Dr. Krzysztof (Kris) Krystosiak
Dr. Krzysztof (Kris) Krystosiak is an Assistant Professor in the School of Graphic Communications Management at Toronto Metropolitan University, where he has been teaching and conducting research since July 2022. He holds a PhD in Mechanical Engineering from the Warsaw University of Technology in Poland. His PhD thesis, recognized by StatSoft and the Polish Statistical Association, received an award for its innovative use of data mining tools in engineering research.
With over 16 years of experience in the package printing industry, Dr. Krystosiak has worked in diverse roles across production, quality management, technology development, and R&D. His practical background spans both operational and strategic levels, from machine operation to technical leadership.
His research focuses on applying data mining and machine learning techniques to industrial processes, with an emphasis on waste reduction and production optimization, particularly within the context of Industry 4.0, Smart Manufacturing, and sustainable development in the package printing sector. He is currently engaged in collaborative research projects aimed at reducing environmental impact and implementing smart technologies in industrial settings across Canada and Poland.
Public Profiles:
- Flexographic Technical Association (FTA)
- American Society of Mechanical Engineers (ASME)
- Council of Polish Engineers in North America
- Engineering Project and Production Management (EPPM)
- Co-advisor of Phoenix Challenge Competition, TMU teams
Phoenix Challenge Foundation website: https://phoenixchallenge.org/ (external link)
Krzysztof Krystosiak is a researcher specializing in data-driven innovation, Smart Manufacturing technologies, and sustainability in the package printing industry. His work focuses on applying machine learning and data mining to optimize production processes, reduce environmental impact, and support the transition to smart, low-carbon technologies. He collaborates on industrial sustainability projects across Canada and Poland.
- Package printing
- Smart Manufacturing
- Industry 4.0
- Sustainable production
- Data mining
- Machine learning in industrial applications
- Process optimization
- Idustrial sustainability
- Digital transformation