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.

My primary research interest is in modeling complex real-world industrial problems with machine learning algorithms. Major research topics include:

  • anomaly and change detection
  • questionnaire analysis
  • trajectory mining, and
  • service science.

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

  • Review Editor, Data Mining and Management, Frontiers in Big Data
  • Guest Editorial Manager, Special Section on Information-Based Induction Sciences and Machine Learning, IEICE Transactions on Information & Systems
  • Associate Editor, Special Section on Data Mining and Statistical Science, IEICE Transactions on Information & Systems

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)