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:
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.
- Senior Technical Staff Member
- 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.
- Senior Technical Staff Member (09/2014-07/2016).
- 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.
- Manager, Analytics & Optimization (09/2010-09/2013).
Executive/Board Membership
- Today-2013: IBM Academy of Technology.
- 2015-2011: Secretary, Machine Learning Activity Group of the Japan Society for Industrial and Applied Mathematics (JSIAM-ML).
- 2014-2012: Board of Directors, The Japanese Society for Artificial Intelligence.
- 2010-2008: Vice Chair, Technical Committee on Information-Based Induction Sciences (IBIS), IEICE.
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
- Winner, ICDM Data Mining Contest, The 2007 Seventh IEEE International Conference on Data Mining.
- 2006
- JSAI Annual Conference Award, The 20th Annual Conference of the Japanese Society for Artificial Intelligence.
- 2004
- JSAI Annual Conference Award, The 18th Annual Conference of the Japanese Society for Artificial Intelligence.
- 1993
- Hatakeyama Award, The Japan Society of Mechanical Engineers.
- 1990
- Hatakeyama Award, The Japan Society of Mechanical Engineers.
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
- 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
- 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
- 2012
- 2011
- 2010
- 2009
- IADIS European Conference on Data Mining 2009 (ECDM 2009)
- JSAI 2009 Conference and Workshops, Japanese Society for Artificial Intelligence
- 2008
- JSAI 2008 Conference and Workshops, Japanese Society for Artificial Intelligence
- IADIS European Conference on Data Mining 2008 (ECDM 2008),
- The 11th Workshop on Information-Based Induction Sciences (IBIS 2008)
- 2007
- IADIS European Conference on Data Mining 2007 (ECDM 2007)
- The 10th Workshop on Information-Based Induction Sciences (IBIS 2007)