Candan Tamerler

Dr. Candan Tamerler is the Charles E. & Mary Jane Spahr professor in the department of mechanical engineering and serves as the associate vice chancellor for research at the University of Kansas. She is associate director of the Institute for Bioengineering Research. Dr. Tamerler has received numerous accolades including a fellow of the Turkish Academy of Science, the American Institute of Medical and Biological Engineering and the American Association for the Advancement of Science. She received Distinguished Scientist Award by the Functional Materials Division of the Minerals, Metals and Materials Society. Dr. Tamerler has been notable among the pioneers and early adapters of biomimetic principles at the biomolecular scale for harnessing design strategies to develop innovative approaches in engineering. She developed unique foundational approaches in transferring biological materials principles to biomimetic-, bioactive-. biomaterials-design, adapted multi-modal AI/ML approaches in interface engineering to couple with biological function. She has more than 200 publications with several patent applications.

Biomimetic, Biohybrid and Bioactive Functional Materials with Meta-Adaptive Solutions Enabled by AI-Guided Multiscale Interface Engineering

Abstract:
Engineering materials continues to expand by integrating approaches that combine structure with function inspired by biological systems. Biological systems incorporated complex adaptive mechanism(s) that feature interactivity across different scale lengths with several levels of complexity in their response to both internal and external environments. Often, the family of proteins known as “intrinsically disordered” play critical roles in adaptive biological mechanisms through diverse mechanism, ranging from affording dynamic binding mechanisms for a variety of partners, to contributing spatial and temporal organization and to offering interactivity across levels of complexity. We have been focusing on enabling intrinsically disordered biological function as adaptive solutions in engineering molecular-to multi-scale interfaces as a path for biomimetic, biohybrid and bioactive materials design. Combining adaptive mechanisms with multi-modal AI/ML in multi-scale interface engineering allowed us to design strategies targeted for interactions that are tailored for conditions and functionally superior biomaterials. These integrated approaches offer fascinating paths for deciphering complex adaptive biological mechanisms, enable engineering biomimetic solutions and revolutionize biomaterials design.

KEYWORDS:
Biomimetic, Interfaces, Biomaterials, AI/Machine Learning Guided Design, Biohybrid, Bioactive