جست‌وجوی استاد و پژوهشگر

Claire Morinمشاهده پروفایل

مدرس ارشد

• Sleep Analysis
• Cognitive Frailty
• Biomechanics
• +۳ مورد دیگر

Claire Morin is a Senior Lecturer at Aix-Marseille University , affiliated with the Faculty of Medicine. Her research spans interdisciplinary domains including sleep analysis, occupational health, and biomechanics of biological tissues. Key Collaborations: Partnerships with Asma Gasmi, Vincent Augusto, and Stéphane Avril in sleep analysis and cognitive frailty studies. Legal Research: Contributions to occupational-environmental risk frameworks and social security law in Droit Social and Gazette du Palais . Research Interests include: Sleep and Cognitive Frailty: Developing non-intrusive connected bed technologies for sleep quality monitoring and early frailty detection in elderly populations. Arterial Mechanics: Investigating collagen fiber kinematics in carotid arteries using multiphoton microscopy and Fourier-based methods, challenging affine deformation theories. Therapeutic Education: Evaluating group therapeutic education programs for schizophrenia patients to improve medication adherence and functional remission. Scientific Trends reflect a focus on deep learning for health data, multiscale modeling of tissues, and integrating legal frameworks into occupational risk management. Her work bridges clinical applications, computational methods, and policy implications.

Simon Guestمشاهده پروفایل

استاد

• Structural Mechanics
• Mechanisms
• Materials and Multi-Material Systems
• +۵ مورد دیگر

Professor Simon Guest holds the Professor of Structural Mechanics chair at the University of Cambridge , where he is also the Head of Civil Engineering . His research bridges traditional structural mechanics with the study of mechanisms , focusing on deployable, bistable, and symmetry-driven structural designs. Structural mechanics and kinematic modeling Applications to origami-inspired and tensegrity structures Use of symmetry in analyzing framework stability The Structures Research Group at Cambridge, which he leads, explores themes such as rigid origami , tensegrity systems , and auxetic materials . His recent work emphasizes geometric nonlinearity , prestress stability , and symmetry-based mobility rules for frameworks. Articles like his 2025 studies on non-self-intersecting polyhedra and selfstressed tensegrity-origami units highlight his contributions to mechanical metamaterials and foldable structures .

Andrew John Witمشاهده پروفایل

دانشیار

• Architectural Robotics
• Robotic Architecture
• Building Systems
• +۳ مورد دیگر

Andrew John Wit is an Associate Professor in the Department of Architecture at Temple University's Tyler School of Art and Architecture, where he leads research on novel building systems through composites, robotics, and emerging digital tools. His educational background includes: Master of Architecture (MArch) from Massachusetts Institute of Technology (2009) Bachelor of Science in Architecture (BSArch) from The University of Texas at San Antonio (2005) Professor Wit's research focuses on Architectural Robotics and Robotic Architecture , investigating how digital fabrication and material innovation create adaptive building systems. His work bridges experimental design with industrial applications through composites and robotic production. His 2016-2023 publications reveal trends in AI integration, material imprecision, and ethical environmental design, exemplified by projects like Cloud Magnet and Underwood Pavilion that merge responsive architecture with sustainability. Major recognitions include: The Architects Newspaper's favorite tech book of 2018 for Towards a Robotic Architecture 2007 AIA Best of Practice Award for UTenSAils 2007 Industrial Fabrics Association International Outstanding Achievement Award No student advisees or grant details were specified in source materials. He co-founded wito* (Laboratory for Intelligent Environments), an interdisciplinary research group advancing intelligent building systems through robotic fabrication and environmental responsiveness.

Allen Backمشاهده پروفایل

مدرس ارشد

• Differential Geometry
• Dynamical Systems
• Mathematical Modeling
• +۳ مورد دیگر

Allen Back is a retired Senior Lecturer in the Department of Mathematics at Cornell University, affiliated with the College of Arts and Sciences. He holds a Ph.D. from the University of California, Berkeley (1977). His research focuses on differential geometry and dynamical systems, with notable contributions to equivariant geometry, tensegrity structures, and computational tools for dynamical systems analysis. His work bridges pure mathematics with applications in structural engineering and computer modeling. Research interests emphasize geometric equations, symmetry groups, and the interplay between topology and geometry. His publications span foundational studies in Riemannian geometry, dynamical systems software development (e.g., dstool), and structural stability analysis. No specific academic awards are listed, though his contributions to undergraduate and graduate mathematics education at Cornell are highlighted through departmental programs. His advising record is not detailed here, and no specific grants are noted. Allen has been involved in academic outreach programs like the Math Explorers' Club and the Family Mathematics Program, fostering STEM engagement at K-12 levels.

Søren Skjensvold Sørensenمشاهده پروفایل

دانشیار

• Architecture
• Augmented Reality
• Performance-oriented Design
• +۴ مورد دیگر

Søren Skjensvold Sørensen is an Associate Professor at the Department of Architecture , Oslo School of Architecture and Design. His research focuses on performance-oriented architecture , augmented reality applications , and data-driven computational design for sustainable and innovative architectural solutions. Specializes in integrating computational modeling with tectonic principles Collaborates with Michael U. Hensel on tensegrity systems and non-standard architectures Develops augmented reality tools for architectural and industrial applications His work emphasizes practice-oriented research by design , with publications spanning topics like: Computational visualization for complex systems Embedded architectures in natural and heritage contexts Rapid prototyping for everyday construction Architectural representation through digital technologies

Suiping Zhouمشاهده پروفایل

استاد

• Distributed Virtual Environments (DVEs)
• Parallel and Distributed Systems
• Human Behavior Modeling
• +۵ مورد دیگر

Suiping Zhou is a Professor at the School of Science and Technology, Middlesex University. He previously held academic positions at Teesside University (UK) and Nanyang Technological University (Singapore). He earned his B.Eng., M.Eng., and Ph.D. in Automatic Control from Beijing University of Aeronautics and Astronautics, followed by engineering experience at Beijing Simulation Center and a postdoctoral fellowship at the Weizmann Institute of Science (Israel). Research Focus: Large-scale distributed interactive applications (e.g., MMOGs), parallel/distributed systems, and human behavior representation in modeling and simulation. Key Contributions: Over 100 peer-reviewed publications on topics including QoS optimization, crowd simulation, distributed virtual environments, and agent-based modeling. Technical Expertise: OpenFlow, genetic programming, convolutional neural networks, and simulation consistency models. His work bridges theoretical modeling with practical applications in virtual environments and networked systems.

Mathias Schmidtمشاهده پروفایل

مدرس

• Structural Engineering
• Lightweight Construction
• Building Economics
• +۲ مورد دیگر

Mathias Schmidt is a Lecturer at the Faculty of Interior Architecture, Architecture and Design (IAD), Technische Hochschule Rosenheim, specializing in Structural Engineering and Building Economics. He teaches courses in structural engineering, building construction basics, wood technology, and a specialized elective module on tensegrity structures. As a member of the Faculty Board, he contributes to academic governance and curriculum development. His research interests focus on sustainable construction methodologies, including lightweight structural systems, economic efficiency in building design, and innovative applications of wood and tensegrity principles in architecture. His work bridges technical engineering rigor with practical design solutions. He maintains office hours by appointment at Campus Rosenheim (Room E 1.07), where he supports students in structural design projects and building economics applications.

Cornel Sultanمشاهده پروفایل

استاد

• Tensegrity Structures
• Rotorcraft Modeling and Control
• Planning and Coordination
• +۳ مورد دیگر

Cornel Sultan is a Professor in the Department of Aerospace & Ocean Engineering at Virginia Tech. His research focuses on Tensegrity Structures, Rotorcraft Modeling and Control, and Energy Harvesting. He earned his Ph.D. in Aerospace Engineering from Purdue University. Sultan has advised numerous Ph.D. students, with recent graduates contributing to academia and industry. He holds awards including AIAA Associate Fellow (2017) and Fellow of Virginia Tech’s College of Engineering (2016). Education: Ph.D., M.S. (Applied Mathematics) from Purdue University; B.S./M.S. from Polytechnic University, Romania. Research Interests: Tensegrity Structures (prestressable, dynamics, membrane integration); Rotorcraft Control (helicopter models, shipboard operations); Energy Harvesting (ocean current turbines, vibration energy). Key publications include works on tensegrity deployment, helicopter control algorithms, and ocean energy systems. His work spans theoretical mechanics, control theory, and applied engineering solutions. Professional Contributions: Technical chairs for AIAA conferences (2015-2016), member of AIAA Guidance, Navigation, and Control Technical Committee. Grants supported by NSF and ONR, focusing on hydrokinetic power systems and structural dynamics. Labs/Teams: Active in Virginia Tech’s aerospace robotics and autonomous systems research, collaborating on projects like ocean current turbine arrays and tensegrity-based robotics.

Maani Ghaffariمشاهده پروفایل

استادیار

• Robotics
• Autonomous Systems
• Applied Mathematics
• +۷ مورد دیگر

Maani Ghaffari is an Assistant Professor in the Department of Naval Architecture and Marine Engineering and Robotics at the University of Michigan. His work focuses on robotics, autonomous systems, and the integration of applied mathematics with machine learning. He leads the Computational Autonomy and Robotics Laboratory, advancing research in sensor fusion, state estimation, and geometric control. Ghaffari teaches courses such as NA/EECS 568: Mobile Robotics and ROB 101: Computational Linear Algebra . His research interests include robotic perception, planning under uncertainty, and invariant filtering techniques for navigation systems. He has developed frameworks like GPS-DRIFT for marine robotics and contributed to SLAM algorithms for surgical and underwater applications. Ghaffari's work emphasizes robustness in dynamic environments, leveraging Lie algebraic methods and equivariant neural networks. Notable contributions include correspondence-free point cloud registration, Bayesian semantic mapping, and energy-based terrain modeling for legged robots. His research bridges theory and practice, with applications in surgery navigation, autonomous vehicles, and industrial anomaly detection.

Salih Abdelazizمشاهده پروفایل

استادیار

• Robotics
• Mechanical Engineering
• Control Systems
• +۵ مورد دیگر

Salih Abdelaziz is an Assistant Professor at the University of Montpellier and a Researcher at CNRS-LIRMM (Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier). His work focuses on robotics, compliant mechanisms, and control systems. Role: Assistant Professor Institution: University of Montpellier Lab: LIRMM His research interests include: Compliant continuum robots with improved stiffness Kinetostatic analysis and soft tensegrities Energy methods for modeling bistable mechanisms Nonlinear control strategies for tensegrity systems Contact details: Email: salih.abdelaziz@lirmm.fr Phone: +33 4 67 41 85 57 Address: CNRS-LIRMM/University of Montpellier, Bat 4, 161 rue ADA, Cedex 5 Montpellier, FRANCE 34095

• Structural Engineering
• Control Systems
• Vibration Mitigation
• +۴ مورد دیگر

Mohammad Miah is a researcher and academic affiliated with TU Graz since 2021, holding the position of Universitätsassistent mit Doktorat. He completed his doctoral studies at ETH Zurich, where his thesis focused on semi-active control of magnetorheological (MR) dampers using system identification methods. His research expertise lies in structural engineering, vibration mitigation, and smart materials, particularly in the design and application of semi-active control strategies for civil structures under dynamic loads like seismic or wind forces. He has contributed to advancing methodologies involving sliding mode control (SMC), Kalman filters, and Bouc-Wen modeling for system identification and damping system optimization. Miah has published extensively in journals like Structural Control and Health Monitoring and Smart Materials and Structures , and presented at international conferences. His teaching experience includes courses on finite element methods and structural analysis at ETH Zurich. Professional memberships include the Institute of Engineers Bangladesh, American Concrete Institute, and American Society of Civil Engineers.

Dimitris Lagoudasمشاهده پروفایل

استاد

• Shape Memory Alloys
• Smart Materials
• Metamaterials
• +۵ مورد دیگر

Dimitris Lagoudas is a Professor in the Departments of Aerospace Engineering and Materials Science & Engineering at Texas A&M University, holding the Robert C. “Bud” Hagner Chair of Engineering and the title of University Distinguished Professor. His research focuses on smart materials, including shape memory alloys (SMAs), metamaterials, additive manufacturing, and structural batteries. He has pioneered work in active origami structures, functional fatigue of materials, and the design of multifunctional materials for aerospace and energy applications. Education: Postdoctoral studies in Theoretical and Applied Physics/Mechanics at Cornell University and the Max Planck Institute (1986–88); PhD in Applied Mathematics from Lehigh University (1986); Diploma in Mechanical Engineering from Aristotle University of Thessaloniki (1982). Research interests span SMA constitutive modeling, metamaterial bandgap engineering, and additive manufacturing of functional materials. His work emphasizes material behavior under extreme conditions, fatigue analysis, and integration of structural and energy functions in materials systems. Key contributions include the development of predictive models for SMA actuators, design frameworks for adaptive structures, and advancements in structural supercapacitors. His publications reflect interdisciplinary approaches combining mechanics, materials science, and data-driven methods. Scientific awards include the SPIE Smart Structures Lifetime Achievement Award (2012) and the ASME Adaptive Structures Prize (2006). His research has been supported by grants focusing on materials discovery, multifunctional systems, and aerospace applications. Advising and grants: While no student names are listed here, his work involves collaborative projects with industry and federal agencies. His labs focus on experimental and computational studies of advanced materials, with applications ranging from morphing aerospace systems to energy storage technologies.

Manoranjan Majjiمشاهده پروفایل

استاد

• Aerospace Robotics
• Autonomous Systems
• Structural Systems
• +۳ مورد دیگر

Manoranjan Majji is a Professor of Aerospace Engineering and the Edward 'Pete' Aldridge '60 Endowed Professor at Texas A&M University's College of Engineering. He directs the LASR (Land, Air, and Space Robotics) Laboratory, focusing on advanced robotics and aerospace systems. His research spans structural systems, computational vision, astronautics, and autonomous robotics. Majji holds a Ph.D., M.S., and B.E. in Aerospace and Mechanical Engineering, with affiliations to NASA, AFRL, NSF, DoD, and ONR. His work integrates robotics, astrodynamics, and sensor systems for applications like space domain awareness and autonomous spacecraft operations. Research interests include astronautics, spacecraft proximity operations, tensegrity structures, and sensor fusion. The LASR Lab features an indoor robotics arena, fabrication facilities, and advanced simulation tools. Majji's educational background includes degrees from Texas A&M (Ph.D. 2009, M.S. 2006) and the Birla Institute of Technology and Science (B.E. 2003). Notable awards include the 2014-2015 Milton Plesur Teaching Award and the 2016 Young Investigator Award. Publications emphasize optimal control, state estimation, and robotic navigation. Ongoing projects involve in-space assembly, lunar electromagnetic launching, and safety-critical spacecraft control. The LASR Lab collaborates with federal agencies to advance robotics for space exploration and defense applications.

• Structural and Seismic Monitoring
• Earthquake Engineering
• Numerical Modeling and Simulation
• +۲ مورد دیگر

Linda Scussolini is a PhD Student in Civil and Environmental Engineering at the Polytechnic of Turin, Department of Structural, Building and Geotechnical Engineering (DISEG), currently in her 38th cycle (2022-2025). She also serves as an External lecturer and teaching assistant for Earthquake Engineering courses. Education: BSc in Building Engineering (2019) from the Polytechnic of Turin MSc in Civil Engineering with honors (2021) from the Polytechnic of Turin, specializing in structures and infrastructures Linda's research focuses on Structural and Seismic Monitoring , Earthquake Engineering , and Numerical Modeling and Simulation . Her PhD research involves nonlinear modeling and calibration of virtual simulators, specifically developing efficient tools for dynamic identification of highly nonlinear systems such as those composed of interacting bodies. Her MSc thesis, conducted with the Technical University of Vienna, examined tensegrity structures with geometric nonlinearities. Her publication record demonstrates expertise in structural health monitoring, with emphasis on Volterra system identification, damage detection methodologies, and satellite data applications. She integrates advanced signal processing techniques with machine learning approaches to address complex structural dynamics challenges in civil infrastructure. Linda has served as a Course Collaborator for Earthquake Engineering across multiple academic years: 2023/24: Earthquake Engineering for Civil Engineering 2024/25: Earthquake Engineering for Civil Engineering 2025/26: Earthquake Engineering for Civil Engineering

Hossein Salahshoorمشاهده پروفایل

استادیار

• Computational Mechanics
• Data-Driven Methods
• Biomechanics
• +۴ مورد دیگر

Hossein Salahshoor is an Assistant Professor of Civil and Environmental Engineering and holds a joint appointment in the Thomas Lord Department of Mechanical Engineering and Materials Science at Duke University's Pratt School of Engineering. He is also a Faculty Network Member of the Duke Institute for Brain Sciences. Education: Ph.D. in Aerospace Engineering (Georgia Tech, 2018), M.S. in Mathematics (Georgia Tech), B.Sc. in Civil Engineering (University of Tehran) His research focuses on computational mechanics and data-driven modeling of complex material systems, with applications in brain mechanics, bio-inspired materials, metamaterials, and sustainability. Current projects include ultrasound neuromodulation studies, gas vesicle mechanics, and predictive modeling of viscoelastic materials. Recent publications highlight innovations in model-free data-driven computing , ultrasound-brain interaction , and metamaterial design , reflecting interdisciplinary work at the intersection of mechanics, applied math, and biology. He leads the Salahshoor Lab, which emphasizes multiscale modeling and experimental collaboration. He actively mentors students in computational mechanics and teaches graduate courses in continuum mechanics, composite materials, and advanced topics in CEE/ME. Lab news includes hiring announcements and participation in Duke's green materials initiatives.