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Tag: data-driven methods

Prof. Chen Receives the Charles Russ Richards Memorial Award

Congratulations to Prof. Chen for receiving the Charles Russ Richards Memorial Award. The joint award given by the American Society of Mechanical Engineers (ASME) and Pi Tau Sigma National Mechanical Engineering Honor Society recognizes one individual each year for their significant contributions and achievements in mechanical engineering for more than 20 years or more following

Akshay Defends his Ph.D. Dissertation

Our lab member Akshay Iyer successfully defended his Ph.D. thesis on August 10th 2021, under the title Data Centric Design for Microstructural Material Systems. Congratulations, Akshay! Following his planned graduation this summer, Akshay will continue his career at CNA Insurance here at Chicago! We wish him the best and good luck in his future endeavors!

Dr. Faez Ahmed’s Proposal Funded

Our Postdoc, Dr. Faez Ahmed, who was already offered a faculty position at MIT before joining us at IDEAL, has received funding for his first proposal, together with Co-PI Dr. Daniel Frey! The title of his project is AI-driven Design Synthesis for Personalized Bicycles, awarded by the MechE Mathworks Seed Fund Program for $100k in Year

Umar, Anton Awarded at Proposal Competition

Lab members Umar Ghumman and Anton van Beek were each awarded Honorable Mention at the inaugural Mechanical Engineering PhD Proposal Pitch Competition (PPC) on  April 30, 2020! The competition consisted of five teams pitching innovative research proposals to a panel of faculty judges. Umar’s team presented, “Data-driven process-structure-property-performance (PSPP) framework for additive manufacturing alloy design”,

Prof. Wei Chen Elected President of ISSMO

Prof. Wei Chen and IDEAL alumni attended the 13th World Congress of Structural and Multidisciplinary Optimization (WCSMO 13). During the congress, Prof. Chen was elected President of the International Society of Structural and Multidisciplinary Optimization (ISSMO). She was invited to give a state-of-the-art (SOTA) panel talk on “Machine Learning and Data-Driven Techniques: Status and Opportunities”.