جست‌وجوی استاد و پژوهشگر

• Control Theory
• Machine Learning
• Nonlinear Estimation
• +۶ مورد دیگر

Prashant Mehta is a Professor of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign , affiliated with the Coordinated Science Laboratory . His research focuses on controlled interacting particle systems and machine learning applications , particularly in human activity recognition using motion sensors. Education: Ph.D. in Mathematics, Cornell University (2004) M.S. in Electrical & Computer Engineering, University of Massachusetts Amherst (1996) B.E. in Electrical & Electronics Engineering, Birla Institute of Technology & Sciences (1993) Mehta's work has pioneered the feedback particle filter (FPF) algorithm for nonlinear estimation, applied in robotic systems and gesture recognition. His research spans control of combustion instabilities in jet engines, mean-field games , and dynamical systems in aerospace engineering. His publications emphasize nonlinear control theory and stochastic filtering , with recent trends in sensor data pattern recognition and cyber-physical systems . He has received multiple scientific awards , including the MURI award for the Cyberoctopus project and Excellence in Undergraduate Advising Awards . Scientific Honors: MURI Award (2019) for Cyberoctopus Excellence in Undergraduate Advising (2010, 2008) Outstanding Teaching Assistant Award (1994) Senior Member, IEEE Control Systems Society Member, ASME Energy Systems Subcommittee Member, SIAM Dynamical Systems Group Mehta has supervised students like Jin Kim (IEEE CDC Best Student Paper, 2019) and co-founded the startup Rithmio , acquired by Bosch Sensortec . His laboratory develops gesture-detection filters for applications in soft robotics and human-machine interfaces .

Casey Rodriguezمشاهده پروفایل

استادیار

• Partial Differential Equations
• Mathematical Physics
• Continuum Mechanics
• +۳ مورد دیگر

Casey Rodriguez is an Assistant Professor in the Department of Mathematics at the University of North Carolina at Chapel Hill. His academic career includes prior roles as a CLE Moore Instructor and NSF Postdoctoral Scholar at MIT. He holds a Ph.D. in Mathematics from the University of Chicago, advised by Carlos E. Kenig, and advanced his research collaboration with Gigliola Staffilani during his postdoctoral tenure. Fields of Interest: Partial Differential Equations, Mathematical Physics, Continuum Mechanics Email: crodrig@email.unc.edu Research Focus: His work centers on theoretical and mathematical advancements in continuum mechanics, particularly non-classical models like Cosserat rods and gradient continua. These frameworks extend traditional elastic and viscoelastic theories to model complex phenomena such as fracture mechanics and multi-mode deformations in thin rods through geometric and analytical approaches. Scientific Awards: NSF Postdoctoral Scholar CLE Moore Instructor Grants: He serves as Principal Investigator on NSF grant DMS-2307562 and co-PI on NSF RTG grant DMS-2135998.

• Soft Robotics
• Artificial Muscles
• Robotics
• +۳ مورد دیگر

Jiefeng Sun serves as Assistant Professor in the Department of Aerospace and Mechanical Engineering within Arizona State University's School for Engineering of Matter, Transport and Energy. His research program centers on designing artificial-muscle-driven robots that replicate biological adaptivity through advanced modeling and control systems. His academic credentials include: Ph.D. in Robotics and Control from Colorado State University (2022) M.S. in Mechanical Engineering from Dalian University of Technology (2017) B.S. in Mechanical Engineering from Lanzhou University of Technology (2014) Dr. Sun's research integrates soft robotics, artificial muscles, and adaptive control to create morphologically intelligent systems. His work spans aerial robotics, wearable exoskeletons, and biomimetic locomotion, with emphasis on shape-changing mechanisms and energy-efficient actuation that enables robots to operate in unstructured environments. Analysis of his recent publications reveals dominant themes in twisted-and-coiled actuators, tensegrity structures, and physics-informed control methods. Key trends include variable-stiffness systems for wearable devices, data-efficient simulation techniques using Koopman operators, and bistable mechanisms for aerial grasping applications. His research excellence has been recognized through: Finalist for Best Student Paper Award at IEEE/RSJ IROS 2018 Reviewer of the Year 2021 for Smart Materials and Structures Journal 2022 DARPA Riser designation Dr. Sun actively recruits graduate students for robotics research and has secured significant funding including DARPA support. He teaches core courses including System Dynamics and Control I (MAE 318) while supervising thesis research and applied projects through MAE 599 and MAE 792. He directs the Sun Robotics Lab (https://sunroboticslab.github.io), which collaborates across biomechanics, materials science, and control theory to develop next-generation adaptive robotic systems with applications in healthcare, exploration, and human augmentation.

• Surgical Robotics
• Minimally Invasive Surgery
• Continuum Robots
• +۴ مورد دیگر

Benoit Rosa is currently a CNRS Researcher within the Robotics, Data science, and Healthcare technologies Team at the ICube Laboratory, University of Strasbourg. Previously, he was a Research Fellow at the Pediatric Cardiac Bioengineering Lab, Boston Children's Hospital, Harvard Medical School (2015-2016), and a postdoctoral fellow in the Robot Assisted Surgery group at the Mechanical Engineering department of KU Leuven, Belgium (2013-2015). He received his Ph.D. in 2013 from Pierre & Marie Curie University (now Sorbonne University) under the supervision of Pr. Guillaume Morel and Pr. Jerome Szewczyk. His PhD was awarded the best PhD thesis award by the CNRS research group on robotics for 2013. Prior to his PhD, he obtained an Engineering Degree (equivalent to a Master's) from Ecole Centrale Paris. Rosa's research focuses on surgical robotics and image-guided control, with particular expertise in the design and control of miniature, distally-actuated and flexible systems for minimally invasive surgery. His work spans from mechatronic design of minimally invasive surgical devices to advanced control algorithms for surgical robots. Key areas include continuum robotics, visual servo control, surgical tool segmentation, and OCT-guided interventions. His research has significant applications in cardiac surgery, endomicroscopy, and various minimally invasive procedures, with a strong emphasis on translating theoretical robotics into practical clinical solutions. His recent publications demonstrate a growing trend toward applying deep learning techniques to enhance surgical robotics, with focus on autonomous systems that improve precision and reduce surgeon cognitive load while addressing challenges in medical imaging and surgical navigation. Scientific Awards: Best PhD thesis award by the CNRS research group on robotics (2013) Rosa has led multiple significant research projects including Image-based tracking of continuum robots (ongoing), Robot-assisted endomicroscopy (2010-2013), Beating heart intracardiac cardioscopy-guided interventions (2015-2019), and Intuitive control of active catheters (2014-2015). His work has resulted in numerous patents and collaborations with leading medical institutions worldwide, securing research funding for advancing surgical robotics technology. He actively participates in the academic community through invited talks and workshops, and maintains strong collaborations with institutions including Harvard Medical School, KU Leuven, and various French research entities, bridging theoretical robotics with practical clinical applications across multiple medical specialties.

Venanzio Cichellaمشاهده پروفایل

استادیار

• Control Systems
• Robotics
• Autonomous Vehicles
• +۳ مورد دیگر

Venanzio Cichella serves as an Assistant Professor in the Department of Mechanical Engineering at the University of Iowa, specializing in advanced control systems and robotics research with applications spanning autonomous aerial vehicles, underwater systems, and soft robotics. His research portfolio prominently features Control Systems , Robotics , Autonomous Vehicles , Soft Robotics , Motion Planning , and Optimal Control . He develops theoretical frameworks for collision avoidance, coordinated path following, and motion planning, frequently employing Bernstein polynomials and Cosserat rod theory to address scalability challenges in multi-agent systems. His work on twisted and coiled artificial muscles (TCAMs) enables biomimetic soft robotic systems for underwater manipulation and rehabilitation applications. Analysis of his 2023-2025 publications reveals three dominant research threads: (1) Vision-based collision avoidance algorithms for intermittent measurement scenarios, (2) Physics-based modeling of TCAM-actuated soft robots using continuum mechanics, and (3) Bernstein polynomial-optimized trajectory generation for autonomous vehicles. These threads consistently bridge theoretical control innovations with practical implementations in UAV coordination, submarine maneuvering, and octopus-inspired robotics, demonstrating strong emphasis on environmental adaptation and computational efficiency.

Charles Wangمشاهده پروفایل

عضو هیئت علمی

• General Relativity
• Quantum Gravity
• Modified Gravity
• +۱۳ مورد دیگر

Dr. Charles Wang is a Reader in the Department of Physics at the University of Aberdeen, within the School of Natural and Computing Sciences. He has held this position since 2005 and is also an Honorary Cruickshank Lecturer in Astronomy at the same institution. His academic journey began with a BSc in Physics from National Taiwan University, followed by a Certificate of Advanced Study in Mathematics from Cambridge, and culminated in a PhD in Mathematical Physics from Lancaster University. Education: BSc (National Taiwan University), CASM (Cambridge), PhD (Lancaster) Current Position: Reader, Department of Physics, University of Aberdeen Additional Role: Honorary Cruickshank Lecturer in Astronomy Dr. Wang's research lies at the intersection of theoretical physics and experimental gravity, focusing on general relativity, quantum gravity, modified gravity, astrophysics, and cosmology. He is a pioneer in quantum gravity phenomenology, particularly through atom interferometry techniques. His work extends into applied mathematics, including differential geometry, Clifford algebra, and the Cosserat theory of rods. He actively collaborates with industry and research institutions on quantum sensing, gravity gradiometry, and precision measurement applications. His recent publications reveal a strong trajectory in quantum aspects of gravity, including Unruh radiation, gravitational decoherence, quantum sensing of spacetime fluctuations, and loop quantum gravity formulations. These works are published in high-impact journals such as Physical Review D, Classical and Quantum Gravity, and the European Physical Journal C. Scientific honors include being a Fellow of the STFC Centre for Fundamental Physics. He has secured significant research funding from sources like MoD/Dstl, EPSRC, UKSA, and BP for projects related to quantum gravity experiments and gravity sensing technologies. STFC Centre for Fundamental Physics Fellow Dr. Wang has supervised PhD students and contributed to major international collaborations such as STE-QUEST (ESA mission candidate), GG-TOP (with Birmingham), and CERN-related supernova research. He has also served in professional roles including Grampian Regional Organiser for the Institute of Physics in Scotland and as a Series Editor for Springer Briefs in Physics. He is affiliated with research groups including the Plasma Science Research Group (PSRG) and contributes to interdisciplinary initiatives such as the Advanced Centre for Energy and Sustainability (ACES).

• Robotics
• Control Systems
• Kinematics
• +۵ مورد دیگر

Shivesh Kumar is an Assistant Professor in the Dynamics Division of the Department of Mechanics and Maritime Sciences at Chalmers University of Technology. He also holds a part-time Senior Researcher position at the Robotics Innovation Center, German Research Center for Artificial Intelligence (DFKI) in Bremen, Germany. Assistant Professor at Chalmers Part-Time Senior Researcher at DFKI Co-Chair, IEEE-RAS Technical Committee on Model-Based Optimization for Robotics His research focuses on robotics , particularly in kinematics, dynamics, and control systems for developing animal-like physical/athletic intelligence in robots. Key areas include underactuated robotics, control algorithm benchmarking, and human-robot interaction. Recent publications (2023-2024) highlight work on: Parkour control for monoped hoppers Reinforcement learning for robotic athleticism Energy-efficient brachiation robots Robust co-design of underactuated systems His projects involve collaborations with Wallenberg AI, Autonomous Systems and Software Program and Chalmers' digitalization initiatives. He maintains advisory relationships with the Advanced AI Team: Team Mechanics & Control and Underactuated Robotics Lab at DFKI. Contact: shivesh.kumar@chalmers.se

Timothy J. Healeyمشاهده پروفایل

استاد

• Applied Mathematics
• Partial Differential Equations
• Nonlinear Elasticity
• +۳ مورد دیگر

Timothy J. Healey is a Professor of Mathematics at Cornell University, affiliated with the College of Arts and Sciences. He holds a Ph.D. from the University of Illinois (1985). His research focuses on applied analysis, partial differential equations, and mathematical continuum mechanics, particularly in nonlinear elasticity and solid mechanics. He explores existence results, bifurcation phenomena, and computational methods, with applications to elastic structures and materials. Education: Ph.D. in Mathematics, University of Illinois (1985) Research interests include the analysis of nonlinear elasticity, wrinkling in elastic sheets, bifurcation theory, and symmetry-breaking phenomena. His work combines mechanics-based modeling, mathematical analysis, and computation to address open questions in solid mechanics. Recent articles focus on fracture mechanics, energy-minimizing configurations, and group-theoretic bifurcation analysis. Teaching includes courses such as MATH 1910 (Calculus for Engineers), MATH 3270 (Differential Equations), and advanced research supervision through MATH 4900/4901. He has contributed to numerous collaborative projects with students and co-workers, advancing understanding in complex elastic systems.

Marin MARINمشاهده پروفایل

استاد

• Optimal Control
• Thermoelasticity
• Microstructure Analysis
• +۳ مورد دیگر

Marin MARIN is a Professor at the Department of Mathematics and Computer Science , part of the Faculty of Mathematics and Computer Science at the Technical University of Banat. His research focuses on advanced mathematical modeling in thermoelasticity, optimal control, and microstructure analysis, with a particular emphasis on fractional calculus and nonlocal effects in materials. He has contributed extensively to topics such as Cosserat bodies, porous media, and viscoelastic systems. Key research interests include the development of novel mathematical frameworks for analyzing thermal and mechanical interactions in complex materials, including functionally graded materials, nanobeams, and porous structures. His work often integrates advanced numerical methods and fractional-order models to address challenges in heat transfer, wave propagation, and structural stability. Marin’s publications span high-impact journals such as Continuum Mechanics and Thermodynamics and Acta Mechanica , with a focus on boundary value problems, variational principles, and the application of multi-phase-lag models. His research bridges theoretical mechanics with practical engineering applications, particularly in semiconductor materials and composite systems. Despite his prolific output, no specific academic awards or student advisement details are explicitly mentioned in the provided text. His work continues to explore interdisciplinary challenges at the intersection of mathematics, materials science, and mechanical engineering.

Dorin Ieşanمشاهده پروفایل

استاد

• Continuum Mechanics
• Elasticity Theory
• Thermoelasticity
• +۳ مورد دیگر

Dorin Ieşan is a Professor at the Department of Mathematics, Faculty of Mathematics, Alexandru Ioan Cuza University in Iaşi, Romania. Born on April 8, 1941 in Rădăuţi, he graduated from the Mathematics-Mechanics Faculty of Alexandru Ioan Cuza University in 1963 and has remained affiliated with the institution throughout his career. His academic progression includes preparator (1963-1965), assistant (1965-1968), lecturer (1968-1975), associate professor (1975-1981), and Professor (1981-present). He holds a PhD in Mathematics (1969) and is a Corresponding Member of the Romanian Academy. Educational Background: Graduated Mathematics-Mechanics Faculty, Alexandru Ioan Cuza University (1963) PhD in Mathematics (1969) Professor Ieşan's research focuses on the mathematical study of deformable solids mechanics, with particular expertise in elasticity theory, thermoelasticity, and micropolar media. His work bridges theoretical mathematics with mechanical engineering applications, emphasizing rigorous mathematical formulations of physical phenomena in continuous media. His publication record shows consistent output through 2017, with recent work concentrating on chiral materials, strain gradient theories, and porous elastic solids. The research demonstrates evolving complexity from classical elasticity to advanced theories incorporating microstructure, thermal effects, and chiral properties. Key trends include increasing focus on non-classical elastic solids, coupled physical phenomena, and mathematical modeling of complex material behaviors. Scientific Recognition: Simion Stoilow Prize of the Romanian Academy (1974) Corresponding Member of the Romanian Academy Editorial Board, Journal of Thermal Stresses Professor Ieşan has maintained extensive international collaborations, presenting lectures and conferences at institutions including Royal Institute of Technology (Stockholm), University of Catania, University of Rome "La Sapienza," and others across Europe. His work has influenced both theoretical developments and practical applications in solid mechanics, particularly in thermoelasticity and microstructure modeling. He has supervised numerous students and contributed to the advancement of mechanical engineering education through university courses and textbooks.

• Computer Graphics
• Virtual Reality
• Augmented Reality
• +۹ مورد دیگر

Anderson Maciel is an Associate Professor at the Technical Superior Institute (Instituto Superior Técnico) of the University of Lisbon, holding a position in the Department of Computer Engineering. He is also affiliated with the Instituto de Engenharia de Sistemas e Computadores: Investigação e Desenvolvimento em Lisboa (INESC-ID). His academic work focuses on the intersection of computer graphics, virtual reality, and medical applications, with particular emphasis on surgical simulation and visualization. Dr. Maciel's research spans several key areas including virtual reality for medical training, augmented reality applications in surgery, haptic interfaces, and 3D visualization techniques. His work often bridges computer science with practical medical applications, particularly in colonoscopy simulation, radiology, and surgical training systems. He leads research projects such as XAVIER (eXplainable Artificial intelligence and VIrtual reality for Enhanced Radiology), RECOVERS (REmote COllaboration in Virtual EnviRonments for Surgery), and VR Colonography, demonstrating his focus on applying immersive technologies to healthcare challenges. His recent publications (2023-2024) reveal a strong trend toward medical applications of extended reality, with significant work in virtual colonoscopy, surgical simulation, and AI-enhanced radiology. The research shows increasing integration of eye-tracking data with AI systems for medical diagnostics, alongside continued development of physics-based simulation techniques for medical procedures. His work consistently appears in top-tier venues including Computers & Graphics, IEEE VR, and ACM SIGGRAPH. Dr. Maciel leads the Visualization, Interaction and Simulation Lab, which collaborates with institutions like UFRGS (Universidade Federal do Rio Grande do Sul) in Brazil. His research has practical applications in medical training, surgical planning, and healthcare education, with several projects translating into patentable technologies such as the intervention drive system comprising an umbilical (US Patent 11,920,722).

Stanislao Graziosoمشاهده پروفایل

استادیار

• Soft Robotics
• Nonlinear Modeling
• Bio-inspired Design
• +۴ مورد دیگر

Stanislao Grazioso serves as Assistant Professor in the Department of Industrial Engineering at the University of Naples Federico II (UNINA), where he leads the BIOIC (Bioinspired soft robotic systems for cognitive production) project. His work focuses on transforming manufacturing through soft robotic technologies, with expertise spanning design, modeling, and control of compliant robotic systems for industrial and biomedical applications. Education: Bachelor of Science in Mechanical Engineering, University of Naples Federico II Master of Science in Mechanical Engineering, University of Naples Federico II Ph.D. in Industrial Engineering, University of Naples Federico II (2018), specializing in soft robotics Research Focus: Dr. Grazioso investigates the entire soft robot development lifecycle, emphasizing innovative design concepts for variable-stiffness actuators, advanced modeling using Cosserat rod theory and finite element methods, and human-robot interaction for safe collaboration. His research platforms include soft grippers for agrifood automation, continuum manipulators for confined spaces, and exoskeletons for industrial assistance. Key applications target nuclear remote handling (DTT fusion reactor), biomechanical analysis, and cognitive manufacturing systems. Publication Trends (2022-2024): Recent work demonstrates accelerating innovation in soft growing robots for remote sensing, bioinspired grippers with embedded adhesion mechanisms, and wearable biomechanics for athlete monitoring. His publications bridge theoretical modeling (e.g., screw theory for continuum robots) with industrial implementation, particularly in fusion reactor maintenance and agrifood automation, reflecting strong technology transfer orientation. Project Leadership: As BIOIC project lead, he drives integration of biological principles into manufacturing robotics. His involvement in DTT remote handling and NEFERTARI projects highlights expertise in nuclear robotics, while collaborations with clinicians demonstrate commitment to medical applications like soft exoskeletons for rehabilitation. Current efforts focus on virtual reality integration for ergonomic workplace assessment and EMG-based wearable systems.

• Computer Graphics
• Physics-Based Simulation
• Fluid Dynamics
• +۳ مورد دیگر

Prof. Dr. Jan Bender holds a professorship in Computer Animation at RWTH Aachen University's College of Engineering. As a leading researcher in physics-based simulation methods, his work focuses on developing advanced numerical techniques for fluid dynamics, deformable solids, and multi-physics interactions through Smoothed Particle Hydrodynamics (SPH) and Finite Element Methods (FEM). Key Contributions: Invented PF-FLIP for two-phase flows, developed SymX symbolic framework for energy-based simulations, created STARK unified solver for robotics applications, and introduced implicit boundary handling for SPH Methodologies: Specializes in hybrid Eulerian/Lagrangian approaches, differentiable physics, adaptive discretization, and machine learning integration for simulation acceleration Research Impact: 2023 & 2024 Best Paper Awards in VMV and SCA conferences. His work enables billion-particle fluid simulations and realistic multi-body interactions for robotics, with applications in welding, thermal spraying, and soft robotics. Collaborations: Works extensively with robotics institutes (Gazebo Fluids extension) and materials science departments (TIG welding, thermal spray modeling). Maintains open-source code repositories for simulation frameworks.

Jochen Fröhlichمشاهده پروفایل

استاد

• Computational Fluid Dynamics (CFD)
• Fluid-Structure Interaction
• Turbulent Flow Modeling
• +۵ مورد دیگر

Jochen Fröhlich is a Professor at the Department of Fluid Mechanics, Technische Universität Dresden (TUD), College of Engineering. His research focuses on computational fluid dynamics (CFD), fluid-structure interaction, and multiphase flows. University: Technische Universität Dresden Department: Fluid Mechanics Academic Rank: Professor His recent work emphasizes large-eddy simulation (LES) , direct numerical simulation (DNS) , and turbulent flow analysis in systems like aquatic canopies, compressor cascades, and sediment transport. Key applications include industrial cleaning processes , bubble dynamics , and microfluidic particle migration . The 15 most recent publications highlight his expertise in fluid-structure interaction , collision modeling , and CDF-driven process optimization . Subfields span turbulent boundary layers , non-spherical particle dynamics , hydrodynamic drag prediction , and flexible structure simulations .

Giulio Giuseppe Giusteriمشاهده پروفایل

دانشیار

• Continuum Mechanics
• Quantum Mechanics
• Non-Newtonian Fluids
• +۵ مورد دیگر

Giulio Giuseppe Giusteri is an Associate Professor at the Department of Mathematics "Tullio Levi-Civita" at the University of Padua, Italy, where he conducts research at the intersection of mathematics, physics, and engineering. He serves as National Coordinator for the PRIN 2022 project "Mathematical models for viscoelastic biological matter" and leads a research group comprising postdoctoral scholars and PhD students. His research spans multiple areas of mathematical physics and continuum mechanics. His primary interests include: Non-Newtonian Fluids and Rheology of Dense Suspensions Open Quantum Systems and Quantum Transport Phenomena Mechanics of Deformable Solids and Rod Theory Mathematical Fluid Mechanics and Viscoelasticity Variational Analysis and Nonlinear Systems His recent publications (2022-2025) demonstrate a strong focus on developing mathematical frameworks for complex physical systems, with particular attention to viscoelastic materials, symmetry-preserving homogenization techniques, and multi-scale modeling approaches. His work often bridges theoretical development with practical applications in biological systems, energy transfer, and industrial processes. Professor Giusteri actively supervises PhD students and postdoctoral researchers, with current projects related to the PRIN 2022 initiative. He regularly presents his research at international conferences and workshops, maintaining active collaborations across multiple Italian institutions including Università Cattolica del Sacro Cuore and Politecnico di Milano. His research group offers opportunities for PhD and Master's thesis projects in his various research fields, with an emphasis on mathematical modeling of physical phenomena and interdisciplinary applications.