative pitch imagery using functional connectivity: An electroencephalographic study, 2nd author of the conference paper on IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech) (3/2019) http://www.ieee-lifetech.org/2020/index.html

  • Classification of EEG data during imaging higher or lower pitched sounds using machine learning, Japanese Society for Medical and Biological Engineering (9/2018) http://jsmbe.org/en/

Grants

Keio SFC Eccentric Research Grant 2020

Job Experiences

CompanyRolePeriod
SynfluxAssistant Research SWE04/2020 - present
TechFlyer, Inc.Parttime Software Engineer04/2019 - present
CyberAgent AI LabSWE (Machine Learning) Internship02/2020 - 03/2020
Sansan DSOCSWE (NLP Research) Internship02/2019 - 03/2019
FRONTEO Bisiness Informatics LabNLP Research Internship09/2018 - 02/2019

Licenses & Certifications

Fundamental Information Technology Engineer Examination (2017/11)

Honors & Awards

優秀卒業プロジェクト, 慶應義塾大学湘南藤沢キャンパス 2020年度

https://www.sfc.keio.ac.jp/doc/sotsupuro2011-2020.pdf

3rd Prize, Excellent Student Paper Award, IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech 2019)

Co-author (2nd author) of accepted paper "Decoding Relative Pitch Imagery Using Functional Connectivity; An Electroencephalographic Study" by Sakamoto Shu. (3/2019)

3rd Prize, Data Science Challenge by FUJIFILM Brain(s)

Data Analysis (image recognition, image processing) Competition for students held by FUJIFILM AI Center (2/2019)

Digital Innovators Grand Prix 8, First runner-up

honor descriptionPresentation Title "Book Gym: Providing Extraordinary Reading by Redefined Value of Reading" http://dmc-lab.sfc.keio.ac.jp/dig7/ (3/2019)

Digital Innovators Grand Prix 7, First runner-up

honor descriptionPresentation Title "Improve Plan of Japanese Restaurant Review System Via Semantic Vectorization of Review Text" http://dmc-lab.sfc.keio.ac.jp/dig7/ (9/2018)


Languages / Skils

Natural

  • Japanese (native)
  • English (newbie)

Programming

  • Python
    Natural Language Processing, Data visualization, Machine Learning, Japanese Natural Language Processing, DNN with some libraries (scipy, sklearn, Keras, Pytorch, Optuna, gensim...etc), simple web api, Make LINE chatbot
  • JavaScript
    SPA with React, prototyping with Vue.js, Frontend Animation with JQuery, Simple web app tools on Google Apps Script.
  • R
    Data analysis and visualization (ex. multi var linear regression, generalized linear models (glmnet) etc..)
  • PHP
    Build CMS on WordPress (make custom theme from scratch)
  • HTML5/CSS3
    Markup, oocss like architecture responsive coding and simple animations.
  • Max/MSP
    OSC, Max for Live Devices