Invited Speakers

Invited Speakers

Novel evaluation method for motion trajectory of machine tool feed drives based on human visual sensitivity

Prof. Ryuta Sato
Designated Professor, Nagoya University (Japan)
E-mail :

Machined surface quality is typically evaluated based on their visibility through human eyes, especially in dies and molds, and designed surfaces such as smart phone cases. Visible glitches are frequently observed on the surface due to imperfection of motion trajectory of machine tool feed drives. Regarding the problem, it is empirically known that the visibility of the glitches is not directly related with size of the errors. This study proposes a novel motion trajectory evaluation method based on human visual sensitivity related with surface quality. The human visual sensitivity is investigate based on the reflectance model and the visible limit of the geometrical property is formulated. Motion trajectories are evaluated based on the investigated visual sensitivity to demonstrate validity of the proposed method.

Prof. Sato is currently a designated professor at Graduate School of Engineering, Nagoya University, Japan. He received his PhD degree in Engineering from Tokyo University of Agriculture & Technology (TUAT). He started to work at TUAT as an assistant professor, after that he joined in Advanced Technology R&D center in Mitsubishi Electric Corporation. He joined Kobe University in 2010 and Nagoya University in 2022. His research areas include modeling and control of NC machine tools, feed drive systems, and five-axis machining technologies. He has published more than 100 academic papers and owned around 30 patents of PCT, USA, Europe and Japan. He received more than 20 awards such as the JSME Medal for Outstanding Paper in 2019, Young Scientists’ Prize from the Minister of Education, Culture, Sports, Science and Technology in 2015, and JSPE Best Paper Award in 2007.

Research activities in the Industrial Cyber-Physical Systems Research Center, AIST for human-centric digital manufacturing

Dr. Hitoshi Komoto
Chief Senior Researcher, National Institute of Advanced Industrial Science and Technology (AIST) (Japan)
E-mail :

The Industrial Cyber Physical Systems Research Center, AIST, drives the development of digital manufacturing by using technology that integrates AI, robots, sensors, etc. to cooperate with humans to solve the problems of declining birthrate and aging population, which is one of the social issues in Japan. Our research works aim to establish technologies for the optimization of labor input resources, improvement of employee quality of work, creation of new customer value, inheritance of skills, and sophistication in anticipation of changes in the industrial structure. In the talk, our research activities will be presented, including the factory environment in the manufacturing field and the retail store environment in the logistics field, and are promoting industry-academia-government collaboration activities through collaborative research and consortium partnerships. In addition, we will introduce the newest research site in Hokuriku, which opened last year.

Dr. Hitoshi Komoto studied his career as researcher at AIST in 2011. He studies information models and simulation techniques used in various product life cycle stages in the manufacturing industry such as factory simulation, production scheduling, and product life cycle simulation, across research units at AIST, including Advanced Manufacturing Research Institute and Industrial Cyber-Physical Systems Research Center.

He is a guest researcher at University Strathclyde (2018), the University of Tokyo (2020-present), and Technical University Berlin (2023-present). He was served as assistant director, Industrial Machinery Division, Manufacturing Industries Bureau, the Ministry of Economy, Trade and Industry (METI), between 2016 and 2017.

He is an associate fellow of CIRP, the International Academy for Production Engineering, a member of the Japan Society for Precision Engineering (JSPE), a member of Japan Society of Mechanical Engineers (JSME).
Regarding international standardization activities in smart manufacturing, he is active as expert of IEC System Committee Smart Manufacturing (SyCSM) /OF1, and of ISO TC184/SC5/WG10.

Dr. Hitoshi Komoto received B.Sc. and Dipl-.Ing in Universitaet Karlsruhe (currently known as Karlsruhe Institute of Technology), Germany, in 2003 and 2004, respectively, and received Dr. in Delft University of Technology, the Netherlands, in 2009.

The digital twin brings the machine to the office

Mr. Dongyul Ahn
Director, HEIDENHAIN Korea Ltd. (Korea)
E-mail :

In the office, the Digital Twin allows you to leverage the actual kinematics, parameters, and functions of your machine during part design, program creation, and simulation. On the shop floor, you benefit from reduced setup and simulation times, less program debugging, greater process reliability, and higher productivity. Beyond assisting in the creation of a verified NC program, the Digital Twin also provides support for quoting, job planning, and expert-level TNC training.

Mr. Dongyul Ahn joined Heidenhain Korea Ltd in 2006. He started as a technical engineer and participated in 5-axis projects for almost all major Korean machine tool manufacturers. Since 2014, he has been the Director of CNC Sales & Marketing at Heidenhain Korea. His company opened an Application Center in 2015 to support high-end manufacturing technology. He works together with expert engineers, and they have extensive experience from the actual working field. Digital twin is a hot topic in the market now, and Heidenhain offers optimized solutions for the actual manufacturing process.

Additive Manufacturing as the enabler of digital transformation in sustainable production

Mr. Brian Moon
Country Manager, Stratasys Korea (Korea)
E-mail :

Nowadays, manufacturers encounter many challenges like enhancing OEE (Overall Equipment Efficiency), responding supply chain issues, rising cost of energy, geospatial risk and ESG related regulations/requirements.
To overcome these challenges, manufacturers take a journey of digital transformation. However, digital transformation in production side (especially, factory floor) is still focusing on IT/OT integration by adding sensors to old machines or adopting new IoT ready subtractive manufacturing equipment. Additive Manufacturing can be the enabler of digital transformation in production, which provide sustainability to a factory floor.
In this presentation, I will introduce the latest status of Additive Manufacturing, its sustainability and near future outlook on autonomous digital manufacturing.

Mr.Moon is the country manger of Stratasys Korea, global no.1 leader in Additive Manufacturing.
Mr.Moon is a business executive with technical/business expertise of IT strategic consulting, digital transformation & additive manufacturing at global companies including IBM, JDA, PTC and Stratasys for more than 27 years as a country manager, strategic consultant and project manager.
Mr.Moon has proven track records in guiding customer셲 DT (Digital Transformation) journey by working as a consultative customer advisor with various combination of solutions including IoT, CAD, AR/VR, ALM (Application Lifecycle Management), SLM (Service Lifecycle Management) and Additive Manufacturing.
Mr.Moon received a bachelor셲 and master셲 degree of aerospace engineering from Seoul National University in 1995 and 1997.

AI-based autonomous Factory solutions & Use Case

Mr. Jason Park (Jung Yoon Park)
President and CEO, INTERX Co., Ltd. (Korea)
E-mail :

An intelligent autonomous factory controls the main facilities of the process to optimize real-time production plants and minimize the occurrence of problems by utilizing digital technologies such as automated production facilities, manufacturing AI, and digital twin technologies for unmanned or minimal people. Autonomous factories advance factory facilities and manufacturing systems that produce products by themselves by intelligent systems.

Using various AI models and digital twin technologies for autonomous factories, it optimizes the operation of production facilities for each process and predicts quality problems in advance to prevent defects. Produced products autonomously judge the quality of the final product using inspection AI and, when quality problems arise, deliver them to AI to optimize production conditions in the production process to help prevent problems.
As a representative example, we present a case of building a plastic injection product plant and a CNC precision processing plant as autonomous factories.

Jung Yoon Park currently serves as CEO of INTERX, which provides solutions for autonomous factories and autonomous machines based on manufacturing AI and digital twin technology. Since 2016, he has been a professional researcher at the UNIST Graduate School of MOT and the Manufacturing Innovation Institute, conducting research on technologies, policies, and methodologies for digital transformation in the manufacturing industry. He founded INTERX in 2020 and is growing it to this day. He is an adjunct professor at the UNIST Graduate School of MOT, where he lectures on digital transformation strategies and smart factory advancement strategies in the manufacturing sector.
Jung Yoon Park previously worked as a researcher on production technology for Hyundai Motor Company and Toyota Motor Company and serves as the planning chairman of the Korea Industry 4.0 Association.
Jung Yoon Park is working as an expert in establishing technology strategies necessary for digital transformation, such as smart products and services for digital transformation of the manufacturing industry, manufacturing system advancement, and flexible supply chain, in cooperation with global professional organizations (IIC, IDTA).