Profile
- Bachelor of Agriculture, Tottori University Doctor of Engineering, Ritsumeikan University Graduate School of Science and Engineering, Department of Electronic Systems
- Former Director, Second Systems Laboratory, Panasonic Advanced Technology Corporation; Senior Advisor, Strategic Planning Office, Panasonic Advanced Technology Corporation; Former Deputy Director, Energy Device Development Center, Technology Division, TDK Corporation; Director, Munich R&D Center, Technology Division, TDK Corporation; General Manager, Engineering Department, Quality Assurance Division, TDK Corporation
Message
In modern society, the advancement of AI and globalization has led to an increase in complex problems that cannot be addressed by specialized knowledge alone.Amid the rapid evolution of these technologies and the increasing sophistication and convergence of specialized skills, there is a growing demand for immediately deployable talent who possess comprehensive abilities to tackle complex problems. This includes grasping the essence of the issue, setting appropriate objectives, acquiring knowledge across a wide range of fields, and effectively applying that knowledge to solve problems.Th
e advent of AI has ushered in an era of drastic transformation, affecting not only industrial structures but also social structures and values.What we expect from that AI is the promotion of efficiency and innovation.Meanwhile, the emergence of generative AI is advancing the democratization of AI, enabling anyone to use AI without specialized knowledge. However, the use of generative AI also raises social issues such as privacy violations and lack of fairness.However, it goes without saying that controlling AI—which can be either a blessing or a curse—is a matter for human wisdom.What matters is that we use AI as a tool without overestimating its capabilities.To enhance AI accuracy, users of generative AI must not only master prompt engineering techniques that account for its characteristics, but also clarify the fundamental aspects of what to ask and what they want to achieve. This requires domain expertise and IT knowledge to articulate their desired outcomes concretely.Furthermore, generative AI carries risks such as generating erroneous information known as hallucinations and producing content that may infringe on copyrights. Therefore, it is essential to verify the sources of AI-generated content, accurately assess its authenticity, make informed judgments, and possess the expertise to take appropriate action when necessary.Th
e rapid evolution of AI technology may leave you bewildered, and you might feel uneasy about the uncertain future of society.However, you must first take action.Keep going without fear of failure.With single-minded devotion.You can always look back and reevaluate each failure as it happens.We will fully support you in acquiring a broad range of knowledge in AI, data science, and other fields at our university, enabling you to become professionals who can apply this knowledge to solve real-world problems and thrive in society. We do this through hands-on classes that incorporate practical experience from the corporate world.I have high hopes for your courage and initiative in tackling the complex issues facing our society, without fear of failure.
Responsible Subject
- Exploratory data analysis and visualization
- Production System Engineering
- Robots and Artificial Intelligence
- Senior Cybersecurity
Field of Specialization
- Social Implementation of Artificial Intelligence and Deep Learning
- Object Recognition, Anomaly Detection, State Estimation
- IoT Security, Privacy Protection
Business Performance
Paper
- Takahiro Shiohara, Masahiro Fukui, “A Pin Assignment and Global Routing Algorithm for Floorplanning”, IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E81-A, No. 8, pp. 1725-1732, 1998.
- Takahiro Shiohara, Manabu Uchino, Masahiro Fukui, “Exploration of an Automatic Extraction Method for Pore Information in Lithium-ion Batteries Using Image Analysis with Deep Learning,” IEICE Transactions on Communications, J103-C, No. 3, pp. 143-152, 2020.
- Takahiro Shiohara, Masahiro Fukui, “High-Efficiency and High-Reliability Residual Estimation Using LSTM Based on Transfer Learning and Teacher Data Construction Employing Statistical Estimation Methods,” IEICE Transactions on Communications, J105-B, No. 3, pp. 96-105, 2022.
- Takahiro Shiohara, “Research on State Estimation Technology for Lithium-ion Batteries Using Deep Learning (Doctoral Dissertation),” Graduate School of Science and Engineering, Ritsumeikan University, March 2022
Development Performance
Key Achievements at Panasonic Group
- Digital Network-Related Software Development Management
- Overall Management for the Implementation of Quality Management Systems and Information Technology Management Systems
Key Achievements at TDK
- Established the software development framework and software development process as the responsible party
- Development and management oversight of materials informatics themes utilizing energy-related products (EV power supplies, contactless power delivery, battery BMS, agricultural IoT, etc.) and AI
- Established the Munich R&D Center in Europe and, as its head, built a bridgehead for the European strategy.
- Technical Management Oversight for Preventing Defective Product Release and Improving Yield in the Final Appearance Inspection Process Using AI in Manufacturing Plants
- Launch of PSIRT for IoT Product Security Response Activities and Technical Oversight Management
Lecture
- DJW (日独産業協会) "Asa no Kai" in Munich, Germany, "ELECTRONICS AND ELECTRICAL COMPONENTS FOR E-MOBILITY AND SELF-DRIVING CARS - A JAPANESE COMPANY’S POINT OF VIEW", 14 Sep. 2017.
- Challenges and Prospects for Industry-Academia Collaboration in Cybersecurity, Keynote Address at the Juntendo University Urayasu/Hinode Campus Inaugural Symposium (Panel Discussion/Panelist), November 12, 2023
- TDK Internship Lecture: “Understanding the Engineer's Role from a Senior Technical Leader,” February 29, 2016
Patent Registration
- Delay Analysis Method for Hierarchical Placement and Routing Systems (Patent No. 2506909), September 1988
- Pin Placement Optimization Method and Pin Coordinate Representation Method (Patent No. 2595705), August 1989
- System for assigning positions of block terminals in a VLSI (US Patent:5404313), April 1995
- Water Temperature Control System (Patent No. 6555083), August 2015
- Agricultural Work Support Device and Agricultural Work Support Program (Patent No. 6524851), February 2015
- Plasma Generator (Patent No. 7124705), November 2017
- Plasma Generator (Patent No. 6958213), May 2019
Other (Qualifications, Committee Activities)
- 2015 JEITA (Japan Electronics and Information Technology Industries Association) Autonomous Driving System Research Committee Member
- 2017 DJW (Japan-Germany Industrial Association) Committee Member