جست‌وجوی استاد و پژوهشگر

• Programming Languages
• Formal Verification
• Concurrent and Parallel Systems
• +۱۰ مورد دیگر

Professor Sophia Drossopoulou is a Professor of Programming Languages in the Department of Computing at Imperial College London, part of the Faculty of Engineering. Her affiliations include the Centre for Cryptocurrency Research and Engineering and the Sound Programming Languages research group. She holds a visiting researcher position at Microsoft Research (UK) from May 2019 to May 2020. Her research focuses on foundational programming language design and formal methods, emphasizing concurrency, type systems, and program verification. Key areas include concurrent program reasoning (e.g., TaDA framework), memory management (reference capabilities, garbage collection), and secure systems (smart contracts, cyber-physical systems). She explores practical language extensions for performance optimization (e.g., cache locality) while maintaining safety guarantees through formal verification techniques. Her work spans theoretical contributions (formal semantics, logical frameworks) and applied systems (compilers, runtime verification tools like Zeno). Recent trends show strong engagement with actor-based models (Pony language), digital twins, and cybersecurity challenges in modern software systems. Awards and recognitions are not explicitly listed in the provided text, but her extensive publication record in top venues (ECOOP, POPL, TOPLAS) indicates academic impact. Her advising focuses on graduate students in systems programming and formal methods, though specific student names are not mentioned here. Labs and collaborations involve the Sound Programming Languages group at Imperial College, emphasizing interdisciplinary work between formal methods and practical language implementation. Current projects include improving concurrency semantics and verifying complex systems through compositional reasoning techniques.

David M. Labyakمشاهده پروفایل

استادیار

• Solid Mechanics
• Finite Element Analysis
• Vibration Analysis
• +۱۳ مورد دیگر

David M. Labyak is an Assistant Professor at Michigan Technological University's College of Engineering, affiliated with both the Manufacturing and Mechanical Engineering Technology and Mechanical and Aerospace Engineering departments. He teaches courses in computer-aided engineering, finite element methods, dynamic systems control, machine design, robotics dynamics, and Industry 4.0 concepts. PhD in Mechanical Engineering-Engineering Mechanics (2003) and MS in Mechanical Engineering (2000) from Michigan Tech Over 24 years of industrial experience in automotive, aerospace, mining, and consulting sectors His research interests span solid mechanics, finite element analysis, vibration analysis, machinability of metals, biomechanics, and helmet design optimization. Collaborative work includes dynamic testing, acoustic modeling, and workforce development initiatives. Recent publications highlight interdisciplinary work in vibration testing, metalcasting, and educational frameworks. Key areas include defect detection in additive manufacturing, dynamic fixture design, and experiential learning for mechatronics.

Jacqueline Coleمشاهده پروفایل

دانشیار

• Rehabilitation Engineering
• Regenerative Medicine
• Bone Mechanics
• +۵ مورد دیگر

Jacqueline Cole is an Associate Professor in the Department of Biomedical Engineering at North Carolina State University, part of the College of Engineering. Her research focuses on bone mechanics, musculoskeletal development, and regenerative therapies for conditions like brachial plexus birth injury and stroke-related bone deficits. She leads the Orthopaedic Mechanobiology Lab, which employs advanced imaging (e.g., CT, microscopy) and computational modeling to study bone-tissue interactions. Cole teaches courses in orthopedic biomechanics and bone mechanobiology. Education: Ph.D. (2007), M.S. (2004) Mechanical Engineering from Cornell University; B.S. (2001) Mechanical Engineering from Auburn University. Research interests include stroke and obesity effects on bone, brachial plexus injury recovery, and tissue engineering. Awards span teaching (NC State Alumni Outstanding Teacher Award) and research mentorship (Michael Dickey Award). She has pioneered studies on bone-vascular interactions and suture materials for tendon repair. Her lab’s long-term goals involve developing therapies to prevent musculoskeletal dysfunction via mechanobiological approaches. Grants include NIH TIGRR and K12 funding. Recent work explores ischemic stroke’s impact on osteovascular structure and brachial plexus injury’s effects on joint morphology.

Marco Nieمشاهده پروفایل

استاد

• Transportation Engineering
• Transportation Systems Analysis
• Urban Mobility
• +۷ مورد دیگر

Marco Nie is a Professor and Chair of the Department of Civil and Environmental Engineering at Northwestern University, where he has been a faculty member since 2006. His research focuses on Transportation Systems Analysis, emphasizing interdisciplinary approaches that integrate optimization, network science, traffic flow theory, economics, and statistics to address complex interactions between human activities, infrastructure, and urban networks. He teaches three courses: an undergraduate/graduate introduction to transportation engineering, and two graduate courses on analytical and computational tools for surface transportation systems design. Education: Marco Nie earned a BS in Structural Engineering from Tsinghua University (Beijing), followed by graduate studies in Transportation at the National University of Singapore (NUS), and a PhD in Transportation from the University of California, Davis. Research interests include improving transportation efficiency, sustainability, and equity through policy and technology. Recent work explores autonomous vehicles, modular transit systems, congestion pricing, and data-driven solutions for EV charging and ride-hail platforms. He has expressed challenges in securing research funding, noting its critical role despite inherent flaws in evaluating research impact through monetary metrics. Scientific Awards: He received the 2021 Transportation Science Meritorious Service Awards . Marco also serves on editorial boards, including Service Science (2023), and actively publishes on topics like urban mobility, freight logistics, and policy analysis. Advising & Grants: While no specific students or grants are listed, he highlights the importance of funding mechanisms for research. His work often involves collaborations with sponsors and stakeholders to address real-world transportation challenges. Labs/Teams: Affiliated with the Center for Science and Protection of Engineered Environments and engages in interdisciplinary research groups focusing on sustainable and equitable urban systems.

• Artificial Intelligence (AI)
• Machine Learning Algorithms
• AI Ethics
• +۴ مورد دیگر

Daswin De Silva is a Full Professor of AI and Analytics at La Trobe University, Australia, and Deputy Director of the Centre for Data Analytics and Cognition (CDAC). He also holds an Adjunct Professor position at Lulea University of Technology, Sweden. His expertise spans AI ethics, algorithm development, and applications in healthcare, energy, and education. He leads major initiatives like the La Trobe Energy AI Platform for net-zero emissions and the OptusU AI Micro-credentials program. Education: PhD in AI (Monash University, 2011). Awards include the Australian Awards for University Teaching (2021), Vice-Chancellor’s Teaching Award (2019), and Mid-Career Research Excellence Award (2018). Editor of five journals including IEEE Transactions on Industrial Informatics and Springer Discover AI. Research focuses on generative AI, ethical AI systems, and vector symbolic architectures. Recent work includes AI applications in healthcare diagnostics, energy efficiency, and smart cities. He has secured AU$14M in research funding and supervised 15 PhD completions with 10 current students. Leadership roles include Deputy Chair of La Trobe’s Research & Graduate Studies Committee and chairmanship of IEEE committees on Responsible AI and Web/Information Systems. Keynote speaker at global conferences like IEEE HSI, INDIN, and ETFA. Media engagements include ABC News, Forbes, and The Conversation.

• Textile Engineering
• Composite Materials
• Sustainable Textiles
• +۳ مورد دیگر

Thomas Gries is a Professor at RWTH Aachen University 's Department of Textile Technology . He serves as the Director of the university's textile machinery department, leading research in composite materials, sustainable textiles, and advanced manufacturing technologies. Current Role: University Professor & Director, Chair of Textile Machinery Research Focus: Textile engineering, carbon fiber composites, sustainable manufacturing, digital twins His work spans experimental studies on fiber-reinforced composites, AI-driven process optimization, and lunar regolith-based fiber production for space applications. Collaborations include public research projects with industrial partners and events like the WIRKTag 2025 on AI in work design. Recent publications analyze: Mechanical behavior of natural/synthetic fiber composites Recycled thermoplastic composite thermoforming 3D-woven CFRP structural optimization Moon-based fiber production from lunar materials Environmental impact assessment tools for textiles

Sepideh Ghodratمشاهده پروفایل

استادیار

• Shape Morphing Design
• Stimuli-Responsive Materials
• Smart Material Systems
• +۴ مورد دیگر

Dr. Sepideh Ghodrat is an Assistant Professor of Shape Morphing Design at TU Delft's Faculty of Industrial Design Engineering. She bridges materials science and design, focusing on stimuli-responsive materials for dynamic, interactive products. Her research emphasizes 4D printing, smart materials, and sustainable applications. Research Projects include 4D Printing Magnetically Activated Shape Morphing Objects and SereniSleeve (wearables for anxiety modulation). Courses taught: Materials and Manufacturing (2023-2024). Research Interests : Shape Morphing Design (SMD) Stimuli-Responsive Materials (e.g., shape memory alloys, polymers) 4D Printing and Magnetic Soft Materials Applications in healthcare, automotive, and sustainability Key Contributions : Developed modular self-folding hinges (Mimosa Kit). Explored haptic wearables for visually impaired users. Advocates for adaptive, environment-responsive products. Labs/Teams : Involved in multiple interdisciplinary research teams at TU Delft, focusing on smart materials and sustainable design engineering.

Ilja K. Voetsمشاهده پروفایل

استاد

• Soft Matter Physics
• Polymer Science
• Colloidal Self-Assembly
• +۶ مورد دیگر

Ilja K. Voets is a Full Professor at Eindhoven University of Technology (TU/e) in the Department of Chemical Engineering and Chemistry, leading the Self-Organizing Soft Matter research group. She is also a Core member of the Institute for Complex Molecular Systems (ICMS). Her academic journey began at Wageningen University & Research where she earned her PhD cum laude in 2008, followed by postdoctoral research at the Aldolphe Merkle Institute in Switzerland. Since 2011, she has been at TU/e, becoming a full professor in 2018. Her educational background includes Molecular Sciences at Wageningen University & Research, with a PhD focusing on micellisation in dilute aqueous solutions of oppositely charged double hydrophilic block copolymers. She was supervised by dr. Arie de Keizer and prof. Martien A. Cohen Stuart. Professor Voets leads an interdisciplinary team of chemists, physicists, biologists, and engineers studying self-assembly processes in biological soft matter. Her research focuses on colloidal self-organization, polymer assembly and folding, and protein biophysics, with particular interest in ice-binding proteins that help organisms survive in extreme cold environments. She investigates how to control intra- and intermolecular copolymer assembly to develop novel functional soft materials, artificial enzymes, and strategies to enhance colloidal stability. A key challenge in her work involves orchestrating colloidal self-assembly with remote cues such as light and temperature. Her recent publications reveal a strong focus on antifreeze proteins, colloidal assembly, and nanoparticle technology, with significant contributions to understanding ice-binding mechanisms and developing novel soft materials. The research demonstrates consistent high-impact output across prestigious journals including PNAS, Angewandte Chemie, and Biomacromolecules. Ambizione Award (2010) : Recognizing early-career research excellence DMS Science and Technology Award (2009) : For significant contributions to materials science ERC Consolidator Grant (2021) : Supporting advanced research in ice-binding protein-polymers Ice-binding protein-polymers project (2016) : Focused on control over ice growth in soft materials Innovative peptide system award (2019) : For novel drug targeting approaches Professor Voets supervises numerous research projects and students, teaching courses including Biological Physics, Physical Chemistry, and Experimental Soft Matter. Her research group is affiliated with the Institute for Complex Molecular Systems, Eindhoven Polymer Laboratories, and the Gravity Program Functional Molecular Systems. Industry collaborations include DSM, Kemetyl, and Unilever, demonstrating the practical applications of her fundamental research. Her work contributes significantly to UN Sustainable Development Goals related to responsible consumption, climate action, and life below water.

Valentina Breschiمشاهده پروفایل

استادیار

• Data-driven control
• Control systems
• Machine learning
• +۵ مورد دیگر

Valentina Breschi is an Assistant Professor in the Control Systems Group at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e). She holds a Ph.D. from IMT School for Advanced Studies Lucca, with postdoctoral and junior faculty experience at Politecnico di Milano. Her research focuses on data-driven control, jump model learning, meta-learning for system identification, and human-centered policy design for mobility systems. She contributes to UN Sustainable Development Goals related to sustainable infrastructure and innovation. Education: B.Sc. in Electronic and Telecommunication Engineering (University of Florence, 2011) M.Sc. in Electrical and Automation Engineering (University of Florence, 2014) Ph.D. in Control Systems (IMT School for Advanced Studies Lucca, 2018) Research Interests: Her work spans data-driven control methodologies, including LPV control, predictive control, and ethical frameworks for policy design. She explores applications in sustainable mobility, energy systems, and healthcare, emphasizing fairness and social impact. Labs/Teams: She is part of the Control Systems Group, collaborating on projects like the CONSIDER study and the design of fair-MPC frameworks. Her work integrates theoretical control principles with real-world applications in smart systems and social networks.

Fleur Dekenمشاهده پروفایل

استاد

• Mission-Oriented Innovation
• Innovation Ecosystems
• Interorganizational Collaboration
• +۵ مورد دیگر

Prof. Fleur Deken is a Full Professor of Strategy, Technology & Innovation at Vrije Universiteit Amsterdam and holds a University Research Chair. She serves as Vice-Dean of Research at the School of Business and Economics. Her work focuses on mission-oriented innovation, innovation ecosystems, and interorganizational collaboration, particularly in addressing societal challenges through strategic experimenting with digital technologies. Education: PhD (cum laude, TU Delft), MSc Strategic Product Design (TU Delft), BSc Psychology (UvA), BSc Industrial Design Engineering (TU Delft), and a minor in Business Admin (NUS). Research emphasizes routine dynamics, process research methods, and open science. She leads projects with Philips, BSH, and public institutions like the City of Amsterdam, focusing on innovation ecosystems and fieldlabs. Key grants include €1.5M NWO KIC Mission Driven Innovation and NWO Veni awards. Teaching roles include coordinating the BSc International Business Admin program (2020–2024) and executive courses on innovation management. Editorial roles include Academy of Management Journal and Strategic Organization. Notable contributions include studies on healthcare ecosystems, temporal coordination in smart city projects, and reusing qualitative data for open science. Her work spans management, strategy, innovation studies, and design disciplines.

• Fluid Power
• Additive Manufacturing
• Smart Manufacturing
• +۴ مورد دیگر

Dr. José Garcia-Bravo is an Associate Professor at the Purdue Polytechnic Institute, Department of Mechanical Engineering Technology, specializing in fluid power systems, additive manufacturing, and smart manufacturing using Industrial Internet of Things (IIoT) technologies. His work bridges applied research with educational innovation, including the development of a miniature electro-hydraulic excavator arm and the Fluid Power Student Club. Education: Ph.D. in Engineering (Fluid Power), Purdue University, 2011 M.Sc. in Engineering, Purdue University, 2006 M.A. in Teaching of Spanish, Purdue University, 2004 B.Sc. in Mechanical Engineering, Universidad de Los Andes, 2002 His research interests span fluid power & motion control, digital twins, reverse osmosis systems, and mixed reality applications in manufacturing. He focuses on optimizing hydraulic systems for heavy-duty vehicles, embedding sensors in 3D-printed components, and advancing water purification technologies. Recent publications highlight innovations in digital hydraulics, bio-based packaging materials, and reverse osmosis efficiency. He has secured patents for 3D-printed lens gratings and processes for additive manufacturing. Scientific Awards: Purdue Polytechnic Outstanding Faculty in Learning Award (2019) Purdue Polytechnic Outstanding Faculty in Engagement Award (2022) Dr. Garcia-Bravo actively engages in globalizing fluid power education, facilitating student exchanges with Latin American countries and contributing to international standards for hydraulic components through ISO committees.

Wout Weijtjensمشاهده پروفایل

پژوهشگر ارشد

• Structural Health Monitoring
• Offshore Wind Turbines
• Fatigue Analysis
• +۲ مورد دیگر

Wout Weijtjens is a Research Fellow at Vrije Universiteit Brussel, affiliated with the Acoustics & Vibration Research Group in Applied Mechanics. His research focuses on structural health monitoring (SHM) of offshore wind turbines, fatigue analysis, and vibration-based damage detection using advanced signal processing and machine learning techniques. Current projects include FIRMEST (fatigue assessment of offshore wind turbine substructures) and FOOS (Forced Oscillations in turbines). His research interests span: Operational modal analysis for offshore structures Machine learning applications in SHM Fatigue life prediction under environmental variability Sensor networks for infrastructure monitoring Wind turbine dynamics under harsh conditions Recent publications demonstrate a consistent focus on developing predictive maintenance frameworks through multivariate sensor data analysis, uncertainty quantification in SHM systems, and validation of computational models against full-scale field measurements. Article trends emphasize machine learning integration with physical models for improved fatigue life assessment. Awards and recognitions include: Best Paper Award (2nd place, 2022) Poster Award (2017) Solvay Award (2015) As principal investigator on multiple grants including VLADBC7 and VLADBC9 projects, he supervises PhD candidates in vibration-based SHM and leads experimental validation at OWI-Lab's Large Climate Chamber. His team develops IoT monitoring solutions for civil infrastructure through the SMART TOWERS initiative.

Aoyi Luoمشاهده پروفایل

استادیار

• Solid Mechanics
• Materials Design and Manufacturing
• Soft Robotics
• +۳ مورد دیگر

Aoyi Luo is an Assistant Professor at Syracuse University, specializing in interdisciplinary research at the intersection of mechanics, materials science, and robotics. Their work focuses on advancing adhesion mechanisms, soft robotics, and manufacturing processes through computational methods and data-driven approaches. Research interests include microtransfer printing optimization, variable stiffness structures, architected materials design, and humidity-responsive adhesives. The group leverages machine learning and mechanics principles to solve challenges in robotics and manufacturing. Publications span topics like dry adhesive optimization, soft robotic gripping, and fracture mechanics in materials. Collaborations involve multi-author studies on advanced materials and their applications in real-world systems. No scientific awards are explicitly mentioned, but ongoing research highlights innovation in smart materials and sustainable manufacturing. Advising and grants are not detailed, though the active research group implies student involvement in experimental and computational projects. The group's work contributes to labs focused on mechanics-driven material innovation and robotic systems.

Mina Konakovic Lukovicمشاهده پروفایل

استادیار

• Computer Graphics
• Computational Fabrication
• 3D Geometry Processing
• +۴ مورد دیگر

Mina Konaković Luković is an Assistant Professor in the Department of Electrical Engineering and Computer Science at Massachusetts Institute of Technology (MIT) , affiliated with the Computer Science and Artificial Intelligence Laboratory (CSAIL) . She leads the Algorithmic Design Group , focusing on computational design and fabrication, geometry processing, and robotics. Education: PhD in Computer Science (EPFL), MS & BS in Mathematics (University of Belgrade) Research Interests: Spanning computer graphics, computational fabrication, and 3D geometry processing with applications in smart materials, architectural geometry, and physics-based simulations. Her work integrates machine learning and differential geometry to optimize design algorithms for novel materials and deployable structures. Articles Trends: Recent publications emphasize multi-objective optimization for 3D printing materials, graph grammar in robot design, and computational methods for auxetic structures. Themes revolve around data-driven design, deployable shells, and terrain-adaptive robotics. Scientific Awards: Schmidt Science Fellows Additional Study Grant (2020) ACM SIGGRAPH Outstanding Doctoral Dissertation Honorable Mention (2020) Eurographics PhD Award (2020) Patrick Denantes Memorial Prize (2019) Doctoral Program Thesis Distinction from EDIC EPFL (2019) SIAM Early Career Prize (2020) Eurographics Junior Fellows (2021) Advising & Grants: Mentored by Prof. Dr. Wojciech Matusik and Prof. Dr. Mark Pauly, with funding from Swiss National Centre of Competence in Research (NCCR) Digital Fabrication. She actively participates in program committees and summer schools.

• Fashion Technology
• Smart Textiles
• Medical Textiles
• +۵ مورد دیگر

William Hurley is a Senior Lecturer at Nottingham School of Art & Design, Nottingham Trent University, specializing in Fashion, Knitwear and Textile Design. With over 18 years of experience in education and research, he focuses on industrial knit technology and its creative applications in novel textile development. His primary research interest lies at the intersection of technology innovation and creative design processes, particularly in fashion weft knitting. He explores novel applications through seamless knitting, 3D knitted structures, and electro-active textiles for medical and communication purposes. His work bridges traditional fashion design with cutting-edge technological advancements, emphasizing how technological innovation drives creative exploration in textile development. Recent publications (2025-2013) reveal consistent focus on textile-based sensors, antenna materials, and moisture management in knitted textiles. Key themes include optical and electrical sensing for health monitoring, space antenna applications, compression garments, and environmental effects on textile performance. This output demonstrates deep expertise in smart textiles and industrial knitting, with strong emphasis on practical applications in healthcare, aerospace, and wearable technology. No major scientific awards are documented in the available records. He has secured significant funding from Innovate UK, Horizon 2020, and the European Space Agency for projects including patient-customized compression sleeves for lymphoedema treatment, active simulator cockpit enhancement, and space antenna surface materials. While specific PhD students aren't listed, his role as Senior Lecturer involves supervising undergraduate students in knitwear design and research projects within the BA (Hons) Fashion Knitwear Design program. He is an active member of the Advanced Textiles Research Group (ATRG), which develops innovative textile applications across medical, communication, and aerospace domains. His work includes commercialized outcomes like Nike's Flyknit technology and SmartLife Technology Ltd's knitted transducers.