جست‌وجوی استاد و پژوهشگر

• Fluid-Structure Interaction
• Geophysics Applications
• Immersed Boundary Methods
• +۳ مورد دیگر

Maria Giuseppina Chiara Nestola is a Researcher at the Faculty of Informatics, Università della Svizzera italiana (USI), and partially affiliated with the Department of Earth Sciences at ETH Zurich. Her work focuses on developing advanced numerical methods for fluid-structure interaction (FSI), immersed boundary techniques, and fracture network modeling in biomedical and geophysical contexts. She contributes to projects like FASTER (geothermal reservoir simulations) and HPC-PREDICT (cardiovascular prognosis), and leads software development for tools like AV-FLOW (FSI library), Parrot (fracture network modeling), and Utopia (linear algebra). Her research integrates high-performance computing with applications in geophysics (e.g., seismic hazard assessment, geothermal systems) and biomechanics (e.g., aortic valve dynamics, turbulent blood flow). Key collaborations include the Center for Computational Medicine in Cardiology and the Swiss Competence Center for Energy Research (SCCER-SoE). She holds roles as FOMICS administrator and project co-PI/co-investigator in PASC initiatives. Her technical expertise spans parallel algorithms, embedded finite-element methods, and multi-physics simulations. Current efforts emphasize real-time geothermal reservoir modeling using Multilevel Monte Carlo methods and benchmarking fracture flow simulations.

Waqar Mohiuddinمشاهده پروفایل

دانشیار

• Mechanical Engineering
• Biomedical Engineering
• Cardiovascular Modeling

Waqar Mohiuddin is an Associate Professor in the Department of Mechanical Engineering at Texas A&M University's College of Engineering. His research spans Mechanical Engineering, Biomedical Engineering, and Cardiovascular Modeling. Educational background includes: Ph.D. in Biomedical Science, Texas A&M University (2008) M.S. in Mechanical Engineering, Texas A&M University (2002) B.S. in Mechanical Engineering, Bangladesh University of Engineering & Technology (1998) Research focuses on cardiovascular biomechanics and engineering education, with recent publications exploring innovative teaching methods for teamwork skills and conflict management in undergraduate programs. Publications show consistent themes in educational pedagogy, hemodynamics, and medical device innovation. Awards include: ASME Best Teacher Award (2021) Mechanical Engineering IAC Outstanding UG Teaching Award (2021)

James Longمشاهده پروفایل

استاد آموزشی

• Medical Imaging
• Biomedical Engineering
• Signal Processing
• +۳ مورد دیگر

James Long is an Assistant Teaching Professor of Bioengineering at Rice University. Previously, he served as a graduate instructor at Duke University while completing his Ph.D. in Biomedical Engineering. His work focuses on integrating practical, coding-based approaches into bioengineering education and advancing adaptive medical ultrasound imaging techniques through spatial coherence research. He has collaborated with Professors Gregg Trahey (Duke) and Nick Bottenus (University of Colorado Boulder), contributing to theoretical and applied advancements in ultrasound technology. James Long holds a Ph.D. in Biomedical Engineering from Duke University (2022), an M.S. in Biomedical Engineering from Duke University (2021), and a B.S. in Bioengineering from Rice University (2017). Long’s research interests are centered on medical ultrasound imaging and bioengineering education. He investigates spatial coherence to enhance adaptive imaging techniques, particularly in mitigating noise and optimizing clinical parameters. Additionally, he develops problem-based learning frameworks and coding modules to bridge conceptual and practical engineering skills, emphasizing team-based approaches for higher-order cognitive learning. His work includes collaborations on cellular modeling and process-oriented engineering solutions. Long’s recent publications highlight advancements in spatial coherence adaptive systems, educational pedagogy, and deep learning applications in ultrasound. His research trends emphasize interdisciplinary tools like 3D printing for phantom design and real-time parameter adjustments for clinical diagnostics. James Long has received several honors, including the TA of the Year in Biomedical Engineering (Duke University, 2020), NSF Graduate Research Fellowship (2019), and Stephen Smith Fellowship (2018). His advisory role at Rice University supports undergraduate bioengineering students, and he has pioneered team-based learning exercises to strengthen practical engineering competencies.

Sheryl M. Gracewskiمشاهده پروفایل

استاد

• Acoustic Wave Propagation
• Biomedical Ultrasound
• Optics Manufacturing

Sheryl M. Gracewski is Professor Emeritus of Mechanical Engineering at the University of Rochester. Her research spans wave propagation in elastic media, with applications in optics manufacturing vibration analysis and biomedical ultrasound. Key contributions: Developed numerical models for chatter suppression in precision optical grinding Analyzed bubble dynamics in lithotripsy and diagnostic ultrasound Modeled acoustic interactions with biological tissues containing air cavities Collaborates with Rochester's Center for Biomedical Ultrasound and optical manufacturing industry. Authored foundational studies on shock wave interactions with gas cavities.

Alessio Alexiadisمشاهده پروفایل

دانشیار

• Physics-Informed Machine Learning
• Particle Methods (MD, DEM, SPH)
• Computational Fluid Dynamics
• +۷ مورد دیگر

Dr. Alessio Alexiadis is a Reader in Chemical Engineering at the University of Birmingham, specializing in mathematical modeling and physics-informed machine learning. He holds a PhD from Politecnico di Torino (2001) and has held academic positions across 11 institutions in 8 countries. His research focuses on particle methods (MD/DEM/SPH), multiphase flows, and interdisciplinary applications in materials science, biomedical engineering, and environmental modeling. Education: PhD in Chemical Engineering, Politecnico di Torino, 2001 BSc in Chemical Engineering, 1998 Research Interests: Development of Discrete Multiphysics frameworks for complex systems AI-driven simulations and physics-informed machine learning Modeling fluid-structure interactions, colloids, and biophysical systems Applications in energy storage, climate modeling, and biomedical devices Grants & Funding: EPSRC CDT in Formulation Engineering (PI, £multi-million) Leverhulme Trust (PI, 2019–2023) US Office of Naval Research (PI, 2018–2022) Awards & Editorial Roles: Marie Curie Fellowship (2008) Editorial Board member: PLOS ONE, Scientific Reports (Nature), and ChemEngineering Labs & Collaborations: Modelling Concepts and Tools (MCT) group at Birmingham International collaborations spanning 4 continents

Sanowar Khanمشاهده پروفایل

استاد

• Mathematical modelling
• CAD of sensors and actuators
• Computational electromagnetics
• +۸ مورد دیگر

Professor Sanowar Khan is a Professor and Associate Dean (SSE) at the School of Science and Technology , City St George's, University of London , where he has been a faculty member since 1989. He holds a PhD and MSc (with Distinction) in Electrical Engineering from Peter the Great St Petersburg Polytechnic University, Russia. He previously served as Deputy Dean from 2008 to 2019. His research spans mathematical modelling, computational electromagnetics, finite element analysis, magnetic shape memory materials, sensor and actuator design, tomographic imaging, and measurement systems . His work integrates advanced numerical methods with practical instrumentation and biomedical applications, including hemodynamics and smart sensors. Recent publications show a strong trend in finite element modeling of electromagnetic phenomena , particularly in power systems (e.g., skin and proximity effects in cables) and biomedical engineering (e.g., carotid artery hemodynamics). He also contributes significantly to signal processing and smart material-based sensing . His editorial leadership includes being Editor-in-Chief of Sensor Review and former Associate Editor of Measurement and related journals. Fellow of the Institution of Engineering and Technology (IET) Fellow of the Institute of Measurement and Control (InstMC) Honorary Professor, Peter the Great St Petersburg Polytechnic University Founder Member, International Compumag Society (ICS) Liveryman, Worshipful Company of Scientific Instrument Makers Freeman of the City of London He advises on instrumentation standards and policy through his editorial and professional roles. He has no known PhD or Master’s students listed. He leads no specific lab or research team mentioned in the text but collaborates widely, particularly with researchers in biomedical engineering and electromagnetics.

Timothy W. Secombمشاهده پروفایل

استاد

• Theoretical Physiology
• Microcirculation
• Computational Modeling
• +۱۲ مورد دیگر

Timothy W. Secomb is a Professor at the University of Arizona with joint appointments in the Department of Physiology, Department of Mathematics, and the interdisciplinary programs in Applied Mathematics and Physiological Sciences. He is also affiliated with the BIO5 Institute and the Department of Biomedical Engineering, reflecting his highly interdisciplinary research approach. His research focuses on theoretical and computational modeling of physiological systems, particularly the microcirculation. Key areas include blood flow mechanics in microvessels, oxygen and nutrient transport to tissues, structural adaptation and angiogenesis in vascular networks, and regulation of blood flow through metabolic and mechanical feedback. His work integrates applied mathematics, physiology, and biomedical engineering to understand fundamental mechanisms in health and disease. The recent publications highlight a consistent focus on microvascular oxygen transport, neurovascular coupling, tumor angiogenesis, and computational hemodynamics. The modeling spans from cellular-level processes like red blood cell mechanics and ion diffusion to organ-level systems such as the cerebral cortex and pulmonary circulation. A strong trend is evident in using realistic 3D vascular geometries and developing fast, low-order models for complex physiological systems. Dr. Secomb has made significant contributions to understanding flow resistance, capillary perfusion, and the impact of vascular structure on tissue oxygenation. His models are instrumental in studying hypoxia in tumors and optimizing cancer therapies like thermoradiotherapy and antibody-drug conjugates. BSc in Mathematics, University of Melbourne (1975) MSc in Mathematics, University of Melbourne (1976) PhD in Applied Mathematics, University of Cambridge (1979) Post-Doctoral Training, Columbia University (1981) He has mentored students and researchers in mathematical physiology and continues to lead an active research program. His lab employs a hybrid discrete-continuum modeling framework and collaborates with experimental groups to validate theoretical predictions. Future work is likely to extend into immune-cell trafficking, multi-scale modeling of organ systems, and personalized models for precision medicine applications.

Paul Wattonمشاهده پروفایل

استاد

• Biomechanics
• Mechanobiology
• Cardiovascular Mechanics
• +۶ مورد دیگر

Professor Paul Watton holds the position of Professor of Computational & Theoretical Modelling at the University of Sheffield's School of Computer Science, leading the Complex Systems Modelling research group. He also holds an adjunct professorship at the University of Pittsburgh's Department of Mechanical Engineering and Materials Science. His academic journey includes a BSc from the University of Newcastle, an MSc from the University of Manchester, and a PhD from the University of Leeds, followed by postdoctoral work at the Universities of Glasgow and Oxford. His research focuses on biomechanics and mechanobiology of soft tissues, particularly in cardiovascular systems, arterial mechanics, and urinary bladder dynamics. He develops theoretical/computational models to study homeostasis, aging, and disease progression, with applications to aneurysms, bladder mechanics, and vascular pathologies. Recent work includes modeling cerebral vasospasm treatments, urinary bladder compliance mechanisms, and osteoarthritis progression using chemo-mechano-biological frameworks. Key grants include the BOOM project (NIH-funded) to model bladder outlet obstruction and the SofTMech Statistical Emulation Hub (EPSRC). He has organized international symposia on aneurysm modeling and collaborates globally on interdisciplinary projects combining computational modeling with experimental data. His publications span over 80 articles in journals like Biomechanics and Modeling in Mechanobiology and Journal of Biomechanics , focusing on multiscale modeling, fluid-solid interactions, and patient-specific simulations. Current research themes include digital twin development for healthcare and mechanobiological frameworks for degenerative diseases.

• Applied Mathematics
• Numerical and Computational Mathematics
• Materials Engineering
• +۳ مورد دیگر

Dr. Yan Ding is an Adjunct Professor in the School of Engineering at RMIT University, Australia. Their research focuses on Applied Mathematics, Numerical Methods, and Materials Engineering with a specialization in fracture mechanics, composite materials, and biomedical applications. Key areas include finite element analysis of small crack propagation and failure mechanisms in materials. Research interests span computational modeling of blood flow dynamics, oscillatory flow analysis, and atherosclerosis progression. Teaching emphasizes Finite Element Method applications and fracture mechanics. Collaborations include projects on composite materials and biomedical engineering solutions. Publications highlight work on phase-field models for brittle fracture, pulsatile blood flow simulations, and aerodynamic urban design. No explicit awards or grants are mentioned, but active contributions to RMIT’s engineering research and education programs are evident.

• Cardiovascular Engineering
• Medical Devices
• Biomedical Engineering
• +۵ مورد دیگر

Ulrich Steinseifer is a **Professor of Medical Engineering** at RWTH Aachen University, leading the Department of Cardiovascular Technology within the Faculty of Medicine. He specializes in cardiovascular engineering, artificial organs, and biomedical device development. His work focuses on improving medical devices like heart valves, oxygenators, and rotary blood pumps, with an emphasis on hemocompatibility, computational fluid dynamics modeling, and translational research. **Roles**: Deputy Director of the Institute of Applied Medical Technology, former Visiting Professor at Monash University (2017–2019). **Education**: Dr.-Ing. from RWTH Aachen (1995), Mechanical Engineering studies (1978–1987). **Research**: Extensive contributions to cardiovascular engineering, including stent design, artificial heart development, and extracorporeal life support systems. His research interests span **hemodynamics**, **biocompatible materials**, and **medical device optimization**, with applications in critical care and surgical interventions. He has pioneered methods for assessing thrombogenicity, ghost cell technology, and computational modeling for medical device evaluation. **Awards**: AIMBE Fellow (2016), EAMBES Fellow (2017), and recognition in business plan competitions for innovations like Hepa Clean. **Leadership**: Key roles in organizations like the International Society for Rotary Blood Pumps (ISRB) and ISO Technical Committees. Steinseifer’s labs develop cutting-edge solutions for cardiovascular diseases, including artificial placentas and advanced oxygenators. His work bridges engineering and medicine, emphasizing real-world clinical translation.

Sarah C. Vigmostadمشاهده پروفایل

دانشیار

• Computational fluid mechanics
• Fluid-structure interactions
• Multiscale modeling of biological phenomena
• +۵ مورد دیگر

Sarah C. Vigmostad is an Associate Professor of Biomedical Engineering and Interim Associate Dean at the University of Iowa's College of Engineering. She also serves as a Researcher at the Iowa Institute for Biomedical Engineering. Her work focuses on computational techniques for fluid-structure interactions, computational fluid mechanics, and multiscale modeling of biological phenomena. She joined the faculty in 2008 and holds degrees from the University of Iowa: a BSE (2001), MS (2003), and PhD (2007) in Biomedical Engineering. Her research spans coronary blood flow dynamics, heart valve mechanics, cardiovascular implant design, RBC dynamics, and vocal cord biomechanics. Notable projects include studies on Descemet membrane endothelial keratoplasty biomechanics, mitral valve surgical simulation, and hybrid CT/MRI vocal tract modeling. Her work often integrates medical imaging data with computational fluid dynamics to address clinical challenges in cardiovascular and ophthalmologic systems. Professional affiliations include the Biomedical Engineering Society (BMES). Her publications reflect interdisciplinary collaboration across biomechanics, fluid dynamics, and medical device innovation. Though no awards are listed in the provided texts, her extensive publication record indicates significant contributions to biomedical engineering research. Her advising and grant activities are not detailed here, but her involvement in the Iowa Institute for Biomedical Engineering suggests engagement in collaborative research initiatives. Her work interfaces with labs focused on biomedical imaging, cardiovascular mechanics, and tissue engineering.

Marco Bernagozziمشاهده پروفایل

مدرس

• Thermal Management in Electric Vehicles
• Heat Pipes
• Loop Heat Pipes
• +۱۶ مورد دیگر

Dr. Marco Bernagozzi is a Lecturer in Electric Vehicles at the Advanced Engineering Centre, School of Architecture, Technology and Engineering, University of Brighton. His research focuses on smart thermal management systems for electric vehicles, space applications, and sustainable energy systems. He specializes in loop heat pipes (LHPs) and pulsating heat pipes (PHPs) for efficient thermal control in batteries, power electronics, and spacecraft. Education: PhD in Thermal Management of Electric Vehicles, University of Brighton (2019–2022) MSc in Aerospace Engineering, University of Padova, Italy (2013–2016) BSc in Aerospace Engineering, University of Padova, Italy (2009–2013) His research interests include thermal management in electric vehicles, design and optimization of loop and pulsating heat pipes, integration of smart thermal control systems, and thermal systems for space applications. He also explores hybrid thermal systems for sustainability and lifecycle analysis. His recent work emphasizes reducing energy waste in HVAC through personal comfort systems and sustainable energy storage using molten salts and liquid air. The analysis of his recent publications reveals a strong focus on advancing passive and active thermal management technologies. His work spans electric vehicles, aerospace, and renewable energy, with recurring themes in heat pipe performance, thermal efficiency, and sustainability. He frequently employs experimental and computational methods to optimize thermal systems under real-world and extreme conditions. Scientific Awards: Best Oral Presentation Award at the Joint 21st International Heat Pipe Conference and 15th International Heat Pipe Symposium, Melbourne, Australia Advising and Grants: Dr. Bernagozzi is open to supervising students in thermal management for electric vehicles and space applications. He is actively involved in research projects such as GELL-P, which investigates gravitational effects on blood flow, funded by research councils. His work is supported by collaborations with industry partners including Ricardo, Tata Motors, ESA, and Highview Power. He contributes to peer review for leading journals such as Applied Thermal Engineering , International Journal of Thermal Sciences , and Renewable Energy . Labs and Teams: Dr. Bernagozzi is a core member of the Advanced Engineering Centre at the University of Brighton, where he conducts experimental and computational research on thermal systems. He collaborates with interdisciplinary teams on projects involving aerospace, automotive, and biomedical engineering, including the GELL-P project on space physiology.

Lance Sherryمشاهده پروفایل

استاد

• Air Transportation System Modeling and Simulation
• Data Analytics
• Stochastic Simulation
• +۱۲ مورد دیگر

Lance Sherry is a Professor in the Department of Systems Engineering and Operations Research at George Mason University’s College of Engineering and Computing. He serves as Director of the Center for Air Transportation Systems Research (CATSR), where he leads cutting-edge research in air transportation systems, data analytics, and autonomous systems. Education: PhD, Industrial and Systems Engineering, Arizona State University MS, Industrial and Systems Engineering, Arizona State University BS, Electrical Engineering, Brown University His research focuses on the modeling and simulation of complex adaptive systems in aviation, including air traffic control, airport operations, and unmanned aerial vehicles. He has pioneered work in human-computer interaction, operator training, and big data applications in aviation safety. His recent publications reflect strong trends in predictive analytics, environmental sustainability in aviation, and decision support systems for complex operational challenges. Scientific Awards and Recognitions: U.S. Patent and Provisional Patent for probabilistic alerting of aircraft unstable approaches using big data Multiple 1st and 2nd place awards in IEEE SIEDS, PITCH-IT, and Capstone competitions Best paper award at ICRAT Conference (2016) Senior design teams consistently recognized for innovation in systems engineering Lance Sherry has advised numerous PhD students, many of whom have gone on to prominent roles in aviation, government, and tech. He has secured research funding from organizations such as the Decision Science Research Institute, Crown Consulting Inc., and LMI. His leadership extends to professional service, including chairing the IEEE ICNS Conference and serving on NSF merit panels and AIAA technical committees. He is also actively involved in promoting drone technology education and urban air mobility research. Laboratories and Teams: He leads the Center for Air Transportation Systems Research (CATSR), which conducts interdisciplinary research in aviation systems, big data analytics, and human factors. The center supports undergraduate and graduate student teams in national design competitions and collaborates with FAA, NASA, and industry partners.

Gabriela Lopez Santanaمشاهده پروفایل

پژوهشگر ارشد

• Cardiovascular Flow
• Left Ventricular Assist Devices (LVAD)
• Computational Fluid Dynamics (CFD)
• +۶ مورد دیگر

Gabriela Lopez Santana is a Postgraduate Research & Teaching Associate and Research Fellow at the Department of Mechanical and Aerospace Engineering, Faculty of Science and Engineering, The University of Manchester. She also works as a Research Fellow in the Department of Cardiac Surgery and Transplantation at Wythenshawe Hospital, Manchester University NHS Foundation Trust. Her work bridges engineering and medical disciplines, focusing on cardiovascular flow optimization and medical device development. MSc in Thermal Power and Fluid Engineering (2018), The University of Manchester BSc in Mechanical Engineering (2015), Universidad de las Fuerzas Armadas ESPE Research Interests: Her primary research involves applying Computational Fluid Dynamics (CFD) to optimize surgical planning for Left Ventricular Assist Devices (LVADs), with secondary interests in hospital ventilation, renewable energy, and aerodynamic fan design. She founded InvenCenty , a specialized software for centrifugal fan parameter calculations. Scientific Contributions: Her publications focus on LVAD outflow graft positioning, aortic regurgitation dynamics, and educational co-production models. Key trends include CFD applications in medicine, mechanical circulatory support, and interdisciplinary approaches to solving clinical challenges. Awards: IET Travel Award for International Travel (2023) Newstart Travel Fund (2024)

• Reaction Engineering
• Process Intensification
• Biomass Conversion
• +۴ مورد دیگر

Professor Anh Phan is a faculty member at Newcastle University specializing in sustainable chemical engineering. His research focuses on process intensification, biomass conversion, and waste valorization for renewable energy and materials, evidenced by over 50 publications spanning 2007-2025 including two 2025 papers. His primary research areas include: Reaction Engineering: Advancing oscillatory baffled reactors for biodiesel production, glycerolysis, and reactive crystallization Waste-to-Value Conversion: Catalytic pyrolysis of plastic waste, biomass gasification for hydrogen, and aerogel synthesis from agricultural residues Advanced Materials: Developing carbon nanostructures for supercapacitors and nanotheranostic drug delivery systems Analysis of his 15 most recent publications reveals strong trends in computational optimization of thermochemical processes, circular economy applications for plastic/agricultural waste, and interdisciplinary expansion into sustainable agriculture and biomedical engineering. His work consistently bridges fundamental reaction engineering with practical sustainability challenges through innovative reactor design and waste valorization strategies.