جست‌وجوی استاد و پژوهشگر

• Industrial Energy Systems
• Process Integration
• Operability and Flexibility Analysis
• +۴ مورد دیگر

Elin Svensson is a Senior Researcher in the Department of Energy Technology at Chalmers University of Technology, Sweden. Her research focuses on industrial energy systems , process integration , and flexibility analysis for managing uncertainties in energy prices and technological development. She has contributed extensively to studies on biorefineries , carbon capture , and heat recovery in pulp mills and oil refineries. Affiliation: Chalmers University of Technology Department: Energy Technology Role: Senior Researcher Research Interests: Elin's work emphasizes improving operability , availability , and flexibility in industrial processes through advanced modeling, optimization, and techno-economic assessments. Key areas include: Heat integration and recovery in energy-intensive industries Carbon capture and storage (CCS/CCUS) for negative emissions Multiscale biorefinery modeling and sustainability assessment Uncertainty analysis and strategic investment optimization Scientific Awards: Not explicitly mentioned. Grants and Collaborations: Involved in projects funded by the European Commission (ACCSESS), the Swedish Energy Agency , and industry partners like Södra and RISE Research Institutes of Sweden . Publications: Over 78 publications since 2008, with recent trends covering: Carbon capture integration in pulp mills and combined heat/power plants Heat recovery optimization under variable conditions Flexibility analysis with multiple uncertainty sources Electrification strategies for process industries Biorefinery techno-economic modeling Operability challenges in industrial retrofits

Pierre Deymierمشاهده پروفایل

استاد

• Topological Acoustics
• Acoustic Metamaterials
• Phononic Crystals
• +۱۲ مورد دیگر

Pierre Deymier is a Professor of Materials Science and Engineering at the University of Arizona, where he also serves as Director of the NSF-funded New Frontiers of Sound Science and Technology Center (NewFoS). He holds affiliations with the BIO5 Institute, the Biomedical Engineering Program, and the Applied Mathematics Graduate Interdisciplinary Program, reflecting his interdisciplinary impact. His educational background includes a PhD in Ceramics with a minor in Mathematics from the Massachusetts Institute of Technology (1985) and an Engineering degree in Materials Science from Université des Sciences et Techniques du Languedoc, France (1982). Deymier's research focuses on the theoretical and computational aspects of materials, particularly in acoustic metamaterials, phononic crystals, topological acoustics, and biomaterials . His work bridges physics, engineering, and applied mathematics to explore how sound can be manipulated for next-generation technologies. He investigates how topological principles can protect acoustic waves from scattering, enabling robust signal transmission for computing, sensing, and telecommunications. The available publications indicate a clear trend toward foundational and transformative work in the emerging science of sound. His books lay the theoretical groundwork for topological acoustics and multiscale computational materials engineering , emphasizing coherence, duality, and integration across disciplines. These works suggest a long-term vision of unifying physical principles across scales and systems. Editor, Phononic Crystals and Acoustic Metamaterials (2013) Co-Editor, Multiscale Paradigms in Integrated Computational Materials Science and Engineering (2015) Author, Sound Topology, Duality, Coherence and Wave-Mixing (2017) Deymier has led major research initiatives, including a $30 million NSF Science and Technology Center grant to establish NewFoS, which supports interdisciplinary collaboration across institutions such as Caltech, UCLA, Georgia Tech, and CUNY. His leadership extends to education and workforce development, with goals to train future scientists in topological acoustics and create accessible educational resources. The center emphasizes broadening participation, mentoring ecosystems, and knowledge transfer to industry and policymakers. He previously served as Head of the Department of Materials Science and Engineering (2011–2021) and Director of the School of Sustainable Engineered Systems (2009–2017), demonstrating sustained institutional leadership. The NewFoS center operates shared multiscale acoustic testing facilities, adheres to FAIR data principles, and actively manages intellectual property to accelerate innovation.

Tony F. Chanمشاهده پروفایل

استاد

• Mathematical Image Processing
• Computer Vision
• Computational Brain Mapping
• +۱۴ مورد دیگر

Tony F. Chan is currently President and Professor of Mathematics and Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST). He holds the title of Professor Emeritus in the Department of Mathematics at the University of California, Los Angeles (UCLA), where he previously served as Professor with joint appointments in Computer Science and Bioengineering. He was Dean of the Division of Physical Sciences at UCLA (2001–2006) and Assistant Director at the National Science Foundation (NSF) for Mathematics and Physical Sciences (2006–2009). President, HKUST Professor, Mathematics & Computer Science and Engineering, HKUST Professor Emeritus, Mathematics, UCLA Assistant Director, NSF (2006–2009) Dean, Division of Physical Sciences, UCLA (2001–2006) His research interests are centered around mathematical image processing, computer vision, computational brain mapping, and numerical algorithms. He has made seminal contributions to variational methods, total variation regularization, level set methods, and multiscale computational techniques. His work bridges pure mathematics with applications in biomedical imaging, VLSI design, and scientific computing. His recent publications focus on image segmentation, inpainting, brain surface mapping, and nonlocal filtering. These works demonstrate a strong trend toward geometric and variational models for image analysis, with increasing emphasis on medical and biological applications such as neuron tracking and cortical mapping. One of the most cited mathematicians (ISI Highly Cited) Chan has mentored over 25 PhD students and 15 postdoctoral fellows, contributing significantly to the training of next-generation researchers in applied mathematics and computational science. He has led major research initiatives including the Institute for Pure & Applied Mathematics (IPAM) and has been involved in numerous professional services at national and international levels. His work has been supported by major funding agencies including the NSF. He leads the Image Processing Group at UCLA and has been instrumental in advancing interdisciplinary research at the intersection of mathematics, engineering, and neuroscience.

Georges Ayoubمشاهده پروفایل

دانشیار

• Materials Science
• Mechanics of Materials
• Fracture and Fatigue
• +۸ مورد دیگر

Georges Ayoub serves as Associate Professor and Director of the Human-Centered Engineering Design program within the Industrial and Manufacturing Systems Engineering department at the University of Michigan-Dearborn's College of Engineering and Computer Science. His research bridges fundamental materials science with industrial applications across automotive, aerospace, defense, and biomedical sectors. Dr. Ayoub's educational background includes: Ph.D. in Mechanics of Materials from University of Lille M.S. in Mechanical Engineering from University of Lille B.S. in Material Science for Mechanical Engineering from University of Rennes His research centers on predictive material modeling for manufacturing and in-service performance, with core expertise in fracture/fatigue of polymers/composites, welding, metal forming, and additive manufacturing. Current work integrates experimental characterization with multi-scale computational models to address challenges in extreme environments, cyclic loading, and microstructural evolution. Key applications target automotive lightweighting, energy systems durability, and biomedical material performance. Recent publications (2024) reveal three emerging trends: (1) Industry 5.0 digital twins for sheet metal processes, (2) dislocation-grain boundary interactions in advanced steels, and (3) strain hardening in ultrafine-grained metals. Earlier work (2010-2017) established foundational models for polymer visco-hyperelasticity, rubber fatigue, and dissimilar material welding - consistently emphasizing physically-based constitutive frameworks applicable to industrial design. Dr. Ayoub actively mentors 17 graduate students across PhD and Master's programs while securing significant funding from Qatar National Research Fund (QNRF), French Ministry of Higher Education, and Ford Motor Company. Current projects include fatigue life prediction of elastomers, thermoplastic cyclic behavior modeling, magnesium alloy superplasticity, and lithium-ion battery separator aging. He directs the Circular Materials and Advanced Manufacturing (CMAM) Lab, which pursues four integrated research thrusts: multi-scale material modeling, AI-driven manufacturing optimization, polymer/elastomer fatigue prediction, and plastic recyclability for circular economy. The lab maintains active collaborations with defense, energy, automotive, and biomedical industries.

• Optimization Algorithms
• Network Flows
• Large Sparse Systems
• +۵ مورد دیگر

Donald Goldfarb is the Alexander and Hermine Avanessians Professor in the Department of Industrial Engineering and Operations Research at Columbia University. His research spans optimization algorithms, network flows, and large-scale computational methods, with applications in finance, image processing, and machine learning. Research Focus: Goldfarb specializes in developing efficient algorithms for convex and nonconvex optimization problems, including linear, quadratic, semidefinite, and second-order cone programming. His work extends to robust optimization for financial modeling and innovative methods for image restoration using total variation techniques. Publication Trends: His recent research emphasizes optimization in computational imaging (e.g., image decomposition and restoration) and finance (e.g., robust portfolio management). Algorithmic contributions include interior-point methods, Bregman iterations, and large-scale convex optimization techniques.

Mohammad Rafieeمشاهده پروفایل

استاد مدعو

• Advanced materials
• Sustainable materials
• Electronic materials
• +۱۲ مورد دیگر

Mohammad Rafiee is an Adjunct Professor in the Department of Mechanical Engineering at the Faculty of Engineering, University of Ottawa. He holds affiliations with City University of Hong Kong, École Polytechnique de Montréal, National Research Council Canada, and Advanced Microelectronic Technologies, Sanmina. His research focuses on Advanced materials (graphene, carbon nanotubes, piezoelectric composites) Additive manufacturing (multi-material 3D/4D printing, coaxial deposition) Mechanical/thermal analysis of composite structures Smart devices (sensors, actuators, energy harvesters) Numerical modeling (finite element analysis, nonlinear dynamics) Recent publications highlight trends in Nonplanar additive manufacturing of piezoelectric devices Multiscale graphene/epoxy composites for vibration damping Thermal stability of nanomaterial-reinforced laminates 4D printing applications Structural health monitoring via machine learning Development of polymer-derived ceramics Scientific awards include Ontario Trillium Scholarship Fonds de Recherche du Québec – Nature et technologies (FRQNT) World’s Top 2% Scientists (Stanford, since 2020) Top 1% most cited authors in materials science

• Atmospheric sciences
• Climate change science
• Geology
• +۳ مورد دیگر

Sebastian Hoch is an Adjunct Associate Professor in Atmospheric Sciences at the University of Utah. His research focuses on boundary layer processes in complex terrain , particularly examining radiation and surface energy balance effects on boundary layer evolution and terrain-driven flows. Education: PhD in Natural Sciences (Earth Science) from ETH Zurich (2006) Languages: German His research integrates atmospheric sciences , climate change science , and geophysics , with specific emphasis on pollution monitoring , mountain meteorology , and fog dynamics . Recent publications analyze freezing fog microphysics, coastal fog formation mechanisms, and complex terrain wind energy potential using WRF-COAMPS modeling. Grant-funded projects include: COLD FOG AMONGST COMPLEX TERRAIN (CFACT) 2021-2025 RED BUTTE AIR EXCHANGE STUDY 2019-2020 OWENS LAKE LIDAR STUDY 2018 MODELING FOR FASMEE 2018-2021 MATERHORN program 2011-2017 As educator, he has taught Experiential Learning II and Mountain Weather & Climate courses (2023-2024). His work combines extensive field measurements with high-resolution modeling to address atmospheric boundary layer dynamics in complex environments.

Janina Datzمشاهده پروفایل

پژوهشگر ارشد

• Computational Biomechanics
• Solid Mechanics
• Coronary Artery Disease Modeling
• +۲ مورد دیگر

Janina Datz serves as a Research Fellow at the Institute for Computational Mechanics (LNM) at Technical University of Munich since 2020, where she conducts research in computational biomechanics for interventional cardiology and teaches the Numerical Biomechanics practical course (SS 2022-2024). Her academic qualifications include: Master of Science in Mechanical Engineering, TUM (2020) Research Practicum, University of New South Wales, Sydney (2018) Bachelor of Science in Mechanical Engineering, TUM (2017) Her research specializes in computational modeling of coronary artery disease and physics-informed simulations of angioplasty procedures. She develops mixed-dimensional finite element frameworks for stent-artery interactions, integrating medical imaging data to create personalized predictive models for preventative cardiology. Her work bridges solid mechanics, contact mechanics, and clinical applications to optimize interventional outcomes. Recent publications reveal a concentrated focus on patient-specific cardiovascular simulations, with dominant themes in finite element analysis of stent deployment, in-stent restenosis prediction, and computational frameworks for angioplasty planning. Key methodological contributions include mixed-dimensional contact mechanics and integration of coronary CT angiography data. She actively mentors students across bachelor's, master's, and term paper levels, supervising projects on coronary constitutive modeling, perivascular tissue mechanics, stent malapposition analysis, and computational frameworks for catheter initialization. Her academic guidance occurs within TUM's Numerical Mechanics curriculum. Her research is supported through collaboration with the German Heart Center Munich's Cardiology Department (Prof. Schunkert) under the joint initiative 'The future of medicine, AI - Heart Center' with Munich Institute of Robotics and Machine Intelligence (MIRMI), focusing on AI-driven cardiovascular interventions. As a core member of LNM directed by Prof. Wolfgang A. Wall, she contributes to a multidisciplinary team advancing computational mechanics for biomedical applications, utilizing high-performance computing infrastructure at TUM's Garching campus.

• Computational Mechanics
• Micromechanics
• FFT-based Methods
• +۴ مورد دیگر

Lennart Risthaus serves as a Researcher at the Department of Engineering Mathematics within the School of Civil Engineering at the University of Duisburg-Essen, Germany. He joined the university in September 2023 after previously working as a Researcher at the Institute of Engineering Mechanics, Continuum Mechanics Division at the Karlsruhe Institute of Technology (KIT) from February 2021 to August 2023. His academic appointments demonstrate a consistent trajectory in computational mechanics research within German technical universities. Dr. Risthaus completed his Bachelor's degree in Mechanical Engineering with a focus on Continuum Mechanics (2014-2018) and Master's degree in Mechanical Engineering with majors in Medical Technology and Applied Mechanics (2018-2021), both from the Karlsruhe Institute of Technology. His educational journey included an Erasmus exchange semester at the Royal Institute of Technology (KTH) in Stockholm and practical experience through internships at Reden B.V. in the Netherlands and Admedes GmbH in Germany, where he worked on finite element simulations and material testing. His research specializes in advanced computational techniques for material science, particularly FFT-based homogenization methods in micromechanics. Risthaus has developed innovative approaches for implementing Dirichlet boundary conditions in FFT-based computational frameworks and pioneered applications of tensor-train formats to enhance computational efficiency. His work bridges theoretical mathematics with practical engineering applications, focusing on solving complex boundary value problems in material behavior analysis. An analysis of his publication record reveals a clear research trajectory toward increasingly sophisticated computational methods for micromechanical simulations. His recent work demonstrates growing expertise in thermal homogenization problems and the integration of tensor-train methods with traditional FFT approaches. The consistent publication in high-impact journals like Computational Mechanics and International Journal for Numerical Methods in Engineering indicates recognition within the computational mechanics community. Risthaus actively contributes to the academic community through presentations at major international conferences including the GAMM Annual Meetings, ECCOMAS Young Investigators Conference, and the International Conference on Computational Plasticity (COMPLAS). His teaching responsibilities include leading exercises and tutorials for Mathematics courses for Civil Engineering students at both undergraduate and graduate levels, demonstrating his commitment to engineering education alongside his research activities.

Ralph Aldredgeمشاهده پروفایل

استاد

• Combustion
• Fluid Dynamics
• Bio-Transport
• +۳ مورد دیگر

Ralph Aldredge is a Professor in the Department of Mechanical and Aerospace Engineering at the University of California, Davis, and serves as Executive Associate Dean for the College of Engineering, overseeing undergraduate studies and facilities planning. His leadership encompasses enrollment management, academic advising, retention programs, ABET accreditation, and strategic capital projects for engineering facilities. He earned a Bachelor of Science in Mechanical Engineering and French from Carnegie-Mellon University (1985), a Master of Arts in Mechanical and Aerospace Engineering from Princeton University (1988), and a Doctor of Philosophy in the same field from Princeton University (1990). Dr. Aldredge's research focuses on combustion, fluid dynamics, and bio-transport , with dual emphases on bio-fluid dynamics (vascular blood flow) and front propagation in biological tissues (avascular-tumor dynamics) and reacting gases (flame propagation). His work integrates computational modeling to solve complex problems in energy and biomedical systems, including the development of the Level-Set app for flame propagation simulation. Analysis of his recent publications reveals a consistent interdisciplinary trajectory bridging combustion engineering and biomedical applications. Key themes include flame propagation modeling in complex flows, tumor growth dynamics influenced by extracellular matrix components, and optimization of medical devices for drug delivery and cancer treatment. His research demonstrates how fluid dynamics principles can be applied across energy systems and healthcare innovation. No scientific awards were explicitly documented in the source materials. Dr. Aldredge advises graduate students in combustion and bio-fluid dynamics while driving systemic improvements in engineering education. His administrative leadership has shaped holistic-review undergraduate admissions policies adopted system-wide across the University of California, significantly impacting enrollment management and academic support structures. As Associate Dean for Facilities and Capital Planning, he directs strategic development of engineering spaces and resources, ensuring alignment with academic priorities while maintaining safety compliance and operational efficiency for the College of Engineering.

Gábor Závodszkyمشاهده پروفایل

استادیار

• Digital Twins in Healthcare
• High-Performance Computing
• Energy Efficient HPC Simulations
• +۴ مورد دیگر

Gábor Závodszky is an Assistant Professor at the Computational Science Lab of the University of Amsterdam. His research focuses on interdisciplinary applications of high-performance computing (HPC) in biomedical contexts, particularly through Digital Twins in Healthcare , Energy Efficient HPC Simulations , and Multi-Scale Modeling . Keywords: Digital Twins in Healthcare, High-Performance Computing, Energy Efficient HPC Simulations His work integrates HPC techniques with fundamental biomedicine and clinical applications to address complex problems in platelet aggregation, hemodynamics, and vascular physiology. Recent projects include ThromboRisk (EU MSCA, 2025), Vascular Immunology (Co-PI, 2025), and GEMINI (EU Horizon, Co-PI, 2024). The majority of his publications focus on platelet mechanics , hemodynamic simulations , and HPC optimization in biomedical contexts. Key subfields include computational fluid dynamics , cellular modeling , medical implant simulations , and vascular pathology . Dr. Závodszky's lab has recently expanded with funded projects totaling over 7.4M EUR, including a Marie Skłodowska-Curie doctoral network and a Vascular Immunology consortium. His team includes PhD candidates Vera Zut and Giulia Pederzani, and he has supervised the successful defense of Dr. Yue Hao's thesis. Recent Grants: EU MSCA (2025), MMD Impulse Grant (2024), EU Horizon (2024)

Paride Azzariمشاهده پروفایل

پژوهشگر

• Food Processing
• Biophysics
• Soft Matter Physics
• +۳ مورد دیگر

Dr. Paride Azzari is a researcher in the Sustainable Food Processing group at ETH Zurich , focusing on interdisciplinary approaches at the intersection of food science, biophysics, and soft matter physics. His work emphasizes scalable and sustainable bioprocessing techniques, particularly for microalgae and plant-based proteins. Key Research Areas : Pulsed electric field processing, liquid-liquid crystalline phase separation, and viscoelastic material behavior. Methodologies : Multiphysics simulations, experimental rheology, and open-source software development (e.g., Extrudion for tensile testing analysis). Recent publications highlight his contributions to optimizing biocompound extraction, understanding amyloid fibril organization, and advancing environmental bioremediation using agricultural waste. Notably, his work bridges fundamental soft matter research with industrial food processing applications.

Véronique Aubinمشاهده پروفایل

استاد

• Mechanical behavior of metallic materials
• Crystalline plasticity
• Fatigue crack initiation
• +۷ مورد دیگر

Véronique Aubin is a Professor at CentraleSupélec, where she leads research on mechanical behavior of materials. She earned her degree in Mechanics of Materials from École Normale Supérieure de Cachan (1998) and a PhD from University of Lille (2001). After serving as Assistant Professor at École Centrale de Lille (2003), she joined CentraleSupélec in 2010. She directs the Paris-Saclay Mechanics Laboratory, focusing on experimental and computational analysis of material performance. Research Expertise: Her work spans mechanical characterization, damage modeling, and microstructure-property relationships in metallic systems. Key areas include: Crystalline plasticity and fatigue mechanisms In-situ observation techniques for deformation analysis Behavior of wires/cables under complex loading Model-experiment correlation for material calibration Damage evolution in stainless steels and alloys Publication Focus: Recent articles demonstrate concentrated work on cyclic loading responses in duplex stainless steels, crystal plasticity modeling, fatigue damage in structural components, and superconducting materials. Studies frequently combine multiscale experimentation with computational frameworks to decode deformation mechanisms.

Amy Throckmortonمشاهده پروفایل

استاد

• Biofluid Mechanics
• Medical Device Development
• Artificial Organs
• +۳ مورد دیگر

Amy Throckmorton is a Professor at the School of Biomedical Engineering, Science and Health Systems at Drexel University. She leads an interdisciplinary research program focused on therapeutic device innovation for pediatric heart failure, combining engineering and clinical practice. Her work has received federal and industry funding, and she held a Visiting Professorship in the Department of Cardiac Surgery at Thomas Jefferson University Hospital. Education Fellow, Cardiothoracic Surgery, Indiana University (2007) PhD, Biomedical Engineering, University of Virginia (2006) MS, Biomedical Engineering, University of Virginia (2002) Emergency Medical Technician (2000) BS, Chemical Engineering, University of Virginia (1998) Her research interests include biofluid mechanics , computational cardiovascular modeling , and medical device development for pediatric patients. She specializes in fluid-structure interaction studies, patient-specific anatomical modeling, and quantifying blood trauma in artificial devices. Her work also addresses human factors engineering and pediatric circulatory support . The 15 most recent articles highlight a focus on pediatric total artificial heart (TAH) design , hybrid blood pump innovation , and computational modeling of congenital heart conditions . These publications emphasize bench-to-bedside translation , hydrodynamic optimization , and device integration with clinical needs . Scientific Awards 2020 Lindback Teaching Award ELATES Program Fellow Dr. Throckmorton’s research is supported by grants from the National Institutes of Health , National Science Foundation , American Heart Association , and industry partners like Medtronic . She serves as Associate Editor for journals including IEEE Transactions on Biomedical Engineering and Artificial Organs . Her lab, the BioCirc Research Lab , develops life-saving technologies such as dual-pump systems, hydrogel-based shunts, and magnetically levitated blood pumps. These projects address critical gaps in pediatric cardiovascular care, including Fontan circulation support and dysfunctional single ventricle physiology .

Abdel Rahman Abdel Fattahمشاهده پروفایل

پژوهشگر

• Mechanobiology
• Tissue Engineering
• Extracellular Matrix (ECM) Dynamics
• +۷ مورد دیگر

Abdel Rahman Abdel Fattah is a Principal Investigator at CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna, Austria. He previously held a postdoctoral position at CeMM (2022–2024) and KU Leuven (Belgium) (2018–2022). Education: BSc and PhD in Mechanical Engineering from McMaster University (Canada) Current Role: Lab Head at CeMM since 2024 Research Interests focus on multiscale mechanobiology, specifically how cells use mechanical forces and extracellular matrix (ECM) dynamics to coordinate tissue organization. His group combines bioengineered mechanical stimulation tools with advanced imaging and computational models to study: Dynamic Cellular and ECM Interactions in health and disease Mechano-Transcriptomic Mapping using spatial transcriptomics and atomic force microscopy (AFM) Computational Modeling of tissue organization via reaction-diffusion systems and positional information theory Disease Applications: Traumatic brain/spinal cord injuries and liver fibrosis Publications highlight interdisciplinary work across mechanobiology, bioengineering, and vascular pathology, with a focus on magnetic actuation, organoid modeling, and ECM dynamics. Articles appear in Nature Communications , Cell Reports , and Lab on a Chip . Recent studies (2024–2025) explore force-mediated vascular lesion growth and transcriptional hallmarks of aging using single-cell analysis. Technological Innovations include: Magnetic Microactuators for local organoid stimulation 3D Soft Microfluidic Systems for perfused tissues Diamagnetophoresis-Based Bioprinting Single-Cell Transcriptomic Atlases for mechanical stress responders