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Tuğrul zel, Ph.D.
Professor 
School of Engineering
Industrial&Systems Eng. 
Rutgers University
96 Frelinghuysen Road, Piscataway, NJ 08854, USA
+1 (848) 445-1099
ozel@rutgers.edu

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 RESEARCH SUMMARY

  • Professor Özel's research interests include advanced manufacturing , additive manufacturing, automation and AI in manufacturing, digital twin in manufacturing, laser processing, physics-informed machine learning, micro-manufacturing, precision machining, predictive process modeling, process sensing and monitoring, physics-based process simulations, and process optimization and manufacturing decision making. Professor Özel's research has been well funded (over $1 million as sole or lead-PI) by the National Science Foundation, Department of Commerce-National Institute of Standards and Technology, NASA/New Jersey Space Grant Consortium, Taiho Koygo Tribology Research Foundation and industry (e.g. United Technologies Research Center, 3-M Research & Development Center). His collaborative projects were funded nearly $2 million from various sources as well and provided funding visiting scholars to conduct collaborative international research at Rutgers Manufacturing & Automation Research Laboratory under Professor Özel's supervision.

  • At Rutgers, Professor Özel has received several prestigious federal grant awards including 4 awards from National Science Foundation, 1 award from National Institute of Standards and Technology, 1 award from NASA Space Grant, and 2 grants from Taiho Kogyo Tribology Research Foundation and industry (e.g. United Technologies, 3M Company) totaling over $1 million as sole- Principal Investigator. He also participated in a European Commission Research Directorate grant ($900K) for international research exchange for biomedical devices design, prototyping and manufacturing which allowed him to host visiting scholars and advising visiting students as a thesis committee member.

  • Please visit MARLAB Research Projects for more information.

RESEARCH TOPICS

  • Advanced Manufacturing, Digital Manufacturing, Smart Manufacturing, AI Manufacturing
  • Additive Manufacturing (Metals and Polymers), Hybrid Manufacturing Processes
  • Physics-informed Machine Learning
  • Biomanufacturing and 3D Printing
  • High Speed Machining of Aerospace Alloys and Composites
  • Precision Machining and Surface Integrity
  • Laser Processing (LIPSS) and Laser Micromachining
  • Micro/Nano-Manufacturing and Process Control
  • Process Sensing, Monitoring and Control
  • Modeling, Simulation, and Optimization
  • Mechatronics, Automation, and Control Systems

SELECTED EXTERNAL FUNDING AWARDED