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Dr. Chen & Dr. Ahmed Receives Honorable Mention from JMD

Dr. Wei (Wayne) Chen’s, currently a Postdoc at IDEAL, and Dr. Faez Ahmed’s, IDEAL Alumni 2019, work under the name “PaDGAN: Learning to Generate High-Quality Novel Designs”, has been chosen to receive an Honorable Mention for the 2021 Journal of Mechanical Design Editors’ Choice Award in the category of Design Methods. Congratulations to both!

Dr. Sha Receives 2022 ASME CIE Young Engineer Award

We are pleased to announce that Dr. Zhenghui Sha, IDEAL Alumni, has recently earned the 2022 ASME CIE Young Engineer Award. Dr. Sha was a member of IDEAL in 2016 as a Postdoc (advised by Dr. Wei Chen) and is now an Assistant Professor at University of Texas at Austin. The award recognizes his outstanding contributions and applications in the Computers and Information in Engineering (CIE) field. Congratulations Dr. Sha!

Dr. Hongyi Xu Recieves NSF Early Career Award

We are pleased to announce that Dr. Hongyi Xu, IDEAL Alumni, has recently earned the NSF Early Faculty award. Dr. Xu received his Ph.D. from Northwestern University in 2014 (advised by Dr. Wei Chen) and is now an assistant professor at University of Connecticut. The award was given for his work on Bridging the Gap between Deterministic and Stochastic Structures for Mixed Stochasticity System Design. The overarching research goal of this project is to create a novel computational framework that bridges the gap between deterministic and stochastic structures by establishing a unified design space that covers structural patterns whose stochasticity ranges from random to regular. More information about his award are available at: University Faculty Selected for NSF Early Career Award

Yu-Chin Defends her Ph.D. Dissertation

Our lab member Yu-Chin Chan successfully defended her Ph.D. thesis on June 6th under the title Data-Driven and Diversity Enhanced Design of Heterogenous Multiscale Structures. Congratulations, Yu-Chin! Yu-Chin will continue her career at Siemens. We wish her the best and good luck in her future endeavors!

Liwei’s Paper Featured at PNAS

Congratulations to Liwei Wang, whose paper “Mechanical cloak via data-driven aperiodic metamaterial design” has been published in the latest issue (Vol 112., No.13) of Proceedings of the National Academy of Sciences (PNAS).

The significance of his work is as follows: While cloaks have been manufactured for optical, thermal, and electric fields, limited progress has been made for mechanical cloaks. Most existing designs rely on mapping-based methods, which have so far been limited to special base cells and a narrow selection of voids with simple shapes. Liwei et. al developed a fundamentally different approach by exploiting data-driven designs to offer timely, customized solutions to mechanical cloaking that were previously difficult to obtain. Through simulations and experimental validations, they show that excellent cloaking performance can be achieved for various boundary conditions, shapes of voids, base cells, and even multiple voids.

Prof. Chen Recieves 2022 Engineering Science Medal

Congratulations to Professor Chen for receiving the 2022 Engineering Science Medal. This award is given by the Society of Engineering Sciences each year for important contributions to engineering science. Professor Chen received the Medal for her groundbreaking contributions to design under uncertainty, in particular for establishing formalism and developing robust design methods to accelerate the use of physics-based simulations in design.

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Liwei and Akshay Recognized at IDETC 2021

Liwei and Akshay’s paper on “Data-Driven Design via Scalable Gaussian Processes for Multi-Response Big Data with Qualitative Factors” received the Paper of Distinction recognition at the International Design Engineering Technical Conferences (IDETC) 2021 . The conference was held virtually between August 17 – 19, 2021. Also, this paper is now published in the Special Issue of AI for Engineering Design in the Journal of Mechanical Design. Congratulations to Liwei and Akshay!

Also, IDEAL attended this year’s IDETC with 3 papers. Congratulations to our lab members! All of the papers can be found below.


IDETC 2021 Papers
  • Liwei Wang, Suraj Yeraramilli, Akshay Iyer, Danial Apley, Ping Zhu, Wei Chen. “Data-Driven Design via Scalable Gaussian Processes for Multi-Response Big Data With Qualitative Factors” (IDETC2021-71570).
  • Umar Farooq Ghumman, Anton Van Beek, Joydeep Munshi, TeYu Chien, Ganesh Balasubramamian, Wei Chen. “SDF-Based Inverse Process Design of Solar Cells Using Molecular Dynamics Simulations” (IDETC2021-71595).
  • Faez Ahmed, Yaxin Cui Yan Fu, Wei Chen. “A Graph Neural Network Approach for Product Relationship Prediction” (IDETC2021-69462).

IDEAL Hosts Alumni for Summer 2021 Meetings

IDEAL was honored to invite alumni for the Summer 2021 Virtual Group Meetings. Each alumni discussed and gave valuable information on their respective research areas. The alumni who attended the meetings can be found below.

  • Prof. Shikui Chen (Ph.D., 2010): Associate Professor, Department of Mechanical Engineering at Stony Brook University. Prof. Chen kicked off the summer series with his talk under the title “From Euclidian Space to Riemannian Manifold: Conformal Shape & Topology Optimization Using Extended Level Set Methods”. He joined Stony Brook University as a faculty in Fall 2013 and he is the director of Computational Modeling, Analysis, and Design Optimization Lab (CMADO Lab) . His current research areas are predictive science based design optimization, specifically in in the fields of structural shape and topology optimization, geometric modeling with level set methods, PDE constrained optimization, and simulation-based design under uncertainty.
  • Dr. Xiaoping Du (Ph.D., 2002): Professor, Department of Mechanical and Energy Engineering at Indiana University – Purdue University Indianapolis (IUPUI). Prof. Du gave an exciting presentation under “Uncertainty Quantification in High Dimensions”. Prof. Du’s research interests are in design optimization, probabilistic and statistical methods, robust design, and system/structural reliability.
  • Prof. Ramin Bostanabad (Ph.D., 2019): Assistant Professor, Department of Mechanical and Aerospace Engineering at University of California Irvine (UC Irvine). As our third guest, Prof. Bostanabad gave his talk under the name “Artificial Intelligence for Engineering Design and Computational Mechanics”. He joined the Mechanical and Aerospace Engineering Faculty at UC Irvine in Fall 2019 and he is the director of Probabilistic Modeling and Analysis of Complex Systems Laboratory (PMACS Lab). His current research areas are designing next-generation materials using mechano-probabilistic deep learning, uncertainty quantification in high-dimensional and multifidelity systems, and Bayesian analysis of multiscale and multi-physics computer models.
  • Prof. Faez Ahmed (Postdoc, 2019-2020): Assistant Professor, Department of Mechanical Engineering at Massachusetts Institute of Technology (MIT) . Prof. Ahmed gave his talk under the name “Decoding Engineering Design with Machine Learning and Artificial Intelligence”. He joined the Mechanical Engineering Faculty at MIT in Fall 2020 and he is currently the director of Design Computation & Digital Engineering Lab (DeCoDe). His current research areas include machine learning and optimization for engineering design, AI-augmented human teams, and advanced engineering material systems.
  • Prof. Zhenghui Sha (Postdoc, 2016-2017): Assistant Professor, Walker Department of Mechanical Engineering at the University of Texas at Austin (UT Austin). As our fifth guest, Prof. Sha gave a great talk of his lab’s research areas under the title “SiDi Lab Research on Complex Systems Engineering and Design & Swarm and Cooperative Manufacturing Systems”. He joined the Mechanical Engineering Faculty at UT Austin in 2021 and previously served as an Assistant Professor at the University of Arkansas from 2017-2020. He is currently is the director of Systems Integration & Design Informatics Laboratory (SiDi LAB) and his current research focuses on system science and design science as well as the intersection between these two areas.
  • Prof. Hongyi Xu (Ph.D., 2014): Assistant Professor, Mechanical Engineering at the University of Connecticut (UConn). As our sixth and last guest, Prof. Xu gave a great talk under the title “Quantifying Aleatoric Uncertainties in a Topological Spatial Domain”. He joined the Mechanical Engineering Faculty at UConn in 2019 and he is currently is the director of Xu Research Group . His current research focuses developing design optimization and uncertainty quantification methods for the analysis and design of heterogeneous microstructural materials.
  • It was a great pleasure to have our distinguished alumni as our guests for the Summer 2021 meetings. Even though the meetings were virtual, we hope to see them in person in the future.

    Dr. Ramin Bostanabad Recieves NASA Early Career Award

    We are pleased to announce that Dr. Ramin Bostanabad, IDEAL Alumni, has recently earned the NASA Early Faculty award. Dr. Bostanabad received his Ph.D from Northwestern University in 2019 (advised by Dr. Wei Chen) and is now an assistant professor at University of California, Irvine (UCI). The award was given for his work on Multiscale Emulation and Deep Learning-based Assimilation for Probabilistic Prediction of Hydrologic Phenomena. More information about his award are available at: University Faculty Selected for NASA Space Tech Research Grants | NASA