Our lab’s research on data-driven design of new materials with small datasets, a collaboration with Prof. James Rondinelli‘s group, has been featured by Northwestern’s McCormick School of Engineering. This research, which includes PhD student Akshay Iyer, is developing an advanced optimization engine (AOE) that utilizes our latent variable Gaussian process modeling method to address the
Congratulations to Akshay Iyer, whose paper “Data Centric Nanocomposites Design via Mixed-Variable Bayesian Optimization”, has been published in and featured on the cover of Molecular Systems Design & Engineering (Issue 8)! The artwork was prepared by Askhay himself. Please be sure to read the paper, referenced below. Iyer, A., Zhang, Y., Prasad, A., Gupta, P.,
From August 17 through 19, IDEAL attended the ASME International Design Engineering Technical Conferences (IDETC) 2020, which was held virtually. Two of our papers (led by Liwei Wang and Yu-Chin Chan) received the Papers of Distinction Award in the Design Automation Conference section (DAC)! In total, our group was represented by 5 papers out of
As part of our summer panel series, we were honored to invite four lab alumni back (virtually) to IDEAL. The panel discussed their experiences during and after their Ph.D. or postdoctoral positions at IDEAL, imparting our current members and summer interns with words of advice and encouragement. The panelists were: Prof. Harrison Kim (Postdoc, 2003-2004):
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
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”,
