EECS Special Seminar: Mina Konakovic Lukovic "Transforming design and fabrication with computational discovery"

Speaker: Mina Konakovic Lukovic , CSAIL

Date: Thursday, March 18, 2021

Time: 10:00 AM to 11:00 AM Note: all times are in the Eastern Time Zone

Public: No


Event Type: Seminar

Room Description: Virtual TBD

Host: Stefanie Jegelka, CSAIL

Contact: Fern D Keniston,

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Reminder Subject: TALK: EECS Special Seminar: Mina Konakovic Lukovic "Transforming design and fabrication with computational discovery"

Recent advances in material science and computational fabrication provide promising opportunities for product design, mechanical and biomedical engineering, medical devices, robotics, architecture, art, and science. Engineered materials and personalized fabrication are revolutionizing manufacturing and having a significant impact on various scientific and industrial products. As new fabrication technologies emerge, effective computational tools are needed to fully exploit the potential of computational fabrication.

In this talk, I argue that computer science and mathematical models are essential for advancing and accelerating design practices and harnessing the potential of novel fabrication technologies. My aim is to transform the design workflow with computational tools and artificial intelligence and change “what?” and “how?” we can fabricate. I will discuss how the insights from differential geometry can help us understand existing materials and create new materials with specific performance. I will further demonstrate how grammars and deep learning can be combined for the autonomous discovery of terrain-optimized robots. Finally, I will show a data-efficient machine learning algorithm for optimal experiment design. Although different in methodologies, all these projects follow the same design pipeline and tackle two critical challenges: (i) providing tools for inverse design and (ii) accelerating design and fabrication with sophisticated algorithms.

Mina Konakovic Lukovic is a Schmidt Science Postdoctoral Fellow at MIT Computer Science and Artificial Intelligence Lab, mentored by Professor Wojciech Matusik. She earned her PhD in 2019 in the School of Computer and Communication Sciences at the Swiss Federal Institute of Technology Lausanne (EPFL), advised by Professor Mark Pauly. She received her MSc and BSc from the University of Belgrade, Faculty of Mathematics. Her research focuses on computer graphics, computational fabrication, 3D geometry processing, and machine learning, including architectural geometry and the design of programmable materials. She received the ACM SIGGRAPH Outstanding Doctoral Dissertation Honorable Mention, the Eurographics PhD Award, and was recently awarded the 2021 SIAM Activity Group on Geometric Design Early Career Prize.

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Created by Fern D Keniston Email at Thursday, March 11, 2021 at 10:59 AM.