Journal of Mechanical Design

companion website
Youtube Twitter Linkedin Envelope

Areas: Design by Data: Cultivating Datasets for Engineering Design

Stefan Menzel

Stefan Menzel is a Chief Scientist with the Optimization and Creativity Group at the Honda Research Institute Europe, Offenbach, Germany. He received a Dipl.-Ing. degree in civil engineering from RWTH Aachen University, Aachen, Germany, and a Ph.D. degree in civil engineering from Technical University Darmstadt, Darmstadt, Germany. His current research interests include evolutionary optimization with special focus on adaptive representations, machine learning for knowledge transfer, and multidisciplinary optimization for real-world applications.

Read More »

Tino Stankovic

Tino Stankovic is a senior scientist at Engineering Design and Computing Laboratory at ETH Zürich in Switzerland. His research focuses on developing computational models, methods and tools to support the design for additive manufacturing as well as design optimization, and design automation. Current interests include development of advanced computational design methods to automatically generate and optimize lattice structures, computational design of origami-​adapted rigid-​foldable structures, and computational design of 3D printed, personalized medical devices. Tino Stankovic serves as a reviewer for several established scientific journals and conferences. He is a member of the Design Society.

Read More »

Michael Kokkolaras

Dr. Kokkolaras is Professor, and the founding director of the Systems Optimization Laboratory, at McGill University’s Department of Mechanical Engineering. He received his diploma in Aerospace Engineering from Technische Universität München and his Ph.D. in Mechanical Engineering from Rice University. He is currently serving as the Associate Dean for Faculty Affairs at the Faculty of Engineering. Dr. Kokkolaras joined McGill from the University of Michigan at Ann Arbor (UM), where he held research faculty appointments at the Department of Mechanical Engineering (primary) and the UM Transportation Research Institute (joint/courtesy); he is a recipient of the UM College of Engineering Outstanding Research Scientist Award. Dr. Kokkolaras is an ASME Fellow and is currently serving as Publications Chair of the ASME Design Engineering Division and has previously served as Chair of the Design Automation Executive Committee of the ASME Design Engineering Division, Program and Conference Chair of the ASME Design Automation Conference, and Program Co-Chair of the International Conference on Engineering Design.

Read More »

Douglas Allaire

Dr. Douglas Allaire is an Associate Professor and Sallie and Don Davis ’61 Faculty Fellow in the J. Mike Walker ’66 Department of Mechanical Engineering at Texas A&M University where he directs the Computational Design Lab (CDL).  He holds B.S., M.S., and Ph.D. degrees from the Department of Aeronautics and Astronautics at the Massachusetts Institute of Technology. His current research focuses on the development of computational methods for the analysis, design, and operation of complex systems.  He is specifically interested in uncertainty quantification, multidisciplinary design optimization, and machine learning and has recently applied his research to unmanned aerial vehicle systems and the design and discovery of advanced materials.  He is the recipient of several awards, including the 2018 ASME Computers and Information in Engineering Division Young Engineer Award and the ASME DAC Best Paper award in 2018. 

Read More »

Christopher McComb​

Christopher McComb is an Associate Professor in the Department of Mechanical Engineering at Carnegie Mellon University. He received dual B.S. degrees in Civil and Mechanical Engineering from  California State University-Fresno in 2012. Later he attended Carnegie Mellon University as a National Science Foundation Graduate Research Fellow and obtained his M.S. and Ph.D. in Mechanical Engineering in 2014 and 2016, respectively. His research expertise is in design computation, with specific focuses on machine learning for engineering design, agent-based modeling of human systems, and human-AI collaboration. Application areas include design for additive manufacturing, marine energy devices, and drone delivery systems.    

Read More »
Pingfeng Wang

Pingfeng Wang

Pingfeng Wang is an Associate Professor in the Department of Industrial and Enterprise Systems Engineering at University of Illinois at Urbana-Champaign (UIUC), and the director of the Reliability Analysis and Safety Assurance (RASA) lab at Illinois. He received his B.S. in 2001 in Mechanical Engineering from University of Science and Technology in Beijing, his M.S. in 2006 in Applied Math from Tsinghua University, and his Ph.D. in 2010 in Mechanical Engineering from University of Maryland. Dr. Wang’s research has been focused on developing new design methods and tools to improve reliability, safety and failure resilience of engineered systems. He is the recipient of the NSF CAREER award (2014), the Young Researcher Award from International Society of Green Manufacturing and Applications (2012), the ASME Design Automation Young Investigator Award (2016), and Best Paper Awards in the ASME Design Automation Conferences (2008 and 2013).

Read More »
Ikjin Lee

Ikjin Lee

Dr. Ikjin Lee is an associate professor of Mechanical Engineering at Korea Advanced Institute of Science and Technology (KAIST).

Read More »