جست‌وجوی استاد و پژوهشگر

• Biomedical Engineering
• Medical Physics
• Therapeutic Ultrasound
• +۴ مورد دیگر

Douglas Christensen is a Professor in both the Department of Electrical and Computer Engineering and the Department of Biomedical Engineering at the University of Utah. His academic career spans over five decades, beginning with a Ph.D. in Electrical Engineering from the University of Utah in 1967. He has authored or co-authored multiple books, including Ultrasonic Bioinstrumentation and Basic Introduction to Bioelectromagnetics . Education: BS, Electrical Engineering, Brigham Young University (1962) MS, Electrical Engineering, Stanford University (1963) PhD, Electrical Engineering, University of Utah (1967) Postdoctoral Fellowship, University of Washington (1972-1974) Research Interests: Therapeutic ultrasound Optical biosensors Acoustic radiation force Phase aberration correction 3D MR thermometry Medical imaging systems Ultrasound wave propagation Scientific Awards: Fellow, American Institute for Medical and Biological Engineering (2001) Distinguished Teaching Award, University of Utah (2004) Lifetime Achievement Award, ECE Department (2020) ECE Chair's Award (2022) His recent publications focus on improving transcranial ultrasound simulations through skull geometry modeling, optimizing phase aberration correction for breast MRgFUS, and enhancing MR thermometry accuracy via model predictive filtering. He has secured significant NIH grants for HIFU bioengineering and transcranial MRgFUS innovations. Christensen teaches foundational courses in biomedical engineering and electrical circuits, with active roles in 2023-2024 academic terms.

Eric Hallمشاهده پروفایل

مدرس

• Uncertainty Quantification
• Stochastic Simulation
• Predictive Modelling
• +۵ مورد دیگر

Dr. Eric Hall is a Baxter Fellow and Lecturer in Applied Mathematics at the University of Dundee's School of Science and Engineering. He holds a PhD in Mathematics from the University of Edinburgh (2013) and a B.A. in Mathematics from the University of Pennsylvania. Prior to joining Dundee in 2020, he held postdoctoral positions at KTH Royal Institute of Technology, University of Massachusetts Amherst, and RWTH Aachen University. His research focuses on the mathematical foundations of data science, specializing in uncertainty quantification , stochastic simulation , and predictive modeling for complex systems. Current work develops domain-aware surrogate models and sensitivity analysis techniques for scientific machine learning, with applications spanning materials science, finance, geophysics, and solar physics. Publications demonstrate a strong focus on multi-scale systems and scientific machine learning , with recent work expanding into astrophysical applications. Research consistently integrates mathematical rigor with practical applications across physics and engineering domains. Awards and Honors Dundee Difference Awards 2025 - Innovation of the Year Fellow of the Institute of Mathematics and its Applications (2022) Science and Engineering Staff Awards - Innovation in Teaching (2022) Dr. Hall actively supervises PhD students in uncertainty quantification and scientific machine learning, and serves as second supervisor for doctoral projects on chaotic differential equations. He has secured research grants including STFC PhD funding for Solar Physics applications and Heilbronn Focused Research Group funding. He maintains memberships in the Edinburgh Mathematical Society (Trustee), Institute of Mathematics and its Applications, Society for Industrial and Applied Mathematics, and American Mathematical Society. Dr. Hall leads research in uncertainty quantification within the Mathematics division and collaborates internationally on multi-scale modeling projects.

Hans van Dommelenمشاهده پروفایل

دانشیار

• Micromechanics
• Multi-scale mechanics
• Structure–property relations
• +۷ مورد دیگر

Hans van Dommelen is Associate Professor of Micromechanics at Eindhoven University of Technology (TU/e), Department of Mechanical Engineering, where he leads the Group Van Dommelen . His research couples microstructure to mechanical and functional behaviour of materials spanning nuclear fusion, additive manufacturing, polymers, and biomechanics. Education PhD in Mechanical Engineering, TU/e (2003) – Micromechanics of particle-modified semicrystalline polymers Visiting researcher, MIT (1999–2000), University of Virginia (2003–2004), and Cambridge University (2010–2012) Research Interests Van Dommelen’s work focuses on multi-scale mechanics and structure–property relationships . Using microstructural modelling and homogenization techniques, he links phenomena at the microscale to macroscopic response in: Crystalline and heterogeneous materials Nuclear fusion reactor materials (tungsten, liquid-metal shields) Additive manufacturing (wire-arc, selective laser sintering, vat photopolymerization) Semi-crystalline polymers and short-fiber composites Traumatic brain injury biomechanics Scientific Output He has authored over 230 peer-reviewed publications (h-index > 40) in leading journals such as Journal of the Mechanics and Physics of Solids , Biomechanics and Modeling in Mechanobiology , Nuclear Fusion , and Additive Manufacturing . Recent trends include viscoelastic-viscoplastic metamaterials, anisotropic food printing, recrystallization kinetics of tungsten under fusion loads, and multiscale fracture of additively manufactured metals. Teaching & Supervision Van Dommelen coordinates and lectures in: Structure and Properties of Materials Computational and Experimental Micro-mechanics Fusion Reactor Materials and Plasma-Wall Interaction He has supervised >85 MSc and PhD theses to date. Laboratory & Collaborations He heads the Group Van Dommelen within the Mechanics of Materials section, maintaining strong collaborations with DIFFER, ITER, and international partners on liquid-metal technologies for fusion blankets and advanced additive manufacturing processes.

Ignacio IZEDDINمشاهده پروفایل

دانشیار

• Single-Molecule Localization Microscopy
• Super-Resolution Imaging
• Single Particle Tracking
• +۷ مورد دیگر

Ignacio IZEDDIN is an Associate Professor ( Maître de conférences ) at the Institut Langevin, ESPCI Paris, which is part of CNRS and Université PSL. His research sits at the critical intersection of advanced optical imaging, biophysics, and molecular cell biology, with a particular focus on pushing the boundaries of what can be visualized and understood about molecular distribution and cellular dynamics. His primary research interests include Single-Molecule Localization Microscopy (SMLM), super-resolution imaging techniques, single particle tracking (SPT), biophotonics, diffusion processes in cell biology, molecular cell biology, transcription regulation, DNA repair mechanisms, and light-matter interactions at the nanoscale. Dr. IZEDDIN's work aims to develop innovative microscopy tools that overcome current limitations in spatial and temporal resolution, enabling the capture of rapid, dynamic cellular processes with unprecedented clarity. The trends in his recent publications reveal a strong focus on developing event-based sensor technology for high-speed single-molecule localization, creating novel 3D microstructured substrates for cellular imaging and calibration, studying light-matter interactions at the nanoscale through fluorescence lifetime imaging, and applying these advanced techniques to understand fundamental biological processes like DNA repair, chromatin dynamics, and cellular differentiation. His work consistently bridges physics, engineering, and biology to solve complex imaging challenges. Dr. IZEDDIN is actively involved in research funding and recruitment, with current projects including a European LIGHTinParis COFUND PhD position analyzing alpha-synuclein diffusion in neurons using super-resolution microscopy based on event sensors, and hiring for a software engineer position to develop data processing tools for event-based SMLM technology. His laboratory employs a highly interdisciplinary approach, combining physics, biology, and engineering expertise to tackle challenging problems in cellular imaging. Current projects involve collaborations with neuroscientists, physicists, and engineers to study everything from molecular diffusion in neurons to macrophage differentiation on 3D topographical substrates.

Arti Agrawalمشاهده پروفایل

دانشیار مدعو

• Optics
• Numerical Methods
• Finite Element Method
• +۲ مورد دیگر

Arti Agrawal is an Adjunct Associate Professor in the School of Electrical and Data Engineering at the University of Technology Sydney (UTS). She has been associated with UTS since 2018, initially joining with time split between her academic role and as Director of the Women in Engineering and IT programme. She is also the CEO of Vividhata Pty Ltd, a startup focused on diversity and inclusion. Dr. Agrawal earned her PhD in Physics from the Indian Institute of Technology Delhi in 2005, following an MSc (1999) and BSc Physics (Hons) (1997) from the same institution. Prior to UTS, she worked at City, University of London from 2005-2017, progressing from Research Fellow to Senior Lecturer in the Department of Electrical Engineering. Her primary research focuses on optics and photonics, specifically modeling photonic components such as solar cells, optical fibers, sensors, and lasers using numerical methods like the Finite Element Method (FEM). She is an expert in computational photonics, having authored a book on FEM and edited a book on trends in computational photonics. She serves as an Associate Editor for the IEEE Photonics Journal. Dr. Agrawal's recent publications demonstrate a strong focus on nanophotonics, particularly involving graphene and silicon carbide materials for mid-infrared applications, as well as research on diversity and inclusion in engineering education. Her work spans both fundamental photonics research and practical applications in sensor technology and optical devices. Chartered Engineer (Institution of Engineering and Technology, 2013-present) Chartered Physicist (Institute of Physics) Senior Member IEEE Senior Member Optical Society of America Board of Directors, Optical Society of America (2018) Dr. Agrawal has received research funding including a scholarship from the Defence Science and Technology Group of the Department of Defence for 'Graphene based Nanophotonics for Polarization and Photodetection Filter Design' (2019-2022). She is passionate about mentoring students and has supervised PhD and Master's students in photonics research. Her teaching interests include electromagnetics, optics, and numerical methods, and she has taught first-year undergraduate Physics, Signal Processing, and Biomedical Optics. She leads significant initiatives in diversity and inclusion in STEM, using virtual reality for training and developing evidence-based approaches for managing diverse teams. She has organized workshops including the first Pride in Photonics workshop at CLEO for LGBTQI+ scientists and allies.

Ji Chenمشاهده پروفایل

استاد

• Computational Electromagnetics
• Electromagnetic-Neuro modulation Coupling
• MRI Safety Engineering
• +۳ مورد دیگر

Dr. Ji Chen is a Professor and Chair at the Department of Electrical & Computer Engineering, University of Houston, where he also serves as Director of the NSF I/UCRC Center for EMC Research. His career bridges academic research with industry experience, including prior roles as a staff engineer at Motorola Personal Communication Research Labs (1998-2001). He holds a PhD in Electrical Engineering from the University of Illinois, Urbana-Champaign, with prior degrees from McMaster University and Huazhong University of Science and Technology. IEEE Fellow Fellow AIMBE NSF Career Award Winner Dr. Chen's research focuses on computational electromagnetics , particularly in biomedical applications. Key areas include electromagnetic safety of medical implants in MRI systems , multi-channel transcranial magnetic stimulation (TMS) devices , coupled EM-neuro modulation simulations , and RF field interactions with the human body . He has developed novel solutions for MRI-induced heating mitigation in implants and pioneered wireless power transfer applications for industrial systems. His publication record demonstrates expertise in FDTD modeling for periodic structures, electromagnetic dosimetry, and medical device safety evaluation. Collaborations with Wolfgang Kainz and others have produced significant contributions to MRI safety standards and virtual human modeling for dosimetric simulations. Scientific Awards IEEE EMC Society Technical Achievement Award (2011) IEEE EMC Society Distinguished Lecturer (2009-2010) IEEE APMC Best Paper Award (2008) IEEE Senior Member (2008) ORISE Fellowship (2006) Motorola Engineering Award (2000) Dr. Chen's research group has explored electromagnetic tracking systems for radiotherapy, developed advanced simulation techniques for periodic structures, and investigated safety protocols for pregnant women in metal detector exposure scenarios. His work combines theoretical advancements with practical applications in both medical and industrial electromagnetics.

Paul Dellarمشاهده پروفایل

مدرس

• Lattice Boltzmann methods
• Complex fluids
• Magnetohydrodynamics
• +۴ مورد دیگر

Paul Dellar is a Governing Body Fellow and Tutor in Applied Mathematics at Corpus Christi College, University of Oxford, where he also serves as a University Lecturer in Applied Mathematics. He returned to Oxford in 2007 after previous academic positions including a lectureship at Imperial College London and a Junior Research Fellowship at Corpus Christi College (2001–2004). His educational background includes undergraduate and graduate studies at the University of Cambridge, supplemented by participation in the Woods Hole Summer Study Programme in Geophysical Fluid Dynamics. Dr. Dellar's research spans several interconnected domains: Lattice Boltzmann methods : Developing computational frameworks for fluid dynamics, electromagnetic systems, and quantum applications, with industrial uses in automotive and nuclear engineering. Geophysical fluid dynamics : Deriving improved shallow water equations to model ocean currents (e.g., Antarctic Bottom Water crossing the equator) and atmospheric phenomena on planets like Jupiter. Multiscale modeling : Bridging kinetic theory, magnetohydrodynamics, and active matter systems through novel algorithms. His publications predominantly explore computational innovations in fluid dynamics and plasma physics, with recurring themes of lattice Boltzmann optimizations, conservation properties in geophysical models, and turbulence mechanisms in exotic systems. Recent work shows increasing focus on quantum lattice algorithms and high-precision magnetohydrodynamics solvers. Notable scientific recognition includes: Glasstone Research Fellowship (University of Oxford) He has supervised doctoral candidates such as Andrew Stewart, with whom he co-authored research on Coriolis force modeling in oceanography. Industrial collaborations include study groups addressing challenges like blood flow simulation for surgical stents and wave energy conversion systems.

Alberto De Santisمشاهده پروفایل

دانشیار

• Control Theory
• Signal Processing
• System Identification
• +۳ مورد دیگر

Alberto De Santis is an Associate Professor in the Department of Computer, Automatic and Management Engineering A. Ruberti at the University of Rome La Sapienza, Faculty of Information Engineering, Computer Science and Statistics. He has maintained this position since 1998 in the sector ING-INF04 - Automatica, following his progression from researcher positions at both the National Research Council and the university's Department of Computer and System Engineering. His educational background includes a degree in Electronic Engineering from University of Rome La Sapienza (1984, with honors) and a Specialization in Control Systems and Automatic Computing Engineering (1985-86). His academic journey included a visiting scholar position at UCLA's School of Engineering and Applied Mathematics (1990-91) and research fellowships at the Institute of Systems Analysis and Informatics. Professor De Santis teaches Fundamentals of Automatic Control for Management Engineering undergraduate programs and Modeling and Identification for Master's degree students. His research spans theoretical and applied domains with particular emphasis on filtering and control theory, signal processing, and system identification. He's also a member of Continuous Optimization research group and since 2011 has been associated with the university spin-off ACTOR SRL focused on Analytics, Control Technologies and Operations Research. His recent publications (2022-2024) demonstrate remarkable interdisciplinary reach, connecting traditional control engineering with aerospace systems, nutrition science, healthcare optimization, and sports medicine. This reflects a research trajectory that has evolved from core control theory to practical applications across diverse fields including aircraft formation, sustainable diet planning, emergency department operations, and dietary supplement usage patterns. He maintains active academic engagement through regular teaching (with documented 2024/25 course schedules), ongoing research collaborations, and participation in university spin-off initiatives. His office is located in room A204 at the university's Department of Computer, Automatic and Management Engineering.

• Computational mechanics
• Finite element method
• Uncertainty quantification
• +۶ مورد دیگر

Prof. Dr.-Ing. habil. Kai Willner is a distinguished Professor at the Chair of Engineering Mechanics within the Department of Mechanical Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). His research spans multiple domains of computational mechanics with significant contributions to structural dynamics, uncertainty quantification, and biomechanics. His current work focuses on innovative applications of fuzzy arithmetic in engineering systems and the mechanics of brain tissue. Principal Investigator for SFB 1540 EBM (Erforschung der Mechanik des Gehirns) Lead researcher on multiple DFG-funded projects including polymorphic uncertainty modeling Active participant in international collaborations on structural dynamics Member of the research group FOR 2271 on process-oriented tolerance management Willner's research interests center on computational mechanics with emphasis on uncertainty quantification , fuzzy-stochastic finite element methods , contact mechanics , and brain biomechanics . His work addresses fundamental challenges in modeling systems with uncertain parameters, particularly in heterogeneous materials and biological systems. His research group develops advanced computational frameworks that integrate fuzzy arithmetic with traditional finite element methods to handle epistemic and aleatoric uncertainties simultaneously, with applications ranging from microstructural analysis to brain mechanics. Analysis of his recent publications reveals a strong trend toward interdisciplinary research, particularly at the intersection of computational mechanics and neuroscience. His work on brain mechanics within the SFB 1540 EBM project represents a significant shift toward biomedical applications of traditional mechanical engineering methods. His publications consistently demonstrate expertise in vibration analysis, structural dynamics, and uncertainty quantification, with increasing focus on applying these methods to biological systems and complex material behaviors. Prof. Willner has secured substantial third-party funding from the German Research Foundation (DFG), including multiple collaborative research center (SFB/TRR) projects, research units (FOR), and individual grants. His current major projects include the SFB 1540 EBM (2023-2026) investigating brain mechanics, and continuing work on polymorphic uncertainty modeling in heterogeneous materials. Within the SFB 1540 EBM consortium, Willner leads research on model-based matching of ex vivo and in vivo test data (project X01), focusing on resolving contradictions in mechanical properties of ultraweak brain tissue materials across different testing modalities. His team develops continuum-based simulation models to unify various experimental observations into a coherent mechanical framework for brain tissue.

Matthias Blauمشاهده پروفایل

استاد

• Audio Engineering
• Hearing Technology
• Acoustics
• +۴ مورد دیگر

Prof. Dr.-Ing. Matthias Blau is a Professor at Jade University of Applied Sciences in Oldenburg, Germany, working within the Department of Civil Engineering Geoinformation Health Technology under the School of Technology and Health for People. He leads the Institute for Hearing Technology and Audiology and conducts research on sound transmission to and perception by the human auditory system, and the design of technical systems that interact with this system. His research interests focus on understanding how sound is transmitted to and perceived by the individual human auditory system, and how technical systems (including hearing systems, medical implants, or concert halls) can be designed to interact with this system. His work spans ear canal modeling, hearing aid technology, head-related transfer functions, and individualized audio systems. He has developed methods for predicting sound pressure at the eardrum, modeling infant ears, and improving binaural audio rendering. Analysis of his publication record reveals a consistent research trajectory focused on individualized approaches to hearing technology. His work has evolved from basic ear canal modeling to sophisticated applications in hearing aids, virtual environments, and infant hearing assessment. Key themes include the development of models that account for individual anatomical differences, the creation of databases for acoustic research, and the improvement of spatial audio rendering techniques. Prof. Blau has supervised multiple PhD students whose work has contributed significantly to the field. His former students include Tobias Sankowsky-Rothe (2023), Mina Fallahi (2021), Eugen Razumow (2015), and current students Felix Stärz and Reinhild Roden. His research has practical applications in hearing aid design, hearing assessment for infants, and virtual reality audio systems. He leads the Institute for Hearing Technology and Audiology at Jade University, which maintains the IHA database of human geometries including torso, head and complete outer ears for acoustic research. This database, available on Zenodo, contains complete ear canals up to the eardrums, making it an ideal tool for studying interactions with in-ear hearing systems.