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Stefano MartinianiView profile

Assistant Professor

• Computational and Statistical Physics
• Materials Science
• Artificial Intelligence for Science
• +5 more

Stefano Martiniani is an Assistant Professor of Physics, Chemistry, Mathematics, and Neuroscience at New York University, affiliated with the Center for Soft Matter Research and the Simons Center for Computational Physical Chemistry. His interdisciplinary research explores computational physics of complex systems, including neural circuit theories, non-equilibrium statistical mechanics, and AI-driven materials discovery. He has pioneered methods for analyzing high-dimensional energy landscapes and received prestigious awards like the NSF CAREER Award (2024) and IUPAP Early Career Prize (2023). Education: PhD in Physics (2017), University of Cambridge MPhil in Physics (2013), University of Cambridge BSc in Physics (2012), Imperial College London Research Interests: His work bridges statistical physics and artificial intelligence, focusing on: Engineering disordered materials with tailored spectral properties Quantifying entropy production in active matter Developing open science frameworks like ColabFit for machine learning interatomic potentials Neural circuit models for cortical communication Grants & Collaborations: Funded by NSF, NIH, Chan Zuckerberg Initiative, and Simons Foundation. Leads interdisciplinary teams in computational physics, AI, and materials science. Labs/Initiatives: Core member of NYU's Center for Soft Matter Research; develops software tools like FReSCo and KLIFF-Torch for computational materials science.

Corentin CoulaisView profile

Professor

• Mechanical Metamaterials
• Active Matter
• Topological Materials
• +5 more

Dr. Corentin Coulais is a Professor in the Department of Physics at the University of Amsterdam's Faculty of Science. He leads the Machine Materials Laboratory, focusing on cutting-edge research at the intersection of physics, materials science, and engineering. His work explores the fundamental mechanics of structured materials and their applications in robotics, sensing, and programmable matter. Dr. Coulais's research interests center on mechanical metamaterials, active matter, and topological materials. His laboratory investigates how to design materials with unprecedented properties by leveraging mechanical instabilities, nonlinearity, and topology. His work spans from fundamental theoretical concepts to practical applications in soft robotics, shape-morphing structures, and energy absorption systems. The research combines experimental approaches with computational modeling and increasingly incorporates machine learning techniques for design optimization. His recent publications reveal a strong trend toward increasingly sophisticated control of material behavior through topological principles, active components, and learning algorithms. His work has evolved from basic mechanical metamaterials to systems incorporating non-reciprocity, active matter principles, and machine learning for design. The research spans fundamental physics of mechanical systems to practical applications in robotics and programmable matter. Dr. Coulais has established the Machine Materials Laboratory as a leading center for mechanical metamaterials research. His team develops innovative experimental setups and theoretical frameworks to explore the rich behavior of structured materials. The laboratory maintains strong connections with other research groups internationally and collaborates across disciplines including physics, engineering, and computer science.

• Medical Robotics
• Image-guided Surgery
• Teleoperation Systems
• +3 more

Tim Salcudean is a Professor in the Department of Electrical & Computer Engineering and School of Biomedical Engineering at the University of British Columbia, holding the Charles A. Laszlo Chair in Biomedical Engineering. His research focuses on medical robotics, teleoperation systems, and image-guided interventions, with notable contributions to ultrasound technology, needle steering, and surgical robotics. He collaborates with clinicians to advance diagnostic and therapeutic methods, particularly in prostate cancer imaging and robot-assisted surgery. Key research themes include haptic interfaces, control systems for teleoperation, and biomedical device development. His work combines robotics, control theory, and medical imaging to enhance precision and safety in surgical procedures. Notable projects involve robotic systems for medical ultrasound and adaptive control strategies for stable teleoperation under time delays. Publications span over three decades, emphasizing medical robotics, image-guided interventions, and control systems. His research has been widely cited, reflecting significant impact in both engineering and healthcare fields. Current efforts aim to integrate artificial intelligence with medical imaging to improve cancer diagnosis and treatment planning.

Armando FoxView profile

Professor

• Software as a Service
• Cloud Computing
• Parallel Programming
• +3 more

Armando Fox is a Professor in the Department of Electrical Engineering and Computer Sciences at UC Berkeley, where he co-leads the ASPIRE Lab and directs the Berkeley MOOCLab. His work focuses on integrating online learning research into educational frameworks. He holds a PhD, MS and BS from Berkeley, Illinois, and MIT respectively. Fox's research spans applied statistical machine learning, Software as a Service (SaaS), cloud computing, parallel programming, and innovative online education methods. He pioneered Berkeley's first MOOC on software engineering and co-authored the textbook Engineering Software as a Service . His recent publications demonstrate strong focus on: AI-enhanced education tools and assessment systems Cloud-based learning management architectures Generative AI for collaborative programming education Automated testing frameworks for computer science Significant awards include: NSF CAREER Award ACM Distinguished Member Scientific American 50 top researcher recognition Fox previously contributed to Intel Pentium Pro microprocessor design and founded a mobile computing company based on his dissertation research.

Anja SchlömerkemperView profile

Professor

• Mathematical Analysis
• Partial Differential Equations
• Calculus of Variations
• +3 more

Prof. Anja Schlömerkemper holds the Chair of Mathematics in the Sciences at the University of Würzburg since 2011 and serves as Vice President responsible for Equal Opportunities, Career Planning, and Sustainability. She earned her PhD in Mathematics from the University of Leipzig (2002) and held postdoctoral positions at institutions including the University of Oxford and the Max Planck Institute for Mathematics in the Sciences. Her research focuses on mathematical analysis, particularly partial differential equations and calculus of variations, with applications to materials science and physics. She investigates mathematical methods to model material behavior at micro and macro scales, including elastic and magnetic materials. Her work bridges theoretical analysis and practical applications in continuum mechanics. She has contributed to fluid-rigid body interactions, magnetoelastic materials, and phase transitions. As Vice President, she promotes gender equality, supports early-career researchers, and advances sustainability across the university's research, teaching, and administration. Education: PhD in Mathematics (Leipzig, 2002) and Diploma in Physics (Göttingen, 1998). Professional Experience includes roles at the Universities of Bonn, Erlangen-Nuremberg, and Stuttgart, as well as the Max Planck Institute. Research interests also encompass homogenization theory, dislocation dynamics, and stochastic discrete systems. She leads interdisciplinary projects, collaborates internationally, and advises on academic policies.

Kyle J. M. BishopView profile

Professor

• Active Matter
• Colloidal Assembly
• Soft Matter Physics
• +3 more

Kyle J. M. Bishop is Professor of Chemical Engineering at Columbia University's Fu Foundation School of Engineering and Applied Science (Columbia Engineering), where he leads research at the intersection of active matter, soft materials, and micro-robotics. Appointed in 2016 after serving as Assistant Professor at Penn State and postdoctoral fellow with George Whitesides at Harvard, his work focuses on non-equilibrium assembly of colloidal systems. Education: BS in Chemical Engineering (highest distinction), University of Virginia PhD, Northwestern University Professor Bishop's research pioneers strategies for directing colloidal assembly outside thermodynamic equilibrium, with emphases on magnetic micro-robot navigation, synchronization phenomena in active matter, and electrochemical control of soft materials. His lab develops fundamental principles for programming collective behavior in synthetic systems, bridging chemical engineering, physics, and robotics to create materials with lifelike functionalities. Recent work explores biomolecular condensates, field-driven transport, and non-equilibrium information processing. Analysis of his 2023-2025 publications reveals a cohesive trajectory toward autonomous control of active systems: magnetic micro-robots navigate complex landscapes through field programming, enzymatic coacervates implement biological feedback loops, and oscillator networks achieve emergent synchronization. These studies span soft matter physics, electrochemistry, and microfluidics, consistently targeting applications in programmable materials and environmental engineering while advancing non-equilibrium thermodynamics. Scientific Awards: 3M Non-tenured Faculty award NSF CAREER award for 'Contact Charge Electrophoresis for Mobile Microfluidics' Professor Bishop secures substantial research funding including his NSF CAREER grant developing contact charge electrophoresis for microfluidic applications. While current students aren't listed in source materials, his lab trains graduate researchers in experimental soft matter physics and micro-robotics. His group collaborates across disciplines to translate fundamental discoveries into technologies for targeted delivery and environmental remediation. The Bishop Lab at Columbia Engineering operates as an interdisciplinary hub where chemical engineers, physicists, and materials scientists develop experimental platforms for manipulating colloids at fluid interfaces, with recent work focusing on magneto-capillary dynamics and field-programmable micro-robot swarms.

Jihua GouView profile

Professor

• Composite Materials
• Nanocomposites
• Advanced Manufacturing
• +3 more

Jihua Gou serves as Professor and Graduate Program Coordinator at the University of Central Florida, leading the Composite Materials and Structures Lab with research spanning aerospace, biomedical, and energy applications. His work bridges fundamental material science with industrial implementation through NASA collaborations and industry partnerships. His academic foundation includes: Bachelor's and Master's degrees in Materials Engineering from Chongqing University (1993, 1996) Ph.D. in Materials Engineering from Shanghai Jiao Tong University (1999) Ph.D. in Industrial Engineering from Florida State University (2002) Professor Gou's research centers on composite materials and structures , nanocomposite materials , multi-functional coatings , and advanced manufacturing processes . His lab pioneers machine learning integration for predicting material behavior in extreme environments, develops tissue-mimicking hydrogels for medical applications, and creates hydrogen-resistant coatings critical for space exploration. Recent breakthroughs include materials preventing hydrogen leaks in NASA's Artemis program and high-temperature coatings for turbine systems. Analysis of his 2020-2025 publications reveals three dominant research thrusts: (1) AI-driven modeling of ceramic composites for hypersonic applications, (2) biomimetic hydrogel development for lung tissue equivalence, and (3) nanotechnology-enhanced manufacturing for multifunctional composites. These intersect at the crossroads of materials informatics, sustainable manufacturing, and extreme-environment performance. His scientific recognition includes: UCF CECS Distinguished Researcher Award (2012) Best Paper Award, American Society of Civil Engineers (2010) Best Poster Award, American Ceramic Society (2014) UCF Teaching Incentive Program Award (2017) As Graduate Program Coordinator, Professor Gou mentors doctoral candidates in materials engineering and secures significant research funding through NASA partnerships and UCF initiatives. His lab currently directs projects on hydrogen infrastructure materials, thermal protection systems for hypersonic vehicles, and 3D-printed smart composites with self-healing capabilities. The Composite Materials and Structures Lab maintains specialized facilities for nanocomposite synthesis, in-situ characterization, and extreme-condition testing. Current team efforts include developing carbon nanotube-reinforced coatings for spacecraft, machine learning frameworks for ablation prediction, and biodegradable hydrogels for medical implants, positioning the lab at the forefront of next-generation material solutions.

• Soft matter modeling
• electrospray deposition
• colloidal transport
• +5 more

Xin Yong serves as an Associate Professor in the Department of Mechanical and Aerospace Engineering at the School of Engineering and Applied Sciences, University at Buffalo, where his research spans soft matter physics, nanomaterial synthesis, and biological interface engineering. His academic foundation includes: PhD in Mechanical Engineering from Rensselaer Polytechnic Institute (2012) BS in Physics and Economics from Peking University (2007) Dr. Yong's work integrates computational and experimental approaches to investigate: Electrospray-based nanomaterial fabrication and particle assembly Nanoparticle-membrane interactions across biological systems Hydrodynamics of active matter and microswimmers Mechanisms of bacterial outer membrane vesicle biogenesis Environmental impacts of microplastics and quantum dots Analysis of his 2022-2025 publications reveals dominant themes in bacterial membrane mechanics, nanoparticle-biological system interactions, and Janus particle engineering. His methodology combines molecular dynamics, machine learning-enhanced simulations, and optical characterization to address challenges in nanomedicine and environmental nanotechnology. His research excellence is recognized through: Binghamton University Watson School Early Stage Distinguished Research Award (2020) ACS Petroleum Research Fund Doctoral New Investigator Award (2016) NYS/UUP Individual Development Awards (2016, 2017) Supported by competitive grants including the ACS PRF award, his program likely mentors graduate students in computational nanomechanics while collaborating with microbiology and environmental science teams. His current work focuses on membrane stress phenomena and nanoparticle transport dynamics. Though specific lab infrastructure isn't detailed in source materials, his electrospray and optical coherence tomography research suggests advanced nanofabrication and imaging capabilities within university core facilities.

Xiaoyun ShaoView profile

Professor

• Structural Engineering
• Seismic Analysis
• Real-Time Hybrid Simulation
• +5 more

Dr. Xiaoyun Shao is a Professor of Civil and Construction Engineering at Western Michigan University (WMU), serving as faculty advisor and director of the Laboratory of Earthquake Structural Simulation. Her expertise spans structural engineering, seismic analysis, real-time hybrid simulation, and natural hazard mitigation. She holds a Ph.D. from the University of Buffalo and M.S./B.S. degrees from Tongji University. As a Professional Engineer (PE) in Michigan, she focuses on advancing experimental methods for infrastructure resilience. Education: Ph.D. in Structural Engineering, University at Buffalo, SUNY (2004) M.S. in Structural Engineering, Tongji University, China (2001) B.S. in Structural Engineering, Tongji University, China (1998) Research Interests: Real-time hybrid simulation techniques for coupled systems (e.g., vehicle-bridge, train-bridge) Seismic response of soft-story wood-frame buildings and retrofit strategies Dynamic behavior of offshore wind turbines and floating structures Advanced materials in construction (elastomeric adhesives, SMA devices) BIM interoperability and digital twin applications Her lab develops innovative testing platforms, including distributed real-time hybrid systems for floating wind turbines and full-scale seismic experiments. Recent work includes interdisciplinary collaborations on adhesive roof construction and computational methods for NHERI projects. Awards and Recognition: Not explicitly listed in provided text. Advising and Grants: Leads the LESS lab’s Ph.D. recruitment for 2025, focusing on natural hazard engineering. Collaborates with teams on NSF-funded projects involving hybrid testing and energy systems. Labs/Teams: Director of WMU’s Laboratory of Earthquake Structural Simulation; member of interdisciplinary teams analyzing floating offshore wind turbines and seismic retrofits.

Patrizia CantonView profile

Professor

• Physical Chemistry
• Materials Science
• Transmission Electron Microscopy
• +6 more

Patrizia Canton is a Full Professor at the Department of Molecular Sciences and Nanosystems of Ca' Foscari University of Venice , where she serves as Deputy Director. Her research focuses on structural characterization of nanomaterials using advanced techniques like Transmission Electron Microscopy and X-ray Diffraction, with applications in quantum dots , catalysis , and photothermal agents . She leads the Responsible for Teaching and Research Activities in the Laboratory (RDRL) and supervises multiple international research collaborations. Key research areas: Physical Chemistry, Nanotechnology, Spectroscopy Recent publications highlight work on luminescent nanothermometers, CuInS 2 quantum dots, and catalytic metal nanoparticles She has received prestigious awards including the Young Scientist Award (International Union of Crystallography) and IUCR Journal of Applied Crystallography referee roles. Her funded projects span European Commission initiatives like Horizon 2020 and national PRIN/Erasmus+ programs.

• Mechanical Metamaterials
• Soft Matter Physics
• Pattern Formation and Chaos
• +7 more

Prof. dr. Martin van Hecke is a group leader at the FOM Institute AMOLF in Amsterdam and a professor of physics at Leiden University. He obtained his PhD in theoretical physics from Leiden University in 1996 and has since led interdisciplinary research at the intersection of experiments, simulations, and theory in soft matter and mechanical metamaterials. Professor of Physics, Leiden University Part-time Group Leader, AMOLF PI of the 'Designer Matter' and 'Modern Mechanics' initiatives His research focuses on harnessing disorder and frustration in materials to design systems where complex behavior emerges, particularly in mechanical metamaterials capable of storing and processing information. Key areas include pattern formation, origami-inspired design, jamming, and the inverse problem in material science. Notable scientific awards include the Vici grant (2011) and the ERC-Advanced grant (2021). His group at AMOLF actively trains PhD students such as Bernat Dura Faulí, Colin Meulblok, and Margot Teunisse, while pioneering collaborations in programmable materials and soft robotics. Selected publications highlight his work on emergent memory , geometric control , non-Abelian mechanics , and information processing in materials . His research infrastructure leverages the AMOLF NanoLab and Transmission Electron Microscope (TEM) facilities.

Clemens V. VerhooselView profile

Associate Professor

• Computational Mechanics
• Isogeometric Analysis
• Fluid Dynamics
• +5 more

Clemens V. Verhoosel is an Associate Professor in Computational Methods for Model- and Data-Driven Engineering at Eindhoven University of Technology (TU/e). He holds positions in the Department of Mechanical Engineering under the Energy Technology and Fluid Dynamics section, and is affiliated with the EAISI Foundational initiative. His research focuses on scan-based immersed isogeometric analysis, uncertainty quantification, and Bayesian inference for complex engineering problems. He leads the Group Verhoosel and manages the Engineering Mechanics Graduate School since 2018. Education: MSc (Aerospace Engineering, TU Delft, 2005, cum laude PhD, TU Delft, 2009). Postdoctoral research at University of Texas at Austin (2009-2010). Awarded NWO VENI Grant (2011). Research interests include numerical methods for solid mechanics, fluid dynamics, coupled problems, and applications in biomedical engineering (e.g., cardiac mechanics). He develops open-source tools like the Nutils toolkit and collaborates with industry partners such as Evalf Computing. Key contributions include isogeometric analysis for fracture mechanics, phase-field models, and mesh-free simulation workflows. Honors: NWO Veni Award (2011). Teaching includes Advanced Discretization Techniques and Scientific Computing courses. Active in professional activities, including invited talks on cardiac mechanics and computational methods.

Yuhang ChenView profile

Professor

• Biomedical Engineering
• Mechanics
• Materials Science
• +3 more

Yuhang Chen is a Professor of Biomedical Engineering at Heriot-Watt University, affiliated with the School of Engineering & Physical Sciences and the Institute of Mechanical, Process & Energy Engineering. He holds a B.Eng. in Mechanics from Tongji University (2007) and a Ph.D. in Mechanical Engineering from the University of Sydney (2011). His research focuses on experimental and computational mechanics applied to biomedical engineering, including tissue scaffolds, cancer mechanics, and structural optimization. Key projects involve multiscale mechanics in soft tissue cancers and biomechanical analysis of porous materials. Yuhang’s work intersects engineering, materials science, and biomedicine. His lab develops innovative approaches such as biodegradable systems modeling and poroelastic finite element analysis. He has contributed to peer-reviewed journals and datasets, including EPSRC-funded research. His expertise aligns with Sustainable Development Goals related to health and functional materials. Notable publications include studies on compartment syndrome models and auxetic metamaterials. Yuhang’s research group maintains the lab website at tissuemech.hw.ac.uk .

Jean-Jacques HeringsView profile

Professor

• Game Theory
• Microeconomics
• Networks
• +4 more

Jean-Jacques Herings is a Full Professor of Quantitative Microeconomics at Tilburg University's Tilburg School of Economics and Management (TiSEM), specifically within the Department of Econometrics and Operations Research. He has held this position since March 2022, having previously been a Professor of Economics at Maastricht University from September 1999 to February 2022. Herings' research focuses on five primary themes: Cooperative game theory, non-cooperative game theory, networks, general equilibrium theory, and equilibrium computation. His work spans theoretical foundations and practical applications, particularly in financial networks, matching markets, and strategic decision-making. He has published over 200 research outputs including articles in top journals such as Econometrica, Journal of Economic Theory, Management Science, and Mathematics of Operations Research. His recent publications reveal a continued focus on game-theoretic applications to economic problems, with particular attention to financial networks, bankruptcy problems, matching theory, and information design. There's a clear trend toward computational methods for finding equilibria and increasingly sophisticated modeling of strategic interactions in networked environments, with over 13 publications in 2024 alone demonstrating his active research program. Johannes Cornelis Ruigrok Prize (1997) Lionel W. McKenzie Prize (2008) VICI grant from NWO Fellow of the Game Theory Society (2017) Secretary-Treasurer of Game Theory Society (2014-2022) Fellow of the Society for the Advancement of Economic Theory (2019) As an advisor, Herings has supervised over 20 PhD students to completion, with research spanning game theory applications in economics, finance, and network theory. His editorial service includes membership on the boards of Games and Economic Behavior, Journal of Mathematical Economics, International Journal of Game Theory, and Mathematics of Operations Research. He also serves on the International Advisory Board of the Center for Mathematical Research in Economics and Finance at the University of Manchester.

Kris DorseyView profile

Associate Professor

• Soft Robotics
• Wearable Devices
• Active and Multifunctional Materials
• +3 more

Kris Dorsey is an Associate Professor at Northeastern University, holding dual appointments in the Department of Electrical and Computer Engineering (College of Engineering) and the Department of Physical Therapy, Movement, and Rehabilitation Sciences (Bouvé College of Health Sciences). She also serves as an MLK Visiting Associate Professor at MIT’s Media Lab. Her research focuses on soft robotics, wearable medical devices, and multifunctional materials. Dr. Dorsey earned her Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University and a B.S. from Olin College. Education: Ph.D., Electrical and Computer Engineering, Carnegie Mellon University, 2013 B.S., Electrical and Computer Engineering, Olin College Her research interests include designing reconfigurable soft sensors for medical and robotic applications, with a focus on integrating flexible electronics and active materials. Notable projects include the PARSES (Programmable and Reconfigurable Soft Engineered Systems) group, which explores soft robotics and wearable technologies for healthcare and industrial use. Key Awards: NSF CAREER Award (2019) Japan-America Frontiers of Engineering Participant (2023) Journal of Micromechanics and Microengineering Emerging Leader (2022) Emerging Leader Abie Award (2022) Dr. Dorsey’s work emphasizes interdisciplinary collaboration, bridging engineering, healthcare, and materials science. She mentors students in Northeastern’s undergraduate research programs and leads initiatives funded by NSF and industry partnerships.