Dr Andrew Rhead is a Senior Lecturer in the Department of Mechanical Engineering at the University of Bath, specializing in aerospace composites and damage tolerance analysis. His research focuses on impact damage detection, failure mechanism modeling, and Non-Destructive Evaluation (NDE) techniques for composite structures. MSci in Mathematical Sciences (Dynamical Systems) - University of Bristol (2006) PhD in Composite Damage Tolerance - University of Bath (2009) His work develops computationally efficient analytical models for compression after impact (CAI) strength prediction in composite laminates, surpassing traditional finite element methods. Key projects include hydrogen storage systems for aircraft, cryogenic composite testing, and steered fiber manufacturing optimization. Active in 10 projects including ASPIRE and HyFIVE Collaborates with Airbus, GKN Aerospace, and EPSRC Research trends show emphasis on sustainable aviation materials, structural battery integration, and advanced testing methodologies. Current affiliations include the Institute for Mathematical Innovation (IMI) and Centre for Integrated Materials, Processes & Structures (IMPS).
Anthony Rollett is a Professor in the Department of Materials Science and Engineering at Carnegie Mellon University , where he has been a faculty member since 1995. He serves as the Principal Investigator and Co-Director of the NASA-supported Institute for Model-Based Qualification & Certification of Additive Manufacturing (IMQCAM) and co-director of the Next Manufacturing Center . Prior to CMU, he held leadership roles at Los Alamos National Laboratory (1991-1995). Education: Ph.D., Materials Engineering, Drexel University (1987) MA, Metallurgy and Materials Science, Cambridge University (1977) Research Interests: Rollett’s work focuses on microstructural evolution and microstructure-property relationships in 3D using experiments and simulations. His expertise spans additive manufacturing , metal 3D printing , materials for energy systems , grain growth , recrystallization , and stereology , with techniques like high-energy diffraction microscopy (HEDM) and dynamic x-ray radiography (DXR) . Scientific Contributions: He has over 320 peer-reviewed publications and an h-index >80 . His recent articles highlight machine learning for laser processing , fatigue analysis of additively manufactured alloys, and design optimization for heat exchangers in supercritical CO2 and solar thermal applications . Scientific Awards: Fellow of ASM International (1996) Fellow of the Institute of Physics (UK) (2004) Fellow of The Minerals, Metals & Materials Society (TMS) (2011) Cyril Stanley Smith Award (TMS, 2014) Member of Honor, French Metallurgical Society (2015) US Steel Professor (2017) Francqui International Professor (2020-2021) International FAME Award (2023) Leadership & Impact: Rollett co-led the development of a NASA Space Technology Research Institute for additive manufacturing and established a new master’s program in additive manufacturing (2018). His research group is funded by industry , federal agencies , and Pennsylvania state grants . He also serves on the Basic Energy Science Advisory Committee and Defense Programs Advisory Committee for the Department of Energy.
Dr. Ling Yin is an Associate Professor in the School of Electrical and Mechanical Engineering at the University of Adelaide, Faculty of Sciences, Engineering and Technology. She joined the University of Adelaide in 2018 as an Associate Professor in manufacturing and served as Faculty Research Theme Leader in Advanced Manufacturing from 2019 to 2022. Dr. Yin leads multi-institutional projects on advanced manufacturing funded by Defence SA (2024-2025) and the National Health and Medical Research Council (NHMRC) (2025-2028). Dr. Yin's educational background includes B.Sc., M.Sc., and Ph.D. degrees in mechanical engineering from Huazhong University of Science & Technology in Wuhan, China. Her academic career spans five countries across three continents, including positions at Tianjin University in China, Kumamoto University in Japan, Kansas State University in the USA, the Australian National University and James Cook University in Australia, the National Institute of Standards & Technology (NIST) in the USA, and A*STAR Singapore Institute of Manufacturing Technology (SIMTech) in Singapore. Dr. Yin's research focuses on manufacturing and mechanical characterization of advanced materials with applications in optics, semiconductors, mechanical structures, dental restorations, osteoporosis/osteoarthritis studies, and marine/animal sciences. Her work involves extensive collaborations across multiple disciplines. Her recent publications demonstrate expertise in ultrasonic vibration-assisted machining of dental ceramics, particularly zirconia and lithium silicate glass-ceramics, as well as advanced characterization techniques like micro-CT and in-situ SEM testing for understanding material behavior at micro and nano scales. JSPS Invitation Fellowship from the Japan Society for the Promotion of Science Japanese Government Scholarship from the Ministry of Education, Culture, Sports, Science and Technology, Japan Supervisor for a PhD Thesis cum laude with a Medal of Excellence awarded by James Cook University in 2017 Supervisor for a Best Honours Project in Mechanical Engineering at Ingenuity awarded by the University of Adelaide in 2023 Dr. Yin is actively involved in supervising higher degree research students and has available PhD projects in 2025 focused on ultrasonic-vibration assisted manufacturing techniques for dental applications. She has successfully led international academic delegations through the New Colombo Plan to manufacturing facilities in Singapore and Japan. Dr. Yin is a senior member of the North American Manufacturing Research Institution (NAMRI) and the Society of Manufacturing Engineers (SME), and also a member of several professional organizations including ASME, OSA, American Ceramic Society, ASM International, and SPIE.
Christopher D.P. Baxter is a Professor and Department Chair of Civil and Environmental Engineering at the College of Engineering, University of Rhode Island , with expertise in geotechnical engineering, offshore wind energy, and coastal resilience. He holds a Ph.D. in Civil Engineering from Virginia Tech (1999), an M.S. from Purdue University (1994), and a B.S. from Tufts University (1990). Research Focus: Geotechnical characterization of marine sediments, liquefaction resistance analysis, fiber-optic sensing for infrastructure monitoring, and coastal protection systems. Recent Publications: 15+ articles (2011–2025) covering topics like shear wave velocity, offshore wind foundation dynamics, and tsunami hazard modeling. Grants: Led projects on offshore wind monitoring (2019–2024) and fiber-optic seismic sensing (2021–2023). Key Collaborations: Work with teams on submarine landslide analysis, coastal dune reinforcement, and Rhode Island infrastructure resilience. His work bridges experimental geomechanics with practical coastal engineering solutions.
Dr. Wenwu Xu is an Associate Professor in the Department of Mechanical Engineering at San Diego State University (SDSU), affiliated with the College of Engineering. His research focuses on advanced materials science, nanotechnology, and computational modeling of material behavior. He specializes in investigating dislocation dynamics, electric field effects on materials, and the development of novel processing techniques for metallic and ceramic composites. His work spans topics such as hydrogen embrittlement, nanocrystalline material properties, and 3D printing of bioinspired structures. He employs molecular dynamics simulations, atomistic modeling, and experimental validation to study material deformation, sintering mechanisms, and phase stability. Xu’s contributions include pioneering quasi-instantaneous materials processing via high-intensity electrical nano-pulsing and designing recyclable piezoelectric composites for wearable sensors. His research has been published in over 40 peer-reviewed articles since 2007, reflecting a sustained focus on nanoscale material behavior, thermodynamic stability, and industrial applications. While no awards are explicitly listed, his extensive publication record underscores his expertise in materials engineering and computational methods. Dr. Xu’s lab (via mmm.sdsu.edu ) likely explores cutting-edge materials processing and characterization techniques, though specific grants or advising roles are not detailed in the provided text.
Jack Beuth is a Professor of Mechanical Engineering at Carnegie Mellon University (CMU), affiliated with the College of Engineering. He has been on the faculty since 1992 and leads the NextManufacturing Center, focusing on additive manufacturing (AM) research. His work emphasizes process mapping for AM, material science, and machine learning integration in manufacturing processes. Key affiliations include the Engineering Research Accelerator and the Manufacturing Futures Institute. Education: Ph.D. in Engineering Sciences, Harvard University (1992) M.S. in Engineering Sciences, Harvard University (1989) M.S. in Engineering Science and Mechanics, Virginia Tech (1987) B.S. in Engineering Science and Mechanics, Virginia Tech (1984) Research Interests: Additive Manufacturing (process modeling, material characterization, and defect analysis) Melt pool dynamics and thermal modeling Machine learning for process optimization and quality control Advanced materials for AM (e.g., Ti-6Al-4V, Inconel 718) His research has led to innovations like 'process map' approaches for AM, enabling better control over variables such as melt pool geometry and microstructure. Awards and Recognition: Ralph R. Teetor Educational Award (1998) George Tallman and Florence Barrett Ladd Development Professorship (2000) ASME Curriculum Innovation Award (2005) Benjamin Richard Teare Teaching Award (2009) Grants and Collaborations: $3.5M cooperative agreement with the U.S. Army Combat Capabilities Development Command’s Army Research Laboratory (ARL) for AI-driven AM process optimization. Collaborations with Westinghouse Electric Company on 3D-printed nuclear components, such as spacer grids for pressurized water reactors. Labs and Teams: NextManufacturing Center: A research hub for AM innovation, emphasizing industrial partnerships and applied research. Beuth’s Additive Lab: Specializes in melt pool analysis, process mapping, and material behavior under AM conditions.
Nedim Pervan is a Full Professor at the Faculty of Mechanical Engineering, University of Sarajevo, Bosnia and Herzegovina. His academic position focuses on mechanical engineering with emphasis on product design, structural analysis, and biomechanical applications. He maintains an active research profile with numerous publications and collaborations across various engineering disciplines, with office hours every workday from 09:00 to 10:00 in room 314. Professor Pervan's research interests span multiple domains of mechanical engineering. He has made significant contributions to additive manufacturing, particularly in polymer gear production and analysis. His work explores mechanical properties, failure mechanisms, and service life of polymer gears manufactured through additive processes. Additionally, he has conducted extensive research on external fixation devices used in orthopedic treatments, analyzing their biomechanical characteristics and structural stability under various loading conditions. His expertise extends to finite element analysis, structural optimization, and the application of 3D scanning technologies within Industry 4.0 contexts. His research demonstrates a strong connection between theoretical engineering principles and practical applications across automotive, medical devices, and manufacturing industries. His recent publication record reveals a strong trend toward interdisciplinary research bridging mechanical engineering with biomedical applications and advanced manufacturing technologies. A significant portion of his work focuses on polymer gears and additive manufacturing, examining material properties and performance characteristics. Another substantial research stream involves biomechanical engineering, particularly the analysis of external fixation devices. His publications demonstrate a methodological approach combining experimental testing with finite element analysis. More recently, his research has expanded into 3D scanning applications in manufacturing and the electrification of transportation systems in Bosnia and Herzegovina. Professor Pervan has been involved in numerous research projects that have advanced the capabilities of the Faculty of Mechanical Engineering. These include the "Integrated Intelligent CAD System for Interactive Design, Analysis and Prototyping of Compression and Torsion Springs" (2022), "Opremanje Laboratorije za razvoj i dizajn proizvoda" (2020), and "Modernizacija Laboratorije za ispitivanje mašinskih konstrukcija" (2019-2020). These projects have focused on developing advanced laboratory facilities, intelligent CAD systems, and equipment for mechanical design and analysis, with several specifically targeting 3D scanning technology implementation. His collaborative work extends across multiple research teams within the Department of Mechanical Constructions at the University of Sarajevo. He frequently collaborates with researchers including Adis Muminović, Elmedin Mešić, and Muamer Delić on projects related to additive manufacturing, biomechanical engineering, and structural analysis. His research group appears actively involved in both theoretical and applied engineering research with practical industrial and medical applications, contributing significantly to Bosnia and Herzegovina's engineering research landscape.
Mike Kirby is a Professor at the Kahlert School of Computing, University of Utah. He also holds adjunct professorships in the Department of Bioengineering and the Department of Mathematics. His current roles include leadership in scientific computing and informatics initiatives, including former directorships of the Utah Informatics Initiative (2019-2023) and the Multi-Scale Multidisciplinary Modeling of Electronic Materials (MSME) Collaborative Research Alliance (2016-2022). He has extensive experience in strategic research initiatives, including serving as Assistant Vice President for Research (2024-2025). Education: Dr. Kirby earned a PhD in Applied Mathematics (2002) and MS in Computer Science (2001) from Brown University, and a BS in Applied Mathematics and Computer Science from Florida State University (1997). Research Interests: Focus on large-scale scientific computing, physics-informed machine learning, computational science and engineering, high-order numerical methods, and visualization. His work bridges applied mathematics and computer science to address real-world engineering challenges. Publications: Over 150 peer-reviewed articles, including high-impact contributions in journals like Journal of Computational Physics and SIAM Journal on Scientific Computing . Recent work emphasizes machine learning for differential equations, topology optimization under uncertainty, and multi-fidelity modeling. Awards: Recognized for leadership in computational science and informatics, including contributions to University of Utah’s Clery Compliance Program. Advising & Grants: Supervised over 50 graduate students and postdocs. Secured funding from NSF, DOE, and industry partnerships, totaling millions in research grants. Active in interdisciplinary collaborations across engineering, materials science, and medicine. Labs/Teams: Scientific Computing and Imaging (SCI) Institute, Utah Informatics Initiative, and the Center for Multiscale Modeling of Electronic Materials (MSME).
Mohammad Modarres is the Nicole J. Kim Eminent Professor at the University of Maryland within the A.J. Clark School of Engineering. He serves as Director of the Center for Risk and Reliability (CRR) and is a Professor of Nuclear Engineering in the Department of Mechanical Engineering. Dr. Modarres co-founded the world's first degree-granting graduate curriculum in reliability engineering at the University of Maryland and has established himself as an international expert in reliability and risk analysis. Dr. Modarres received his educational credentials from prestigious institutions: B.S. in Mechanical Engineering from Tehran Polytechnic M.S. in Mechanical Engineering from MIT M.S. and Ph.D. in Nuclear Engineering from MIT Dr. Modarres' research spans multiple critical areas in engineering risk and reliability. His primary interests include probabilistic risk assessment, uncertainty analysis, probabilistic physics of failure, and probabilistic fracture mechanics. His work encompasses both experimental investigations and sophisticated probabilistic model development. He has made significant contributions to materials degradation science, prognosis and health management systems, and nuclear safety analysis. His research bridges theoretical developments with practical applications in complex engineering systems, particularly in nuclear power and aerospace sectors. Analysis of Dr. Modarres' recent publications reveals a strong trend toward integrating advanced data science techniques with traditional reliability engineering. His work increasingly incorporates machine learning, deep learning, and entropy-based approaches to solve complex problems in prognostics and health management. There's a clear focus on multi-unit systems, particularly in nuclear power applications, and a growing emphasis on data-driven methodologies for remaining useful life estimation and failure prediction. His research maintains a strong foundation in probabilistic methods while embracing cutting-edge computational approaches. Dr. Modarres has received numerous prestigious honors and awards throughout his distinguished career: Nicole Y. Kim Eminent Professorship in Engineering Minta Martin Professorship in A.J. Clark School of Engineering University of Maryland Distinguished Scholar-Teacher (2019) Tommy Thompson Award for outstanding lifetime contributions to nuclear safety (American Nuclear Society) Fellow, American Nuclear Society Fellow, Institute of Electrical and Electronics Engineers (IEEE) Life Fellow of IEEE 1996 Maryland Inventor of the Year Award (in Information Sciences) FDA Commissioner Special Citation for Contributions to Risk Assessment Methods (2004) 2008 International Research Leadership Award (Society for Reliability Engineering, Quality and Operations Management) Honorary Doctorate from Universidad Da Vinci de Guatemala As the founding director of the Center for Risk and Reliability, Dr. Modarres has built a world-renowned program that has awarded over 500 Ph.D. and master's degrees. His research has been supported by significant grants from government agencies and industry partners, particularly in nuclear safety, aerospace reliability, and critical infrastructure protection. He has mentored numerous students who have gone on to become leaders in reliability engineering across various industries. His center collaborates extensively with the International Atomic Energy Agency (IAEA) and other international organizations on risk assessment methodologies. The Center for Risk and Reliability (CRR), which Dr. Modarres directs, serves as a hub for multidisciplinary research in risk and reliability engineering. The center has recently renovated its facilities to enhance collaboration among researchers from different engineering disciplines. CRR maintains strong partnerships with industry leaders including Amazon Lab126 (as evidenced by their collaboration on device durability research) and has been instrumental in advancing probabilistic risk assessment tools used in nuclear power plant safety analysis. The center hosts regular seminars, workshops, and international conferences, positioning itself at the forefront of risk and reliability research globally.
Dr. Athanasios Toumpis is a Senior Lecturer in Mechanical and Aerospace Engineering at the University of Strathclyde, UK. He holds a Master of Science from the University of Glasgow (2012) and a Master of Engineering from the National Technical University of Athens (2003). His research focuses on friction stir welding (FSW), steel metallurgy, and fatigue analysis of structural materials. Key areas include defect analysis in FSW joints, thermal-mechanical behavior of materials, and gigacycle fatigue testing of welded steels. He has led multiple research projects funded by organizations like the Royal Society and Weir Group, including the development of novel FSW technologies for nuclear applications and investigations into steel joint performance under extreme conditions. Dr. Toumpis has authored over 50 publications, with recent work emphasizing very high-cycle fatigue behavior and additive manufacturing processes. He actively participates in international conferences and serves as a principal investigator on various collaborative projects. His teaching includes courses on applied metallurgy, biomaterials, and materials selection. Research Interests: Friction stir welding of low-alloy and stainless steels Fatigue analysis of welded joints, including gigacycle testing Thermal-mechanical analysis of additive manufactured materials Metallurgical characterization of dissimilar material joints Environmental impact assessment of manufacturing processes Professional Activities & Awards: Recipient of the Global Engagement Fund (2024) Organized the First Joint International Conference on Advances in Mechanical and Aerospace Engineering (2023) Participant in the International Institute of Welding Assembly (2024) and Very High Cycle Fatigue Conference (2024) Hosted visiting researchers and collaborated with institutions like Graz University of Technology Grants & Projects (Recent): Development of a novel friction stir additive manufacturing technology (Royal Society, 2025–2026) Investigation of friction stir welded steel joints for giga-cycle applications (Weir Group, 2025–2027) ESCO buckets weld performance investigation (University of Strathclyde, 2024–2027)
Dorina Siebert is a Researcher at the Chair of Metal Construction within the School of Engineering at the Technical University of Munich. She has been working as a research assistant at the Chair since 2019, contributing to various research projects related to steel and aluminum construction, fracture mechanics, and additive manufacturing in construction. Education: M.Sc. in Civil Engineering from Technical University of Munich (2012-2019) Affiliation: Chair of Metal Construction, School of Engineering, Technical University of Munich Contact: dorina.siebert@tum.de, Room 0101.Z1.038, +49 (89) 289-22527 Dorina's research primarily focuses on the fatigue strength of aluminum structures, fracture mechanics in railway bridges, and the application of additive manufacturing techniques in construction. Her work on powder bed-based laser beam melting of metal has significant implications for modern construction methods. She also investigates safe operating time intervals for historic steel bridges and has contributed to the development of a mobile vehicle barrier, demonstrating the practical applications of her theoretical work. Her publication record shows a strong trend toward computational and experimental analysis of material behavior under stress, particularly in aluminum alloys and steel structures. She has published extensively on fatigue properties, fracture mechanics calculations, and additive manufacturing applications, with a clear progression toward more complex modeling techniques and practical engineering solutions. Her work bridges theoretical computational models with real-world infrastructure challenges. Dorina teaches courses including 'Constructing with aluminum' for the Summer semester 2025 and 'Fracture mechanics and fatigue' for the Winter semester 2024/25. She also leads a seminar on plate buckling and steel bridge construction, sharing her specialized knowledge with engineering students. Her teaching directly reflects her research expertise, creating a strong connection between theoretical knowledge and practical application for her students.
Hongtao Zhu is an Associate Professor at the University of Wollongong (UOW), Australia, affiliated with the School of Mechanical, Materials, Mechatronic and Biomedical Engineering. He holds a PhD from Northeastern University (China) and has held academic positions at UOW since 2002, progressing from Research Fellow (2002–2013) to Senior Lecturer/Lecturer (2013–2022) before becoming an Associate Professor in 2022. His research focuses on Contact Mechanics , Tribology , Advanced Manufacturing , and Computational Material Science . Notable contributions include studies on rail-wheel contact systems, high-entropy alloys, and friction reduction in manufacturing processes. He has authored/co-authored over 230 publications with an H-index of 38 (Scopus) and secured $2.2M in industry grants. Zhu leads the 'Wheel and Rail Contact System' research group, collaborating with major railway industries. He has supervised 22 PhD students (6 as principal supervisor) and currently oversees 5 PhD candidates. His professional roles include editorial board memberships for journals like Advances in Materials Science and Engineering and service as an assessor for funding bodies in Australia, Chile, Poland, and the Czech Republic. Key achievements include securing 5 ARC Discovery Projects, 3 ARC Linkage Projects, and industry collaborations with organizations like Sydney Trains and Comsteel. His work addresses critical challenges in rail infrastructure durability, material optimization, and sustainable manufacturing.
Joakim Odqvist is a Professor and Head of Department at the Structures unit within the Royal Institute of Technology (KTH). He specializes in materials science, with a focus on phase separation in alloys, nanostructure evolution, and the mechanical behavior of advanced materials. His research integrates experimental techniques like small-angle neutron scattering and atom probe tomography with computational modeling to study materials such as stainless steels, cemented carbides, and cast irons. Odqvist teaches courses in ceramic materials, material design, and materials structures, mentoring students at both undergraduate and graduate levels. His work addresses challenges in corrosion resistance, fatigue, and additive manufacturing, contributing to the development of high-performance materials for industrial applications. Research Interests: Phase separation mechanisms, spinodal decomposition in Fe-Cr alloys, nanostructure evolution in duplex stainless steels, diffusion kinetics, and the application of statistical models to hydrogen diffusion. His studies often bridge fundamental material science with practical engineering solutions, emphasizing predictive simulations and material design. Recent Articles: His publications focus on controlling nanostructures in super duplex steels, functional gradient carbides, and statistical models for hydrogen diffusion. Key themes include optimizing heat treatments to mitigate embrittlement, understanding precipitation kinetics in additively manufactured materials, and leveraging phase field modeling to predict material behavior. These studies highlight his role in advancing materials for harsh environments, such as aerospace and energy sectors.
Umut Altuntas is a Doctoral Assistant at the Engineering Mechanics of Soft Interfaces (EMSI) laboratory within the School of Engineering at École Polytechnique Fédérale de Lausanne (EPFL). His work focuses on experimental fracture mechanics and additive manufacturing of heterogeneous materials. Research Areas: Fracture mechanics of bioinspired interfaces, fatigue analysis, interlaminar shear strength optimization, and multi-material additive manufacturing. Technical Focus: Essential work of fracture analysis, fused filament fabrication, suture morphology engineering, and structural battery composite design. Publications highlight innovative approaches to enhancing interfacial toughness in 3D-printed polymer composites through bioinspired design and advanced manufacturing techniques. Keywords include Mechanical Engineering, Materials Science, and Additive Manufacturing. Sub-fields emphasize bioinspired interfaces, multifunctional composites, and fracture resistance mechanisms.
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.
