Stanford University


Showing 51-96 of 96 Results

  • Sanjiva Lele

    Sanjiva Lele

    Edward C. Wells Professor of the School of Engineering and Professor of Mechanical Engineering

    BioProfessor Lele's research combines numerical simulations with modeling to study fundamental unsteady flow phemonema, turbulence, flow instabilities, and flow-generated sound. Recent projects include shock-turbulent boundary layer interactions, supersonic jet noise, wind turbine aeroacoustics, wind farm modeling, aircraft contrails, multi-material mixing and multi-phase flows involving cavitation. He is also interested in developing high-fidelity computational methods for engineering applications.

  • Marc Levenston

    Marc Levenston

    Associate Professor of Mechanical Engineering and, by courtesy, of Radiology (Radiological Sciences Laboratory)

    Current Research and Scholarly InterestsMy lab's research involves the function, degeneration and repair of musculoskeletal soft tissues, with a focus on meniscal fibrocartilage and articular cartilage. We are particularly interested in the complex interactions between biophysical and biochemical cues in controlling cell behavior, the roles of these interactions in degenerative conditions such as osteoarthritis, and development of tissue engineered 3D model systems for studying physical influences on primary and progenitor cells.

  • Adrian Lew

    Adrian Lew

    Professor of Mechanical Engineering

    BioProf. Lew's interests lie in the broad area of computational solid mechanics. He is concerned with the fundamental design and mathematical analysis of material models and numerical algorithms.

    Currently the group is focused on the design of algorithms to simulate hydraulic fracturing. To this end we work on algorithms for time-integration embedded or immersed boundary methods.

  • Christian Linder

    Christian Linder

    Professor of Civil and Environmental Engineering and, by courtesy, of Mechanical Engineering

    BioChristian Linder is a Professor of Civil and Environmental Engineering and, by courtesy, of Mechanical Engineering. Through the development of novel and efficient in-house computational methods based on a sound mathematical foundation, the research goal of the Computational Mechanics of Materials (CM2) Lab at Stanford University, led by Dr. Linder, is to understand micromechanically originated multi-scale and multi-physics mechanisms in solid materials undergoing large deformations and fracture. Applications include sustainable energy storage materials, flexible electronics, and granular materials.

    Dr. Linder received his Ph.D. in Civil and Environmental Engineering from UC Berkeley, an MA in Mathematics from UC Berkeley, an M.Sc. in Computational Mechanics from the University of Stuttgart, and a Dipl.-Ing. degree in Civil Engineering from TU Graz. Before joining Stanford in 2013 he was a Junior-Professor of Micromechanics of Materials at the Applied Mechanics Institute of Stuttgart University where he also obtained his Habilitation in Mechanics. Notable honors include a Fulbright scholarship, the 2013 Richard-von-Mises Prize, the 2016 ICCM International Computational Method Young Investigator Award, the 2016 NSF CAREER Award, and the 2019 Presidential Early Career Award for Scientists and Engineers (PECASE).

  • Ade Mabogunje

    Ade Mabogunje

    Sr Research Engineer

    BioAde Mabogunje conducts research on the design thinking process with a view to instrumenting and measuring the process and giving feedback to design thinking teams on ways to improve their performance. He works in collaboration with partners in the engineering education, design practice and investment community as a participant-observer in the practice of building and developing ecosystems that support accelerated and continuous innovation in products and services. Prior to this he was the associate director of the Stanford Center for Design Research (CDR). He was also the lead of the Real-time Venture Design Lab program (ReVeL) in the school of Humanities and Sciences. His industry experience includes engineering positions at the French Oil Company Elf (now Total) and research collaboration with Artificial Intelligence Scientists at NASA Ames. He has publications in the areas of design theory and methodology, knowledge management, emotions in engineering, design protocol analysis, and engineering-design education.

  • Dr. Arun Majumdar

    Dr. Arun Majumdar

    Dean, Stanford Doerr School of Sustainability, Jay Precourt Professor, Professor of Mech Eng, of Energy Sci & Eng, of Photon Science, Senior Fellow at Woods and by courtesy, of Materials Sci & Eng and Senior Fellow, by courtesy, at Hoover

    BioDr. Arun Majumdar is the inaugural Dean of the Stanford Doerr School of Sustainability. He is the Jay Precourt Provostial Chair Professor at Stanford University, a faculty member of the Departments of Mechanical Engineering and Energy Science and Engineering, a Senior Fellow and former Director of the Precourt Institute for Energy and Senior Fellow (courtesy) of the Hoover Institution. He is also a faculty in Department of Photon Science at SLAC.

    In October 2009, Dr. Majumdar was nominated by President Obama and confirmed by the Senate to become the Founding Director of the Advanced Research Projects Agency - Energy (ARPA-E), where he served until June 2012 and helped ARPA-E become a model of excellence and innovation for the government with bipartisan support from Congress and other stakeholders. Between March 2011 and June 2012, he also served as the Acting Under Secretary of Energy, enabling the portfolio of Office of Energy Efficiency and Renewable Energy, Office of Electricity Delivery and Reliability, Office of Nuclear Energy and the Office of Fossil Energy, as well as multiple cross-cutting efforts such as Sunshot, Grid Modernization Team and others that he had initiated. Furthermore, he was a Senior Advisor to the Secretary of Energy, Dr. Steven Chu, on a variety of matters related to management, personnel, budget, and policy. In 2010, he served on Secretary Chu's Science Team to help stop the leak of the Deep Water Horizon (BP) oil spill.

    Dr. Majumdar serves as the Chair of the Advisory Board of the US Secretary of Energy, Jennifer Granholm. He led the Agency Review Team for the Department of Energy, Federal Energy Regulatory Commission and the Nuclear Regulatory Commission during the Biden-Harris Presidential transition. He served as the Vice Chairman of the Advisory Board of US Secretary of Energy, Dr. Ernest Moniz, and was also a Science Envoy for the US Department of State with focus on energy and technology innovation in the Baltics and Poland. He also serves on numerous advisory boards and boards of businesses, investment groups and non-profit organizations.

    After leaving Washington, DC and before joining Stanford, Dr. Majumdar was the Vice President for Energy at Google, where he assembled a team to create technologies and businesses at the intersection of data, computing and electricity grid.

    Dr. Majumdar is a member of the US National Academy of Sciences, US National Academy of Engineering and the American Academy of Arts and Sciences. His research in the past has involved the science and engineering of nanoscale materials and devices, especially in the areas of energy conversion, transport and storage as well as biomolecular analysis. His current research focuses on redox reactions and systems that are fundamental to a sustainable energy future, multidimensional nanoscale imaging and microscopy, and an effort to leverage modern AI techniques to develop and deliver energy and climate solutions.

    Prior to joining the Department of Energy, Dr. Majumdar was the Almy & Agnes Maynard Chair Professor of Mechanical Engineering and Materials Science & Engineering at University of California–Berkeley and the Associate Laboratory Director for energy and environment at Lawrence Berkeley National Laboratory. He also spent the early part of his academic career at Arizona State University and University of California, Santa Barbara.

    Dr. Majumdar received his bachelor's degree in Mechanical Engineering at the Indian Institute of Technology, Bombay in 1985 and his Ph.D. from the University of California, Berkeley in 1989.

  • Ali Mani

    Ali Mani

    Associate Professor of Mechanical Engineering

    BioAli Mani is an associate professor of Mechanical Engineering at Stanford University. He is a faculty affiliate of the Institute for Computational and Mathematical Engineering at Stanford. He received his PhD in Mechanical Engineering from Stanford in 2009. Prior to joining the faculty in 2011, he was an engineering research associate at Stanford and a senior postdoctoral associate at Massachusetts Institute of Technology in the Department of Chemical Engineering. His research group builds and utilizes large-scale high-fidelity numerical simulations, as well as methods of applied mathematics, to develop quantitative understanding of transport processes that involve strong coupling with fluid flow and commonly involve turbulence or chaos. His teaching includes the undergraduate engineering math classes and graduate courses on fluid mechanics and numerical analysis.

  • Alison Marsden

    Alison Marsden

    Douglass M. and Nola Leishman Professor of Cardiovascular Diseases, Professor of Pediatrics (Cardiology) and of Bioengineering and, by courtesy, of Mechanical Engineering

    Current Research and Scholarly InterestsThe Cardiovascular Biomechanics Computation Lab at Stanford develops novel computational methods for the study of cardiovascular disease progression, surgical methods, and medical devices. We have a particular interest in pediatric cardiology, and use virtual surgery to design novel surgical concepts for children born with heart defects.

  • Michaëlle Ntala Mayalu

    Michaëlle Ntala Mayalu

    Assistant Professor of Mechanical Engineering and, by courtesy, of Bioengineering

    BioDr. Michaëlle N. Mayalu is an Assistant Professor of Mechanical Engineering. She received her Ph.D., M.S., and B.S., degrees in Mechanical Engineering at the Massachusetts Institute of Technology. She was a postdoctoral scholar at the California Institute of Technology in the Computing and Mathematical Sciences Department. She was a 2017 California Alliance Postdoctoral Fellowship Program recipient and a 2019 Burroughs Wellcome Fund Postdoctoral Enrichment Program award recipient. She is also a 2023 Hypothesis Fund Grantee.

    Dr. Michaëlle N. Mayalu's area of expertise is in mathematical modeling and control theory of synthetic biological and biomedical systems. She is interested in the development of control theoretic tools for understanding, controlling, and predicting biological function at the molecular, cellular, and organismal levels to optimize therapeutic intervention.

    She is the director of the Mayalu Lab whose research objective is to investigate how to optimize biomedical therapeutic designs using theoretical and computational approaches coupled with experiments. Initial project concepts include: i) theoretical and experimental design of bacterial "microrobots" for preemptive and targeted therapeutic intervention, ii) system-level multi-scale modeling of gut associated skin disorders for virtual evaluation and optimization of therapy, iii) theoretical and experimental design of "microrobotic" swarms of engineered bacteria with sophisticated centralized and decentralized control schemes to explore possible mechanisms of pattern formation. The experimental projects in the Mayalu Lab utilize established techniques borrowed from the field of synthetic biology to develop synthetic genetic circuits in E. coli to make bacterial "microrobots". Ultimately the Mayalu Lab aims to develop accurate and efficient modeling frameworks that incorporate computation, dynamical systems, and control theory that will become more widespread and impactful in the design of electro-mechanical and biological therapeutic machines.

  • Beverley J McKeon

    Beverley J McKeon

    Professor of Mechanical Engineering

    BioBeverley McKeon is Professor of Mechanical Engineering at Stanford University. Previously she was the Theodore von Karman Professor of Aeronautics at the Graduate Aerospace Laboratories at Caltech (GALCIT) and a former Deputy Chair of the Division of Engineering and Applied Science. She received M.A. and M.Eng. degrees from the University of Cambridge and a Ph.D. in Mechanical and Aerospace Engineering from Princeton University. Her research interests include interdisciplinary approaches to manipulation of boundary layer flows using morphing surfaces, fundamental experimental investigations of wall turbulence at high Reynolds number, the development of resolvent analysis for modeling turbulent flows, and assimilation of experimental data for efficient low-order flow modeling. McKeon was the recipient of a Vannevar Bush Faculty Fellowship from the DoD in 2017, a Presidential Early Career Award (PECASE) in 2009 and an NSF CAREER Award in 2008, and is a Fellow of the APS and AIAA. She currently serves as co-Lead Editor of Phys. Rev. Fluids and on the editorial board of the Annual Review of Fluid Mechanics, and is past Editor-in-Chief of Experimental Thermal and Fluid Science. She is the Past Chair of the US National Committee on Theoretical and Applied Mechanics and the APS representative.

  • Shahab Mirjalili

    Shahab Mirjalili

    Physical Science Research Scientist

    Current Research and Scholarly InterestsBroadly, my research lies in the intersection of fluid mechanics, scientific computing, and machine learning. My work aims to develop and use computational methods to provide a predictive understanding of complex flow problems, including those involving multi-physics couplings and multiphase dynamics across a wide range of scales and Reynolds numbers. In this vein, I develop physically consistent models, robust numerical schemes, and high-performance computing (HPC) software that enable high-fidelity simulations of flows involving complex multi-physics effects. These developments build upon my novel work on modeling multiphase flows and my high-performance multiphase, multi-physics software. In addition to simulations, I use asymptotic analyses and machine learning (ML) to construct reduced-order models (ROMs) that can be used for engineering analysis, control, design, and especially optimization. I am interested in a wide range of applications involving impactful problems. In particular, I am passionate about improving the predictive understanding of multiphase flows in:
    - Propulsion and energy conversion/storage
    - Additive manufacturing processes
    - Biophysical systems
    - Environmental flows

  • Reginald Mitchell

    Reginald Mitchell

    Professor of Mechanical Engineering, Emeritus

    BioProfessor Mitchell's primary area of research is concerned with characterizing the physical and chemical processes that occur during the combustion and gasification of pulverized coal and biomass. Coals of interest range in rank from lignite to bituminous and biomass materials include yard waste, field and seed crop residues, lumber mill waste, fruit and nut crop residues, and municipal solid waste. Experimental and modeling studies are concerned with char reactivity to oxygen, carbon dioxide and steam, carbon deactivation during conversion, and char particle surface area evolution and mode of conversion during mass loss.

    Mitchell’s most recent research has been focused on topics that will enable the development of coal and biomass conversion technologies that facilitate CO2 capture. Recent studies have involved characterizing coal and biomass conversion rates in supercritical water environments, acquiring the understanding needed to develop chemical looping combustion technology for applications to coals and biomass materials, and developing fuel cells that use coal or biomass as the fuel source. Studies concerned with characterizing coal/biomass blends during combustion and gasification processes are also underway.

    Professor Mitchell retired from Stanford University in July 2020, after having served over 29 years as a professor in the Mechanical Engineering Department.

  • Paul Mitiguy

    Paul Mitiguy

    Lecturer

    BioFrom Milton MA and LaSalette, Paul did his undergraduate work at Tufts University and his mechanical engineering graduate work (Ph.D) at Stanford under Thomas Kane.

    As a young adult, Paul worked summers landscaping, farming, and construction, then worked at MIT Lincoln Laboratory, NASA Ames, and MSC.Software, was a consulting editor for McGraw-Hill (mechanics), and has been a consultant for the software, robotics, biotechnology, energy, automotive, and mechanical/aerospace industries.

    He developed force/motion software used by more than 12 million people worldwide and translated into 11 spoken languages. These software applications include Interactive Physics, Working Model 2D/3D, MSC.visualNastran 4D (now SimWise), NIH Simbody/OpenSim, and the symbolic manipulators Autolev/MotionGenesis.

    Paul currently works on Drake, open-source software developed by TRI (Toyota Research Institute) to simulate robots and autonomous vehicles. In his role as Lead TRI/Stanford Liaison for SAIL (Toyota's Center for AI Research at Stanford), he facilitates research between TRI and Stanford.

    At Stanford, Paul greatly enjoys working with students and teaches mechanics (physics/engineering), controls/vibrations, and advanced dynamics & computation/simulation. He has written several books on dynamics, computation, and control (broadly adopted by universities and professionals).

    Paul is highly appreciative of support from Stanford alumni/CEO Dave Baszucki who developed internationally acclaimed physics, engineering, and gaming/educational software, including Interactive Physics, Working Model, MSC.visualNastran, and Roblox.

    He is very grateful to students, co-instructors (TAs), faculty, and staff.

  • Parviz Moin

    Parviz Moin

    Franklin P. and Caroline M. Johnson Professor in the School of Engineering
    On Partial Leave from 10/01/2023 To 06/30/2024

    BioMoin is the founding director of the Center for Turbulence Research. Established in 1987 as a research consortium between NASA and Stanford, Center for Turbulence Research is devoted to fundamental studies of turbulent flows. Center of Turbulence Research is widely recognized as the international focal point for turbulence research, attracting diverse groups of researchers from engineering, mathematics and physics. He was the founding director of the Institute for Computational and Mathematical Engineering at Stanford.

    Professor Moin pioneered the use of direct and Large Eddy Simulation techniques for the study of turbulence physics, control and modelling concepts and has written widely on the structure of turbulent shear flows. His current interests include: Computational physics, Physics and control of turbulent boundary layers, hypersonic flows, propulsion, flow control, large eddy simulation for aerospace applications and aircraft icing.

  • Drew Nelson

    Drew Nelson

    Professor of Mechanical Engineering, Emeritus

    BioResearch involves development of improved methods for predicting the fatigue life of engineering materials, incuding the effects of manufacturing processes, and investigation of new approaches in the field of experimental mechanics, such as determination of residual stresses using optical methods.

  • Allison Okamura

    Allison Okamura

    Richard W. Weiland Professor in the School of Engineering

    Current Research and Scholarly InterestsMy research focuses on developing the principles and tools needed to realize advanced robotic and human-machine systems capable of physical interaction. Application areas include surgery, simulation and training, rehabilitation, prosthetics, neuromechanics, exploration of hazardous and remote environments (e.g. space), design, and education.

  • Marco Pavone

    Marco Pavone

    Associate Professor of Aeronautics and Astronautics and, by courtesy, of Electrical Engineering and of Computer Science

    BioDr. Marco Pavone is an Associate Professor of Aeronautics and Astronautics at Stanford University, where he directs the Autonomous Systems Laboratory and the Center for Automotive Research at Stanford. He is also a Distinguished Research Scientist at NVIDIA where he leads autonomous vehicle research. Before joining Stanford, he was a Research Technologist within the Robotics Section at the NASA Jet Propulsion Laboratory. He received a Ph.D. degree in Aeronautics and Astronautics from the Massachusetts Institute of Technology in 2010. His main research interests are in the development of methodologies for the analysis, design, and control of autonomous systems, with an emphasis on self-driving cars, autonomous aerospace vehicles, and future mobility systems. He is a recipient of a number of awards, including a Presidential Early Career Award for Scientists and Engineers from President Barack Obama, an Office of Naval Research Young Investigator Award, a National Science Foundation Early Career (CAREER) Award, a NASA Early Career Faculty Award, and an Early-Career Spotlight Award from the Robotics Science and Systems Foundation. He was identified by the American Society for Engineering Education (ASEE) as one of America's 20 most highly promising investigators under the age of 40. His work has been recognized with best paper nominations or awards at a number of venues, including the European Conference on Computer Vision, the IEEE International Conference on Robotics and Automation, the European Control Conference, the IEEE International Conference on Intelligent Transportation Systems, the Field and Service Robotics Conference, the Robotics: Science and Systems Conference, and the INFORMS Annual Meeting.

  • Peter Pinsky

    Peter Pinsky

    Professor of Mechanical Engineering, Emeritus

    BioPinsky works in the theory and practice of computational mechanics with a particular interest in multiphysics problems in biomechanics. His work uses the close coupling of techniques for molecular, statistical and continuum mechanics with biology, chemistry and clinical science. Areas of current interest include the mechanics of human vision (ocular mechanics) and the mechanics of hearing. Topics in the mechanics of vision include the mechanics of transparency, which investigates the mechanisms by which corneal tissue self-organizes at the molecular scale using collagen-proteoglycan-ion interactions to explain the mechanical resilience and almost perfect transparency of the tissue and to provide a theoretical framework for engineered corneal tissue replacement. At the macroscopic scale, advanced imaging data is used to create detailed models of the 3-D organization of collagen fibrils and the results used to predict outcomes of clinical techniques for improving vision as well as how diseased tissue mechanically degrades. Theories for mass transport and reaction are being developed to model metabolic processes and swelling in tissue. Current topics in the hearing research arena include multiscale modeling of hair-cell mechanics in the inner ear including physical mechanisms for the activation of mechanically-gated ion channels. Supporting research addresses the mechanics of lipid bilayer cell membranes and their interaction with the cytoskeleton. Recent past research topics include computational acoustics for exterior, multifrequency and inverse problems; and multiscale modeling of transdermal drug delivery. Professor Pinsky currently serves as Chair of the Mechanics and Computation Group within the Department of Mechanical Engineering at Stanford.

  • Friedrich Prinz

    Friedrich Prinz

    Leonardo Professor, Professor of Mechanical Engineering, of Materials Science and Engineering and Senior Fellow at the Precourt Institute for Energy

    BioFritz Prinz is the Leonardo Professor in the School of Engineering at Stanford University, Professor of Materials Science and Engineering, Professor of Mechanical Engineering, and Senior Fellow at the Precourt Institute for Energy. He also serves as the Director of the Nanoscale Prototyping Laboratory and Faculty Co-director of the NPL-Affiliate Program. A solid-state physicist by training, Prinz leads a group of doctoral students, postdoctoral scholars, and visiting scholars who are addressing fundamental issues on energy conversion and storage at the nanoscale. In his Laboratory, a wide range of nano-fabrication technologies are employed to build prototype fuel cells and capacitors with induced topological electronic states. We are testing these concepts and novel material structures through atomic layer deposition, scanning tunneling microscopy, impedance spectroscopy and other technologies. In addition, the Prinz group group uses atomic scale modeling to gain insights into the nature of charge separation and recombination processes. Before coming to Stanford in 1994, he was on the faculty at Carnegie Mellon University. Prinz earned a PhD in Physics at the University of Vienna.

  • Bernard Roth

    Bernard Roth

    Professor of Mechanical Engineering, Emeritus

    BioRoth is one of the founders of the Hasso Plattner Institute of Design at Stanford (the d.school) and is active in its development: currently, he serves as Academic Director. His design interests include organizing and presenting workshops on creativity, group interactions, and the problem solving process. Formerly he researched the kinematics, dynamics, control, and design of computer controlled mechanical devices. In kinematics, he studied the mathematical theory of rigid body motions and its application to the design of machines.

  • Juan G. Santiago

    Juan G. Santiago

    Charles Lee Powell Foundation Professor

    Current Research and Scholarly Interestshttp://microfluidics.stanford.edu/Projects/Projects.html

  • Eric S.G. Shaqfeh

    Eric S.G. Shaqfeh

    Lester Levi Carter Professor and Professor of Mechanical Engineering

    Current Research and Scholarly InterestsI have over 25 years experience in theoretical and computational research related to complex fluids following my PhD in 1986. This includes work in suspension mechanics of rigid partlcles (rods), solution mechanics of polymers and most recently suspensions of vesicles, capsules and mixtures of these with rigid particles. My research group is internationally known for pioneering work in all these areas.

  • Joon Hyung Shim

    Joon Hyung Shim

    Visiting Professor, Mechanical Engineering

    Bio2010 National Renewable Energy Lab (NREL), Researcher
    2009 Stanford University, Mechanical Engineering, Lecturer
    2009 Stanford University, Mechanical Engineering, Ph.D.
    2004 Stanford University, Mechanical Engineering, M.S.
    2002 Seoul National University, Mechanical & Aerospace Engineering, B.S.

  • David Sirkin

    David Sirkin

    Lecturer

    BioDavid Sirkin is a Research Associate at Stanford University's Center for Design Research, where he focuses on design methodology, as well as the design of physical interactions between humans and robots, and autonomous vehicles and their interfaces. He is also a Lecturer in Electrical Engineering, where he teaches interactive device design. David frequently collaborates with, and consults for, local Silicon Valley and global technology companies including Siemens, SAP and Microsoft Research. He grew up in Florida, near the Everglades, and in Maine, near the lobsters.

  • Sindy Tang

    Sindy Tang

    Associate Professor of Mechanical Engineering, Senior Fellow at the Woods Institute for the Environment and Professor, by courtesy, of Radiology and of Bioengineering
    On Leave from 04/01/2024 To 06/30/2024

    Current Research and Scholarly InterestsThe long-term goal of Dr. Tang's research program is to harness mass transport in microfluidic systems to accelerate precision medicine and material design for a future with better health and environmental sustainability.

    Current research areas include: (I) Physics of droplets in microfluidic systems, (II) Interfacial mass transport and self-assembly, and (III) Applications in food allergy, single-cell wound repair, and the bottom-up construction of synthetic cell and tissues in close collaboration with clinicians and biochemists at the Stanford School of Medicine, UCSF, and University of Michigan.

    For details see https://web.stanford.edu/group/tanglab/

  • George Toye

    George Toye

    Adjunct Professor

    BioGeorge Toye, Ph.D., P.E., is adjunct professor in Mechanical Engineering at Stanford University.

    While teaching advanced project-based engineering design thinking and STEM-based innovations at the graduate level as part of ME310, he also contributes to research in varied topics in engineering education, and effective globally-distributed team collaborations. As well, he remains active in entrepreneurship and varied advising/consulting work.

    George earned his B.S. and M.S. degrees in Mechanical Engineering from U.C. Berkeley, and Ph.D. in Mechanical Engineering with minor in Electrical Engineering from Stanford University.

    Since 1983, he has enjoyed volunteering annually to organize regional and state-level Mathcounts competitions to promote mathematics education amongst middle-school aged students.

  • Ken Waldron

    Ken Waldron

    Professor (Research) of Mechanical Engineering, Emeritus

    BioKenneth J. Waldron is Professor of Mechanical and Mechatronic Engineering at UTS. He is also Professor Emeritus from the Design Group in the Department of Mechanical Engineering of Stanford University. He holds bachelors and masters degrees from the University of Sydney, and PhD from Stanford. He works in machine design, and design methodology with a particular focus on robotic and mechatronic systems.

  • Hai Wang

    Hai Wang

    Professor of Mechanical Engineering

    BioHai Wang is Professor of Mechanical Engineering at Stanford University. His research interests are high-speed propulsion, combustion, and renewable energy conversion. His current research topics include combustion chemistry of conventional and renewable fuels, detonation, high-speed propulsion, quantum-chemistry guided battery materials design, transport theories. He is the author and coauthor of recent papers in scholarly journals, including "Stable sodium-sulfur electrochemistry enabled by phosphorus-based complexation" in PNAS, “Geometric modeling and analysis of detonation cellular stability" in Proceedings of the Combustion Institute, "Flame-formed carbon nanoparticles exhibit quantum dot behaviors" in PNAS, "Nanoparticles in dilute gases: Equivalence of momentum accommodation and surface adsorption" in Physical Review E, "A Physics-based approach to modeling real-fuel combustion chemistry. I. Evidence from experiments, and thermodynamic, chemical kinetic and statistical considerations" in Combustion and Flame, and “Formation of nascent soot and other condensed-phase materials in flames” in Proceedings of the Combustion Institute. He is currently the Editor-in-Chief of Progress in Energy and Combustion Science, a highly influential energy journal published by Elsevier with an impact factor of 35.3 (2021), and the Vice President (President-Elect) of the Combustion Institute.

  • Renee Zhao

    Renee Zhao

    Assistant Professor of Mechanical Engineering and, by courtesy, of Materials Science and Engineering

    BioRuike Renee Zhao is an Assistant Professor of Mechanical Engineering at Stanford University where she directs the Soft Intelligent Materials Laboratory. Renee received her BS degree from Xi'an Jiaotong University in 2012, and her MS and PhD degrees from Brown University in 2014 and 2016, respectively. She was a postdoc associate at MIT during 2016-2018 prior to her appointment as an Assistant Professor in the Department of Mechanical and Aerospace Engineering at The Ohio State University from 2018 to 2021.

    Renee’s research focuses on the development of stimuli-responsive soft composites for multifunctional robotic systems with integrated shape-changing, assembling, sensing, and navigation. By combining mechanics, polymer engineering, and advanced material manufacturing techniques, the functional soft composites enable applications in soft robotics, miniaturized biomedical devices, flexible electronics, and deployable and morphing structures.

    Renee is a recipient of the ARO Early Career Program (ECP) Award (2023), AFOSR Young Investigator Research Program (YIP) Award (2023), Eshelby Mechanics Award for Young Faculty (2022), ASME Henry Hess Early Career Publication Award (2022), ASME Pi Tau Sigma Gold Medal (2022), ASME Applied Mechanics Division Journal of Applied Mechanics Award (2021), NSF Career Award (2020), and ASME Applied Mechanics Division Haythornthwaite Research Initiation Award (2018).

  • Xiaolin Zheng

    Xiaolin Zheng

    Professor of Mechanical Engineering, of Energy Science Engineering and, by courtesy, of Materials Science and Engineering

    BioProfessor Zheng received her Ph.D. in Mechanical & Aerospace Engineering from Princeton University (2006), B.S. in Thermal Engineering from Tsinghua University (2000). Prior to joining Stanford in 2007, Professor Zheng did her postdoctoral work in the Department of Chemistry and Chemical Biology at Harvard University. Professor Zheng is a member of MRS, ACS and combustion institute. Professor Zheng received the TR35 Award from the MIT Technology Review (2013), one of the 100 Leading Global Thinkers by the Foreign Policy Magazine (2013), 3M Nontenured Faculty Grant Award (2013), the Presidential Early Career Award (PECASE) from the white house (2009), Young Investigator Awards from the ONR (2008), DARPA (2008), Terman Fellowship from Stanford (2007), and Bernard Lewis Fellowship from the Combustion Institute (2004).