Tsuyoshi (“Ide-san”) Ide, Ph.D.

Tsuyoshi Ide, Ph.D. [CV:full,one-page]
Senior Technical Staff Member,
Member, IBM Academy of Technology,
IBM Thomas J. Watson Research Center 

Address: 1101 Kitchawan Road, Yorktown Heights, NY 10598, USA [map]

e-mail: ide@ide-research.net

Introduction

For more than a decade, I have been working on a variety of real-world business problems using advanced artificial intelligence (AI) technologies while publishing research papers in premier academic conferences and journals.

My primary research interest is in modeling complex real-world industrial problems with machine learning algorithms. Specifically, my work in anomaly detection can be thought of as one of the pioneering efforts in sensor data analytics, which is the key enabler of IoT  (Internet-of-Things) business. My publications cover the fields of machine learning, material science, applied optics, service computing, and project management. Their breadth and depth make me special as a business consultant as well.

In addition to research work, I have served as a people and project manager for years both in Japan and the United States.

Education

  • Ph.D. in Physics, The University of Tokyo, Japan, 2000.
    • Thesis: “Theoretical Study on Nonlocal Effects in Resonant X-Ray Emission Spectra of Strongly-Correlated Systems”
    • Supervisor: Prof. Kotani Akio
  • M.Sc. in Physics, University of Tokyo, Japan, 1997.
  • B.Eng. in Mechanical Engineering, Tohoku University, Japan, 1993.

Employment

I am a Green Card holder. I’m open to new job opportunities in the US and Japan.

  • Today-07/12/2016: IBM Thomas J. Watson Research Center (Full-time regular employment, 40 hours/week)
    • Senior Technical Staff Member
      • Lead customer engagements and provide the team with technical guidance.
      • Play a role of technical evangelist to influence IBM’s technical roadmap based on a broad range of experiences on real business.
      • Perform basic and applied research in AI to publish research outcomes in world premier conferences and journals as well as patents.
  •  07/11/2016-09/04/2013: IBM Thomas J. Watson Research Center (full-time, 40 hours/week, on international assignment from IBM Japan)
    • Senior Technical Staff Member (09/2014-07/2016).
      • Led several customer engagements to success as the technical leader in AI. Industries engaged include oil, mining, and chemical industries.
      • Developed innovative machine learning methods for industrial sensor data.
      • Published six first-authored papers in world’s premier conference and journals in AI.
    • Manager, Service Delivery & Risk Analytics (09/2013-09/2014).
      • Engaged in people, project, and research strategy management of the team.
      • Proposed new AI-based approaches to IT (information technology) system development.
      • Awarded two Outstanding Technical Achievement Awards by IBM Corporation for that work.
  • 09/03/2013-04/01/2000: IBM Research – Tokyo (full-time, 38 hours/week).
    • Manager, Analytics & Optimization (09/2010-09/2013).
      • Supervised the entire area of analytics at IBM Research – Tokyo (except for speech and text analytics).
      • Successfully established an organizational management model that balances business contributions and academic reputation.
      • Proposed a new business strategy based on AI technologies and led numerous customer engagements. Major successful projects include the development of intelligent transportation system in Kenya and a health monitoring system for ocean-going vessels. The latter won General Manager Award of IBM Japan.
    • Senior Researcher (2010-2013), Advisory Researcher (2008-2010), Staff Researcher (2005-2008)
      • Led basic and applied research in AI as a technical leader.
      • Launched the project of Sensor Data Analytics as a promising area of AI applications.
      • Major research achievements include the establishment of dependency-based anomaly detection method, which was awarded Outstanding Technical Achievement Award later.
    • Researcher (2000-2005)
      • Engaged in improving existing IBM products using mathematical science technologies.
      • Major contributions include a major improvement of luminance uniformity of IBM ThinkPad displays and the development anomaly detection solution of computer systems.

Executive/Board Membership

Awards/Honors

  • 2018
    • Outstanding Technical Achievement Award (for Business and Technical Leadership in Anomaly Analyzer of Correlational Data), IBM Corporation.
  • 2017
    • Best Author Award (for his article titled “Predicting project risks using latent trait model”), The Japan Society for Industrial and Applied Mathematics [link (in Japanese)].
  • 2016
    • Outstanding Technical Achievement Award (for Financial Risk Analytics for Strategic Outsourcing), IBM Corporation.
    • Outstanding Technical Achievement Award (for End-to-end Contract Profitability Analytics for ITS), IBM Corporation.
  • 2015
    • Outstanding Technical Achievement Award (for Fundamental Contributions to Anomaly Detection), IBM Corporation.
    • Research Division Award (for SO T&T Repeatable Model Phase II: Cost Analysis and Optimization), IBM Research.
  • 2013
    • General Manager Award, IBM Japan.
  • 2010
    • Research Division Award (for Parametric Analysis Center for Condition-Based Maintenance), IBM Research.
  • 2007
  • 2006
    • JSAI Annual Conference Award, for my paper titled “Theoretical basis for subsequence time-series clustering” presented at the 20th Annual Conference of the Japanese Society for Artificial Intelligence.
  • 2004
    • JSAI Annual Conference Award, for my paper titled “Eigenspace Approach to Anomaly Detection in Computer Systems” presented at the 18th Annual Conference of the Japanese Society for Artificial Intelligence.
  • 1993
  • 1990

Reviewer Assignments

Government grant reviewer

  • Council for the Humanities, Netherlands Organisation for Scientific Research, 2013.

Journal editor

Senior/advisory committee member

  • Publicity Chair, The 9th IEEE International Conference on Big Knowledge (IEEE ICBK 2018), 2018.
  • Industry/Research Advisory Committee Member, The Thirteenth International Conference on Autonomic and Autonomous Systems (ICAS 2017), 2017.
  • Senior Program Committee Member, 24th International Joint Conference on Artificial Intelligence (IJCAI-15), 2015.
  • Program Chair, The 12th Workshop on Information-Based Induction Sciences (IBIS 2009), 2009.

Technical program committee member

  • 2019
    • 2019 IEEE International Conference on Data Mining (IEEE ICDM 2019)
    • The 28th International Joint Conference on Artificial Intelligence (IJCAI-19; selected as Distinguished Program Committee Member)
    • The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 19)
    • The 28th ACM International Conference on Information and Knowledge Management (CIKM 2019)
    • 2019 International Conference on Blockchain and Trustworthy Systems (BlockSys 2019)
    • The 11th Asian Conference on Machine Learning (ACML 2019)
    • The 16th IFIP/IEEE International Symposium on Integrated Network Management (IM 2019)
  • 2018
    • 2018 IEEE International Conference on Data Mining (IEEE ICDM 2018)
    • The 10th Asian Conference on Machine Learning (ACML 2018)
    • The 27th International Joint Conference on Artificial Intelligence (IJCAI 2018)
    • The 2018 IEEE/IFIP Network Operations and Management Symposium (NOMS 2018)
  • 2017
    • The 9th Asian Conference on Machine Learning (ACML 2017)
    • The 15th IFIP/IEEE International Symposium on Integrated Network Management (IM 2017)
  • 2016
    • The IEEE/IFIP Network Operations and Management Symposium (NOMS 2016)
  • 2015
    • The 14th IFIP/IEEE International Symposium on Integrated Network Management (IM 2015)
  • 2013
    • The 30th International Conference on Machine Learning (ICML 2013)
    • The First International Workshop on Tera-Scale In-Core Data Mining (TIDM 2013)
  • 2012
    • The 4th Asian Conference on Machine Learning (ACML 2012)
  • 2011
    • 2011 SIAM International Conference on Data Mining (SDM 2011)
    • The 3rd Asian Conference on Machine Learning (ACML 2011)
    • IEEE International Workshop on Data Mining for Service (DMS2011)
  • 2010
    • IEEE International Workshop on Data Mining for Service (DMS2010)
    • International conference on IT and Business Intelligence (ITBI-10)
    • The 13th Workshop on Information-Based Induction Sciences (IBIS 2010)
  • 2009
    • JSAI 2009 Conference and Workshops, Japanese Society for Artificial Intelligence
  • 2008
    • JSAI 2008 Conference and Workshops, Japanese Society for Artificial Intelligence
    • The 11th Workshop on Information-Based Induction Sciences (IBIS 2008)
  • 2007
    • The 10th Workshop on Information-Based Induction Sciences (IBIS 2007)