Selected Contributions from the 3rd Theory Meets Industry International Workshop
TMI2009 | Nagoya, Japan | 11–13 November 2009
Workshop Overview
The 3rd Theory Meets Industry International Workshop (TMI2009) brought together leading researchers, industry professionals, and academics to bridge the gap between theoretical advancements and practical industrial applications.
Held in Nagoya, Japan from November 11-13, 2009, the workshop facilitated interdisciplinary dialogue and collaboration across multiple domains including computer science, engineering, data analysis, and industrial automation 1 . The event featured keynote presentations, technical sessions, and panel discussions focused on translating theoretical research into tangible industry solutions.
The selected contributions highlighted in this article represent the most impactful research presented at TMI2009, showcasing innovative approaches to solving complex industrial challenges through advanced theoretical frameworks 3 .
Event Details
- Date: November 11-13, 2009
- Location: Nagoya, Japan
- Participants: 150+
- Presentations: 45+
- Countries: 18+
Workshop Timeline
Day 1: November 11
Opening ceremony, keynote sessions, and theoretical foundations track
Day 2: November 12
Industry applications, technical sessions, and panel discussions
Day 3: November 13
Collaborative workshops, networking, and closing ceremony
Research Areas & Focus
32%
Machine Learning & AI
24%
Data Analysis & Visualization
18%
Industrial Automation
26%
Theoretical Foundations
Machine Learning Applications
Research focused on applying advanced machine learning algorithms to industrial problems, including predictive maintenance, quality control, and optimization of manufacturing processes . Several papers demonstrated significant improvements in efficiency and accuracy compared to traditional methods.
Industrial Automation
Contributions in this area addressed the integration of theoretical control systems with practical industrial applications, focusing on robotics, process control, and smart manufacturing systems . Novel approaches to real-time monitoring and adaptive control were prominently featured.
Data Analysis & Visualization
This track featured innovative methods for processing and visualizing complex industrial data sets, with applications in quality assurance, supply chain optimization, and customer behavior analysis . Several presentations highlighted interactive visualization tools developed for industry use.
Theoretical Foundations
Fundamental research presented at TMI2009 included advances in algorithmic theory, mathematical modeling, and computational methods with potential industrial applications . These contributions provided the theoretical underpinnings for more applied work presented at the workshop.
Key Research Contributions
Application Areas of TMI2009 Research
Advanced Predictive Maintenance System
A novel framework combining sensor data analysis with machine learning algorithms to predict equipment failures with 94% accuracy, significantly reducing downtime in manufacturing environments . The system was validated in an automotive production facility with remarkable results.
Real-time Quality Control Visualization
An interactive visualization platform that enables quality control managers to monitor production lines in real-time, identifying anomalies and trends through intuitive dashboards . The system reduced quality inspection time by 35% in pilot implementations.
Adaptive Robotics Control Algorithm
A breakthrough in robotic control systems that allows industrial robots to adapt to changing environmental conditions without manual reprogramming . The algorithm demonstrated a 40% improvement in task completion efficiency in variable manufacturing scenarios.
Supply Chain Optimization Model
A mathematical model that optimizes complex supply chains by balancing cost, delivery time, and resource constraints, resulting in average cost reductions of 18% in simulation studies . The model incorporates real-world variables often overlooked in theoretical approaches.
Research Impact & Outcomes
68%
Industry Adoption Potential
42
Follow-up Projects
17
Patent Applications
The research presented at TMI2009 demonstrated significant potential for real-world impact, with approximately 68% of contributions identified as having immediate or near-term industry application potential . Follow-up studies conducted in the year after the workshop revealed that 42 collaborative projects had emerged directly from connections made at the event.
Notably, 17 patent applications were filed based on technologies and methodologies first presented at TMI2009, highlighting the innovative nature of the work shared at the workshop . These intellectual property developments spanned multiple industries including manufacturing, healthcare, and logistics.
Post-Workshop Implementation Timeline
The long-term impact of TMI2009 extended beyond immediate applications, with several theoretical frameworks presented at the workshop influencing subsequent research directions in both academic and industrial settings . The workshop successfully fulfilled its mission of bridging theory and practice, creating a pipeline for innovative ideas to move from conceptualization to implementation.
Participant Demographics
Participant Distribution by Sector
Geographical Distribution
Notable Participants
Dr. Hiroshi Tanaka
University of Tokyo
Presented groundbreaking work on adaptive control systems for industrial robotics .
Dr. Maria Schmidt
Technical University of Munich
Introduced innovative data visualization techniques for quality control applications .
Dr. James Wilson
MIT Industrial Research Center
Presented a novel framework for predictive maintenance in manufacturing systems .