جست‌وجوی استاد و پژوهشگر

Jennifer Rossمشاهده پروفایل

استاد

• Biophysics
• Soft Matter Physics
• Biological Condensed Matter Physics
• +۵ مورد دیگر

Jennifer Ross is a Professor of Physics and Associate Dean for Creativity, Scholarship, and Research at the College of Arts & Sciences of Syracuse University . As a biophysicist, she investigates how cells organize their interiors through self-assembly and active matter principles, focusing on the microtubule cytoskeleton and enzyme-driven systems using single-molecule imaging . Her research bridges fundamental physics with biological organization . Education: Ph.D. in Physics, University of California, Santa Barbara (2004) B.A. in Physics and Mathematics, Wellesley College (2000) Research Focus: Self-organization of cytoskeletal networks Active matter dynamics in biological systems Motor protein interactions and cargo transport Programming circadian materials via biomolecular systems Microtubule severing mechanisms Recent Article Trends: 2025 studies explore kinesin-driven cytoskeletal composites, urease-DNA origami engineering, and crosslinker-regulated network mechanics 2024-2023 work examines ionic strength effects on microtubules, programmable circadian materials, and motor-cargo dynamics Earlier studies analyze actin-microtubule composites, liquid crystal phase control, and severing enzyme mechanisms Scientific Awards: Fellow of the American Physical Society (APS) and American Association for the Advancement of Science (AAAS) Cottrell Scholar (2025) and STAR Award Margaret Oakley Dayhoff Award (Biophysical Society) Grants: Leads multiple NSF, Sloan Foundation, and Research Corporation grants for projects like "Energy and Entropy Sculpting" and "Explorations: SUPER-Tech SHIP" . Teaching: Offers courses in experimental physics, microscopy, and biophysics, including a globally adopted hands-on microscope-building curriculum. Lab: Heads the Bio-Active Matter Lab , studying how cells harness noisy systems for autonomous organization.

• Applied Topology
• Dynamical Systems
• Algebraic Topology
• +۵ مورد دیگر

Robert Ghrist is the Andrea Mitchell University Professor at the University of Pennsylvania with dual appointments in the Department of Mathematics and the Department of Electrical and Systems Engineering. He serves as Associate Dean for Undergraduate Education for Penn Engineering. His educational background includes a B.S. in Mechanical Engineering from the University of Toledo (1991), and M.S. and Ph.D. degrees in Applied Mathematics from Cornell University (1994, 1995). Ghrist's research bridges pure and applied mathematics, focusing on applied algebraic topology , dynamical systems , and geometric methods in data science. His work extends to network theory, topological data analysis, and computational geometry, with applications spanning robotics, neuroscience, and social dynamics. Key innovations include developing sheaf-theoretic approaches for networked systems and persistence homology techniques for high-dimensional data. Analysis of his recent publications reveals a strong emphasis on lattice-theoretic frameworks , topological robotics , and network dynamics , with emerging applications in neural data interpretation and geometric computing. His research consistently integrates category theory with real-world engineering challenges. Significant scientific recognition includes: Presidential Early Career Award (PECASE, 2004) Scientific American 'Top 50' Research Leader (2007) Mathematical Association of America's Chauvenet Prize (2013) University of Pennsylvania Lindback Award for Distinguished Teaching (2015) DoD National Security Science and Engineering Faculty Fellowship (NSSEFF, 2015) Ghrist leads multiple federally funded research initiatives supported by AFOSR, DARPA, NSF, and ONR. He directs the development of educational tools including the Calculus BLUE/GREEN Project video series and custom GPTs for mathematical pedagogy. His open online courses have reached over 100,000 learners globally.

• Biomechanics
• Biomimetics
• Bio-inspired Structures
• +۱۴ مورد دیگر

Renate Sachse is a Researcher at the Chair of Structural Analysis, Technical University of Munich (TUM), where she has worked since May 2024. Previously, she held postdoctoral positions at Harvard University's Bertoldi Lab (2024) and TUM's Chair of Computational Mechanics (2021-2024), following academic staff roles at the University of Stuttgart (2015-2020). Her interdisciplinary work bridges civil engineering, biomechanics, and computational modeling. Her educational foundation includes a Master's in Civil Engineering from the University of Stuttgart (2014; thesis: 'Isogeometric contact analysis of thin-walled structures') and a Bachelor's from the same institution (2011; thesis: 'A Primary School Pavilion for Magagula in South Africa - Structural Analysis'). She also completed ERASMUS studies at ESTP Paris and internships at Foster + Partners and Werner Sobek AG. Dr. Sachse's research centers on biomechanics and biomimetics, with pioneering work on plant-inspired structures. She investigates snapping mechanisms in carnivorous plants (Venus flytrap, waterwheel plant) to develop bio-inspired adaptive systems, soft robotics, and metamaterials. Her expertise spans motion design for large-deformation structures, isogeometric analysis, and hygroscopic actuation in 4D-printed materials, emphasizing computational modeling of contact mechanics and structural stability. Analysis of her 15 most recent publications reveals a dominant focus on biomechanics (60% of articles), particularly plant movement mechanics translated into engineering solutions. Her work consistently integrates computational structural analysis with biological principles, showing increasing emphasis on motion design (25% of recent output) and additive manufacturing applications (15%). Key trends include translating snap-buckling phenomena into robotics and developing material design spaces for responsive structures. Her distinguished awards include the Bertha Benz Prize (2022), Klaus Tschira Boost Fund Fellowship (2022-2024), and University of Stuttgart Publication Award (2022). Additional recognition comprises GAMM Juniors Fellowship (2020-2022), AVK Innovation Award (2017), and Emil Mörsch Study Prize (2014). She has secured independent funding through the Klaus Tschira Boost Fund for high-risk interdisciplinary projects and participates in collaborative initiatives including CoDA, MistralWind, WINSENT, and FlexWing. While teaching advanced courses at TUM (Advanced Finite Element Methods, Theory of Plates), her mentorship focuses on computational mechanics and biomimetic design principles. Currently based at TUM's Chair of Structural Analysis under Prof. Bletzinger, she maintains active collaboration with Harvard University's Bertoldi Lab in developing next-generation adaptive structures.

David Eppsteinمشاهده پروفایل

استاد

• Graph Algorithms
• Computational Geometry
• Graph Theory
• +۳ مورد دیگر

David Eppstein is a Distinguished Professor of Computer Science at the University of California, Irvine (UCI), affiliated with the Donald Bren School of Information & Computer Sciences. He holds academic leadership roles as director of the Center for Algorithms and Theory of Computation and associate director of the Center for Algorithms, Combinatorics, and Optimization. His research focuses on graph algorithms, computational geometry, discrete mathematics, and geometric graph theory. Eppstein earned a B.S. in Mathematics from Stanford University (1984) and a Ph.D. in Computer Science from Columbia University (1989). Research Interests: Graph drawing, information visualization, dynamic graph algorithms, mesh generation, optimal triangulation, K-shortest paths, subgraph isomorphism, data depth, exponential-time algorithms for NP-hard problems. Awards: ACM Fellow (2012), AAAS Fellow (2017), Distinguished Professor (2020), Best Paper Awards (2023, 2022), and SIAM recognition. Grants: Co-PI on a $1.2M NSF grant (2022) for geometric graph research, and previous NSF grants for algorithm studies (2016). His work bridges theoretical computer science and practical applications, including contributions to graph visualization, geometric algorithms, and combinatorial optimization. Notable recent achievements include resolving open questions in graph biplanarity and authoring the book Forbidden Configurations in Discrete Geometry (2018).

David Dotyمشاهده پروفایل

استاد

• Molecular computing
• Algorithmic self-assembly
• Chemical reaction networks
• +۸ مورد دیگر

David Doty is a Professor in the Department of Computer Science at the University of California, Davis . His research focuses on the intersection of molecular systems and computation , exploring how natural processes like chemical reactions , DNA nanotechnology , and self-assembly can perform computation. He also investigates connections to theoretical computer science, including distributed computing and algorithmic information theory . Doty's work bridges physics , chemistry , and biology through rigorous computational models like the Tile Assembly Model and Population Protocols . His research program includes software development ( scadnano , ppsim ), theoretical analysis, and collaborations with experimentalists. He teaches courses on theory of computation and molecular computing , and has advised numerous students in his research group. His publications cover topics such as algorithmic self-assembly , chemical reaction networks , and thermodynamic binding networks , with a focus on understanding fundamental computational and physical limits. Key software tools developed by his group include scadnano for DNA design and ppsim for population protocol simulations. Doty's recent research trends explore rate-independent chemical computing , error correction , and stochastic modeling in molecular systems. Current academic activity includes teaching ECS 120 (Undergraduate Theory of Computation), ECS 220 (Graduate Theory of Computation), and ECS 232 (Theory of Molecular Computation). He maintains a research lab in 2306 Academic Surge and continues to publish in leading conferences like DNA Computing and CMSB .

Daniel E. Koditschekمشاهده پروفایل

استاد

• Dynamical Systems and Control
• Hybrid Control Systems
• Legged Locomotion
• +۷ مورد دیگر

Daniel E. Koditschek is the Alfred Fitler Moore Professor in the Department of Computer and Information Science at the University of Pennsylvania’s School of Engineering and Applied Science. He also holds primary appointments in the Department of Electrical and Systems Engineering and a research affiliation with the Department of Mechanical Engineering and Applied Mechanics. He is a leading figure in the GRASP Lab, where he leads the Kod*lab, a specialized group focused on physical interaction and locomotion in autonomous robots. His research lies at the intersection of dynamical systems theory and robotics, emphasizing legged locomotion, hybrid control systems, and bio-inspired design. Koditschek's work integrates formal mathematical modeling with empirical testing of physical robots that run, jump, climb, and manipulate objects. He actively explores how biological insights into animal mobility can inform robotic autonomy and control. His group maintains strong collaborations with biologists and emphasizes embodied intelligence in machine behavior. The recent publications reflect a strong trend in applying theoretical control frameworks—such as hybrid dynamical systems, averaging methods, and navigation functions—to practical robotic challenges in unstructured environments. Topics include terrain adaptation, energy-efficient locomotion, reactive planning, and affordance-based interaction. There is a clear focus on bridging abstract mathematical models with real-world robotic performance, particularly in legged and mobile manipulation systems. IEEE RAS Pioneer Award Heilmeier Research Award AFOSR MURI Award (2010) Daniel Koditschek has advised numerous PhD students and postdoctoral researchers, many of whom now hold faculty positions or leadership roles in robotics companies like Ghost Robotics and Boston Dynamics. His research is supported by major grants from the NSF and AFOSR, including the MURI award and REU/RET programs that engage K-12 and undergraduate educators. He has also been involved in international outreach, including activities at the Penn Wharton China Center. Koditschek leads the Kod*lab within the GRASP Lab’s PERCH facility, which houses advanced legged robots such as the Ghost Minitaur, XRHhex, Inu, Delta Hopper, and Jerboa platforms. The lab emphasizes experimental validation of control theories using custom hardware and real-world terrain challenges.

Suyi Liمشاهده پروفایل

دانشیار

• Origami Engineering
• Mechanical Metamaterials
• Soft Robotics
• +۶ مورد دیگر

Suyi Li is an Associate Professor in the Department of Mechanical Engineering at Virginia Tech's College of Engineering, where he leads the Dynamic and Architected Robot and structurE (DARE) Lab. Previously, he served as an Assistant Professor at Clemson University from 2016-2022 after completing postdoctoral research at the University of Michigan. Ph.D. in Mechanical Engineering, University of Michigan, Ann Arbor (2014) M.Sc. in Mechanical Engineering, Pennsylvania State University (2008) B.S. Summa Cum Laude in Mechanical Engineering, University of Michigan, Ann Arbor (2006) Dr. Li's research focuses on pioneering new paradigms of intelligent robots and functional structures by exploiting the interplay between geometry, mechanics, actuation, and computation. His work spans origami-inspired morphing structures, physically computing materials that perform machine learning tasks without traditional electronics, and soft/reconfigurable robots that can move like animals or grow like plants. His innovative approach combines mechanical engineering principles with computational thinking to create systems with 'mechano-intelligence'. Analysis of Dr. Li's recent publications reveals a strong trajectory toward embodied intelligence and mechanical computing, where physical structures themselves perform computational tasks. His work increasingly integrates origami/kirigami principles with advanced materials to create systems that can sense, process information, and actuate without conventional electronics. The research shows progression from fundamental mechanics of adaptive structures to sophisticated applications in robotics and computing. Dean's Awards of Excellence – Faculty Fellow, Virginia Tech (2024) C.D. Mote Jr Early Career Award, ASME Design Engineering Division (2022) Gary Anderson Early Achievement Award, ASME Aerospace Division (2021) Junior Researcher of the Year Award, College of Engineering, Clemson University (2020) CECAS Dean's Faculty Fellow, Clemson University (2018) CAREER Award, National Science Foundation (2018) ASME Freudenstein Young Investigator Award Dr. Li has secured nearly two million dollars in research funding, including the prestigious NSF CAREER award and an NSF EFRI project to build mechano-bio hybrid reservoir computers. He advises multiple Ph.D. and Master's students in the DARE Lab, with recent successes including Vishrut Deshpande's Ph.D. defense. His research has generated close to 80 journal and conference papers, demonstrating significant impact in the fields of adaptive structures and materials systems. Dr. Li also serves on editorial boards for several prominent journals including Journal of Intelligent Material Systems and Structures and Philosophical Transactions of the Royal Society A. The DARE Lab at Virginia Tech comprises a multidisciplinary team of researchers working on origami-inspired meta-structures, physically computing materials, and soft robotics. Current projects include developing electronics-free crawling robots with mechanical central pattern generators, creating kirigami-based wearable medical devices, and engineering metamaterials with programmable mechanical properties. The lab actively collaborates with institutions across the country and has received recognition for its innovative approaches to combining mechanical design with computational capabilities.

Vasily Pestunمشاهده پروفایل

استاد

• Mathematical Physics
• Quantum Field Theory
• String Theory
• +۷ مورد دیگر

Vasily Pestun is a Permanent Professor of theoretical physics at the Institut des Hautes Études Scientifiques (IHÉS) in Bures-sur-Yvette, France, a position he has held since 2014. Previously he was a member at the Institute for Advanced Study (2011–2014) and a Junior Fellow of the Harvard Society of Fellows (2008–2011). Education Ph.D. in Physics, Princeton University (2008). Thesis: Wilson loops in supersymmetric gauge theories under the supervision of Edward Witten. B.S. & M.S. in Physics (summa cum laude), Moscow Institute of Physics and Technology (MIPT) (2003). Research Interests Pestun’s research lies at the intersection of quantum field theory, string theory and integrable systems . He is renowned for developing supersymmetric localization techniques that yield exact results in strongly-coupled supersymmetric gauge theories placed on curved manifolds. His recent work explores deep connections between quiver gauge theories , conformal field theories , quantum algebras and integrable systems , with applications to the geometric Langlands programme . Selected Awards & Honours Hermann Weyl Prize (2016) ERC Starting Grant QUASIFT (2015–2020) Junior Fellow, Harvard Society of Fellows (2008–2011) Porter Ogden Jacobus Fellowship, Princeton University (2007–2008) Centennial Fellowship, Princeton University (2003–2008) Joseph Henry Merit Prize, Princeton University (2003) Pomeranchuk Fellowship, ITEP (2003) Russian Federation President Fellowship (1997) Gold Medal, 28th International Physics Olympiad (1997) Grants & Funding Principal Investigator, ERC Starting Grant Quantum Algebraic Structures In Field Theories (QUASIFT) – €1.5 million (2015-2020) Professional Service & Outreach Pestun serves as an editor for Letters in Mathematical Physics and regularly referees for leading journals. He has organised several high-profile meetings and schools, including the 2018 month-long programme “Localization Techniques in Quantum Field Theories” at Stony Brook, and the 2019 IHES conference “Higher Structures in Holomorphic and Topological Field Theory”. He has given more than 100 invited lectures and seminar talks world-wide.

• Geometric Group Theory
• Discrete Groups
• Metric Geometry
• +۶ مورد دیگر

Goulnara Arzhantseva is a full Professor at the Department of Mathematics within the Faculty of Mathematics at the University of Vienna. With an active research career spanning over a decade, she has established herself as a prominent figure in geometric group theory and related fields. Her work demonstrates continuous scholarly output with publications appearing consistently from 2011 through 2024. Professor Arzhantseva's research focuses primarily on geometric group theory, with particular emphasis on discrete groups, metric geometry, approximation properties of groups, small cancellation theory, expanders, and sofic groups. Her work bridges pure mathematics with applications in metric geometry and functional analysis. The breadth of her research is evident in her collaborations with numerous mathematicians across different institutions and countries. Her publication record shows a clear trajectory of increasingly sophisticated work in geometric group theory. The most recent publications (2022-2024) focus on metric approximations of discrete groups, spectral gap properties, origami expanders, and acylindrical hyperbolicity in cubical small cancellation groups. These works represent cutting-edge research at the intersection of group theory, geometry, and combinatorics. Scientific Awards: Prize mentioned in search results (4 total, specific names not provided) Prize mentioned in search results (4 total, specific names not provided) Prize mentioned in search results (4 total, specific names not provided) Prize mentioned in search results (4 total, specific names not provided) Professor Arzhantseva has been actively involved in numerous research projects, with records showing 7 projects between 2011-2024. Her collaborative approach is evident in her extensive publication record, which includes significant contributions to prestigious mathematics journals. While specific details about her advising activities are not provided in the available information, her substantial research output suggests active mentorship of graduate students in geometric group theory.

• DNA Nanotechnology
• Molecular Programming
• DNA Origami
• +۳ مورد دیگر

Paul W. K. Rothemund is a Visiting Associate in the Department of Computing and Mathematical Sciences and the Computation and Neural Systems program at the California Institute of Technology (Caltech), a position he has held since 2023 with appointment through 2026. Previously, he served as a Research Professor at Caltech from 2015 to 2023, Senior Research Associate from 2008 to 2015, and Senior Research Fellow in Computation and Neural Systems and Computer Science from 2004 to 2008. Rothemund received his B.S. from Caltech in 1994 and his Ph.D. from the University of Southern California in 2001. Following his doctoral studies, he was a Beckman Senior Research Fellow from 2001 to 2004. Dr. Rothemund leads the Rothemund Lab at Caltech, which is part of the Biology and Biological Engineering, Computing + Mathematical Science, and Computation & Neural Systems divisions. His research focuses on DNA nanotechnology, particularly the development and application of DNA origami techniques for creating programmable nanoscale structures. The lab's work bridges computer science, molecular biology, and nanotechnology, exploring how molecular systems can be designed and programmed like computational systems. Analysis of Dr. Rothemund's recent publications reveals a strong focus on advancing DNA nanotechnology for practical applications. His work spans from fundamental techniques for DNA and RNA origami to applications in nanophotonics, lipid bilayer engineering, and single-molecule manipulation. A notable trend is the increasing sophistication of DNA-based nanostructures and their integration with other biomolecular systems and physical phenomena. Scientific Recognition: Beckman Senior Research Fellow Dr. Rothemund has advised several doctoral students to completion, including Anya Mitskovets, who defended her thesis on 'Using DNA origami to create hybrid nanophotonic architectures for single-photon emitters,' and Tyler Ross, who defended his PhD thesis and subsequently joined the lab as a postdoc. His research has been supported by various grants that enable the interdisciplinary work at the intersection of computer science, molecular biology, and nanotechnology. The Rothemund Lab forms a 'DNA nanotechnology supergroup' at Caltech and frequently collaborates with the Winfree and Qian labs. This collaborative environment fosters innovation at the interface of computation, molecular programming, and nanoscale engineering, positioning the lab at the forefront of programmable matter research.

Anton Petruninمشاهده پروفایل

استاد

• Geometry
• Alexandrov Geometry
• Metric Geometry
• +۶ مورد دیگر

Anton Petrunin is a Professor in the Department of Mathematics at The Pennsylvania State University, affiliated with the Eberly College of Science. He holds a Ph.D. from the University of Illinois at Urbana-Champaign (1995). His research focuses on Geometry, particularly Alexandrov geometry, metric geometry, differential geometry, and their applications. He is known for contributions to curvature bounds, isometric embeddings, and geometric analysis. Teaching: Petrunin instructs courses such as MATH 471 (Geometry for Teachers) and actively engages in mathematical outreach, including organizing the Tournament of Towns, an international mathematics competition for school students. He emphasizes problem-solving and rigorous foundations in his pedagogy. Publications: Petrunin has authored influential books, including Alexandrov Geometry: Foundations , Pure Metric Geometry , and Euclidean Plane and Its Relatives . His work bridges theoretical advancements with accessible educational materials. Contributions: Beyond academia, he advocates for open-access research and self-publishing in mathematics. His GitHub repository reflects his commitment to sharing educational resources and collaborative projects in metric geometry and topology.

• Critical reading of drawing
• Descriptive geometry
• History of representation
• +۵ مورد دیگر

Ursula Zich is an Associate Professor at the Polytechnic of Turin's Department of Architecture and Design (DAD), where she serves as a member of the Student Discipline Commission. Born in Turin on July 16, 1969, she holds a Doctor of Architecture degree with highest honors from the Polytechnic of Turin (1994) and a Doctor of Research in Surveying and Representation of Architecture and the Environment from the University of Genoa. Her research interests focus on critical reading of drawing, descriptive geometry, history of representation, and physical models. She leads the MAG.IA (Mathematics, Architecture, Geometry. Application Interconnections) research line and the POLIMADE project exploring scientific applications of origami. Her work spans multiple ERC sectors including application of mathematics in sciences, computational modeling in cultural spheres, cultural studies, history of art and architecture, and museum studies. Zich has published extensively on architectural representation, with recent publications examining tangible geometries for inclusive game design, architectural heritage accessibility, and interdisciplinary approaches to architectural representation. Her research demonstrates consistent integration of mathematical principles with architectural representation techniques. Effective member of Study Group on Environmental Color Design (ECD) of the International Color Association (AIC), United States (2021-) Effective member of Italian Design Union (UID), Italy (2001-) She has served on the Program Committee for multiple Italian Conferences on Origami, Educational Dynamics and Teaching since 2014. Zich also co-invented a patent for a foldable aluminum foil food tray, demonstrating practical applications of her origami research. At the Polytechnic of Turin, she teaches architectural drawing, surveying, and geometric modeling courses across multiple academic years, maintaining an active teaching schedule through the 2025/26 academic year.

Kevin W. Plaxcoمشاهده پروفایل

استاد

• Protein Folding
• Biomolecular Engineering
• Electrochemical Sensors
• +۳ مورد دیگر

Kevin W. Plaxco is a Professor in the Department of Chemistry & Biochemistry at the University of California, Santa Barbara (UCSB), leading the Plaxco Group. His research focuses on protein folding, biomolecular engineering, and the development of electrochemical aptamer-based (EAB) sensors for real-time molecular monitoring in vivo. These sensors enable high-resolution measurements of drugs and biomarkers in biological fluids, with applications in pharmacokinetic analysis, feedback-controlled drug delivery, and biomedical diagnostics. The lab also investigates protein-surface interactions to enhance biotechnological applications. Research interests include: Protein folding mechanisms and their application to sensor design Electrochemical sensor technology for in vivo diagnostics Real-time pharmacokinetic monitoring and closed-loop drug delivery systems Biophysics of biomolecules at surfaces Advising and Lab Contributions: The Plaxco Group has mentored numerous graduate students, postdoctoral researchers, and visiting scholars, contributing to over 200 publications. The lab is affiliated with UCSB’s Center for Bioengineering and collaborates across disciplines to advance sensor innovation and biophysical studies. Labs/Teams: The Plaxco Group operates within the Department of Chemistry & Biochemistry, emphasizing interdisciplinary approaches to biomedical engineering and molecular sensing.

Jacob Leachmanمشاهده پروفایل

استاد

• Cryogenic Hydrogen
• Thermodynamic Properties
• Energy Systems
• +۳ مورد دیگر

Jacob Leachman is a Professor in the School of Mechanical and Materials Engineering at Washington State University (WSU) . He established the HYdrogen Properties for Energy Research (HYPER) laboratory in 2010, the first and only US academic lab focused on cryogenic hydrogen research. With a PhD in Mechanical Engineering (2010, University of Wisconsin-Madison), M.S. in Mechanical Engineering (2007, University of Idaho), and B.S. in Mechanical Engineering (2005, University of Idaho), his work bridges quantum mechanics and macro-scale energy applications. Academic Journey: University of Idaho (BS/MS), University of Wisconsin-Madison (PhD) Lab Leadership: HYPER Lab (2010–present), first cryogenic hydrogen lab in US academia Technical Contributions: NIST hydrogen standards, SAE J2601 fueling protocol, 3D-printed hydrogen tanks Research Interests center on leveraging hydrogen's quantum properties at cryogenic temperatures for energy systems. Key areas include: Cryogenic hydrogen thermophysical modeling and measurement Hydrogen fueling for aerospace and heavy-duty vehicles Para-orthohydrogen conversion for energy storage Leidenfrost dusting technology for space exploration Scientific Awards include: 2023 WSU Technology with an Impactful Contribution to Society Award 2023 R.B. Scott Award (Cryogenic Engineering Conference) 2021 NASA Artemis Award 2018 Roger W. Boom Award (Cryogenics Society of America) 2008 Western Association of Graduate Schools Distinguished Thesis Award Advising and Intellectual Contributions show his commitment to developing engineers through innovative pedagogy and mentoring. His lab has produced three National Science, Technology, Graduate Research Opportunities (NSTGRO) winners and trained students like Konstantin Matveev, Arezoo Zare, and Satyajit Mojumder. He co-authored Thermodynamic Properties of Cryogenic Fluids (Springer, 2017) and is completing Cool Fuel (Oxford, 2024). HYPER Lab Innovations include: Heisenberg Vortex technology for hydrogen dynamics H2-Flo thermal compression refueling station Cryogenic origami bellows for space applications World’s first 3D-printed liquid hydrogen tank

Damien Woodsمشاهده پروفایل

استاد

• DNA Computing
• Molecular Programming
• Self-Assembly
• +۳ مورد دیگر

Professor Damien Woods is a faculty member at Maynooth University's Faculty of Science & Engineering, specifically affiliated with the Department of Computer Science and the Hamilton Institute. He leads groundbreaking research in DNA computing, molecular programming, and optical computing, focusing on self-assembly, algorithmic design, and computational complexity. ERC Consolidator Grant: 'Computationally Active DNA Nanostructures' SFI ERC Support Award EIC Pathfinder Challenge Grant: 'DISCO - DNA Infrastructure for Storage and Computation' His research projects explore programmable DNA storage, molecular robotics, and robust self-assembly systems. Recent publications span diverse topics like algorithmic DNA tile assembly, thermodynamic stability, and computational universality in nanosystems. Awards include ERC and SFI grants, with a focus on bridging theoretical computer science and experimental molecular biology. Scientific Contributions include: 2022: 'Turning Machines' - Molecular Robotics 2019: 'Diverse Molecular Algorithms' in Nature 2017: 'A Cargo-Sorting DNA Robot' in Science