جست‌وجوی استاد و پژوهشگر

• Materials Science and Engineering
• Biological Engineering
• Mechanobiology
• +۱۲ مورد دیگر

Krystyn J. Van Vliet is a Professor in the Department of Materials Science and Engineering and the Department of Biological Engineering at Cornell University's College of Engineering. She serves as Vice President for Research and Innovation, overseeing research across the Ithaca and Cornell Tech campuses, technology transfer, and more than 20 multidisciplinary research centers. Previously, she was Associate Provost and Associate Vice President for Research at MIT, where she also held faculty appointments and earned her doctorate. Van Vliet's research focuses on the mechanobiology of cells and materials, particularly in the context of cell therapies, drug screening, and neurological disease modeling. Her work integrates materials science, engineering, and biology to develop innovative platforms such as artificial axons and microcarrier-based bioreactors. Key research areas include: Material chemomechanics at interfaces Biomechanics of oligodendrocytes and mesenchymal stromal cells 3D bioprinting and biomimetic neural systems Cell therapy manufacturing optimization Mechanotransduction in stem cell differentiation Her recent publications (2022–2025) demonstrate a strong focus on artificial axon platforms for myelination studies, microcarrier technologies for MSC expansion, and the role of mechanical cues in cell fate decisions. The articles reveal a consistent theme of engineering materials to probe and control biological processes, with applications in regenerative medicine and drug discovery. Van Vliet has received notable recognition, including: Indefinite tenure at Cornell University (2024) Cornell’s Trailblazer in Higher Education by City & State New York (2024) Leadership of the National Academies’ decadal survey on biological and physical sciences in space Scientific co-founder of Artificial Axons Lab, an MIT startup She has advised numerous researchers and led large collaborative teams, including a 50+ member international effort on cell and gene therapies. Her administrative leadership includes overseeing MIT’s Office of Strategic Alliances and Technology Transfer and managing pandemic-era research operations. She has secured significant funding, including an SISGR grant on chemomechanics of interfaces, and continues to expand Cornell’s innovation ecosystem through initiatives supporting hardware entrepreneurs and public-private partnerships. Her lab, though likely scaled back due to administrative duties, remains active in publishing high-impact research. Van Vliet is affiliated with several research entities: Artificial Axons Lab (co-founder) MIT-Singapore Research Collaboration on Cell and Gene Therapies National Academies Decadal Survey Committee Cornell’s multidisciplinary research centers and accelerators

Jongho Leeمشاهده پروفایل

دانشیار

• Membrane Science
• Water Treatment
• Resource Recovery
• +۴ مورد دیگر

Dr. Jongho Lee is an Associate Professor in the Department of Civil Engineering at the University of British Columbia (UBC), part of the Faculty of Applied Science. He leads the CLEAN Lab (Clean-Energy and -Water Nanotechnology), focusing on solving challenges in the water-energy nexus through advanced membrane technologies. His research integrates disciplines like separation science, nanotechnology, and material engineering. Education: PhD in Mechanical Engineering from MIT (2014), postdoc at Yale University, and B.S./M.S. from Seoul National University. Awards include the New Frontier Research Funds (2021) for artificial tree projects and recognition for membrane science contributions. Research Interests: Membranes for water treatment, resource recovery (energy, biochemicals), desalination, electrokinetics, and biomimetic systems. His lab develops omniphobic membranes, vapor-gap systems, and scalable solutions for hypersaline wastewater and energy harvesting. Awards highlight his innovation: 2021 CoLab grant for artificial trees, MIT’s Pappalardo Fellowship (2008), and top honors from the American Society of Mechanical Engineers. Recent projects include a 2024 research day collaboration on artificial trees, student mentorship (e.g., Hiroki’s 2024 dissertation), and publications on anti-fouling membranes and solar-driven water harvesting. His work bridges academia and industry via partnerships like the Clean Energy Research Centre.

Michael Cullinanمشاهده پروفایل

دانشیار

• Nanomanufacturing
• Nano and Micro-scale Engineering
• Additive Manufacturing
• +۳ مورد دیگر

Dr. Michael Cullinan is an Associate Professor in the Walker Department of Mechanical Engineering at the University of Texas at Austin, supported by the Temple Foundation Endowed Faculty Fellowship. His research focuses on nanomanufacturing systems, nanoscale phenomena applications, and the development of novel micro/nanoscale devices for energy and sensing. He holds a PhD from MIT (2011), an MS from MIT (2008), and dual degrees from Swarthmore College (B.S. Engineering and B.A. Economics). His work bridges nanotechnology and macro-scale engineering, with emphases on additive manufacturing, machine learning-driven process control, and material characterization. Research interests include nanomanufacturing processes, thin film engineering, nanoparticle sintering, and microelectronic device fabrication. Notable projects involve in-situ monitoring of additive manufacturing processes, moiré-based metrology, and development of microscale selective laser sintering (μ-SLS) systems. His publications highlight advancements in quality control, thermal energy transfer modeling, and precision manufacturing techniques. Key contributions include methodologies for metal powder emissivity measurement, data-driven predictive optimization in additive manufacturing, and advancements in roll-to-roll nanomanufacturing metrology. The Nano Design and Manufacturing Lab under his leadership explores next-generation manufacturing solutions for energy and sensing applications.

Christopher McCombمشاهده پروفایل

دانشیار

• Sociotechnical Systems
• Machine Learning for Engineering Design
• Human-AI Collaboration
• +۱۷ مورد دیگر

Christopher McComb is an Associate Professor in the Department of Mechanical Engineering at Carnegie Mellon University's College of Engineering. He leads research in sociotechnical systems, machine learning for engineering design, and human-AI collaboration. He is affiliated with the Block Center for Technology and Society, Manufacturing Futures Institute, NextManufacturing Center, and Wilton E. Scott Institute for Energy Innovation. Previously, he was an assistant professor at Penn State, where he directed the Center for Research in Design and Innovation and led the Technology and Human Research in Engineering Design Group. Ph.D., Mechanical Engineering, Carnegie Mellon University M.S., Mechanical Engineering, Carnegie Mellon University B.S., Civil Engineering and Mechanical Engineering, California State University-Fresno His research centers on human-AI teaming , sociotechnical systems , and computational design , with applications in additive manufacturing, STEM education, and energy systems. He explores how machine learning can enhance engineering design processes, particularly through human-centered AI, generative design, and agent-based modeling. His work emphasizes the integration of human cognition and behavior into AI systems to improve collaboration and innovation. The 15 most recent publications (2025) demonstrate a strong trend in AI-driven design automation , neural surrogate modeling , human-AI interaction , and data generation for engineering simulations . Topics span from using large language models for material selection and design concept generation to developing datasets and benchmarks for advanced manufacturing and CAD systems. There is a clear emphasis on real-world applications in aerospace, finance, and global manufacturing, particularly in Africa. National Science Foundation Graduate Research Fellow McComb has received research funding from NSF, DARPA, and private corporations, and has collaborated with Boeing through their Visiting Professorship Program. He advises students in mechanical engineering and design, and leads the Human+AI Design Initiative and the Design Research Collective. His research has been applied in partnerships with NASA and in addressing manufacturing challenges in Africa. He leads or contributes to interdisciplinary research teams focused on AI in design, additive manufacturing, and energy systems. His labs and initiatives include the Human+AI Design Initiative and the Design Research Collective, which foster collaboration between human-centered design and artificial intelligence.

Liwei Wangمشاهده پروفایل

استادیار

• Machine Learning
• Computational Engineering
• Data-Driven Design
• +۱۹ مورد دیگر

Liwei Wang is an Assistant Professor in the Department of Mechanical Engineering at Carnegie Mellon University's College of Engineering, where he leads the Computational and Physical Intelligence Laboratory (CPhI Lab). His research integrates computational modeling, machine learning, and mechanics to design advanced materials and smart systems. Education: Ph.D., Mechanical Engineering, Shanghai Jiao Tong University (2022, Honors) B.S., Mechanical Engineering, Shanghai Jiao Tong University (2017, Honors) Liwei Wang's research interests lie at the intersection of machine learning, computational engineering, and advanced materials . He develops data-driven and physics-informed frameworks for topology optimization, metamaterials, 3D/4D printing, soft robotics, and programmable materials systems . His work emphasizes physical intelligence —designing materials that can sense, adapt, and respond to their environments. Applications span mechanical protective cloaks, flexible electronics, minimally invasive surgery, and mechanical computing . His recent publications reveal a strong trend toward multi-scale, data-efficient design of metamaterials using advanced machine learning techniques such as Gaussian processes, latent variable models, and neural networks. He focuses on scalable, differentiable, and task-aware optimization methods that enable rapid discovery and deployment of functional material systems. Scientific Awards: ASME Design Automation Dissertation Award ASME Design Automation Conference Best Paper Award Institution-level Outstanding Ph.D. Dissertation Award Dr. Wang advises a growing research group at CMU and leads the CPhI Lab, where his team develops next-generation computational tools for materials innovation. While specific grants are not listed, his research is likely supported by federal and private funding given the scope and impact of his work. His lab emphasizes interdisciplinary collaboration and translation of computational designs into physical prototypes via additive manufacturing. Laboratory & Team: The Computational and Physical Intelligence Laboratory (CPhI Lab) focuses on co-designing materials and structures with embedded intelligence, combining simulation, data science, and experimental validation to push the boundaries of what engineered materials can achieve.

Vinod Narayananمشاهده پروفایل

استاد

• Energy Efficiency
• Thermal Management
• Microscale Heat Transfer
• +۴ مورد دیگر

Professor Vinod Narayanan is a faculty member in the Department of Mechanical and Aerospace Engineering at the University of California, Davis. He serves as the Associate Director of the UC Davis Western Cooling Efficiency Center (WCEC) and leads the Supercritical carbon dioxide Thermal Energy Enhancement Laboratory (STEEL) and Microscale Thermal Energy Enhancement Laboratory (𝜇TEEL). His research focuses on energy efficiency, microscale heat transfer, and solar thermal energy applications. Key areas include designing compact heat exchangers for high-temperature systems, enhancing boiling and condensation in microscale environments, and optimizing energy efficiency in buildings and industrial processes. Research interests span thermal management for electronics and avionics, solar thermal power generation using supercritical CO2, and additive manufacturing of heat exchangers. Collaborations with institutions like Carnegie Mellon University and funding from the Department of Energy highlight his work's impact. Awards include the IEEE ITherm Best Poster Award and ASHRAE's Best Paper Award. His labs develop technologies to reduce energy consumption in thermal systems, with applications in decarbonizing food processing and livestock cooling. Major grants include a $4.6M DOE grant for heat exchanger optimization and a $2.4M ARPA-E award for 3D-printed heat exchangers. He has contributed to numerous high-impact publications since 2013, with recent work emphasizing additive manufacturing and solar thermal systems. His interdisciplinary approach bridges thermal science, materials engineering, and sustainable energy solutions.

Parthasarathi Mandalمشاهده پروفایل

استاد

• Bio-Engineering
• Structural Mechanics
• Biomechanics
• +۴ مورد دیگر

Parthasarathi Mandal is a Professor (Reader) in Bioengineering and Structural Mechanics at the University of Manchester. He leads the Bio-engineering research theme in the School of Mechanical, Aerospace and Civil Engineering and serves as Head of Equality, Diversity, Inclusion, and Access for the School of Engineering. His expertise spans structural mechanics, biomechanics, and bio-engineering, with a focus on interdisciplinary research addressing societal challenges. Education: BE and MTech from NIT Durgapur and IIT Kanpur, followed by a PhD from the University of Cambridge. Professional roles include former Director of Civil Engineering Undergraduate Programmes (2012–2017) and co-director of Manchester Institute for Collaborative Research on Ageing (MICRA). He is an Associate Editor of Research on Biomedical Engineering and has secured ~£1.5M in research grants. Research Interests: Bio-engineering, computational mechanics, thin-walled structures, and cell/tissue engineering. Key projects include stability of large-scale structures, micro-mechanics of human cells, and novel biomechanical models for medical devices. His work contributes to UN SDGs, particularly in advancing healthcare and sustainable infrastructure. Supervised 24 PhD students and published over 80 peer-reviewed articles. Notable contributions include developing a theoretical framework for cylindrical shell buckling and advancing friction stir welding techniques. Active in teaching innovation,他曾领导战略教学工作组以提升学生学习体验.

Santosh Kumar Tadakamadlaمشاهده پروفایل

استاد

• Public Health Dentistry
• Oral Health Promotion
• Health Inequalities
• +۸ مورد دیگر

Professor Santosh Kumar Tadakamadla serves as the Head of Dentistry and Oral Health at La Trobe Rural Health School, La Trobe University, Australia. With over 15 years of international experience as a dental academic and researcher, he specializes in public health dentistry and has made significant contributions to oral health policy and practice. His leadership extends to adjunct professorial appointments at University of Bari Aldo Moro (Italy), Dr D Y Patil Dental College & Hospital (India), and SRM Dental College (India). Professor Tadakamadla completed his PhD at Griffith University, Master of Public Health Dentistry at Rajasthan University of Health Sciences, and Bachelor of Dental Surgery at Rajiv Gandhi University of Health Sciences. He also holds a Postgraduate Diploma in Health Promotion from Public Health Foundation of India and a Graduate Certificate in University Learning and Teaching from Griffith University. His research focuses on oral health promotion, workforce distribution, health inequalities, oral epidemiology, and community-based interventions to address oral health disparities. Professor Tadakamadla has published over 170 peer-reviewed articles in high-impact journals including The Lancet and Journal of Dental Research. His work has influenced health policy, featured in OECD and Cochrane documents, and translated into large-scale health promotion initiatives. His recent publications demonstrate expertise across digital dentistry, oral health promotion interventions, substance-related oral trauma, and addressing health disparities among vulnerable populations. Professor Tadakamadla's scientific recognition includes: NHMRC Early Career Fellowship International Association for Dental Research (IADR) Centennial Emerging Leader Award for Asia-Pacific (2020) IADR Distinguished Scientist Young Investigator Award (2025) Honorary membership from the Australian Dental Association Victoria Branch Fellowships from the Pierre Fauchard Academy and International College of Dentists Senior Fellow of the Higher Education Academy As an experienced HDR supervisor, thesis examiner, and grant assessor, Professor Tadakamadla has mentored numerous early- to mid-career academics. He actively engages with Indigenous and rural communities, serves on international editorial boards, and collaborates globally to advance oral health equity. His research leadership extends to National Health and Medical Research Council-funded projects in Australia, with findings influencing health policy and practice.

Derek Andersonمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Information Fusion
• +۱۲ مورد دیگر

Derek Anderson is a Professor in the Department of Electrical Engineering and Computer Science at the University of Missouri, within the College of Engineering. He is a core faculty member of the MU Institute for Data Science & Informatics and leads the Mizzou INformation and Data FUsion Laboratory (MINDFUL). His research spans artificial intelligence, machine learning, information fusion, computer vision, and remote sensing, with applications in defense, healthcare, and humanitarian technology. Education: PhD, University of Missouri MS, University of Missouri BS, Wichita State University Anderson's research focuses on foundational AI challenges, particularly explainable AI (XAI) and the use of simulated data to train robust models under uncertainty. He investigates how AI systems make decisions and how to communicate those decisions clearly to humans, especially in high-stakes environments like medical imaging and autonomous vehicles. His work leverages tools like Unreal Engine and Infinite Studio to generate photorealistic and multispectral synthetic data, enabling broader and more diverse training sets than real-world data alone can provide. His recent publications and projects highlight trends in generative AI limitations , AI ethics , infrared sensor innovation , and AI for humanitarian demining . These works collectively emphasize transparency, robustness, and societal benefit in AI development. Scientific Awards and Leadership: Program Co-Chair, three national AI conferences (2023) Member, IEEE USA AI Committee Member, IEEE CIS Industry & Government (I&GA) Committee Member, IEEE Vertical on Societal Implications of AI Anderson is deeply committed to mentoring the next generation of AI scientists. He advises undergraduate, master’s, and PhD students, many of whom engage in hands-on research from their first year. His lab has secured approximately $29 million in funding across 25 projects from agencies like the U.S. Army ERDC and the National Science Foundation. He has published over 190 articles and is a sought-after leader in the AI research community. His lab, MINDFUL, focuses on information fusion and AI under uncertainty, with active projects in drone-based sensing, material design, and geospatial analytics. The team uses simulation as a core methodology to advance AI trustworthiness and performance across diverse domains.

Ahmed Hassanمشاهده پروفایل

دانشیار

• Applied Electromagnetics
• Nanoelectromagnetics
• Bioelectromagnetics
• +۱۲ مورد دیگر

Ahmed Hassan is an Associate Professor in the Department of Electrical Engineering at the University of Missouri-Kansas City (UMKC), School of Science and Engineering. He is the founder and director of the Multidisciplinary Multiscale Electromagnetics Lab (MMEL), where he conducts cutting-edge research in applied electromagnetics with applications in nanotechnology, medicine, and defense. Education: Ph.D. in Electrical Engineering, University of Arkansas, 2010 M.S. in Electronics and Communication Engineering, Cairo University, 2006 B.S. in Electronics and Communication Engineering, Cairo University, 2004 Research Interests: His expertise spans applied electromagnetics, nanoelectromagnetics, bioelectromagnetics, computational electromagnetics, electromagnetic compatibility (EMC), and microwave/terahertz imaging. He employs both computational and experimental methods to solve real-world challenges in materials, biomedical sensing, and defense systems. His work often integrates machine learning and high-performance computing for electromagnetic modeling. Publication Trends: His recent research focuses on carbon nanotubes, plasmonic sensors, UAV electromagnetic compatibility, and biomedical applications of microwaves. He frequently uses characteristic mode analysis, computational modeling, and experimental validation to advance understanding in multiscale electromagnetics. Scientific Awards: University of Arkansas College of Engineering Early Career Alumni Award (2021) IEEE Senior Member (2019) UMKC Chancellor’s Early Career Award for Excellence in Teaching (2018) Elected Full-Member, U.S. National Committee for URSI (2018) CS&EE Excellence in Teaching Award (2017) Sigma Xi Outstanding Poster Award, NIST (2014) Doctoral Academy Fellowship, University of Arkansas (2007–2010) Cairo University Faculty Prize (1999–2004) Advising and Grants: Dr. Hassan has advised numerous PhD and MS students, many of whom have received research grants and awards. His lab is supported by major funding from DARPA, NSF, ONR, NIST, and industry partners like Zoloz. Projects include counter-drone technologies, biometric sensing, and nanoscale electromagnetic modeling. He actively recruits PhD students with strong computational or experimental backgrounds. Labs and Teams: The MMEL Lab is equipped with advanced hardware including vector network analyzers, SEM, and high-performance computing workstations, and software tools like COMSOL, FEKO, CST, and HFSS. The lab fosters interdisciplinary collaboration across engineering, physics, and medicine.

Kalle Lipiäinenمشاهده پروفایل

پژوهشگر

• Fatigue Performance
• Welded Structures
• Additive Manufacturing
• +۳ مورد دیگر

Kalle Lipiäinen is a Researcher (Post-doctoral) at LUT University's LUT School of Energy Systems, within the Mechanical Engineering department. His research focuses on fatigue performance of ultra-high-strength steels in welded and additively manufactured structures, emphasizing the effects of local quality and geometric factors on structural integrity. He is affiliated with the Laboratory of Steel Structures and has contributed extensively to studies on fatigue analysis, welding techniques, and materials science. Research Interests: Fatigue behavior of welded joints under variable loading conditions Mechanical performance of additively manufactured components Effects of cutting and manufacturing processes on structural durability Material characterization of ultra-high-strength steels Articles Trends: His work spans experimental and computational approaches to fatigue assessment, with a focus on improving design methodologies through advanced simulation frameworks like the 4R method. Recent studies address challenges in marine applications, additive manufacturing defects, and the utilization of existing infrastructure for hydrogen economies. Scientific Awards: None listed in available sources. Advising & Grants: No student advising or grant details provided in the text. Labs/Teams: Active in the Laboratory of Steel Structures at LUT University.

Alex Ferrer Ferreمشاهده پروفایل

دانشیار

• Materials Design
• Aeronautical Engineering
• Computational Mechanics
• +۴ مورد دیگر

Àlex Ferrer Ferre is a Serra-Hunter Associate Professor at the Department of Physics, Universitat Politècnica de Catalunya (UPC) in Barcelona, and an associate researcher at the International Center for Numerical Methods in Engineering (CIMNE). His research focuses on topology optimization, computational mechanics, and advanced material design. He holds a PhD in Computational Mechanics from UPC (2017) and has conducted postdoctoral research at the University of Oxford and École Polytechnique. Key roles include teaching courses like Flight Mechanics and leading the Swan project for topology optimization software. His work integrates academic and industrial collaborations with entities like ESA and INEGI. Research interests span multiscale design, topology optimization for additive manufacturing, and fracture mechanics. Major projects include the TopSat CubeSat chassis project (ESA-funded) and the Flexion project on flexible material design. Awards include the Marie Curie Fellowship (2019) and an Excellent Cum Laude PhD. His labs and teams collaborate globally, emphasizing open-source tools and collaborative research.

Sandy Curthمشاهده پروفایل

مدرس

• Architectural Additive Manufacturing
• 3D Printing
• Material Science
• +۴ مورد دیگر

Sandy Curth is a Lecturer and PhD candidate at the Massachusetts Institute of Technology (MIT), affiliated with the Design and Computation Group. She leads the Programmable Mud Initiative, focusing on architectural additive manufacturing with locally sourced earthen materials. Educational background: PhD in Design and Computation (MIT), Master of Architecture (UC Berkeley), and dual undergraduate degrees in Physics and Anthropology (Bennington College). Her research spans architectural design, material science, and computational fabrication. Key areas include: Development of bio-engineered local materials (Biocementation Program). Additive Energy: Thermally performative building elements using low-carbon earthen materials. EarthWorks: Zero-waste 3D printed earthen formwork for reinforced concrete construction. Life Cycle Assessment of earthen additive manufacturing systems. Robotic fabrication and structural optimization techniques. Her publications highlight innovations in 3D printing with earth, circular construction methods, and climate-resilient housing. Collaborations include MIT's Digital Structures, Huang Hobbs Biomaker Space, and Center for Bits and Atoms. Scientific Awards: 2019 Norman Foster Foundation Robotics Scholar. Her work intersects academia with practical applications, including contributions to the Long Now Foundation's 10,000 Year Clock Project and community engagement like the annual Christmas Bird Count.

Hongyu Nick Zhouمشاهده پروفایل

دانشیار

• Smart and Energy-Efficient Buildings
• Sustainable Construction Materials
• Additive Construction (3D Printing)
• +۷ مورد دیگر

Hongyu 'Nick' Zhou is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Tennessee, Knoxville, within the Tickle College of Engineering. He joined the university in August 2019 after serving on the faculty at the University of Alabama in Huntsville. He leads the Sustainable and Adaptive Built Environment (SABE) Group, focusing on transformative research in sustainable, energy-efficient, and resilient infrastructure systems. PhD in Civil Engineering, Arizona State University, 2013 MSE in Civil Engineering, Arizona State University, 2012 BS in Civil Engineering, Tongji University, China, 2010 Dr. Zhou's research spans smart and energy-efficient buildings, bio-inspired materials, additive construction, and cyber-physical systems in infrastructure. His work integrates materials innovation, structural design, and advanced manufacturing to enhance building performance and sustainability. He emphasizes multi-scale, multi-physics analysis and the development of carbon-negative and adaptive construction technologies. The 15 most recent publications highlight a consistent focus on sustainable cementitious composites, 3D printing of concrete, thermal and mechanical performance of lightweight materials, and bio-inspired design. The research trends emphasize energy efficiency, resilience, and the integration of functional materials into structural systems, supported by advanced modeling and experimental techniques. Scientific Awards: New Faculty Research Award, UAH, 2015 Individual Investigator Distinguished Research Award, UAH, 2014 Higher Education Research Experience (HERE) Fellow, ORAU, 2012 Dr. Zhou actively advises graduate and undergraduate research assistants, including Adam Brooks, Yawen He, and Zhenglai Shen. His research is supported by prestigious grants from the National Science Foundation (NSF), U.S. Department of Energy (DOE), Alabama Department of Transportation (ALDOT), and DOE REMADE Institute. He serves as an Associate Editor for the Journal of Sustainable Cement-based Materials , contributing to the advancement of sustainable construction science. The SABE Group conducts interdisciplinary research in biomimicry, robotic construction, building weatherization for vulnerable communities, and multi-sensory inspection. The group collaborates with Oak Ridge National Laboratory (ORNL) and other institutions, leveraging neutron imaging and large-scale 3D printing to push the boundaries of material science and construction technology.

Ann Sychterzمشاهده پروفایل

استادیار

• Structural Engineering
• Sustainable and Resilient Infrastructure Systems
• Adaptive Structures
• +۳ مورد دیگر

Ann Sychterz is an Assistant Professor at the University of Illinois Urbana-Champaign in the Civil and Environmental Engineering department. She leads the SMARTI Lab, focusing on adaptive structures, tensegrity systems, and machine learning for civil infrastructure. Her research integrates computational design with experimental validation to create deployable systems for climate resilience. PhD, Swiss Federal Institute of Technology Lausanne (2018) M.A.Sc, University of Waterloo (2014) B.A.Sc, University of Waterloo (2012) Her research interests span structural dynamics, form-finding, machine learning, and adaptive infrastructure. Recent work involves MLRAM materials for tensegrity structures, origami-based coastal anchors, and sensor-actuator optimization. 2024-2025 highlights include a Visiting Professorship at University of Stuttgart and SEAOI Outstanding Young Engineer Award . Key trends across her 2023-2025 publications include: Advancements in tensegrity and origami structural modeling Integration of machine learning for damage detection Functionally graded materials for geotechnical applications Experimental validation of full-scale deployable systems Scientific recognition includes: ASCE SEI Future Leaders Award (2024) Best Paper/Poster Awards (2021-2025) NSERC and Ontario Graduate Scholarships Leadership roles in ASCE Technical Committees She advises PhD students in structural control, oversees the SMARTI Lab, and collaborates with the Beckman Institute and National Center for Supercomputing Applications. Her work addresses climate-driven infrastructure challenges through deployable, biomimetic designs.