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Christopher Rycroft is a Professor and Associate Chair in the Department of Mathematics at the University of Wisconsin–Madison. He leads the Rycroft Group, which focuses on mathematical modeling and scientific computation for interdisciplinary applications in science and engineering. Prior to joining UW-Madison in summer 2022, he was a professor at Harvard University's School of Engineering and Applied Sciences from 2014-2022, and before that a Morrey Assistant Professor at UC Berkeley from 2010-2013. Professor Rycroft's research spans three main areas: numerical methods for material mechanics, data-driven discovery, and computational geometry. His group develops new computational methods while working directly with domain scientists. Key achievements include the development of the reference map technique for fluid-structure interaction, Voro++ software library for Voronoi tessellation, and novel approaches to understanding crumpling physics. His work combines traditional analysis and modeling with machine learning methods to extract scientific insights from complex data. The Rycroft Group's publication record demonstrates a strong trajectory of interdisciplinary research bridging mathematics, physics, materials science, and biology. Recent work has focused on fluid-structure interaction, computational geometry applications, mechanical metamaterials, and biological fluid dynamics. The group develops both theoretical frameworks and practical software tools that have found applications across diverse scientific domains from materials science to virology. Everett Mendelsohn Award for Excellence in Mentorship (2021) Professor Rycroft has advised numerous PhD and master's students who have gone on to postdoctoral positions at institutions including MIT, EPFL, and Cornell. His teaching includes advanced scientific computing courses that have quadrupled in enrollment during his tenure. He has secured research funding supporting his group's work on computational methods and interdisciplinary applications. The Rycroft Group consists of graduate students, postdocs, and collaborators with diverse backgrounds in applied mathematics, physics, engineering, and computer science. The group maintains active collaborations with researchers across multiple institutions and participates in centers such as the Harvard Quantitative Biology Initiative.

• Mathematical Modeling
• Scientific Computation
• Numerical Methods
• +5 more

Areg Danagoulian is an Associate Professor of Nuclear Science and Engineering at the Massachusetts Institute of Technology (MIT), where he conducts research at the intersection of nuclear physics and security applications. His work focuses on developing technological solutions for nuclear nonproliferation, arms control, and cargo security. Dr. Danagoulian earned his PhD in Experimental Nuclear Physics from the University of Illinois at Urbana-Champaign, where his thesis focused on real Compton scattering on the proton at 2-6 GeV to probe the proton's internal structure. Following his PhD, he worked as a postdoctoral researcher at Los Alamos National Laboratory and then as a senior scientist at Passport Systems, Inc. (PSI), where he developed the Prompt Neutron from Photofission (PNPF) technique for detecting shielded fissionable materials in cargo traffic. His research interests span multiple critical areas in nuclear security, including arms control verification technologies, nuclear nonproliferation methods, cargo security systems, and nuclear detection techniques. Dr. Danagoulian's work on nuclear resonance phenomena for warhead verification represents groundbreaking contributions to the field of nuclear disarmament verification. Dr. Danagoulian's research has earned him significant recognition, including: Fellow of the American Physical Society, Forum on Physics and Society (2025) - "For seminal technological contributions in the field of arms control and cargo security, which significantly benefit international security" Arms Control Association's Arms Control Person(s) of the Year award (2020) - "For developing an innovative new nuclear disarmament verification process using neutron beams" American Nuclear Society Radiation Science and Technology Award (2019) - "For technology-critical contributions exploiting nuclear resonance phenomena for warhead verification in nuclear disarmament and nuclear detection techniques in cargo security" In addition to his research, Dr. Danagoulian is actively involved in teaching and mentoring. He serves as faculty co-director for MIT's MISTI Eurasia program and teaches several graduate courses including Nuclear Detection Laboratory (22.09, 22.90), Advanced Nuclear Laboratory (22.s902), and Applied Nuclear Physics (22.101). His teaching approach emphasizes hands-on laboratory experience to prepare students for real-world nuclear detection challenges. Dr. Danagoulian leads the Laboratory for Applied Nuclear Physics (LANPh) at MIT, where his team develops innovative technologies for nuclear security applications. Current research directions include nuclear resonance transmission analysis for material identification, portable detection systems for cargo security, and cryptographic approaches to nuclear warhead verification that protect sensitive information while enabling verification.

• Nuclear Security
• Arms Control
• Nuclear Nonproliferation
• +6 more

Koroush Shirvan is the Atlantic Richfield Career Development Professor in Energy Studies and a tenured faculty member in MIT's Department of Nuclear Science and Engineering within the School of Engineering. Joined in July 2017, he directs the Reactor Technology Course for Utility Executives and leads the Fission Materials in Extreme Environments Lab. His work bridges nuclear engineering with practical industrial applications for decarbonization. His research focuses on reactor design economics, materials testing under irradiation, nuclear safety, and boiling heat transfer. He accelerates innovations in nuclear fuels, small modular reactors, and space propulsion through multi-scale physics integration. Current projects include accident-tolerant fuels, high-temperature materials for microreactors, and AI-driven optimization of reactor systems. His approach combines experimental irradiation testing at MITR with advanced computational modeling. Recent publications reveal strong trends toward economic nuclear deployment via advanced fuel technologies and small modular reactors. AI/ML applications dominate optimization research, particularly for core reload and uncertainty quantification. Materials science under extreme conditions remains central, with growing emphasis on space nuclear applications and horizontal reactor configurations for cost reduction. His scientific recognition includes: Nuclear News 40 under 40 (2024) American Nuclear Society Landis Young Member Engineering Achievement Award (2023) American Nuclear Society Reactor Technology Award (2022) Teaching responsibilities span Sustainable Energy (22.811/081), Graduate Reactor Physics, and Nuclear Design courses. Research grants support experimental programs at MIT Reactor Lab and computational frameworks for reactor-to-repository analysis. He mentors students through senior design projects and graduate research in nuclear fuel cycles. He directs the Fission Materials in Extreme Environments Lab and co-leads MIT's Space Nuclear initiative with AeroAstro. The team conducts irradiation experiments using MITR's high-temperature hydrogen flow capabilities and advanced diagnostics for post-irradiation examination. Current thrusts include nuclear thermal rocket materials testing and fission surface power development for lunar/Mars missions.

• Nuclear Reactor Design
• Advanced Nuclear Fuels
• Small Modular Reactors
• +6 more

Dr. Rosana Collepardo is a Winton Advanced Research Fellow at the Cavendish Laboratory, University of Cambridge, where she leads a research group within the Theory of Condensed Matter (TCM) Group and is also affiliated with the Biological and Soft Systems group. Her research focuses on developing multi-scale computational models to investigate chromatin nanostructure, epigenetic regulation, and biomolecular condensates, with applications in understanding genome organization and sustainable data storage. Her primary research interests include: Computational biophysics of chromatin and epigenetics Mechanisms of biomolecular condensates and phase separation Nanoscale structure of the genome and DNA accessibility Multi-scale modeling from atomistic to mesoscale Design principles for chromatin-inspired data storage Analysis of her recent publications (2023-2025) reveals a dominant focus on chromatin organization, epigenetic mechanisms, and biomolecular condensates. Key trends include the role of nucleosome spacing, linker histones, and epigenetic modifications in chromatin phase separation, alongside investigations into condensate aging, material properties, and the physical principles of phase transitions in RNA-protein systems. Her work consistently integrates computational modeling with experimental validation. Notable scientific awards include: Winton Advanced Research Fellowship ERC Starting Grant Dr. Collepardo actively mentors PhD and MPhil students, including Sivapalan Chelvaniththilan (MPhil in Physics, recipient of Gates and Winton Scholarships), Miguel Garcia Ortegon (MPhil in Scientific Computing), Stephen Farr (PhD in Computational Methods for Materials Science), Akshay Sridhar (MPhil in Scientific Computing), and Adiran Garaizar (PhD with EPSRC scholarship). Her group secures competitive funding through ERC grants and student scholarships. The Collepardo group, established in 2016 at the Maxwell Centre, Cavendish Laboratory, comprises postdoctoral researchers, PhD students, and MPhil candidates. They collaborate with experimental groups to study chromatin dynamics and biomolecular condensates using advanced computational techniques, contributing to fundamental biological understanding and potential biotechnological applications.

• Computational Biophysics
• Chromatin Structure
• Epigenetics
• +4 more

Abraham D. Stroock is an Assistant Professor at the School of Chemical and Biomolecular Engineering, Cornell University, since 2003. He holds a B.A. in Physics (Cornell, 1995), M.S. in Solid State Physics (University of Paris, 1997), and Ph.D. in Chemical Engineering (Harvard, 2002). His research bridges microfluidics, biophysics, and sustainable energy. Education: B.A., Physics, Cornell University (1995) M.S., Solid State Physics, University of Paris VI/XI (1997) Ph.D., Chemical Engineering, Harvard University (2002) The Stroock Lab explores micrometer-scale chemical processes inspired by plant biology, focusing on liquid manipulation, negative-pressure water properties, vascular development in tissue engineering, and fluid mechanics in microsystems. Key technologies include microtensiometers and nanoporous membranes . His recent work (2025-2024) spans optical phenotyping using soft robotics, hydromechanical signaling in plants, tissue scaffolds for regenerative medicine, and advanced models for transpiration control. These studies integrate bioengineering, nanotechnology, and environmental science. Scientific Awards: Van Ness Lectureship (2010) Camille Dreyfus Teacher Scholar Award (2009) NSF CAREER Award (2008) MIT Technology Review TR35 (2007) ONR Young Investigator Award (2004) 3M Non-Tenured Faculty Award (2006) Beckman Young Investigator Award (2006) Dreyfus New Faculty Award (2003) He has led projects on superheated loop heat pipes , phosphorescent oxygen sensors , and synthetic tree-on-a-chip systems. His teaching includes advanced biomolecular engineering (ChemE 7770), and he contributes to policy through the Chemistry and Chemical Biology (CBE) Policy Committee.

• Microfluidics
• Biophysical Processes
• Vascular Development
• +10 more

Marat I. Latypov serves as Assistant Professor in the Department of Materials Science and Engineering at the University of Arizona's College of Engineering. He is also a member of the Applied Mathematics Graduate Interdisciplinary Program and leads the Materials Informatics Lab. His research spans computational materials science, sustainable alloy design, and machine learning applications for materials development. Dr. Latypov holds a PhD in Materials Science and Engineering from Pohang University of Science and Technology (POSTECH, South Korea, 2014) and a Dipl.-Ing. in Engineering Physics from Ufa State Aviation Technical University (Russia, 2011). His postdoctoral training included appointments at Georgia Tech/CNRS in France and the University of California, Santa Barbara. His research focuses on materials informatics , physics-informed machine learning , and sustainable structural alloys . Key methodologies include graph neural networks for polycrystal mechanics, vision transformers for microstructure representation, and adaptive experimental design for materials optimization. Recent work emphasizes circular economy applications through construction waste recycling and copper mine tailings valorization. Analysis of his publication record reveals strong emphasis on computational microstructure-property linkages (35% of recent work), machine learning for materials design (30%), and sustainable materials processing (25%), with growing integration of large language models for materials knowledge extraction. NSF CAREER Award (2025) : For damage control in recycled aluminum alloys ISTI Distinguished Faculty Scholar (2024) : At Los Alamos National Laboratory Novelis Hackathon First Prize (2021) : Computer vision application Acta Materialia Outstanding Reviewer (2018) Young Researcher Award (2017) : NanoSPD7 Conference Dr. Latypov advises PhD students including Herbold Fellow Zhuocheng Huang and leads projects funded by NSF and the Grantham Foundation. Current initiatives include chalcopyrite leaching optimization for copper mining and graph neural network development for fatigue prediction. His Materials Informatics Lab maintains collaborations with Los Alamos National Laboratory, MIT, and industry partners including Novelis. The lab operates at the intersection of metallurgy , machine learning , and high-performance computing , with capabilities spanning deep learning, Bayesian inference, and cloud-based computational infrastructure. Recent news highlights participation in CODAS-HEP summer school and publication of vision transformer work in Acta Materialia.

• Materials Science
• Computational Materials Science
• Materials Informatics
• +4 more

Victor Torres Company is an Assistant Professor at Chalmers University of Technology, leading the Ultrafast Photonics group in the Department of Microtechnology and Nanoscience. His research focuses on photonic integration, nonlinear physics, and laser frequency combs for next-generation fiber optic communication systems. European Research Council Consolidator Grant (2018) VR Consolidator Grant (2020) Marie Curie Fellowship His recent work includes wafer-scale manufacturing of photonic molecule microcombs, ultralow-loss waveguide development, and noise reduction techniques in parametric oscillators. He also co-founded Iloomina AB (2021) to commercialize chip-scale frequency comb technology.

• Photonics
• Nonlinear Optics
• Laser Technology
• +5 more

Brandon Schmandt is a Professor in the Department of Earth, Environmental and Planetary Sciences at Rice University, where he leads research using seismology to investigate Earth systems. His work integrates interdisciplinary approaches, data science, and numerical modeling to study tectonic processes, magmatic systems, and environmental interactions. His educational background includes a PhD in Geological Sciences from the University of Oregon (2011) and a BA in Environmental Studies from Warren Wilson College (2006). Dr. Schmandt's research focuses on seismology, tectonics, volcanology, and surface processes , with emphasis on seismic imaging of subsurface structures. His group employs innovative time-series analysis and field projects to resolve geologic history and contemporary Earth dynamics, particularly examining fault zones, magmatic reservoirs, and deep convective processes. Key methodologies include dense seismic arrays and machine learning applications. Analysis of his recent publications (2023-2025) reveals dominant trends in seismic event discrimination (earthquakes vs. explosions), magmatic system imaging (Yellowstone, Cascades), and global mantle structure studies. There is strong emphasis on induced seismicity, machine learning applications, and high-resolution imaging of Earth's discontinuities using dense arrays. His distinguished honors include: Aki Award of the AGU Seismology Section GSA Donath Medal AGU Macelwane Medal Body Dr. Schmandt directs an active research group conducting field projects across diverse settings including the Raton Basin, Yellowstone, Antarctica, and the Caribbean. While specific student advisees and grant details aren't provided in available materials, his group's work involves collaborative data collection, advanced computational modeling, and development of novel seismic analysis techniques applicable to both natural and anthropogenic seismic sources. The research program maintains focus on magmatic systems beneath volcanic regions, induced seismicity mechanisms, and global mantle structure using dense node arrays and interdisciplinary approaches to address fundamental questions in Earth dynamics.

• Seismology
• Tectonics
• Volcanology
• +4 more

Elliot Hawkes is an Associate Professor in the Department of Mechanical Engineering at the University of California, Santa Barbara (UCSB). His research bridges design, mechanics, and non-traditional materials to develop robust, adaptable, human-safe robots for uncertain environments. He leads the Hawkes Lab, focusing on bio-inspired microstructured adhesives, nonlinear compliant mechanisms, soft actuators, exoskeletons, and growing robots. PhD from Stanford University, 2015 Postdoctoral Scholar at Stanford's CHARM Lab, 2015-2016 Assistant Professor at UCSB since 2016 Current projects include: Material-like robotic collectives with spatiotemporal control Variable friction shoe for locomotor therapy High-force soft actuators for industrial applications Vine-inspired robots for search and rescue Growing robots for biomedical and environmental use Recent publications in Science and Nature highlight breakthroughs in soft robotics and human-safe actuation. His team has received multiple NSF GRFP awards and a UCSB Regents Fellowship. The lab holds patents in adhesive gripping, soft actuation, and reconfigurable robotics.

• Dynamic Systems
• Control & Robotics
• Micro & Nano Technology
• +5 more

Prof. Dr. Jürgen Biela serves as Full Professor at ETH Zurich within the Department of Information Technology and Electrical Engineering, where he leads the Laboratory for High Power Electronic Systems. His academic career at ETH Zurich has progressed from doctoral studies to his current position as head of his research laboratory, with significant contributions to power electronics research and education. Biela earned his diploma with honors from Friedrich-Alexander University in Erlangen, Germany in 2000 and completed his Ph.D. at ETH Zurich in 2005, both in electrical engineering. His educational background includes specialized work on resonant DC-link inverters at Strathclyde University and active control of series connected IGCTs at the Technical University of Munich. His research program focuses on multi-physics modeling, design and optimization of power electronic systems , with particular emphasis on applications for future energy distribution and transmission, pulsed power systems, and advanced medium voltage power electronics based on novel semiconductor technologies like silicon carbide (SiC). He also investigates integrated passive components for ultra-compact and ultra-efficient high-power converter systems, pushing the boundaries of power density and efficiency in electronic power conversion. Analysis of his recent publications reveals strong trends in high-frequency power conversion , with significant work on transformer and inductor design, insulation systems for medium-frequency applications, thermal management of power components, and advanced modeling techniques for electromagnetic phenomena. His research bridges fundamental electromagnetic theory with practical engineering applications, particularly in high-voltage and high-power scenarios where traditional approaches face limitations. As a prolific researcher, Biela has published over 85 journal papers and 210 conference papers while holding more than 35 patents. He serves as an Associate Editor for the IEEE Transactions on Power Electronics and regularly reviews for leading journals and conferences in the field. His work demonstrates consistent contributions to advancing power electronic systems through rigorous theoretical analysis combined with practical implementation. Biela has supervised numerous doctoral and master's students, with recent publications indicating active mentorship of researchers working on advanced power electronic components and systems. His laboratory at ETH Zurich serves as a hub for innovation in high-power electronics, with connections to industry research projects that translate theoretical advances into practical applications. Current research directions include developing cost-effective alternatives to traditional components like Litz wire, improving insulation systems for high-voltage applications, and creating more accurate models for predicting thermal and electromagnetic behavior in power electronic systems.

• Power Electronics
• Multi-physics Modeling
• High Power Electronic Systems
• +6 more

Axel Hoffmann is a Professor of Materials Science and Engineering at the University of Illinois at Urbana-Champaign , where he has been since 2019. His research focuses on magnetism , spin transport , magnetic heterostructures , and quantum materials . He has published extensively on topics including skyrmions , spin-orbit torques , and magnonics . Education: PhD in Physics (University of California-San Diego, 1999); Diplom in Physics (RWTH Aachen, 1994) Professional History: Postdoctoral Fellow (Los Alamos National Laboratory, 1999-2001); Staff Scientist to Senior Group Leader (Argonne National Laboratory, 2001-2019) His scientific awards include being a Highly Cited Researcher (2019-2023), Fellow of the American Physical Society, IEEE, and American Vacuum Society, and the David Adler Lectureship Award (2022). Notable research trends from his publications include advancements in antiferromagnetic spintronics , skyrmion dynamics , and hybrid magnonic systems . Editorial Roles: Associate Editor, Journal of Applied Physics (2009-present).

• Magnetism
• Spin Transport
• Magnetic Heterostructures
• +6 more

Michael Rubinstein is the Aleksandar S. Vesic Distinguished Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science at Duke University. He also holds professorships in Physics, Biomedical Engineering, and Chemistry. His research spans polymer theory, computer simulations, and the application of these principles to biological systems, particularly mucus biophysics. Dr. Rubinstein earned his Ph.D. from Harvard University in 1983. His educational background in polymer physics has formed the foundation for his extensive research career spanning several decades. Dr. Rubinstein's research focuses on developing simple physical models of soft matter and biological systems ranging from polymeric elastomers and gels to extracellular matrix and mucus in human lungs. His work encompasses several key areas: Mucus Research: Investigating airway surface layer properties and their relationship to respiratory diseases like cystic fibrosis Polymer Entanglements: Studying the dynamics of entangled polymers including ring-linear blends and bottle-brush polymers Reversible Networks: Developing theories for interpenetrating elastomers and gels with both permanent and reversible components Charged Polymers: Extending scaling theory to describe complexes of oppositely charged polymers Analysis of Dr. Rubinstein's recent publications (2023-2025) reveals a strong focus on advanced polymer systems with applications in biomedicine and materials science. His work bridges fundamental polymer physics with practical applications, particularly in understanding mucus biophysics for respiratory diseases and developing novel polymer networks with self-strengthening and adaptive properties. Key themes include chromatin organization, hydrogel mechanics, fracture behavior in polymer networks, and topological constraints in ring polymers. Dr. Rubinstein has received several notable awards including the Nelson W. Taylor Award from Penn State University (2022), a University Distinguished Professorship from Duke University (2020), and recognition from the Royal Society of Chemistry (2019). Dr. Rubinstein leads an active research group (the Rubinstein Lab) that extensively collaborates with experimental, computational, and theoretical groups at Duke and worldwide. His lab combines theoretical modeling, computer simulations, and experimental validation to advance understanding of soft matter systems. While specific grant information isn't detailed in the provided text, his numerous high-impact publications suggest substantial research funding supporting his work. The Rubinstein Lab focuses on several interconnected research thrusts including mucus biophysics, self-assembly of amphiphilic systems, reversible networks and gels, polymer entanglements, and charged polymer systems. The lab employs a multi-pronged approach combining theoretical modeling, computer simulations, and experimental collaborations to develop fundamental understanding of soft matter systems with applications to biomedical challenges.

• Polymer Theory
• Computer Simulations
• Polymer Entanglements
• +6 more

Jason Ostanek is an Assistant Professor at Purdue University's School of Engineering Technology and Environmental and Ecological Engineering. He directs the Applied Thermofluids Laboratory and Powertrain Technology Laboratory, focusing on battery safety and thermal management systems. Ph.D. in Mechanical Engineering from Penn State M.S. in Mechanical Engineering from Penn State B.S. in Mechanical Engineering from Virginia Tech His research explores energy storage systems, thermal runaway phenomena, heat transfer mechanisms in Li-ion batteries, fluid dynamics, and internal combustion engine thermal management. He has developed analytical models for battery degradation, thermal abuse simulations, and innovative cooling strategies for large-scale energy systems. Key publication trends show expertise in: Li-ion battery thermal runaway modeling Heat transfer in confined geometries Thermal management for energy storage systems Renewable energy forecasting Computational fluid dynamics applications Scientific awards include: 2020 Purdue Teaching Academy's Award for Exceptional Teaching and Instructional Support during the COVID-19 Pandemic 2020 SOET Outstanding Faculty in Engagement 2019 SOET Outstanding Faculty in Discovery 2015 NAVSEA Commander’s Award for Innovation 2013 ASME IGTI Young Engineer Travel Award 2007 DOD SMART Fellowship Recipient As director of Purdue's Applied Thermofluids Laboratory, he leads research on battery safety mechanisms, combustion dynamics, and thermal systems optimization. His work spans fundamental and applied research with industrial collaborators.

• Energy Storage
• Turbulence
• Heat Transfer
• +5 more

Namkyu Chun is a Lecturer at Aalto University's Department of Design, specializing in fashion and textile futures. With a focus on sustainability, interdisciplinary collaboration, and redefining design practices, Chun's work bridges fashion theory, material culture, and transformative futures. Their research explores the intersection of human/non-human relationships in design, climate-responsive practices, and ethical material engagement. Key research areas: Fashion Design, Sustainable Practices, Design Futures, Interdisciplinary Collaboration Awards: 2024 Ziman Award (CreaTures Project), 2017 Finnish-Danish Cultural Foundation Scholarship, 2017 Helsinki Urban Facts Grant, 2015 Subtle Visibility Award Recent publications examine topics such as '1.5 Degree Lifestyles,' 'Pluriverse' frameworks, and revival of dressmaking traditions. Chun collaborates with institutions like University of Sussex, RMIT, and Superflux, integrating artistic inquiry with systemic change. Their work appears in journals including Fashion Theory , The Design Journal , and Fashion Practice .

• Fashion Design
• Sustainable Fashion
• Interdisciplinary Collaboration
• +3 more

Dr. Kibret Mequanint is a full Professor at Western University's Department of Chemical and Biochemical Engineering, with cross-appointments in Biomedical Engineering. Holding a PhD from University of Stellenbosch and postdoctoral experience at Technical University of Darmstadt and McMaster University, his research bridges polymer science, materials engineering, and life sciences with applications in Biomaterials , Tissue Engineering , and Regenerative Medicine . His work spans both fundamental and translational research in cell-material interactions , polymer biomaterial design , and therapeutic radiation dosimeters , with technologies transferred to commercial applications. Leading scholar and educator with awards from NSERC, CIHR, and Western University Fellow of: American Institute for Medical and Biological Engineering (AIMBE), Ethiopian Academy of Sciences, International Union of Societies for Biomaterials Science and Engineering, Canadian Academy of Engineering Extensive editorial and panel service for NSERC, CIHR, and international journals His research program has produced over 170 refereed publications, focusing on conductive hydrogels , bioadhesives , and vascular tissue engineering . Recent work on endoscopy-deliverable bioadhesives and snake venom-derived hemostatic gels has attracted global media attention. He has served in leadership roles at the Canadian Biomaterials Society and university governance bodies including Senate and Board of Governors.

• Biomaterials
• Tissue Engineering
• Regenerative Medicine
• +6 more