Cloud Architect & Researcher in
  Quant. and Qual. Human Dynamics

Experience

Executive Summary

• X (Cross Solutions) Cloud Solution Architect with a track record in AI app innovation. Since joining Microsoft in 2021 as a new grad (Aspire programme), I have led PoCs for global clients and now also serve as a Technical Evangelist for AI apps.

• Concurrently, Research Fellow at National University of Singapore (NUS) in collaboration with Tsinghua University, specialising in quantitative human dynamics. With 10+ publications from institutions such as Microsoft, NNUS, IBM Research, and Yahoo Japan Research, I'm adept in developing human-centric frameworks integrating modelling techniques and algorithms.

• Incoming Ph.D. Student in Informatics focusing on qualitative human dynamics (Trust in AI and XAI) at Cyber Interface Lab (Prof. Hideaki Kuzuoka)

Work Experience & Research Initiatives

Microsoft

X Cloud Solution Architect (2024 - Present)

• Handpicked Architect Team: Engages only in flagship projects that span across AI, app platforms, and edge tech etc., addressing high complexity and integration challenges.

• 1 Award: The 1st prize in Microsoft Global Hackathon 2024, Collaborated with a team of 8 members from around the world.

Technical Evangelist (Concurrent) (2023 - Present)

• AI App Evangelism: Concurrently, allocated up to 20% of work hours to evangelism on AI App, with more than 50+ talks, sessions, and events.
  Microsoft Evangelist Profile (microsoft.com)
  

App Innovation Technical Specialist (New Grad Hire) (2021 - 24)

• App Innovation Technical Specialist: Achieved 172% cloud growth for 3 VIP clients (FY23) and 131% for the entire manufacturing VIPs (FY24), assigned exceptionally to a new grad hire, by engaging in app innovation and leading PoCs collaborating closely with product groups.

• 2 Publications: Published research on a cloud-native analytical framework for modelling human mobility at IEEE, India, 2023, and on juxtaposition of individual and group mobility from WiFi in Journal of Location-Based Services, 2024.

• 2 Awards: Received an award at Microsoft Global Hackathon 2022, managing 22 members from 6 countries, as well as 2023, teaming up with a leadership team of Microsoft AI at US HQ.

National University of Singapore

Research Fellow (2021 - Present)

• Dual Role: Research Fellow at NUS in collaboration with Tsinghua University in China while working at Microsoft.

• Macro-geo Research: Joined an international research group, focusing on extracting semantics from human mobility and modelling human-centric interactions with building structures.

• 2 Publications: Published research on a cloud-native analytical framework for modelling human mobility at IEEE, India, 2023, and on juxtaposition of individual and group mobility from WiFi in Journal of Location-Based Services, 2024.

IBM Research

Student Fellow (2018)

• Accessibility Research: Engaged in an accessibility research group to improve localisation accuracy for visually impaired individuals by integrating human-centric modelling and computer vision techniques.

• 1 Publication: Published research in Proceedings of Information Processing Society of Japan (IPSJ), 2018.

• 2 Awards: Received Yamashita SIG Annual Research Award from IPSJ, 2020, as well as Honourable Mention Award, 2018.

Yahoo Japan Research

Student Fellow (2017 - 18)

• Micro-geo Research: Engaged in collaborative graduation research focused on counteracting aging deterioration of localisation models and developed a training dataset selection algorithm using transfer learning and clustering WiFi data.

• 3+ Publications: Published 3+ research papers at esteemed conferences such as UbiComp, US, 2017.

• 1 Award: Received a Best Paper nomination at IEEE IPIN, Italy, 2019.

Award

• Winning Award (1st in Japan) at Microsoft Global Hackathon - the world's largest hackathon, 2024.
• Winning Award (2nd in Japan) at Microsoft Global Hackathon - the world's largest hackathon, 2023.
• Winning Award (3rd in Japan) at Microsoft Global Hackathon - the world's largest hackathon, 2022.
• Yamashita (Founder) SIG Annual Research Award, IPSJ, 2020.
• Best Paper Nomination, IEEE IPIN, 2019.
• Repayment Exemption from JASSO Student Loans for Excellent Achievements, 3,100 USD, 2019.
• Honourable Mention Award, IPSJ SIG AAC (Assistive and Accessible Computing), 2018.
• Future Generation Person Award, 1,000 USD, 2018.
• Dean's Award, 100 USD, 2018.
• Promising and Prospective Person Award, 4,500 USD, 2017.
• Founder Memorial Award (Best Student Award), 6,000 USD, 2017.
• Founder Memorial Award (Best Student Award), 7,000 USD, 2016.
• Founder Memorial Award (Best Student Award), 7,000 USD, 2015.

Publication

Peer-Reviewed Journals (Full Paper)

• (In peer review) Yamamoto, K., Lim, J., Biljecki, F. and Stouffs, R. How Long, Which, and What to Model: A Cloud-Native Framework for Human Mobility Simulation in Built Environment.
• Yamamoto, K., Zhou, G., and Feng, C. 2024. Juxtaposing individual and group mobility from sparse Wi-Fi signatures with cloud-assisted computing: a case study for a multidisciplinary university campus, Journal of Location Based Services, 18(2), 205–236. DOI: 10.1080/17489725.2024.2330922
• 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, pp. 102563.
• 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), pp.73-84.

Peer-Reviewed Proceedings (Full Paper)

• Yamamoto, K., Lim, J., Biljecki, F. and Stouffs, R., 2023. Analytical Framework in Cloud-Native Environments for Auto-Modelling Sparse Human Mobility Considering Memory of Past Contexts. In: Proceedings of 13th IEEE International Conference on Cloud Computing, Data Science and Engineering, India, pp. 87-91.
• Tsubouchi, K., Yamamoto, K. and Nishio, N., 2019. No-Sweat Detective: No Effort Anomaly Detection for Wi-Fi-Based Localisation. In: Proceedings of IEEE International Conference on Indoor Positioning and Indoor Navigation, Italy, pp. 1-8.
• 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 EAI International Conference on Mobile Computing, Applications and Services, Japan, 40.
• 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 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the ACM International Symposium on Wearable Computers (Ubicomp'17), USA. pp. 547-556.

Peer-Reviewed Proceedings (Extended Abstract)

• Yamamoto, K., Murata, M. and Sato, D., 2018. Localisation Method Considering Characteristic Movements of Visually Impaired Persons (in Japanese). In: Proceedings of IPSJ SIG AAC Conference on Assistive and Accessible Computing, Japan, pp. 1-7.
• Yamamoto, K., Tsubouchi, K. and Nishio, N., 2017. Anomaly Detection Method Specialized for Aging of Wi-Fi Localisation Model (in Japanese). In: Proceedings of Kobe University Ubiquitous and Wearable Workshop, Japan.
• 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 IPSJ Conference on Multimedia, Distributed, Cooperative and Mobile Symposium, Japan, 1754-1760.

Theses

• Yamamoto, K., 2020. Juxtaposed Analysis of Individual and Group Movements from WiFi Signatures. M.Sc. Thesis, 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.Engineering Thesis, Research Advisor: Nishio, N.

Presentation

• Yamamoto, K & Ueno, H. 2024. Designing Next-Generation App Architecture Integrating with Generative AI, Microsoft AI Tour, Tokyo and Osaka.
• Yamamoto, K. & Okazaki, T. 2023. Use of Generative AI at Japan Association of Corporate Executives (経済同友会).
• Yamamoto, K., 2023. Analytical Framework in Cloud-Native Environments for Auto-Modelling Sparse Human Mobility Considering Memory of Past Contexts. At 2023 IEEE International Conference on Cloud Computing, Data Science and Engineering, 19-20 January 2023 New Delhi, India.
• Yamamoto, K., 2019. No-Sweat Detective: No Effort Anomaly Detection for Wi-Fi-Based Localisation. At 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 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 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 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 2017 Kobe University Ubiquitous and Wearable Workshop, 22-23 December 2017 Hyogo, Japan.
• Yamamoto, K., 2017. Cross-Interactivity in EdTech. At 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 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of 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 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.

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