Burak Kara’s research develops new computational techniques and software to support product design and user interaction with design tools. His research interests include CAD/CAE, product design and styling, geometric modeling, shape analysis, design for additive manufacturing, user interfaces for design, pen computing, and artificial intelligence. While founded in mechanical engineering, his research draws upon several related disciplines including computer graphics, machine learning, and human-computer interaction.
One of Kara’s recent research projects involves developing a sketch-based, 3D geometric modeling tool. This work aims to help designers construct, modify, and fluidly interact with 3D geometry through a 2D sketch-based interface. The techniques enable a rapid creation and manipulation of 3D shapes, and are particularly effective for concept development and styling design. Other ongoing projects include: shape abstraction, study of aesthetic product forms, design for additive manufacturing, free-form surface feature modeling, data-driven shape design, and engineering design and analysis from image-based representations.
Generating 3-D Models Using Simple Interaction Techniques
2004 Ph.D., Mechanical Engineering, Carnegie Mellon University
2000 MS, Mechanical Engineering, Carnegie Mellon University
1998 BS, Mechanical Engineering, Middle East Technical University
Polymers, printing, and pathways
A novel approach to 3D printing using a support bath can greatly expand the types of polymers that can be printed, enable chemical reactions of the printed materials to gain novel material properties, and increase the mechanical strength and reduce the print time of mechanical parts through design optimization.
Smarter electronics design through machine learning
Burak Kara is collaborating with Cadence Design Systems, Inc. and NVIDIA on applying advanced machine learning techniques to develop integrated and intelligent design system flows.
Design Automation Conference
Kara speaks on DAC panel, collaborates with Cadence
MechE’s Burak Kara was a panelist at the Design Automation Conference earlier this month, discussing how innovations in machine learning, deep learning, and artificial intelligence impact electronic design automation (EDA). The panel was sponsored by Cadence Design Systems, a company Kara is collaborating with on a new project to automate the design process of electronic circuits and chips.
Using AI to solve real-world problems
In MechE’s Levent Burak Kara’s project-based graduate course, students applied their skills in artificial intelligence and machine learning to solve real-world problems outside the classroom.
Lighter weight, lower costs in 3-D printing
Levent Burak Kara develops ways to best bolster lightweight, 3-D printed materials and reduce production costs.