editorial board
Wei Chen
editor@asmejmd.org Dr. Wei Chen is Chair and Professor of Mechanical Engineering and Wilson-Cook Professor in Engineering Design at Northwestern University. She received her Ph.D. from the Georgia Institute of Technology, M.S. from University of Houston, and B.S. from Shanghai Jiao Tong University (China), all in mechanical engineering. She is a Fellow of ASME, Associate Fellow of AIAA, and a member of SAE. She is an elected member of the ASME Design Engineering Division Executive Committee where she served as the Technical Committee Chair. She is also an elected Advisory Board member of the Design Society, an international design research community. She serves as a review editor of Structural and Multidisciplinary Optimization and was the Associate Editor of the Journal of Engineering Optimization (2007-2009) and the ASME Journal of Mechanical Design (2003-2006, 2010-2013). She is the recipient of the ASME Pi Tau Sigma Gold Medal achievement award (1998), the Intelligent Optimal Design Prize (2005), and the SAE Ralph R. Teetor Educational award (2006). Areas of interest: design under uncertainty, consumer choice modeling, decision making in design |
Qiaode Jeffrey Ge
Dr. Qiaode Jeffrey Ge, ASME Fellow, is Professor and Chair, Department of Mechanical Engineering, Stony Brook University, the State University of New York. He received his Ph.D. in mechanical engineering from University of California, Irvine, M.S. in mechanical engineering and applied mechanics from University of Pennsylvania, and dual B.S. in mechanical and electrical Engineering from Shanghai Jiaotong University. He was elected to serve as chair of ASME Mechanisms and Robotics Committee, chair of ASME Design Engineering Division, and chair of the Constitution Committee of IFToMM, the International Federation for the Promotion of Mechanisms and Machine Science. He was past Associate Editor of ASME Journal of Mechanical Design, ASME Journal of Mechanisms and Robotics, and International Journal of Mechanics Based Design of Structures and Machines. Dr. Ge is also a member of US National Academy of Inventors. |
James Allison
James T. Allison is an associate professor at UIUC, and is the director of the Engineering System Design Lab. Prof. Allison holds MS (2004) and Ph.D. (2008) degrees in Mechanical Engineering, and an MS (2005) in Industrial and Operations Engineering (U of Michigan). He also holds a BS in Mechanical Engineering (2003, University of Utah) and an AAS in Automotive Technology (1998, Weber State University). He is the recipient of several awards, including the NSF CAREER Award, ASME Design Automation Young Investigator Award, ASME papers of distinction, and several teaching awards. Previous experience includes work in the automotive (Ford and GM) and the engineering software (MathWorks) industries. Prof. Allison’s work focuses on the creation and analysis of novel design optimization methods for engineering systems, and on producing new design knowledge for unprecedented systems. Areas of interest: Active dynamic system design, system architecture design, intelligent structures, renewable energy systems, automotive and aerospace systems. |
Massimo Callegari
Massimo Callegari is professor of Machine Mechanics at the Polytechnic University of Marche in Ancona, Italy. He received the laurea degree in Mechanical Engineering in 1986 then he worked in the R&D departments of industries operating in the field of factory automation until 1990, when he joined the Department of Mechanics of the University of Genova as a researcher. He has participated into different national and international research projects in the fields of automation, robotics and innovative handling devices. He used to seat for several years in the “Board of Examiners” of the European Master in “Automotive Engineering” by the University of Hertfordshire at Hatfield (UK) and is currently chairing the board of teachers of the Mechanical Engineering degrees at the Polytechnic University of Marche. Areas of interest: robotics, mechanism design, innovative devices |
Michel-Alexandre Cardin
Dr. Michel-Alexandre Cardin is a Senior Lecturer (Associate Professor) in Computational Aided Engineering at the Dyson School of Design Engineering, Imperial College London. His research focuses on the development and evaluation of new computer aided methodologies to support the design and analysis of flexible, resilient and sustainable infrastructure systems, in particular in energy, transportation, space and financial systems. Prior to joining Imperial College, Dr. Cardin worked as a Quantitative Researcher in the hedge fund industry, developing strategies for derivatives trading using machine learning techniques. He also served as a faculty member at the National University of Singapore, where he established and led the Strategic Engineering Laboratory. He was a principal investigator for the Singapore-ETH Centre Future Resilient Systems project, and the Singapore-MIT Alliance for Research and Technology. Dr. Cardin holds a PhD in Engineering Systems and a Master of Science in Technology and Policy from MIT, a Master of Applied Science in Aerospace Engineering from the University of Toronto, Honors BSc in Physics from McGill University in Canada, and is a graduate of the Space Science Program at the International Space University. He is currently serving as Associate Editor for the INCOSE journal Systems Engineering, and served on the Editorial Review Board for the journal IEEE Transactions on Engineering Management (2013-2019). He established and served as founding chairman of the organizing committee for the conference on Complex Systems Design and Management Asia Areas of interest: concept generation and selection, engineering design, decision-making, flexibility in design, financial modeling, machine learning, real options analysis, stochastic optimization, and uncertainty analysis. |
Dar-Zen Chen
Dar-Zen Chen received his B.S. degree from National Taiwan University (NTU) and M.S. and Ph.D. degrees from University of Maryland, College Park in mechanical engineering. He served as an assistant professor at Cleveland State University in 1991. Currently, he is with the Department of Mechanical Engineering and Institute of Industrial Engineering at National Taiwan University as a professor. In addition to robotics, Kinematics and mechanism design, his research interests also cover intellectual property management, scientometrics and competitive analysis. Areas of Interest: conceptual design of mechanism, geared mechanism, static balanced mechanism |
Shikui Chen
Professor Shikui Chen is an Associate Professor at the State University of New York, Stony Brook. He earned his Ph.D. in mechanical engineering from Northwestern University and a Ph.D. in Automation and Computer-Aided Engineering from the Chinese University of Hong Kong. Dr. Chen’s research interests are in the area of predictive science based design optimization, particularly in structural topology optimization, geometric modeling with level set methods, PDE-constrained optimization, and simulation-driven design under uncertainty. His research work has been funded by government and industry grants including the National Science Foundation (NSF), the University Transportation Research Center (UTRC), Ford Motor Company, Stratasys and SUNY Materials and Advanced Manufacturing Network of Excellence. Dr. Chen is a member of ASME and AIAA. He was the recipient of the ASME Compliant Mechanisms Theory Award in the ASME 31st Mechanisms and Robotics Conference. |
Jian Dai
Jian S. Dai received a BEng and an MSc from Shanghai Jiao Tong University, and received a PhD in Advanced Kinematics and Robotics from the University of Salford in the UK. Professor Dai, IEEE Fellow, ASME Fellow, IMechE Fellow, CEng, is Chair of Mechanisms and Robotics, King’s College London, and established the field of reconfigurable mechanisms and the sub-field of metamorphic mechanisms in robotics, a concept that could bridge the gap between versatile but expensive robots, and efficient but non-flexible machines, and their applications to health, home and manufacture. He is also founder of the conference series ASME/IEEE International Conference on Reconfigurable Mechanisms and Robots (ReMAR) and organizer of a series of conferences, workshops and symposia with major scientific relevance (e.g., ASME M&R, IEEE ICRA). Professor Dai received 2010 King’s Overall Supervisory Excellence Award, 2012 ASME Outstanding Service Award, 2012 Mechanisms Innovation Award, 2015 ASME Mechanisms and Robotics Award for lifelong contribution in mechanisms and robotics, together with 1998 Best Paper Award, 2009 and 2011 SAGE Best Journal Paper Awards, 2018 Crossley Award, and 2019 AT Yang Award in Theoretical Kinematics and other best paper awards. Areas of interest: theoretical kinematics, reconfigurable and metamorphic mechanisms in robotics, origami robots, ankle rehabilitation robots |
Scott Ferguson
Dr. Scott Ferguson is an Associate Professor in the Department of Mechanical and Aerospace Engineering at North Carolina State University, and is the director of the System Design Optimization Lab. His research in engineering design and system optimization explores challenges associated with the design of complex engineered systems and market-driven product design. He completed his PhD in Mechanical Engineering from the University at Buffalo in 2008, an MS in Mechanical Engineering in 2004, and BS degrees in Mechanical Engineering and Aerospace Engineering in 2002. He is the recipient of the NSF CAREER award (2011), the ASME Design Automation Young Investigator Award (2014), the NC State Outstanding Teacher Award (2012) and the ASEE New Mechanical Engineering Educator Award (2015). He is the current chair of the ASME DED Student and Early Career Professionals Committee, is a member of the ASME Design Automation Conference Executive Committee, and serves on the AIAA MDO TC. |
Feng Gao
Feng Gao is the Chair Professor at Shanghai Jiao Tong University. He earned his Ph.D. in mechanical engineering from Beijing University of Aeronautics and Astronautics in 1991, and his Master in Mechanical Engineering at Northeast Heavy Machinery Institute in 1982. From 1995 to 1997, he was a postdoctoral research associate in the School of Engineering Science at Simon Fraser University. He was a full professor at Yanshan University from 1995 to 1999. He served first as Vice President and then as President of Hebei University of Technology from 2000 to 2004. From 2009 to 2013, he served as the director of the State Key Laboratory of Mechanical Systems and Vibration at Shanghai Jiao Tong University. Areas of interest: design of parallel robotic mechanisms, macro and micro parallel manipulators, multi-leg robots, design and control of heavy-duty manipulators and machinery with parallel mechanisms. |
Xu Guo
Xu Guo is a Changjiang Chair Professor at Dalian University of Technology (P.R. China), the Dean of the Department of Engineering Mechanics and the Deputy Director of the State Key Laboratory of Structural Analysis of Industrial Equipment. He received his Ph.D. degree from Dalian University of Technology in 1998 and became the faculty member of the same university in 2000. He is now serving as a review editor of Structural and Multidisciplinary Optimization and the Associate Editor of the Theoretical & Applied Mechanics Letters. His current research interests are focused on structural optimization and computational mechanics. He has more than 120 journal publications in the above areas. He is also the recipient of the National Award for Youth in Science and Technology (2011), the Intelligent Optimal Design Prize (2010), and the National Natural Science Prize of China (2006). |
Xu Han
Dr. Xu Han is the Professor in Mechanical Engineering of Hebei University of Technology, China. He received his bachelor and master degree from Harbin institute of Technology and his PhD from the National University of Singapore. His research work has been focused on numerical simulation-based design, inverse problems, design under uncertainty, and reliability-based optimization. |
Babak Heydari
Babak Heydari is an associate professor at the department of mechanical and industrial engineering, and affiliate faculty at the School of Public Policy and the Network Science Institute at Northeastern University. His interdisciplinary research aims at establishing a bridge between engineering system design and computational social sciences where he uses network science to study the architecture of socio-technical and human-AI systems, resilience and its relationship with the emergence of collective behavior and social norms, platform-based sharing economy systems, and co-evolution of structure and behavior in complex systems. He received his Masters and Ph.D. from the Department of Electrical Engineering and Computer Science at UC Berkeley and has 3 years of Silicon Valley start-up experience. He has been the PI and Co-PI of several projects sponsored through NSF, DARPA, INCOSE, SERC and a number of private corporations. Professor Heydari is a recipient of the national science foundation CAREER award. |
Katja Hölttä-Otto
Katja Hölttä-Otto is an Associate Professor of product development at the Design Factory at Aalto University, Finland. Prior to that she was a professor at the Singapore University of Technology and Design and earlier at the University of Massachusetts Dartmouth. She received her M.Sc. (2000) and Ph.D. (2005) in Mechanical Engineering from Helsinki University of Technology. She worked as a visiting scholar at Center for Innovation in Product Development at the Massachusetts Institute of Technology. Professor Hölttä-Otto teaches project based design courses as well as courses on design theory and methodology. Her areas of specialization include creativity, need finding, design methodologies and modular product platforms. She is a recipient of the NSF CAREER award and multiple best paper awards. Areas of interest: creativity, need finding, design methodologies, modular product platforms |
Ashvin Hosangadi
Ashvin Hosangadi, Ph.D, is Vice-President at CRAFT Tech where he leads a development team for CFD software. Dr. Hosangadi received his B.Tech from IIT Kharagpur, India, and his Ph.D. from Penn State both in Mechanical Engineering. He has co-authored a chapter on “CFD Analysis of Flow and Performance” for the Pump Handbook. Among other awards, he received the 2013 Sankaraiyer Gopalakrishnan-Flowserve Pump Technology Award for expertise in pump technology. Dr. Hosangadi has also received three Space Achievement Act Awards from NASA for the development of software related to cryogenic fluid analysis for liquid rocket engine. Areas of interest: Fluid power and propulsion systems including high energy pumps and compressors, cryogenic supercritical combustors and design optimization techniques applied to these systems. |
Christopher Hoyle
Dr. Christopher Hoyle is currently an Arthur E. Hitsman Faculty Scholar Associate Professor in the Mechanical Engineering Department at Oregon State University. His research interests are focused upon decision making in engineering design, with emphasis on the early design phase when uncertainty is high and the potential design space is large. His areas of expertise are uncertainty propagation methodologies, Bayesian statistics and modeling, stochastic consumer choice modeling, optimization and design automation. He received his PhD from Northwestern University in Mechanical Engineering in 2009 and his Master’s degree in Mechanical Engineering from Purdue University in 1994. He served as an Adjunct Professor of Mechanical Engineering at Illinois Institute of Technology in 2009 and was an Intern at NASA Ames in 2006. He was previously a Design Engineer, an Engineering Manager, and a Program Manager at Motorola for 10 years before enrolling in the PhD program at Northwestern University. Areas of interest: uncertainty propagation methodologies, Bayesian statistics and modeling, stochastic consumer choice modeling, optimization and design automation |
H. Alicia Kim
H. Alicia Kim is Jacobs Scholar Chair Professor, Structural Engineering Department, University of California San Diego (UCSD). She leads the Multiscale Multiphysics Design Optimization (M2DO) Laboratory, which focuses on design and topology optimization for coupled problems. She currently serves as a Review Editor for the Journal Structural and Multidisciplinary Optimization and on the Editorial Boards for Springer Nature Applied Sciences and Multiscale Science and Engineering. She serves as the Secretary General on the Executive Committee of the International Society of Structural and Multidisciplinary Optimization and several AIAA committees including Multidisciplinary Design Optimization Technical Committee and Complex Aerospace Systems Exchange. She received her Ph.D. and B.Eng. from the University of Sydney, Australia.Areas of interest: topology optimization, multidisciplinary design optimization, computational mechanics, composite materials, multiscale optimization for structure-material systems, multifunctional structures |
Joo H. Kim
Dr. Joo H. Kim is an Associate Professor in the Department of Mechanical and Aerospace Engineering at New York University (NYU). He received a Ph.D. degree in mechanical engineering in 2006, M.S. degrees in mathematics, mechanical engineering, and biomedical engineering, all from the University of Iowa, and a B.S. degree in mechanical engineering from Korea University, Seoul, South Korea. Before joining NYU in 2009, he was an Adjunct Assistant Professor of Mechanical Engineering and Postdoctoral Research Scholar in the Center for Computer-Aided Design at the University of Iowa. Dr. Kim is currently serving as an Associate Editor for the Conference Editorial Board of the IEEE Robotics and Automation Society and for the ASME Journal of Mechanical Design. Dr. Kim is the recipient of several awards and honors, including the 2007 Top Government Technology of the Year Award from the State of Iowa, the 2014 Advanced Modeling and Simulation Best Paper Award from the ASME Computers and Information in Engineering Division, and the 2015 Freudenstein/General Motors Young Investigator Award from the ASME Design Engineering Division. Areas of interest: multibody system dynamics, optimization, motion planning and control, robotics, mechanisms, balance and gait stability |
Ikjin Lee
Dr. Ikjin Lee is an associate professor of Mechanical Engineering at Korea Advanced Institute of Science and Technology (KAIST). He received his M.S. Diploma from the Seoul National University (Korea) in 2003, and Ph.D. (2008) in Mechanical Engineering from the University of Iowa. From 2011 to 2013, he was in the University of Connecticut as an assistant professor, and joined KAIST at 2013. In 2009, he received the International Society of Structural and Multidisciplinary Optimization (ISSMO)/Springer prize for a young scientist.Areas of interest: Design under uncertainty, surrogate modeling, structural design optimization, and simulation model validation |
Mian Li
Mian Li is an Associate Professor in the University of Michigan-Shanghai Jiao Tong University Joint Institute, and adjunct Associate Professor at the School of Mechanical Engineering, at Shanghai Jiao Tong University, Shanghai, China. He received his Ph.D. degree from the Department of Mechanical Engineering, University of Maryland at College Park in 2007 with the Best Dissertation Award. He received his BE (1994) and MS (2001) in Control Engineering both from Tsinghua University, China. Within the Mechanical Engineering Program at the University of Michigan-Shanghai Jiao Tong University Joint Institute, his research work has been focused on robust/reliability based multidisciplinary design optimization and control, funded by NSF China and other funding agencies. He is the member of ASME, IEEE, IES and SAE. Areas of interest: Simulation-based design under uncertainty, multi-objective optimization, multi-disciplinary design optimization, optimal control |
Sheng Li
Dr. Sheng Li is an Associate Professor of Mechanical and Materials Engineering at Wright State University. He received his B.S. in Mechanics and Mechanical Engineering from University of Science and Technology of China in 2003, and PhD in Mechanical Engineering from The Ohio State University in 2009. He is an Associate Editor of Mechanism and Machine Theory, and an Associate Editor of ASME Journal of Mechanical Design. He served as the Chair of the STLE Gears and Gear Lubrication Committee. He served as session chair and coordinator for ASME PTG conferences. Areas of Interest: tribology, contact mechanics, fatigue, and transmission system design |
Julie Linsey
Julie Linsey is an Associate Professor at Georgia Tech and the director of the Innovation, Design Reasoning, Engineering Education and Methods Lab. She received her M.S. and Ph.D. in Mechanical Engineering at UT-Austin and her B.S. from the University of Michigan. She received the 2010 ASEE-ERM (Education Research Methods) Apprentice Faculty award, and the 2018 DTM Best Paper Award. Her research focus is on design methods, theory, and engineering education with a particular focus on innovation and conceptual design. The goal of Dr. Linsey’s research is to discover new knowledge about how engineers think and leverage this knowledge into design methods and tools to improve engineering design. |
Richard Malak
Dr. Richard Malak is Associate Professor and Gulf Oil/Thomas A. Dietz Career Development Professor I in the J. Mike Walker ’66 Department of Mechanical Engineering at Texas A&M University. His research interests include decision making in engineering design and systems engineering (decomposition, delegation, etc.) and the application of computational techniques (optimization, machine learning, AI) to support engineering decision making. Recent applications of his work include morphing supersonic aircraft, functionally graded alloy design and resilient systems of systems. He holds a BS in Electrical Engineering from SUNY Stony Brook, an MS in Electrical and Computer Engineering from Carnegie Mellon University, and MS and PhD degrees in Mechanical Engineering from the Georgia Institute of Technology. From August 2016 to January 2019, Dr. Malak served as Program Director for the Engineering Design and Systems Engineering (EDSE) program in the division of Civil, Mechanical and Manufacturing Innovation (CMMI) of the National Science Foundation. He is the recipient of several awards for teaching and research, including multiple best paper awards from the ASME International Design Engineering Technical Conferences (IDETC) and Computers and Information in Engineering (CIE) conference. |
Daniel A. McAdams
Dr. Daniel A. McAdams is the Robert H. Fletcher Professor in the J. Mike Walker ’66 Department of Mechanical Engineering at Texas A&M University. He received his Ph.D. from the University of Texas at Austin in 1999. He teaches undergraduate courses in design methods, biologically inspired design, and machine element design and graduate courses in product design and dynamics. Dr. McAdams research interests are in the area of design theory and methodology with specific focus on functional modeling; innovation in concept synthesis; biologically inspired design methods; inclusive design; and technology evolution as applied to product design. He has edited a book on biologically inspired design. His research has been supported by federal and private funding agencies.
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Scarlett Miller
Scarlett Miller is an Associate Professor of Engineering Design and Industrial Engineering at The Pennsylvania State University. She also holds graduate appointments in the Department of Mechanical and Nuclear Engineering, the College of Information Sciences and Technology, and the Department of Surgery at Penn State. She earned her BS and MS in Industrial Engineering from the University of Nebraska-Lincoln and her PhD in Industrial Engineering from the University of Illinois at Urbana-Champaign. Miller has been recognized for her research in several ways including a National Science Foundation Faculty Early Career Development (CAREER) award and the James F. Will Career Development Professorship at Penn State.Areas of interest: creativity and innovation, design methodology, risk taking, design decision making, engineering education |
David Myszka
David Myszka is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University of Dayton. He received the B.S. and M.S. degrees in mechanical engineering from the State University of New York at Buffalo, M.B.A. and Ph.D. in mechanical engineering from the University of Dayton. He is author of Machines and Mechanisms: Applied Kinematic Analysis published by Pearson – Prentice Hall. He is co-director of the Design of Innovative Machines Laboratory, where he is involved in several academic and industrial projects related to machine and mechanism design, analysis, and experimentation. Areas of interest: mechanism synthesis, robotics, machine design. |
Julián Norato
Dr. Norato is currently an Associate Professor in Mechanical Engineering at the University of Connecticut, which he joined in 2014. He holds M.Sc. (2003) and Ph.D. (2005) degrees in Mechanical Engineering from the University of Illinois at Urbana-Champaign and a Bachelor’s degree in Mechanical Engineering from the Universidad Nacional de Colombia (1997). Prior to joining UConn, he worked for and led the Product Optimization group at Caterpillar, where he and his team researched numerical methods and developed computational tools for structural and multidisciplinary optimization. Dr. Norato led the development of Caterpillar’s in-house topology optimization code, as well as the development of a method and tool for optimization of welding sequences to reduce weld-induced distortion, for which he and his collaborators received Caterpillar’s Move the Mountain Award in 2014. His current research interests lie in incorporating failure, geometric, manufacturing and cost requirements in computational topology and shape optimization techniques for the design exploration of novel and highly efficient structures and architected materials. Dr. Norato is a 2020 Air Force Research Lab Summer Fellow, the recipient of the 2019 ASME Design Automation Young Investigator Award, a 2018 NSF CAREER awardee and a recipient of the 2017 Office of Naval Research Young Investigator Program award. |
Jitesh H. Panchal
Dr. Jitesh H. Panchal is an Associate Professor in the School of Mechanical Engineering at Purdue University. He received his BTech (2000) from Indian Institute of Technology (IIT) Guwahati, and MS (2003) and Ph.D. (2005) in Mechanical Engineering from Georgia Institute of Technology. Dr. Panchal’s research interests are in the computational design of complex engineering systems with a focus on three areas a) decision making in engineering systems design, b) collective innovation, and c) cyber-physical systems for design and manufacturing. He is a co-author of the book titled “Integrated Design of Multiscale, Multifunctional Materials, and Products”. He is a recipient of CAREER award from the National Science Foundation (NSF), Young Engineer Award and three best paper awards from the ASME International Design Engineering Technical Conferences (IDETC) and Computers and Information in Engineering (CIE) conference, and a university silver medal from IIT Guwahati. |
Alba Perez Gracia
Dr. Alba Perez Gracia is an Affiliate Faculty at Idaho State University and an Associate Professor at the Universitat Politecnica de Catalunya in Barcelona, Spain. She is also working at Remy Robotics SL, a company devoted to make robotics technology a part of the restaurant industry. Areas of interest: kinematics and design of robotic systems |
Xiaoping Qian
Xiaoping Qian is a professor at the University of Wisconsin-Madison. He received his Ph.D. from the University of Michigan, Ann Arbor, and his MS and BS from the Huazhong University of Science and Technology, China, all in mechanical engineering. He is an elected ASME Fellow. He has served as an associate editor for ASME Journal of Manufacturing Science and Engineering and ASME Journal of Computing and Information Science in Engineering as well as in the editorial board of the journal Computer-Aided Design. |
Tahira Reid Smith
Tahira Reid Smith is an Associate Professor in the School of Mechanical Engineering at Purdue University and is the director of the Research in Engineering and Interdisciplinary Design (REID) Laboratory. Her research interests include quantifying and integrating human-centered considerations in the design process and human-machine systems. Her research program has received funding from the National Science Foundation, Air Force Office of Scientific Research, Procter & Gamble, General Motors, Ford Motor Company, and other sources. Prior to arriving to Purdue in 2012, she completed a postdoctoral position in the Mechanical Engineering Department at Iowa State University. In 2010, she received her PhD from the University of Michigan in Design Science, with Mechanical Engineering and Psychology as her focus areas. Dr. Reid Smith received both her BS and MS degrees in Mechanical Engineering from Rensselaer Polytechnic Institute (RPI) in 2000 and 2004, respectively. Areas of interest: human-machine interactions, human-centered design, preference evaluations, decision-making |
Haijun Su
Haijun Su is an Associate Professor in Mechanical and Aerospace Engineering Department at The Ohio State University. Dr. Su received his Ph.D. (2004) from the University of California, Irvine, all in Mechanical Engineering. Awards received by Dr. Su include the MSC Software Simulation paper award in 2002, the finalists of Mechanism and Robotics best paper award in 2005, the NSF Faculty Early Career Development (CAREER) award in 2008, the Compliant Mechanism Theory best paper award in 2009 and 2014, Air Force Summer Faculty Fellowship and ASME M&R Freudenstein/GM Young Investigator award in 2010, Lumley Research Award in 2015, Lumley Interdisciplinary Research Award in 2018. Dr. Su served as a symposium and session chair for the ASME IDETC/CIE conferences in 2008-2012 and the Industry Relation Chair of the 2010 ASME IDETC/CIE. He is currently an Associate Editor of ASME Journal of Mechanisms and Robotics and the chair of 2016 ASME Mechanisms and Robotics Conference. Dr. Su was elected to a Fellow of ASME in 2017. Areas of interest: compliant mechanisms, mechanism synthesis, machine design, robotics, kinematics |
Eun Suk Suh
Dr. Eun Suk Suh is an Associate Professor in the Graduate School of Engineering Practice at Seoul National University, Korea. He completed his Ph.D. in Engineering Systems from Massachusetts Institute of Technology in 2005, an M.Eng. in Mechanical Engineering from Cornell University in 1995, and B.S. in Mechanical Engineering from Clarkson University in 1994. His research interests include system architecture design, design for system properties, product design, and technology infusion analysis. Dr. Suh’s previous professional experiences includes chassis design engineering at Hyundai Motor Company and system architecture research and development at Xerox Corporation. He has several international patents and peer reviewed journal publications in the area of printing system design, technology infusion and product platform development. |
Conrad Tucker
Dr. Conrad Tucker is an Arthur Hamerschlag Career Development Professor of Mechanical Engineering, Machine Learning (Courtesy), and Robotics (Courtesy) at Carnegie Mellon University. His research focuses on the design and optimization of systems through the acquisition, integration and mining of large scale, disparate data. Dr. Tucker has served as PI/Co-PI on federally/non-federally funded grants from the National Science Foundation (NSF), the Air Force Office of Scientific Research (AFOSR), the Defense Advanced Research Projects Agency (DARPA), the Army Research Laboratory (ARL), the Office of Naval Research (ONR) via the NSF Center for eDesign, and the Bill and Melinda Gates Foundation (BMGF). In February 2016, he was invited by National Academy of Engineering (NAE) President Dr. Dan Mote, to serve as a member of the Advisory Committee for the NAE Frontiers of Engineering Education (FOEE) Symposium. He received his Ph.D., M.S. (Industrial Engineering), and MBA degrees from the University of Illinois at Urbana-Champaign, and his B.S. in Mechanical Engineering from Rose-Hulman Institute of Technology. Areas of interest: design and optimization of systems through the acquisition, integration and mining of large scale, disparate data |
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). |
Paul Witherell
Dr. Paul Witherell is a Mechanical Engineer in the Systems Integration Division of the Engineering Laboratory at the National Institute of Standards and Technology (NIST). Paul received his Ph.D. from the Department of Mechanical and Industrial Engineering at the University of Massachusetts Amherst in 2009. Paul joined NIST in 2010 as a National Research Council (NRC) Postdoctoral Fellow. At NIST, Paul manages a project on Systems Integration for Additive Manufacturing and serves as the Associate Program Manager of the Measurement Science for Additive Manufacturing program in the Engineering Laboratory. Paul received the ASME Computers and Information in Engineering (CIE) Division Young Engineer award in 2014. Paul is active in ASTM F42/ ISO TC261 standards efforts and is Vice Chair on ASME’s Y14.46 subcommittee on Product Definition for Additive Manufacturing. Areas of interest: design for additive manufacturing, digital thread for additive manufacturing, design optimization, knowledge representation in product development, ontology and semantic relatedness for design manufacturing, sustainable manufacturing |
Yaoyao Fiona Zhao
Dr. Yaoyao Fiona Zhao is currently an Associate Professor and the head of the Additive Design and Manufacturing Laboratory (ADML) at the Department of Mechanical Engineering in McGill University. She received the Bachelor of Engineering degree from Beijing Institute of Technology, Beijing, China, in 2003, and the Master of Mechanical Engineering degree (First Class Hons.) and Ph.D. degrees from the University of Auckland, Auckland, New Zealand, in 2006 and 2010, respectively. She was a Researcher at the National Institute of Standards and Technology, Gaithersburg, MD, USA, and a Post-Doctoral Research Fellow at Ecole Centrale de Nantes, France, from 2010 to 2012. Her research expertise lies in the general field of design and manufacturing including the exploration of new design methods for additive manufacturing and sustainable manufacturing, developing computational and data analytic tools to improve manufacturing intelligence and cognition. Her team is leading the research in Design for Additive Manufacturing with the development of new design methods and tools to achieve light-weight, multi-functionalities, less part count, better performance and better sustainability performance. Areas of interest: additive manufacturing, sustainable manufacturing, manufacturing intelligence and cognition |
Ping Zhu
Dr. Ping Zhu is a tenured full professor in the School of Mechanical Engineering at Shanghai Jiao Tong University (SJTU), China. He received his Ph.D. in Mechanical System Engineering from Miyazaki University (Japan) in 2000 and was a postdoctoral research fellow in the School of Mechanical Engineering at SJTU. He is currently the Deputy Director of Automotive Safety Division of SAE-China, a senior member of CMES (Chinese Mechanical Engineering Society), a member of ASME and SAE, and an associate editor for the Journal Advances in Information Mining. Prof. Zhu has received a number of awards including the National Science and Technology Advancement Award, and Shanghai Science and Technology Advancement Award. Areas of interest: lightweight design based on material – structure – process – performance integration, Simulation-based design under uncertainty, multidisciplinary design optimization, multiscale design optimization, automotive crashworthiness and structural optimization |
Janet Allen
Janet K. Allen, PhD is a Professor and John and Mary Moore Chair of Industrial Engineering at the University of Oklahoma. She received her SB degree from the Massachusetts Institute of Technology and her PhD from the University of California, Berkeley. She is a Fellow of the American Society of Mechanical Engineers, a Senior Member of the American Institute of Aeronautics and Astronautics and an Honorary Member of Pi Tau Sigma, the mechanical engineering honor society. Areas of interest: simulation based design of complex systems and the management of uncertainty. |
Sesh Commuri
Dr. Commuri is a Professor in electrical and biomedical engineering at the University of Nevada at Reno. He holds a master’s degree from the Indian Institute of Technology in Kanpur and a PhD from the University of Texas, Arlington. He has served as the Editor-at-Large of the International Journal of Intelligent and Robotic Systems and on the Editorial Board of International Journal of Distributed Sensor Networks. In 2015 he was selected ENR Top 25 Newsmakers in the country for his contributions towards Intelligent Compaction. Roger J. Jiao
Roger J. Jiao is a Professor of Engineering Design and Industrial Systems Engineering in the School of Mechanical Engineering at Georgia Institute of Technology, Atlanta, Georgia. Prior to Georgia Tech, He was with Faculty of Mechanical and Production Engineering at Nanyang Technological University in Singapore. He received his PhD in Industrial Engineering from Hong Kong University of Science and Technology, MEng in Mechanical Engineering from Tianjin University in China and BEng in Mechanical Engineering from Tianjin University of Science and Technology in China. More info about his research: http://scholar.google.com/citations?user=9yikEHAAAAAJ&hl
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Christopher McComb
Christopher McComb is an Assistant Professor in the School of Engineering Design, Technology, and Professional Programs at Penn State, where he is a Director of the THRED Group. He is also affiliated with the Institute for Computational and Data Sciences and the Stuckeman Center for Design Computing. He received dual B.S. degrees in Civil and Mechanical Engineering from attended 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. |
Jelena Milisavljevic-Syed
Jelena Milisavljevic-Syed is an Assistant Professor in Industrial Design and co-director of the Systems Realization Laboratory at The University of Liverpool in the United Kingdom. She received her Ph.D. in Mechanical Engineering in 2018 and M.S. in Mechanical Engineering in 2015 from the University of Oklahoma, Norman, and MEng degree in Mechanical Engineering in 2008 from the Mechanical Engineering Faculty, University of Nis. She is a member of ASME, ASEE, GWI, MIET, and Design Society. Her research focus is on integrating design thinking, strategy, and innovation management in the realization of cyber-physical product-service systems adaptable to dynamic market changes as a support further digitalization (smart manufacturing). |
Farrokh Mistree
Farrokh holds the L. A. Comp Chair in the School of Aerospace and Mechanical Engineering at the University of Oklahoma in Norman, Oklahoma. Farrokh received his B. Tech (Hons) degree in Naval Architecture in 1967 from the Indian Institute of Technology, Kharagpur and his Ph.D. in Engineering from the University of California, Berkeley in 1974. Farrokh is a Fellow of ASME, an Associate Fellow of AIAA, a Life Member of The Honor Society of Phi Kappa Phi. Farrokh co-directs the Systems Realization Laboratory @ OU with his wife Professor Janet K. Allen in Industrial and Systems Engineering. The Allen-Mistree research focus is on collaboratively defining the emerging frontier for the “intelligent” decision-based realization of complex (cyber-physical-social) systems when the computational models are incomplete and inaccurate. Farrokh’s passion is to have fun in providing an opportunity for highly motivated and talented people to learn how to define and achieve their dreams. |
Yi Ren
Yi Ren is an Assistant Professor in Mechanical Engineering at Arizona State University. He received his Ph.D. in Mechanical Engineering from the University of Michigan in 2012 and his B.Eng. degree in Automotive Engineering from Tsinghua University in 2007. Dr. Ren’s current research focuses on the development of robust machine learning mechanisms for risk-sensitive tasks, with particular focus on accelerated computational engineering design and verifiable human-machine interactions. His work is supported by multiple NSF grants and an Amazon Research Award. He won the Best Paper Award at the 2015 ASME International Design and Engineering Technical Conferences. Areas of interest: Optimization, Machine Learning, Engineering Design |
Dirk Schaefer
Professor Dirk Schaefer holds the Chair in Industrial Design at the University of Liverpool in the UK. He is the Director of the Systems Realization Laboratory at the University of Liverpool, and an international thought leader in Cloud-Based Design and Technology for Digital Manufacturing in the context of Industry 4.0. Previously, Professor Schaefer held academic positions at the University of Bath (UK), the Georgia Institute of Technology (US), and the University of Durham (UK). He earned a PhD in Computer Science from the University of Stuttgart (Germany), a MS in Mathematics from the University of Duisburg (Germany), and an Advanced College Certificate in Mechanical Engineering. His accomplishments comprise more than 180 technical publications, including ten books. He has delivered more than 120 talks at events all over the world. Professor Schaefer is a registered Professional Engineer in Europe (Eur Ing), a Chartered Engineer (CEng), Chartered Technological Product Designer (CTPD), Chartered Scientist (CSci), and a Chartered IT-Professional (CITP) in the UK. He is a Fellow of the British Computer Society (FBCS), the Institute of Mathematics and its Applications (FIMA), and the Royal Society for the Encouragement of Arts, Manufactures and Commerce (FRSA). In addition, he is a professional member of the Institution of Engineering Designers (IED), the Design Society (DS), the American Society of Mechanical Engineers (ASME), the Institute of Electrical and Electronic Engineers (IEEE), the Association for Computing Machinery (ACM) and the American Society for Engineering Education (ASEE). Areas of interest: Design/Product Development; Digital/Smart Manufacturing; Systems Engineering; Industry 4.0; Health 4.0; Engineering Education. |
Daniel Selva
Daniel Selva is an Assistant Professor of Aerospace Engineering at Texas A&M University, where he directs the Systems Engineering, Architecture, and Knowledge (SEAK) Lab. His research interests focus on artificial intelligence and human-machine collaboration for early design or architecting of complex engineered systems. Dr. Selva holds dual BS+Masters degrees in electrical and aerospace engineering from Universitat Politecnica de Catalunya and Supaero, and a PhD in Space Systems Engineering from MIT. Before doing his PhD in Space Systems at MIT, Dr. Selva also worked for 4 years in Kourou (French Guiana) as an avionics specialist within the Ariane 5 Launch team. Areas of interest: system architecture; knowledge representation and reasoning; knowledge extraction; explainable AI; cognitive assistants; global optimization; multi-objective optimization; sensitivity analysis; machine learning. |
Amy Suski
assistant@asmejmd.org Amy Suski is the founder of Actuator Editorial Services, LLC. She received a B.A. from Wellesley College and a J.D. from the University of Virginia School of Law. She has experience in business law, web publishing, freelance editing and as Assistant to the Editors-in-Chief of the American Institute of Aeronautics and Astronautics Journal , ASME’s Journal of Computational and Nonlinear Dynamics, and ASME’s Journal of Mechanisms and Robotics. |