Michael Kokkolaras receives the Design Automation Award – ASME 2023

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Michael receives the award

Michael Kokkolaras receives the 2023 ASME Design Automation Award as a recognition of his longstanding and meritorious contributions to the Design Automation Community.

Design Automation is the largest and oldest community of the Design Engineering Division of the ASME (American Society of Mechanical Engineers), and the Design Automation Award is their most prestigious award.

Michael Kokkolaras received the award in recognition of his longstanding and meritorious contributions to the Design Automation Community with his research in Multidisciplinary Design Optimization and Derivative-Free Optimization for Simulation-Based Design, his leadership in Design Automation, and his commitment to mentoring and championing the future generation of Engineering Design students.

“I am grateful to Prof. Carolyn Seepersad from Georgia Tech for nominating me (it takes a considerable amount of time and effort) and the colleagues who provided support letters. I am deeply honored by the individual recognition, but I want to acknowledge that this would have never been possible without the contribution of numerous people from my former supervisors and mentors to several collaborators and, of course, my students,” says Michael Kokkolaras.

Michael Kokkolaras is a professor at McGill University with an extensive collaboration at Chalmers University of Technology and the division of Product development, where he is visiting professor.

Michael and Ola
Michael Kokkolaras and Ola Isaksson

“Impactful research on engineering systems design optimization benefits greatly from meaningful long-term collaborations such as the one with the group of professor Ola Isaksson at Chalmers. Currently we are focusing on capitalizing on the advances of data science and computational methods to further expand capabilities of automated engineering design. Specifically, we are developing methods and tools for multi-fidelity modeling, Bayesian optimization, and generative design so that we can obtain efficiently novel and effective solutions to engineering design problems,” says Michael.

Design Automation Award - ASME