Compute your Curiosity





  • Azure App Innovation
    & Spatiotemporal Research

About

Kohei YAMAMOTO ( 山本晃平 ), is Japanese lived in Japan and Singapore thus far. He first interacted with the study of computer science by programming CPU architecture in his bachelor's study. After he spent 3- years on campus, he started delving into locationally-micro studies; wireless localisation, at the age of 21 while collaborating with one of the Internet pioneers, and he spent most of the time at their lab.

He finished his undergraduate program as the top-placed graduate then took 1+ years off and dived into industrial practices to see the various layers of IT domain at: a world-renowned research institution, Big Tech (GAFAM), Japanese unicorn and American startup. Accordingly, he engaged in their data-scientific projects.

After his gap year, he determined to pursue a master's degree and enjoyed himself with more locationally-macro studies, he then solidified his research interests in spatiotemporal analysis, human mobility and computational social science. After his master degree was conferred as one of the top graduates, he served as a full-time research staff at the university, and at the same time, worked for another Japanese startup upon his analytical skills.

At present, he is working full-time (new grad FTE) as an Azure App Innovation Specialist at an IT platformer to help companies migrate into the cloud and envision their business. In parallel, he is continuously serving as a spatiotemporal researcher at the university and demonstrating data modelling & integrations considering environmental-behavioural parameters.

Hashtag

Cloud Architecture, Spatiotemporal Analysis, Human Mobility, Computational Social Science, Locational Big Data, Wireless Localisation, Applied ML, GIS, HCI, Accessibility

Experience

(Executive Summary; Contact me for my full CV)

  • Azure technical specialist with progressive experience from building customer relationships, managing projects, designing cloud architectures to implementing a good deal of PoC. Extensive experience is concurrently in product management as a transformational lead of employee initiative and in supervision of cross-functional teams developing a platform to boost collaboration across all levels of an organisation.

  • Spatiotemporal researcher with a proven record of publications (>10) at universities and research institutions via 6-7 years of experience. Interests are in micro (localisation) and macro (mobility) locational studies, and skilled in advocating systematic frameworks afresh through data modelling and algorithm integration.

Work & Research Experience

Azure App Innovation Specialist (New Grad FTE) @ Microsoft, 2021 - Present

  • Azure, App, Data & AI Consulation, Cloud Architecture

Spatiotemporal Researcher (FTE/External) @ National University of Singapore, Dept of Architecture, 2021 - Present

  • Human Mobility, Spatiotemporal Data Modelling and Integration

Student Fellow @ IBM Research, 2018

  • Localisation, Human Computer Interaction, Accessibility

Collaborative Researcher (in Graduation Research) @ Yahoo Japan Research, 2017 - 18

  • Localisation, Locational Big Data, Machine Learning

Latest Education

M.Sc. in App Geo Info Sys @ National University of Singapore, Dept of Geography, Class 2021

  • Spatiotemporal Analysis, Human Mobility, Computational Social Science, Locational Big Data

  • Top-Placed Cohorts

Publication

Reviewed Articles

  • Yamamoto, K., Zhou, G. and Feng, C., 2020. Research Relating to Extraction of Human Dynamics and Patterns Analysing WiFi Signatures. (Under peer-review)
  • Tran, P., Zhao, M., Yamamoto, K., Minet, L., Nguyen, T. and Balasubramanian, R., 2020. Cyclists’ personal exposure to traffic-related air pollution and its influence on bikeability. Transportation Research Part D: Transport and Environment, 88, 102563.
  • Tsubouchi, K., Yamamoto, K. and Nishio, N., 2019. No-Sweat Detective: No Effort Anomaly Detection for Wi-Fi-Based Localisation. In Proceedings of the 2019 IEEE International Conference on Indoor Positioning and Indoor Navigation, 30 September-3 October 2019 Pisa, Italy. 1-8.
  • Yamamoto, K., Kan, F., Murao, K., Mochizuki, M. and Nishio, N., 2019. Manual Grading Task Support System with Interactive Correction Mechanism. The Transactions of Human Interface Society, 21 (1), 73- 84.
  • Yamamoto, K., Murata, M. and Sato, D., 2018. Localisation Method Considering Characteristic Movements of Visually Impaired Persons (in Japanese). In Proceedings of the 2018 IPSJ SIG AAC Conference on Assistive and Accessible Computing, 24-25 August 2018 Tokyo, Japan. 10, 1-7.
    • Award: Yamashita (Founder) SIG Annual Research Award, 2020. (Peer/Committee-reviewed)
    • Award: Honourable Mention Award, 2018.
  • Yamamoto, K., Kan, F., Murao, K., Mochizuki, M. and Nishio, N., 2018. GERMIC: Application of Gesture Recognition Model with Interactive Correction to Manual Grading Tasks. In Proceedings of the 2018 EAI International Conference on Mobile Computing, Applications and Services. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 28 February-2 March 2018 Osaka, Japan. 240.
  • Kawanaka, K., Yamamoto, K., Tsubouchi, K., Murao, K., Mochizuki, M. and Nishio, N., 2017. Detecting Aged Deterioration of a Radio Base Station Map for Wi-Fi Positioning. In Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers (Ubicomp'17), 11-15 September 2017 Hawaii, USA. 547-556.
  • Kan, F., Yamamoto, K., Murao, K., Mochizuki, M. and Nishio, N., 2017. Implementation of Scoring System by Handwriting Recognition and Interactive Correction Mechanism (in Japanese). In Proceedings of the 2017 IPSJ Conference on Multimedia, Distributed, Cooperative and Mobile Symposium, 28-30 June 2017 Hokkaido, Japan. 1754-1760.

Thesis & Others

  • Yamamoto, K., 2020. Juxtaposed Analysis of Individual and Group Movements from WiFi Signatures. M.Sc. Thesis (Marked 5.0/5.0). (Research Advisors: Zhou, G. and Feng, C.)
  • Yamamoto, K., 2018. Anti-Aging Calibration Methodology with User Log-Oriented Anomaly Detection for Wi-Fi Fingerprinting Localisation. B.Eng. Thesis (Marked 5.0/5.0). (Research Advisor: Nishio, N.)
    • Award: Best Presenter Award.
  • Yamamoto, K., Tsubouchi, K. and Nishio, N., 2017. Anomaly Detection Method Specialized for Aging of Wi-Fi Localisation Model (in Japanese). In Proceedings of the 2017 Kobe University Ubiquitous and Wearable Workshop, 22-23 December 2017 Hyogo, Japan. 43.

Presentation

  • Yamamoto, K., 2019. No-Sweat Detective: No Effort Anomaly Detection for Wi-Fi-Based Localisation. At the 2019 IEEE International Conference on Indoor Positioning and Indoor Navigation, 30 September-3 October 2019 Pisa, Italy.
  • Yamamoto, K., 2018. Localisation Method Considering Characteristic Movements of Visually Impaired Persons (in Japanese). At the 2018 IPSJ SIG AAC Conference on Assistive and Accessible Computing, 24-25 August 2018 Tokyo, Japan.
  • Yamamoto, K., 2018. GERMIC: Application of Gesture Recognition Model with Interactive Correction to Manual Grading Tasks. At the 2018 EAI International Conference on Mobile Computing, Applications and Services, 28 February-2 March 2018 Osaka, Japan.
  • Yamamoto, K., 2018. Anti-Aging Calibration Methodology with User Log-Oriented Anomaly Detection for Wi-Fi Fingerprinting Localisation. At the B.Eng Thesis Defence, 8 February Shiga, Japan.
  • Yamamoto, K., 2017. Anomaly Detection Method Specialized for Aging of Wi-Fi Localisation Model (in Japanese). At the 2017 Kobe University Ubiquitous and Wearable Workshop, 22-23 December 2017 Hyogo, Japan.
  • Yamamoto, K., 2017. Cross-Interactivity in EdTech. At the 2018 Japan-China Conference of University Presidents as a representative, 18-22 October 2017 Dalian, China.
  • Yamamoto, K., 2017. Detecting Aged Deterioration of a Radio Base Station Map for Wi-Fi Positioning. At the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers (Ubicomp'17), 11-15 September 2017 Hawaii, USA.
  • Yamamoto, K., 2017. Implementation of Scoring System by Handwriting Recognition and Interactive Correction Mechanism (in Japanese). At the 2017 IPSJ Conference on Multimedia, Distributed, Cooperative and Mobile Symposium, 28-30 June 2017 Hokkaido, Japan.
  • Yamamoto, K., 2016. Acceleration of Mutual Interaction Using IT Media. As a delegation to USA from the Ministry of Foreign Affairs of Japan, 8-15 March San Jose, USA.

Award

  • Yamashita (Founder) SIG Annual Research Award (山下記念研究賞), IPSJ, 2020.
  • Best Paper Nomination, IEEE IPIN, 2019.
  • Repayment Exemption from JASSO Student Loans for Excellent Achievements (特に優れた業績による返還免除), 3,100 USD, 2019.
  • Honourable Mention Award, IPSJ SIG AAC (Assistive and Accessible Computing), 2018.
  • Award for person creating the future, 1,000 USD, 2018.
  • Dean's Award for outstanding person, 100 USD, 2018.
  • Award for promising and prospective person, 4,500 USD, 2017.
  • Founder Memorial Award for best student, 6,000 USD, 2017.
  • Founder Memorial Award for best student, 7,000 USD, 2016.
  • Award for MIPS・TCP/IP report, 500 USD, 2016.
  • Founder Memorial Award for best student, 7,000 USD, 2015.

Contact

For a detailed CV or any queries, send a message to e0457789[AT]u[dot]nus[dot]edu