Ozgur, Keles


Assistant Professor


Preferred: ozgur.keles@sjsu.edu


Preferred: (408)-924-4000




  • B.S : Metallurgical and Materials Eng, Middle East Technical University,Turkey (2005)
  • M.S: Metallurgical and Materials Eng, Middle East Technical University Turkey (2008)
  • Ph.D: Materials Engineering,Purdue University West Lafayette (2013)


Academic Appointments

  • Assistant Professor, San Jose State University (August 2015-)
  • Lecturer and Senior Research Associate, Illinois Institute of Technology (2013-2015)

Research and Scholarly Interests

Details can be found at  http://www.ozgurkeles.com/.

My group develops artificially-intelligent discovery machines that use active learning and high-throughput approaches to discover new, synthesizable, and processable materials in unexplored chemical and structural spaces. We investigate processing-structure-property-design (PSP-D) interrelationships in tough, strong, lightweight, multi-functional, and sustainable materials. We couple advanced additive manufacturing techniques to control hierarchical structures from sub-nano to macro-scale with data-driven numerical approaches to discover material nature.


  1. NSF, CAREER: Multi-scale Mechanical Behavior of Quantum Dot Nanocomposites: Towards Data-driven Automatic Discovery of High-performance Structures, PI: Keles 2022.
  2. National Endowment for the Arts, Exploring San Jose Cultural Heritage and Sustainable Design through 3D Printing Technology, PI: Yoon Chung Han, co-PI: Keles, 2022.
  3. DOE, PARC Xerox, Scalable Ceramic ALignment for Electro-active Structures (SCALES), Subcontract: Keles, PI: Elif Karatay, 2020.
  4. NSF, MRI: Acquisition of a metal additive manufacturing system for multi-disciplinary research and education, PI: Keles, co-PIs: Birsen Sirkeci, Feruza Amirkulova, Raymond Yee, David Yan, 2019.

Some of my current research projects are:

*. Processing discovery: Machine learning-enhanced high throughput (HT) structure control in selective laser melted titaniums, zirconias, BZT-BCT lead-free piezeocereamics, and quantum dot containing thermosets. 

*. Structure discovery: HT characterization of nanoscale hierarchical toughening in quantum dot containing polymer and ceramic composites

*. Data-driven recycling planning for smart cities: How to change materials, manufacturing policies to drive sustainable socio-economic development?

*. Mechanics of additively manufactured bioinspired composites and polymers

*. Automatic discovery machines for ultrasonic mixing, nano-liter droplet deposition, and robotic sample preparation coupled with field-assisted additive manufacturing

*. Hierarchical toughening in thermosetting structural battery composites

*. Hierarchical toughening in selective laser melted (SLMed)

*. Virtual reality engineering education (VR-EE), Virtual learning environments for engineers and society

 *. Atlas of Materials Complexity, accelerating multi-functional design, materials, manufacturing innovation 


Özgür Keleş Blog