Ulas Yaman

Ulas Yaman is an Assistant Professor in the Department of Mechanical Engineering at Middle East Technical University (ODTÜ), Ankara, Turkey. He holds a PhD (2014), MSc (2010), and BSc (2007) in Mechanical Engineering from ODTÜ, with a minor in Mechatronics. His academic career includes a Visiting Assistant Professor role at Purdue University (2014-2015) and Research Assistant positions at ODTÜ (2007-2014).

• Education:
  • PhD, Mechanical Engineering, ODTÜ (2007-2014)
  • MSc, Mechanical Engineering, ODTÜ (2007-2010)
  • BSc, Mechanical Engineering, ODTÜ (2003-2007)
  • Minor in Mechatronics, ODTÜ (2004-2007)

Professor Yaman's research focuses on 3D Printing, Additive Manufacturing, CAD/CAM architectures, FPGA-based embedded systems, and computational geometry for manufacturing. His work addresses challenges in dimensional accuracy, interior structure optimization, and command generation paradigms for CNC and 3D printing systems. He developed the LIPRO pipeline, leveraging Python-based scripting and List Processors to reduce G-code file sizes by up to 99.7% in FDM applications.

Scientific Contributions:

• Fundamental advancements in 2.5D curve offset generation using mathematical morphology
• Innovative shrinkage compensation techniques for FDM 3D printing
• Hybrid manufacturing systems integrating additive and subtractive processes
• Query-based CAD/CAM architectures for heterogeneous printing
• Real-time interpolator implementations on FPGA hardware

Awards & Grants:

• Best Paper Award, IEEE Workshop on Intelligent Solutions in Embedded Systems (2016)
• TÜBİTAK 1001 Project Grant (2017-2020) for Hybrid Manufacturing Systems
• TÜBİTAK 3001 Grant (2017-2018) for LIPRO Pipeline Development
• ODTÜ-BAP Grant (2016) for Dimensional Accuracy Improvement
• TÜBİTAK PhD Scholarship (2010-2014)

As an educator, he has taught advanced courses including ME 533 - Computer-Aided Design and ME 414 - System Dynamics at ODTÜ since 2015. His laboratory leads projects on smart manufacturing systems and develops open-architecture platforms for experimental validation of novel fabrication paradigms.