جست‌وجوی استاد و پژوهشگر

Corina Sanduمشاهده پروفایل

استاد

• Multibody Dynamics
• Vehicle Systems Engineering
• Terramechanics
• +۵ مورد دیگر

Corina Sandu is the Robert E. Hord Jr. Professor in the Department of Mechanical Engineering at Virginia Tech. She leads the Terramechanics, Multibody, and Vehicle Systems Laboratory, focusing on advanced modeling of multibody dynamics, vehicle-terrain interaction, and tire performance optimization. Her research integrates computational methods, experimental validation, and interdisciplinary approaches to address challenges in off-road mobility, autonomous systems, and vehicle dynamics. Dr. Sandu holds a Ph.D. (2000) and M.S. (1995) in Mechanical Engineering from the University of Iowa, complemented by an Engineering Diploma in Mechanics from the Bucharest Polytechnic Institute (1991). She serves as the President of the International Society for Terrain-Vehicle Systems and chairs the SAE Fellow Committee, underscoring her leadership in automotive and mechanical engineering fields. Her research interests span: Uncertainty quantification in multibody systems Optimization of vehicle dynamics and tire performance Terramechanics and terrain-vehicle interaction modeling Sensitivity analysis and adjoint methods for complex systems Recent publications highlight innovations in tire-ice interface models, hydroplaning risk estimation, and advanced multibody system simulation frameworks. She has pioneered experimental methodologies for tire performance evaluation on ice and soft soils, linking material science with mechanical engineering principles. Her work impacts automotive safety, off-road vehicle design, and autonomous systems, with applications in both industry and academia. Awards include recognition for her contributions to terrain-vehicle systems research and leadership in professional societies.

Dan Negrutمشاهده پروفایل

استاد

• Computer Modeling and Simulation
• Autonomous Vehicles
• High Performance Computing
• +۳ مورد دیگر

Professor Dan Negrut is a faculty member in the Department of Mechanical Engineering at the University of Wisconsin–Madison, affiliated with the College of Engineering. He holds the Mead Witter Foundation Chaired Professorship and is a recognized leader in high-performance computing and robotics simulation. Education: PhD in Mechanical Engineering, University of Iowa (1998) BS in Mechanical Engineering, Polytechnic Institute of Bucharest (1992) Research Interests: Computer modeling and simulation of robots and autonomous vehicles High-performance computing and GPU-accelerated algorithms Fluid-solid interaction and granular dynamics Terramechanics and extraterrestrial mobility Autonomous systems and sensor simulation Recent Contributions: His work focuses on advancing physics-based simulation tools like Project Chrono , which supports open-source frameworks for robotics, autonomous vehicles, and granular systems. Recent trends in his publications emphasize sim-to-real gap quantification, lunar rover mobility, and AI-driven digital twins. Awards: NSF CAREER Award (2009) NVIDIA CUDA Fellow (2010) LEED Scholar (2017) ASME Best Paper Awards (2017–2023) Advising & Grants: He advises graduate students in mechanical engineering and computer science, focusing on robotics and autonomous systems. His research is supported by federal grants and industry partnerships. Notable projects include the Synchrono platform for autonomous vehicle simulation and Chrono::Electronics for electro-mechanical systems. Labs & Teams: His team develops Project Chrono , an open-source simulation engine used globally for robotics, automotive, and aerospace applications. Collaborations span academia and industry to address challenges in autonomous systems and space exploration.

Yann Bezinمشاهده پروفایل

استاد

• Railway Engineering
• Vehicle Dynamics
• Contact Mechanics
• +۵ مورد دیگر

Yann Bezin is a Professor in the Department of Engineering at the School of Computing and Engineering, University of Huddersfield, where he serves as Head of Research at the Institute of Railway Research. His academic journey includes an honours degree in Mechanical Engineering from Manchester Metropolitan University and a PhD focused on integrating Flexible Track System Models within vehicle multibody dynamic software. His research spans: Railway dynamics and vehicle-track interaction Wheel-rail contact mechanics and degradation Track system design optimization Multibody simulation methodologies Railway infrastructure innovation Analysis of his recent publications reveals concentrated focus on railway switches and crossings, featuring advanced simulation techniques for dynamic force prediction, infrastructure cost modeling, and material fatigue analysis. His work consistently bridges theoretical mechanics with practical railway engineering challenges. Professor Bezin leads significant projects including CAPACITY4RAIL (EU infrastructure optimization), IN2RAIL (intelligent rail systems), DYNAFREIGHT (long freight train dynamics), and WRIST (rail welding innovations). He supervises PhD candidates and has established the Institute of Railway Research as a hub for railway dynamics expertise.

• Mechanical Engineering
• Multibody Dynamics
• Nonlinear Mechanics
• +۷ مورد دیگر

Shabana Ahmed is the Richard and Loan Hill Professor of Engineering at the University of Illinois at Chicago (UIC), affiliated with the Urban Transportation Center. Her expertise spans mechanical engineering, multibody dynamics, nonlinear mechanics, and computational mechanics, with a focus on vehicle systems analysis, railroad engineering, and soft robotics. She holds a prominent role in advancing geometrically accurate finite element methods and ANCF approaches for analyzing complex mechanical systems. Her research integrates theoretical mechanics with practical applications in transportation, robotics, and material science. Her work includes studies on railroad vehicle dynamics, soft material behavior, and thermal-elastic coupling in articulated systems. Notable contributions include developing numerical methods for analyzing gear systems, beam elements, and liquid sloshing problems. She also explores the application of Lagrangian principles and Frenet force analysis in performance evaluation of mechanical systems. Shabana Ahmed has published extensively on topics such as constrained large-displacement thermal analysis, nonlinear strain measures, and the mechanics of flexible robots. Her research bridges computational methods with real-world engineering challenges, emphasizing accuracy and practical implementation.

Donald L. Kunzمشاهده پروفایل

استاد

• Rotorcraft Dynamics
• Structural Dynamics
• Vibrations
• +۷ مورد دیگر

Dr. Donald L. Kunz is a Professor in the Department of Aeronautics and Astronautics at the Air Force Institute of Technology (AFIT), part of the Graduate School of Engineering and Management. He holds a PhD in Aerospace Engineering from the Georgia Institute of Technology and has extensive experience in both academic and military aerospace research environments. BS, Aerospace Engineering, Syracuse University, 1971 MS, Aerospace Engineering, Georgia Institute of Technology, 1972 PhD, Aerospace Engineering, Georgia Institute of Technology, 1976 Dr. Kunz’s research is centered on rotorcraft dynamics, structural dynamics, vibrations, aeroelasticity, multibody systems, smart structures, and computational structural mechanics . His work integrates advanced modeling and simulation techniques to solve complex problems in helicopter and tiltrotor systems. He has made significant contributions to understanding nonlinear vibrations, rotor fault detection, and active vibration control using smart materials. His recent publications show a strong trend in developing and applying high-fidelity computational models for rotorcraft components, with particular focus on vibration mitigation, dynamic balancing, and nonlinear structural behavior . The integration of numerical methods with experimental validation underscores his commitment to practical engineering solutions. Dr. Kunz has received numerous honors, including: Distinguished Service Award, AIAA (2006, 1998) Leadership Award, AIAA (2004) Gold Circle Award, American Helicopter Society (1999) NASA Tech Brief Award (1990) Multiple entries in Who's Who publications He has advised numerous graduate students through thesis research and collaborative projects, though specific names are not listed. His work has been supported by U.S. Air Force, NASA, and Army research programs. Dr. Kunz is also a licensed Professional Engineer in Virginia and maintains active affiliations with AIAA (Associate Fellow and Lifetime Member) and the American Helicopter Society (Lifetime Member). His research has contributed to major programs such as the Apache Longbow, CH-53E, and tiltrotor development, often involving experimental testbeds and simulation frameworks like GRASP (General Rotorcraft Aeromechanical Stability Program).

Giuseppe Quarantaمشاهده پروفایل

دانشیار

• Structural Monitoring and Control
• Sensing systems for structural monitoring
• Dynamic identification
• +۹ مورد دیگر

Giuseppe Quaranta is an Associate Professor in the Department of Structural and Geotechnical Engineering at Sapienza University of Rome, Faculty of Civil and Industrial Engineering. He is actively engaged in teaching Construction Techniques and Construction Process Management, and maintains regular office hours for students. His research focuses on structural monitoring, dynamic identification, seismic protection systems, and AI applications in civil engineering. Department: Department of Structural and Geotechnical Engineering Faculty: Faculty of Civil and Industrial Engineering Institution: Sapienza University of Rome Email: giuseppe.quaranta@uniroma1.it Dr. Quaranta's research interests span structural monitoring and control, sensing systems, dynamic identification, diagnostics of civil structures, passive vibration control devices, structural concrete, and the analysis and design of reinforced concrete and composite steel-concrete structures. His work integrates computational modeling, experimental validation, and data-driven approaches, particularly using artificial intelligence and machine learning for structural health monitoring and seismic assessment. He investigates energy harvesting using piezoelectric materials for powering wireless sensors in smart infrastructure. The recent publications of Dr. Quaranta demonstrate a strong trend toward energy-based seismic engineering, machine learning for structural performance prediction, nonlinear dynamics of isolation systems, and advanced modal identification techniques. His work combines theoretical modeling, numerical simulation, and experimental testing, with applications to bridges, buildings, and historical structures like the Leaning Tower of Pisa and the Colosseum. Dr. Quaranta is involved in the research project titled "Smart technologies and decision support tools for the assessment of deteriorating reinforced concrete infrastructures in seismic areas at territorial scale," which aligns with his expertise in corrosion hazard mapping, seismic resilience, and smart monitoring systems. While student advising is implied through research collaboration, specific names of advisees are not listed in the provided materials. Smart technologies and decision support tools for the assessment of deteriorating reinforced concrete infrastructures in seismic areas at territorial scale His research team conducts experimental and computational studies on structural systems, including dynamic monitoring of iconic structures such as the Leaning Tower of Pisa and the Colosseum. The lab focuses on developing and applying advanced signal processing techniques, nonlinear system identification methods, and AI-driven tools for structural health monitoring and seismic risk assessment.

Antonis Stylianouمشاهده پروفایل

دانشیار

• Computational Biomechanics
• Musculoskeletal Modeling
• Multibody Dynamics
• +۳ مورد دیگر

Antonis Stylianou is an Associate Professor in the Department of Mechanical Engineering at the University of Missouri - Kansas City (UMKC). He holds a Ph.D. in Mechanical Engineering from the University of Kansas (2004), along with multiple master's degrees in Mathematics (2012) and Mechanical Engineering (2000), and a B.S. in Mechanical Engineering (1998). His primary affiliation is within the School of Science and Engineering, where he focuses on computational biomechanics, musculoskeletal modeling, and multibody dynamics. Dr. Stylianou's research emphasizes Elbow joint mechanics and ligament deficiency modeling Virtual surgical simulators for pelvic surgery error prevention Pediatric knee anatomy and ACL injury risk analysis Musculoskeletal models of human motion Finite element analysis of cartilage contact pressures His work bridges computational methods with clinical applications, including developing tools for orthopedic surgeons and training paradigms for surgical techniques. Recent studies have explored surgeon kinematics during retropubic trocar insertion and posteromedial rotatory incongruity of the elbow. Teaching responsibilities include advanced dynamics, biomechanics, and experimental methods courses. His contributions underscore the integration of engineering principles with medical challenges, particularly in orthopedic and surgical contexts.

Mohammad Poursinaمشاهده پروفایل

دانشیار

• Dynamic Modeling and Simulation of Multibody Systems
• Robotics and Robotic Rehabilitation
• Artificial Intelligence and Control Systems
• +۴ مورد دیگر

Mohammad Poursina is an Associate Professor at the Department of Engineering Sciences , University of Agder, Norway. His research spans multibody dynamics , robotics , and celestial mechanics , with a focus on dynamic modeling, control systems, and biomechatronics. He has held prior academic roles at the University of Arizona and Rensselaer Polytechnic Institute. Ph.D. in Mechanical Engineering, Rensselaer Polytechnic Institute (2011) M.Sc. and B.Sc. in Mechanical Engineering, University of Tehran (2006, 2003) His work addresses complex systems through interdisciplinary approaches, including robotic rehabilitation , flexible manipulators , and molecular dynamics . Recent publications highlight advancements in trajectory optimization , VR/AR surgical training , and asteroid system modeling . He serves on the editorial boards of Multibody System Dynamics and Journal of Computational and Nonlinear Dynamics , and has organized ASME conference sessions. Key research groups: Artificial Intelligence, Biomechatronics, and Collaborative Robotics Projects: Reality-Connected Machine Simulation of Heavy Machinery (RealSim)

• Structural Mechatronics
• Rotor Dynamics
• Life Cycle Assessment (LCA)
• +۴ مورد دیگر

Eugenio Brusa is Full Professor of Mechanical and Aerospace Engineering at the Polytechnic University of Turin (Politecnico di Torino), where he also serves as Director of the Doctoral School (2018-2024) and Scientific Advisor for the strategic partnership with Danieli & C. Officine Meccaniche. Since obtaining his PhD in 1997, he has held academic roles in both Turin and the University of Udine, progressing from researcher to Associate Professor (2002) and then Full Professor (2013). Education PhD, Polytechnic University of Turin (1997) Degree in Aeronautical Engineering (Laurea), Polytechnic University of Turin (year not specified) Research Interests Professor Brusa’s expertise lies at the intersection of mechanical design , mechatronics , and systems engineering . His work encompasses: Structural mechatronics and smart materials, including MEMS-scale systems Rotor dynamics and bearing systems for aerospace, steel, and automotive applications Life-cycle assessment (LCA) and circular design methodologies Model-Based Systems Engineering (MBSE) for sustainable industrial products Digital-twin-driven design and predictive maintenance Recent Publications at a Glance Over the past five years Professor Brusa has co-authored more than 20 peer-reviewed articles and conference papers. The research trajectory shows a clear emphasis on sustainable aviation (fuel-cell aircraft thermal management), energy harvesting (piezoelectric and vibration-based systems), digital twins for ice-prediction and rotor monitoring, and circular-economy-oriented design through LCA integration. These works collectively advance greener industrial products and smarter mechatronic systems. Scientific Awards & Distinctions Premio Nazionale “A. Capocaccia” (1999) – awarded by AIAS (Italian Association for Stress Analysis) Member/Associate Editor, journals Energies (2020-2024) and Proceedings of the IMechE Part C (2020-2022) Scientific-committee roles in INCOSE Italy, ASME Italy Section (President 2014-2015), UNITE! European Alliance, ESCP Business School, and several IEEE/ECCOMAS conferences Doctoral Advising & Research Funding Currently supervising seven PhD candidates in Mechanical Engineering and Materials for Sustainability. Since 2018, as Director of the Doctoral School, he oversaw more than 200 doctoral students across disciplines. Active research contracts include: EU and regional projects on predictive maintenance (PRIME 2021-2022) Industrial contracts with Danieli & C. (2025-2028) on scrap-metal crushing & shearing machinery Ongoing partnerships on oil-film bearings for rolling mills, fatigue-life assessment of hydraulic-turbine shafts, and additive-manufacturing quality control Laboratories & Teams Founder or co-founder of four research laboratories: Mechatronics Laboratory (1993) Testing and Characterization of Rotating Systems Laboratory (1997) Industrial Systems Engineering & Design (ISED) Laboratory (2020) – current leader Ubiquitous and Pervasive Technologies Laboratory, University of Udine (2005)

• Mobile Robotics
• Autonomous Robotics
• Computer Vision
• +۴ مورد دیگر

António Fernando Macedo Ribeiro is an Associate Professor at the Department of Industrial Electronics within the School of Engineering at the University of Minho. He is also a Senior Researcher at the Algoritmi Research Center and a member of both the IE R&D Group and CAR R&D Lab. He graduated in Computer Science (1988), earned an MSc in Industrial Robotics (1992), and a PhD in Industrial Robotics and Advanced Manufacturing Technology (1995). His academic career includes roles as department director (2013-2016) and co-director of Algoritmi (2006-2010). He founded the Robotics Laboratory (LAR) at the University of Minho and the spin-off SAR (botnroll.com). His research focuses on mobile robotics , autonomous systems , computer vision , and industrial automation . He has led over 50 projects, including RoboParty (since 2007) and RoboCup participation (since 1999). His work spans robot localization , gesture recognition , and adaptive control . Recent publications highlight trends in autonomous navigation , deep learning for robotics, and human-robot interaction . Key subfields include hexapod locomotion, multi-agent systems, tactile sensing, and 3D recognition. He has organized over 30 events like RoboCup editions and RoboParty. He actively promotes robotics education for youth through TEDx talks, school visits, and robotics clubs.

Nick Morrisمشاهده پروفایل

دانشیار

• Tribology
• Lubrication Engineering
• Mechanical Engineering
• +۳ مورد دیگر

Dr. Nick Morris is a Reader in Surface and Lubrication Engineering with over 12 years of experience in powertrain dynamics and tribology. He specializes in tribo-dynamic simulations and experiments to address efficiency, wear, and NVH issues in automotive systems. His work focuses on bearing hydrodynamics, experimental tribology, clutch dynamics, and lubricant additives. He has published 66 papers, including 36 journal articles, and supervised 10 doctoral researchers in industry-funded projects. Education: BEng, PhD Research Interests: Morris’s research spans tribology, lubrication engineering, and automotive systems. Key areas include: Bearing and clutch tribodynamics Surface texturing for reduced friction Electrical discharge phenomena in e-motor bearings Lubricant additives and their interactions Publications: Recent work highlights include studies on electric vehicle powertrains, diamond-like carbon coatings, and hydrogen-fueled Wankel engines. His articles often integrate experimental and numerical methods to explore frictional interactions and material performance. Grants/Advising: Supervised 10 doctoral researchers and industry-funded projects. Active in editorial roles for Journal Lubricants and the Institution of Engineering and Technology’s Tribology Executive Committee. Labs/Teams: Member of the Dynamics and Tribology Research Group, focusing on advanced tribological systems.

• Robotics
• Rehabilitation Engineering
• Biomechanics
• +۴ مورد دیگر

Francesca Alvaro is a researcher in the Department of Mechanical, Energy and Management Engineering at the University of Calabria, Italy. Her work is situated within the College of Engineering, where she contributes to advanced research in robotics and biomechanical systems for medical applications. Her research focuses on robotics for upper limb neuromotor rehabilitation , leveraging multibody dynamics and digital twin technologies to model and optimize human-robot interaction in therapeutic settings. This includes developing and analyzing robotic devices that assist in patient recovery through precise biomechanical modeling and control strategies. The recent publications highlight a strong trend in rehabilitation engineering and human-centered robotics , particularly in the development of digital twins for personalized therapy and accurate parameter estimation of robotic rehabilitation systems. These efforts bridge mechanical engineering with clinical applications, emphasizing simulation, modeling, and system integration. Scientific Awards: No scientific awards listed in the provided text. Francesca Alvaro is involved with PhD researchers, indicating potential advisory or mentoring roles within her department. While no specific grants are mentioned, her research output suggests participation in projects related to assistive robotics and smart rehabilitation systems. She collaborates with researchers such as Rocco Adduci, Michele Perrelli, Francesco Tedesco, and Domenico Mundo, indicating active engagement in interdisciplinary teams. She is associated with research labs focused on mechanical systems and robotics within the Department of Mechanical, Energy and Management Engineering. These labs likely support the design, simulation, and testing of robotic rehabilitation platforms using multibody dynamics and real-time control frameworks.

Marco Rossiمشاهده پروفایل

دانشیار

• Mechanical Engineering
• Materials Science
• Plasticity
• +۹ مورد دیگر

Marco Rossi is an Associate Professor at Marche Polytechnic University in the College of Engineering , affiliated with the Department of Industrial Engineering and Mathematical Sciences . His research focuses on Mechanical Engineering and Materials Science , particularly the plasticity and fracture mechanics of sheet metals and additive manufacturing materials , utilizing advanced techniques like digital image correlation and inverse problems in computational mechanics . Scientific Sector: IIND-03/A - Mechanical Design and Machine Construction Contact: m.rossi@staff.univpm.it , via Brecce Bianche, Ancona, Italy His work emphasizes 3D anisotropic plasticity models , material calibration for sheet metal forming , and thermomechanical characterization of metals. Recent publications highlight applications of virtual fields method (VFM) and finite element model updating (FEMU) in optimizing experimental setups for additive manufacturing and high-strain testing . Key Research Areas: Mechanical Design Plasticity Modeling Digital Image Correlation Inverse Identification 3D Printing Material Behavior Tensegrity Structural Systems

• Digital Twin technology
• Mechatronic systems
• Robotics and automation
• +۳ مورد دیگر

Chiara Nezzi is a Research Assistant at the Faculty of Engineering , Free University of Bozen-Bolzano , operating from the NOI Techpark facility in Bolzano, Italy. Her work bridges academia and industry through applied research projects. Research Focus: Digital Twin technology, mechatronic systems, robotics, and computer vision in manufacturing. She explores kinematic modeling, energy efficiency in robotic operations, and sustainability in engineering education. Publication Trends: Recent work emphasizes real-time validation of industrial systems, hybrid simulation architectures, and educational applications of Digital Twin technology. Her studies often involve collaboration with South Tyrolean mechanical engineering companies. Advanced modeling for rail-guided shuttles and mesh welding plants Integration of eye-tracking in design evaluation processes Life cycle assessment of sustainable construction solutions

Rishad Iraniمشاهده پروفایل

دانشیار

• Marine Robotics
• Motion Compensation Systems
• Multibody Dynamics
• +۳ مورد دیگر

Dr. Rishad Irani is Associate Professor in Mechanical and Aerospace Engineering at Carleton University, specializing in mechatronic systems for marine applications. His research focuses on motion control and robotic systems for challenging maritime environments. Core research areas: Marine motion compensation Underwater vehicle launch/recovery Robotic machining precision Offshore crane control Current projects develop advanced control algorithms for shipboard crane systems and novel actuation methods for marine platforms, with industry partnerships including Rolls-Royce Marine.