جست‌وجوی استاد و پژوهشگر

Betsy Dayana Marcela Chaparro Ricoمشاهده پروفایل

مدرس

• Medical Robotics
• Assistive Robotics
• Service Robotics
• +۳ مورد دیگر

Dr. Betsy Dayana Marcela Chaparro Rico is a Lecturer in Robotics at Swansea University's School of Mathematics and Computer Science, within the Faculty of Science and Engineering. She holds a Bachelor's degree (Honours) in Electronic Engineering from Unisangil University (Colombia, 2011), a Master's (2014) and PhD (2018) in Advanced Technology from Mexico's National Polytechnic Institute, and a PhD in Civil, Mechanical, and Biomechanics Engineering from the University of Cassino (Italy). Her research focuses on Medical Robotics, Assistive Robotics, and Sensor Systems, with notable contributions to rehabilitation devices and AI-driven gait analysis. Education: BEng (Honours) in Electronic Engineering, Unisangil University, Colombia (2011) MSc in Advanced Technology, National Polytechnic Institute, Mexico (2014) PhD in Advanced Technology, National Polytechnic Institute, Mexico (2018) PhD in Civil, Mechanical, and Biomechanics Engineering, University of Cassino, Italy (2018) Research Interests: Dr. Chaparro Rico's work spans Medical Robotics (e.g., exoskeletons, rehabilitation devices), Assistive Robotics (patient-specific orthosis design), and Sensor Systems for healthcare applications. She emphasizes translating theory into practice, particularly in robotics education and real-world solutions. Grants & Collaborations: Developed robotic rehabilitation systems funded by the National Polytechnic Institute's SIP program (e.g., teleoperated robots for high-pressure cleaning, 2017). Collaborated with institutions like the Clinical Research Institute IRCCS Neuromed (2019–2022) and CICATA Unit, National Polytechnic Institute, Mexico. Labs & Teams: Affiliated with the Biomechatronics Lab at IRCCS Neuromed and contributed to the IDENTUS research group at Unisangil University. Her work integrates interdisciplinary approaches to robotics and biomedical engineering.

Ian Brownمشاهده پروفایل

استاد

• Energy Conversion
• Electric Machines
• Adjustable Speed Drives
• +۶ مورد دیگر

Ian Brown is a Professor of Electrical and Computer Engineering at Illinois Institute of Technology, part of the Armour College of Engineering. He holds a Ph.D. (2009), M.S. (2003), and B.S. (1999) in Electrical and Computer Engineering from the University of Wisconsin-Madison and Swarthmore College. His research focuses on energy conversion, electric machines, and renewable energy systems, with emphasis on sensorless control, machine design optimization, and traction motor development for electric vehicles. He has extensive industry experience as a principal engineer at A.O. Smith, contributing to electric machine and drive technologies. Research interests include adjustable speed drives, high-power density motors, and applications in sustainable energy. He has advised multiple graduate students and published over 50 peer-reviewed articles in IEEE Transactions and conferences. His recent work explores superconducting circuit breakers, thermal management systems, and advanced winding designs to minimize harmonic distortions. Brown's contributions bridge academic research with industrial applications, particularly in improving energy efficiency and reliability in power conversion systems. He is affiliated with the IEEE and has contributed to journal editorials on electric machines in renewable energy. His lab focuses on experimental prototyping and simulation-driven optimization of electric drives. Current projects include developing brushless capacitive excitation systems for traction motors and analyzing driving cycle-based machine design optimization strategies. Teaching responsibilities include graduate courses on electric machines and power electronics. He maintains active collaborations with industry partners like A.O. Smith and Siemens, emphasizing translational research with commercialization potential.

Christine Erbeمشاهده پروفایل

استاد

• Underwater acoustics
• Marine mammal bioacoustics
• Anthropogenic noise impact on marine ecosystems
• +۳ مورد دیگر

Christine Erbe is a John Curtin Distinguished Professor at Curtin University's School of Earth and Planetary Sciences, within the Faculty of Science and Engineering. She holds a PhD in Geophysics and has extensive experience spanning academia, government, industry, and education. Her research focuses on underwater acoustics, marine mammal bioacoustics, and the impacts of anthropogenic noise on marine ecosystems. She is a Fellow of the Acoustical Society of America and former Chair of its Animal Bioacoustics committee. Education: PhD in Geophysics, University of British Columbia (1997) MSc in Physics, University of Dortmund (1993) BSc in Physics, University of Dortmund (1989) Grad. Dip. Ed. in Mathematics/Science Education, Queensland University of Technology (2007) Research Interests: Characterization of marine soundscapes Effects of noise on marine fauna behavior and physiology Sound propagation modeling in oceans Development of acoustic mitigation strategies Awards & Roles: Fellow, Acoustical Society of America Former ISO representative for underwater noise standards Her work includes pioneering studies on vessel noise impacts, passive acoustic monitoring, and the global library of underwater biological sounds (GLUBS). She leads the Centre for Marine Science & Technology and collaborates internationally on marine conservation and policy.

• Fracture Mechanics
• Solid Mechanics
• Finite Fracture Mechanics
• +۱۴ مورد دیگر

Pietro Cornetti is an Associate Professor in the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Politecnico di Torino, where he also serves as Coordinator of the Doctoral School in Civil and Environmental Engineering. He is a member of the SISCON Interdepartmental Center for the Safety of Infrastructures and Constructions and the Doctoral School Council. His academic career has been deeply rooted at Politecnico di Torino, where he completed his education and has held continuous academic positions since 1999. His research interests span a broad spectrum of solid and fracture mechanics, with a focus on finite fracture mechanics , fractional calculus , fractal geometry , non-local elasticity , size effects in concrete and granular materials, and structural retrofitting using FRP/FRCM systems . His work bridges theoretical mechanics with practical applications in civil engineering and structural integrity. The 15 most recent publications highlight a strong trend toward integrating advanced mathematical frameworks—particularly fractional calculus and phase-field modeling—with classical and finite fracture mechanics. These works address brittle fracture, dynamic crack propagation, fatigue in composites, and debonding phenomena, demonstrating a consistent focus on improving predictive models for structural failure across scales. He actively mentors PhD students and leads major research initiatives, including the H2020-funded NEWFRAC project and the nationally funded REHARZE project on retrofitting historic architecture for zero emissions. His teaching portfolio includes Solid Mechanics, Structural Mechanics, Fracture and Plasticity, and advanced topics in computational mechanics across undergraduate, master's, and doctoral levels. He is affiliated with several professional organizations: Italian Group of Fracture (IGF) Italian Association of Applied and Theoretical Mechanics (AIMETA) European Structural Integrity Society (ESIS), Technical Committee TC16 He has served on the program committee of the International Conference on Fracture (ICF14) and participated in the organizing committee of AIMETA XXI. His research is supported by competitive grants from national (PRIN) and EU (H2020) funding programs. He supervises a research group focused on fracture mechanics and leads the Laboratorio di Meccanica della Frattura (DISEG) , which supports experimental and computational research in structural integrity. His team works on both theoretical developments and practical applications in civil and environmental engineering.

• Materials Science
• Crystal Plasticity
• Computational Modeling
• +۳ مورد دیگر

Franz Roters is a researcher at the Max Planck Institute for Sustainable Materials within the Max Planck Society . His work focuses on Crystal Plasticity , Microstructure Physics , and Alloy Design , specializing in multi-physics simulations and computational modeling of materials. Developing and scaling the DAMASK software suite for crystal plasticity and damage modeling Research on texture evolution in aluminum alloys and magnesium twinning Collaborative work on chemo-mechanical coupling in solid-state batteries His recent publications emphasize multi-physics crystal plasticity , damage mechanics , and grain-scale simulations . He has presented at international conferences on computational challenges in materials science.

Sándor Ádányمشاهده پروفایل

استاد

• Structural Engineering
• Computational Mechanics
• Finite Element Modeling
• +۳ مورد دیگر

Sándor Ádány is a Professor at the Department of Structural Mechanics , Budapest University of Technology and Economics. His work focuses on advanced structural analysis of thin-walled members and systems-based design methodologies. Research Interests: Specializes in buckling behavior of thin-walled structures, finite element modeling, cold-formed steel stability, and modal decomposition techniques. Key areas include Lateral-torsional buckling Displacement mapping in constrained FEM Stiffener optimization in plate structures Combined loading stability of tubular members Prebuckling deformation effects Fourier-based numerical methods Article Trends (2023-2025): Recent publications emphasize elastic stability analysis of thin-walled beams and tubular structures under complex loading conditions, with particular attention to prebuckling deflections, torsional rigidity effects, and numerical validation of analytical models. Innovations include Fourier-series displacement approximations and constrained finite element methodologies.

Boming Zhangمشاهده پروفایل

مدرس

• Fibre-reinforced composites
• Material modelling
• Composite manufacturing
• +۸ مورد دیگر

Dr. Boming Zhang is a Lecturer and Postdoctoral Research Officer at the School of Mechanical and Manufacturing Engineering, UNSW. He holds a PhD in Mechanical and Manufacturing Engineering (2024) and a Bachelor of Mechanical Engineering (Honours Class 1, 2019). His expertise spans composite materials, finite element modelling (FEA), and material characterization using tools like ANSYS, Abaqus, and Digital Image Correlation. He also focuses on micromechanics of composites, stochastic analysis for material reliability, and experimental techniques involving tomography and serial sectioning. Research Interests: Composite materials, material modelling, FEA software development, Boeing Onset Theory, and optical material analysis. Awards: Recipient of the University International Postgraduate Award (2020–2023), Dean's Award (2019), and multiple Honours List recognitions at UNSW. Teaching: Primary Convenor for ENGG1300, MMAN4410, and ENGG2400 courses. Specializes in integrating research and industrial applications into teaching. His long-term goals include expanding interdisciplinary research and fostering student supervision capabilities to enhance engineering education.

Jurij Karlovsekمشاهده پروفایل

مدرس ارشد

• Geotechnical Engineering
• Underground Engineering
• Sustainable Infrastructure
• +۴ مورد دیگر

Dr. Jurij Karlovsek is a Senior Lecturer in the School of Civil Engineering at the University of Queensland (UQ), specializing in Geotechnical and Underground Engineering. His research focuses on sustainable infrastructure development, BIM integration in tunnelling, and non-destructive testing (NDT) using technologies like GPR and LiDAR. He leads initiatives at the Sustainable Infrastructure Research Hub and co-founded the Infrastructure CoLab. He teaches courses including Soil Mechanics, Sustainable Infrastructure Design, and Underground Structures. Active in professional organizations, he serves as Vice-President of the Australian Tunnelling Society (ATS) and Past Chair of the ITA Working Group 22 on BIM in Tunnelling. His awards include the ITA Young Tunneller of the Year (2015) and the David Sudgen Award (2012). He supervises PhD students in areas like tunnel safety, observational methods, and geotechnical information value. His recent research includes Bayesian network models for tunnel fire safety and digital twin frameworks for urban sustainability. Education: PhD in Civil Engineering from UQ. Grants: Includes funding from Lloyd's Register Foundation and Natural Hazards Research Australia. Labs/Teams: Sustainable Infrastructure Research Hub, Infrastructure CoLab.

Sofia Kyratziمشاهده پروفایل

استادیار

• Geometric Modeling
• Computer-Aided Design (CAD)
• Parametric Modeling
• +۵ مورد دیگر

Sofia Kyratzi is an Assistant Professor of Geometric Modeling and Computer-Aided Design at the University of the Aegean's Department of Product and Systems Design Engineering. She holds a PhD (2007) in Computer Graphics and Geometric Modeling from the same university, an MSc in Medical Informatics (2002) from Aristotle University of Thessaloniki, and a BSc in Mathematics (2000) from Aristotle University. Roles: Teaches courses like Computer Graphics, Computer-Aided Design, and related graduate topics. Research Focus: Parametric modeling, sketch-to-solid algorithms, design intent recognition, and Industry 4.0 integration in manufacturing. Her work includes developing algorithms for reconstructing 3D models from sketches, leveraging cloud computing for CAD applications, and optimizing footwear design via biomechanical modeling. Key contributions span over 15 peer-reviewed publications in journals like Computer-Aided Design and conferences addressing geometric modeling challenges. She collaborates on projects exploring Industry 4.0 technologies for SMEs, emphasizing cloud-based CAD tools and parallel computing optimizations. Her research bridges theoretical geometric principles with practical industrial applications.

Gulen Ozkulaمشاهده پروفایل

استادیار

• Seismic Design
• Steel Structures
• Earthquake Engineering
• +۴ مورد دیگر

Gulen Ozkula is an Assistant Professor of Civil Engineering at the University of the District of Columbia's School of Engineering and Applied Sciences. She specializes in seismic design, evaluation, and rehabilitation of steel structures, with a focus on steel columns and their behavior under extreme loading conditions. Her research integrates experimental methods, numerical modeling, and performance-based design principles to enhance structural resilience against earthquakes and seismic hazards. Education: Executive MBA, Istanbul University Post-Doctorate, Tokyo Institute of Technology Post-Doctorate, University of California, San Diego Ph.D., University of California, San Diego M.S., University of Illinois at Urbana-Champaign B.S., Celal Bayar University Research Interests: Ozkula’s work addresses critical challenges in seismic engineering, including cyclic stability of steel columns, high-performance steel materials, and seismic risk assessment. She explores innovative solutions for retrofitting existing structures and improving design codes through advanced testing methodologies and data analysis. Key Research Trends: Her publications emphasize experimental testing of steel beam-column subassemblages, field reconnaissance of recent earthquakes (e.g., Turkey 2023), and classification of buckling modes in steel columns. Findings often inform practical design guidelines and safety protocols for earthquake-prone regions. Grants & Advising: While specific grants are not listed, her active research program suggests involvement in funded projects related to seismic engineering. No current advisees are noted in the provided information. Labs & Teams: While not explicitly mentioned, her experimental work implies affiliation with structural testing facilities and interdisciplinary teams focused on earthquake engineering and materials science.

Anjali Sandipمشاهده پروفایل

عضو هیئت علمی

• Computational Mechanics
• High-Performance Computing
• Machine Learning
• +۵ مورد دیگر

Anjali Sandip is a Teaching Assistant Professor in the Mechanical Engineering Department at the University of North Dakota's College of Engineering and Mines. She holds a Ph.D. in Mechanical Engineering from the University of Kansas and maintains an active research program in computational mechanics, high-performance computing, and machine learning. Her educational background includes a Doctor of Philosophy and Master of Science in Mechanical Engineering from the University of Kansas, and a Bachelor of Engineering in Mechanical Engineering from Osmania University in Hyderabad, India. She previously served as a post-doctoral researcher at the University of Nebraska, where she developed patient-specific computational models for peripheral artery disease treatment. Dr. Sandip's research spans computational mechanics, high-performance computing, uncertainty quantification, physics-informed machine learning, and multi-physics modeling. Her work has significant applications in ice sheet dynamics, medical device modeling, and multi-phase flow simulations. She has developed open-source software frameworks that integrate finite element and finite volume methods with uncertainty quantification tools. Her recent publications demonstrate a strong focus on developing computational frameworks for multi-physics problems, with particular emphasis on GPU acceleration, uncertainty quantification, and machine learning integration. The research shows consistent application of these methods to challenging problems in earth sciences, biomedical engineering, and traditional mechanical engineering domains. Scientific Awards: NSF EPSCoR Research Fellow (2024-25) Dr. Sandip actively mentors both undergraduate and graduate researchers, and she is currently seeking Master's and Ph.D. students interested in computational mechanics, applied mathematics, scientific machine learning, and earth sciences. She serves as an active member of the Association of Computational Mechanics (USACM & IACM) and has delivered numerous presentations at professional conferences. Her research has received support from prestigious organizations including the National Science Foundation (NSF), Department of Energy (DOE), and NVIDIA. She teaches courses including Introduction to Mechanical Engineering, Thermodynamics, Machine Component Design Laboratory, Advanced Finite Element Methods, Modeling Glaciers and Ice Sheets, Statics, and Engineering Ethics, demonstrating her broad expertise across mechanical engineering disciplines.

• Algebraic Topology
• Algebraic K-theory
• Arithmetic Geometry
• +۷ مورد دیگر

Gabriel Angelini-Knoll is an Assistant Professor in the Department of Mathematics, Applied Mathematics, and Statistics at Case Western Reserve University . Previously, he held postdoctoral positions at Université Paris 13 , Freie Universität Berlin , and Michigan State University , with a guest position at the Max Planck Institute for Mathematics in Bonn (2024-2025). He earned his PhD at Wayne State University under Andrew Salch. Research Interests : His work focuses on algebraic topology and algebraic K-theory , particularly computational methods with applications to arithmetic and geometry. Key areas include topological Hochschild homology , Morava K-theory , syntomic cohomology , and equivariant homotopy theory . His published work explores chromatic complexity, redshift phenomena, and connections to Lichtenbaum-Quillen conjectures. Teaching and Mentoring : Gabriel has taught courses like Introduction to Abstract Algebra (Case Western Reserve) and Algebraic K-theory (Freie Universität Berlin). He co-supervised Master’s and undergraduate theses on topics such as Real topological Hochschild homology , generalized Tate cohomology , and infinity categories . He organizes seminars on chromatic homotopy theory , Hermitian K-theory , and related topics. Collaborations and Conferences : Active in international collaborations, he works with researchers like Ch. Ausoni , M. Behrens , and J.D. Quigley . He has delivered invited talks at institutions including MIT , Université Sorbonne Paris Nord , and Isaac Newton Institute , with presentations at AMS Sectional Meetings and Oberwolfach .

• Microelectromechanical Systems (MEMS)
• Compliant Mechanisms
• Carbon Nanotubes
• +۳ مورد دیگر

Dr. Brian D. Jensen is a Professor and Department Chair in the Department of Mechanical Engineering at Brigham Young University (BYU). He holds a Ph.D. in Mechanical Engineering from the University of Michigan and has also worked as a micromechanism designer at Sandia National Laboratories. His research focuses on Microelectromechanical Systems (MEMS) , Compliant Mechanisms , and Carbon Nanotube Applications in biomedical and mechanical contexts. Education: B.S. and M.S. in Mechanical Engineering, Brigham Young University M.S. in Electrical Engineering, University of Michigan Ph.D. in Mechanical Engineering, University of Michigan Dr. Jensen's research spans MEMS design , carbon nanotube-based biofilm resistance , and compliant mechanism optimization . His work has been recognized with the BYU Young Scholar Award and the Utah Engineers Council Educator of the Year Award . He has supervised numerous graduate students and holds 12 U.S. patents in MEMS and compliant mechanisms. His recent publications analyze compliant mechanism design , biofilm inhibition via CNT coatings , and microscale manufacturing techniques . Key subfields include boundary condition modeling , antimicrobial surfaces , and miniature spring design . Scientific Awards: Best Paper Awards BYU Young Scholar Award Utah Engineers Council Educator of the Year Award Dr. Jensen teaches undergraduate and graduate courses such as Dynamic System Modeling (MeEn 335), Microelectromechanical Systems (MeEn 550), and mentors capstone teams in MeEn 475/476 . He has developed 12 U.S. patents in MEMS and compliant mechanisms.

Socrates Dokosمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Computational Neuroscience
• Cardiology
• +۴ مورد دیگر

Associate Professor Socrates Dokos is Deputy Head of the Graduate School of Biomedical Engineering at UNSW Sydney. His research focuses on computational modeling of electrical and mechanical properties in excitable tissues, with over 160 publications and a sole-authored textbook on Modelling Organs, Tissues, Cells and Devices . He leads interdisciplinary work combining computational modeling, systems identification, and experimental electrophysiology. Current IEEE EMBC Editor for Computational Systems & Synthetic Biology Member of EMBS Technical Committee on Therapeutic Systems and Technologies Key research areas involve Cardiac electrical and mechanical function modeling Retinal neural stimulation simulations Electroconvulsive therapy (ECT) optimization Biomechanical modeling of tissues and devices Parameter optimization for ionic cell models Cardiovascular-rotary blood pump interactions His recent publications demonstrate expertise in multi-scale biological modeling, cardiac hemodynamics, retinal prosthetics, and therapeutic neuromodulation techniques. He actively engages in developing standards for the Modeling Markup Language (MML) framework. Contact: Room 506, Samuels Building (F25), UNSW Sydney. Email: s.dokos@unsw.edu.au . ORCID: 0000-0002-7399-2712

Rajeev Jaimanمشاهده پروفایل

استاد

• Fluid-structure interaction
• Computational mechanics
• Intelligent ocean systems
• +۳ مورد دیگر

Rajeev Jaiman is a Professor in the Department of Mechanical Engineering at the University of British Columbia's Faculty of Applied Science. A graduate of IIT Bombay (B.Tech) and the University of Illinois at Urbana-Champaign (M.S., Ph.D. in Aerospace Engineering), he holds the NSERC/Seaspan Industrial Research Chair in Intelligent and Green Marine Vessels (IGMVs) and is recognized as a SNAME Fellow. PhD in Aerospace Engineering from University of Illinois, Urbana-Champaign Senior Member of AIAA and member of APS, ASME, SNAME, and USACM His research focuses on fluid-structure interaction , computational mechanics , and data-driven modeling for marine/aerospace applications. Current work includes: High-fidelity multiphysics simulations Machine learning integration for fluid dynamics Phase-field methods for interface capturing Bio-inspired structural optimization Flow control techniques for vortex-induced vibration Recent publications emphasize graph neural networks for fluid dynamics prediction, phase-field modeling of complex interactions, and machine learning applications in multiphase flows. Research trends show strong interdisciplinary connections between computational mechanics, ocean engineering, and data science. Scientific awards include: NSERC/Seaspan Industrial Research Chair Fellow of The Society of Naval Architects and Marine Engineers (SNAME) As director of the Computational Multiphysics Laboratory, he develops high-performance computing frameworks for marine , aerospace , and biomechanics applications. His work spans numerical algorithms, HPC-based solvers, and bio-inspired design optimization.