جست‌وجوی استاد و پژوهشگر

Jeff Derbyمشاهده پروفایل

استاد

• Transport Phenomena
• Advanced Material Processing
• Numerical Simulations
• +۹ مورد دیگر

Jeff Derby is a Professor at the University of Minnesota within the College of Science and Engineering , affiliated with the Department of Chemical Engineering and Materials Science . He leads the Derby Group , focusing on computational modeling of materials processing. His research integrates transport phenomena , phase change , and reaction dynamics to advance crystalline material growth techniques. Contact: derby@umn.edu | 612/625-8881 | 239 Amundson Hall, 421 Washington Avenue SE, Minneapolis, MN 55455 Research Interests span nonlinear phenomena in crystal growth , microstructure evolution , defect formation , and high-pressure growth processes for semiconductors (e.g., II-VI crystals), silicon, sapphire, and diamond substrates. His group develops open-source computational tools to model incompressible fluid dynamics , heat/mass transfer , and radiation heat transfer . Scientific Awards : Distinguished McKnight University Professor Labs & Collaborations : The Derby Group collaborates with experimental teams to validate simulations and optimize materials processing across applications in semiconductors , photovoltaics , and optical systems .

• Biomedical Electronics
• In-vitro Diagnostics
• Microfluidics
• +۳ مورد دیگر

Prof. Dr. Oliver Hayden holds the Heinz-Nixdorf-Chair for Biomedical Electronics at the TUM School of Computation, Information and Technology, Technical University of Munich. His research develops innovative in-vitro diagnostic techniques using interdisciplinary approaches spanning electronics, optics, microfluidics, and materials science. Current investigations focus on magnetic/optical diagnostics for blood cell analysis. Education includes a biochemistry degree and doctorate (1999) from the University of Vienna, postdoctoral work at Harvard University, and a teaching qualification in Analytical Chemistry. Professional experience encompasses positions at IBM Research Zurich and Siemens Healthcare, where he pioneered organic electronic techniques for medical diagnostics prior to joining TUM in 2017. Research explores biomedical electronics, microfluidic systems, and materials science for diagnostic applications. Recent publications demonstrate strong focus on quantitative imaging and magnetic cytometry for blood analysis, particularly in point-of-care diagnostics, COVID-19 severity assessment, and leukemia detection. Scientific Awards: European Inventor Award (2017) AMA Innovation Award (2016) Siemens NTF Award for Medical Imaging Patents (2013) Young Investigator Award, Society of Austrian Chemists (2002)

Harald Kleinمشاهده پروفایل

استاد

• Process Engineering
• Power Plant Technology
• Thermodynamics
• +۳ مورد دیگر

Prof. Dr.-Ing. Harald Klein holds the Professorship of Plant and Process Engineering at the TUM School of Engineering and Design (Technical University of Munich). His research focuses on process engineering analysis and synthesis, particularly thermal/chemical unit operations applied to power plant technology. Develops thermodynamic substance models & simulation tools Expertise in industrial process design and optimization Collaborates on hydrogen liquefaction and biofuel production Research trends: 2016-2017 publications show emphasis on sustainable energy systems Combines traditional process engineering with modern optimization Key domains: hydrogen technology, chemical reactors, and thermal systems

Curt von Keyserlingkمشاهده پروفایل

دانشیار

• Quantum Many-Body Systems
• Topological Phases of Matter
• Quantum Information Theory
• +۴ مورد دیگر

Dr. Curt von Keyserlingk is a Reader (equivalent to Associate Professor) in theoretical physics at King's College London, based in the Theory & Simulation of Condensed Matter Group within the Department of Physics, Faculty of Natural, Mathematical & Engineering Sciences. His research focuses on understanding complex quantum systems through both analytical and numerical approaches. His educational background includes an MMath from the University of Cambridge, followed by DPhil studies at the University of Oxford under Professor Steve Simon. Prior to his current position at King's, he held a postdoctoral research fellowship at the Princeton Center for Theoretical Science and was a lecturer at the University of Birmingham. Dr. von Keyserlingk's research centers on interacting quantum systems, studying exotic phenomena such as superconductivity, topological order, localization, and time crystallinity. His work bridges the gap between fundamental quantum mechanics and practical applications in quantum computing. He develops both analytical frameworks and numerical tools to understand how quantum systems evolve and behave under various conditions, with particular emphasis on non-equilibrium dynamics, quantum information processing, and topological phases of matter. His recent publications reveal a strong focus on quantum many-body systems, with particular attention to topological phases in three dimensions, operator dynamics in quantum systems, and the interplay between dissipation and quantum information. His work spans from fundamental theoretical questions about quantum thermalization to practical applications in quantum error correction and quantum computing architectures. Dr. von Keyserlingk is the recipient of a prestigious UKRI Future Leaders Fellowship, which supports his research on robust many-body quantum phenomena. His current projects include 'Robust Many-body Quantum Phenomena Through Driving And Dissipation' (2025-2028) and 'Robust many-body Quantum phenomena through Driving and Dissipation' (2022-2025). He actively supervises PhD students and runs the physics intercollegiate programme between King's College London and Royal Holloway, University of London. His research group focuses on developing new theoretical frameworks to understand quantum systems that could potentially be harnessed for quantum computing applications.

• Multi-Phase Flow
• Turbulence
• Lagrangian Dynamics
• +۳ مورد دیگر

Rohith Jayaram is a Postdoctoral Fellow in the Department of Chemical Engineering at the Norwegian University of Science and Technology (NTNU), specializing in multi-phase flows and turbulence dynamics. His research focuses on particle-laden flows, bubble-turbulence interactions, and computational fluid dynamics. Education: PhD in Particle suspensions from NTNU MSc in Aerospace Mechanics from ISAE-SUPAERO, France BEng in Mechanical Engineering from BMS College of Engineering, India His work investigates Lagrangian dynamics of solid particles and spheroids in evolving Taylor-Green vortex flows, with recent emphasis on bubble-turbulence interactions. He develops numerical algorithms for flow simulations and contributes to turbulence modeling in both 2D and 3D systems. Research trends include computational modeling of multi-phase flows, DNS validation of particle behavior in unsteady vortices, and extension to spheroid alignment dynamics. Publications span leading journals like Physics of Fluids and Physical Review E . Scientific Awards: Selected as Featured Article in Physics of Fluids (2020) Outreach activities include conference lectures at the European Fluid Dynamics Conference (2024) and European Turbulence Conference (2019). Contact: 238 Kjemiblokk 5 Gløshaugen, Trondheim; rohith.jayaram@ntnu.no

• Bio-inspired robotics
• Soft robotics
• Magnetic micro-robotics
• +۱ مورد دیگر

Hamidreza Marvi is an Associate Professor in the School for Engineering of Matter, Transport and Energy at Arizona State University , with additional affiliations as a Senior Global Futures Scientist . His work bridges bio-inspired robotics , soft robotics , and mechanics of animal locomotion . Education : Ph.D. in Mechanical Engineering (Georgia Tech, 2013), M.S. in Biomedical Engineering (Sharif University, 2007), M.S. in Mechanical Engineering (Clemson, 2009), B.S. in Mechanical Engineering (Iran University of Science and Technology, 2004). Marvi’s research focuses on biological systems interacting with solid, granular, and fluidic environments , translating these insights into bio-inspired robotic systems for search-and-rescue, medical, and planetary exploration. His work has been featured in Science , PNAS , and popular media like the New York Times and BBC . Recent publications highlight trends in magnetic microrobotics , soft robot control , and locomotion in granular media , with applications in medical devices, underwater inspection, and space exploration. His BIRTH Lab develops programmable interfacial structures and adaptive locomotion systems. Scientific Awards : KEEN Professorship (2017), Peebles Award (2015), Sigma Xi Best Ph.D. Thesis (2014), TechSTAR Award (2012), Emerald Publishing Literati Network Award (2011). Marvi has supervised teams for NASA competitions, co-organized robotics workshops, and served as a reviewer for journals like Nature-Scientific Reports and conferences including IEEE-IROS. His teaching portfolio includes courses in system dynamics, robotic control, and applied projects .

Christian Engwerمشاهده پروفایل

استاد

• Partial Differential Equations
• Numerical Analysis
• Finite Element Methods
• +۷ مورد دیگر

Christian Engwer is a full Professor at the University of Muenster in the Institute for Applied Mathematics, specializing in Analysis and Numerics. He leads the Engwer Group focused on Applications of Partial Differential Equations and is actively involved in the Cells in Motion initiative as a supervisor in the CiM-IMPRS Graduate Programme. His research centers on developing numerical methods for partial differential equations, particularly addressing challenges in complex geometries and multi-physics applications. He specializes in Unfitted Discontinuous Galerkin methods, which allow simulations on complex geometries without requiring domain-fitted meshes. His work spans porous media modeling, biological systems, and bioelectromagnetism applications, with significant contributions to EEG/MEG forward modeling in neuroscience. Analysis of his recent publications reveals a strong focus on model order reduction techniques, stabilized numerical schemes for cut-cell meshes, and applications in bioelectromagnetism. His work demonstrates a consistent trajectory toward developing robust, efficient numerical methods applicable to real-world problems in medical imaging and biological modeling, with increasing emphasis on high-performance computing implementations. Professor Engwer actively supervises doctoral students, with recent completions including Lukas Renelt (2025), Michael Wenske (2021), and Maria Carla Piastra (2019), among others working on topics related to numerical methods and biomedical applications. He leads several major research projects including BrainStorm: Highly Extensible Software for Advanced Electrophysiology and MEG/EEG Imaging (NIH-funded since 2019), multiple EXC 2044 Cluster of Excellence projects through 2025, and the InterKI interdisciplinary teaching program on machine learning and artificial intelligence. His group develops several important software packages including DUNE (Distributed and Unified Numerics Environment), duneuro (for bioelectromagnetism applications), and TPMC (Topology Preserving Marching Cubes). These tools support research in numerical methods and their applications to complex scientific problems.

Kathleen J. Stebeمشاهده پروفایل

استاد

• Soft Matter
• Fluid Dynamics
• Interfacial Science
• +۴ مورد دیگر

Kathleen J. Stebe is a Professor and the Richer and Elizabeth Goodwin Professor of Engineering and Applied Science at the University of Pennsylvania's School of Engineering and Applied Science. She leads the Stebe Group, focusing on Chemical and Biomolecular Engineering with a research agenda centered on complex fluid interfaces and directed assembly in soft matter.

Sean B. Anderssonمشاهده پروفایل

استاد

• Optimal Estimation
• System Identification
• Single Particle Tracking
• +۴ مورد دیگر

Sean B. Andersson is a Professor in the Department of Mechanical Engineering at Boston University's College of Engineering. His research focuses on optimal estimation, system identification, single particle tracking, robotics, and control theory. He earned his Ph.D. from the University of Maryland, College Park. Education : Ph.D. in Mechanical Engineering (University of Maryland, College Park) His work integrates control algorithms with applications in microscopy, nanofabrication, and multi-agent systems. Recent research trends highlight persistent monitoring, trajectory optimization, MRI reconstruction, and dip-pen nanolithography. He has mentored numerous graduate and undergraduate students, many of whom now hold positions at institutions like MIT Lincoln Labs, University of Pennsylvania, and Juniper Networks. Scientific Contributions : Developed robust multi-agent control policies for data harvesting Advanced single particle tracking with real-time feedback Innovated in non-raster scanning probe microscopy Optimized sensor scheduling via minimax and semidefinite programming His lab team combines theoretical and applied research in robotics and control systems, with alumni contributing to academia, industry, and research labs globally.

Sara Baratchiمشاهده پروفایل

دانشیار

• Mechanobiology
• Microfluidics
• Cardiovascular Disease
• +۵ مورد دیگر

Associate Professor Sara Baratchi heads the Mechanobiology and Microfluidics Laboratory at the Baker Heart and Diabetes Institute and co-leads the Heart Attack Research Program. She holds academic appointments as a supervisor at RMIT University and the University of Melbourne, and is the Alice Baker and Eleanor Shaw Gender Equity Fellow. Her interdisciplinary work bridges engineering, immunology, and clinical science to address cardiovascular pathologies through innovative bioengineering approaches. Dr. Baratchi's research centers on mechanotransduction in vascular and immune cells, particularly how hemodynamic forces and extracellular matrix stiffness regulate cellular behavior in diseases like atherosclerosis and calcific aortic valve disease. She pioneers organ-on-a-chip platforms that replicate human vascular systems under pathological conditions, integrating microfluidics, single-cell omics, and patient-derived samples to develop ethical alternatives to animal testing and identify novel therapeutic targets. Her recent publications demonstrate a cohesive research trajectory focused on Piezo1-mediated mechanosensing, microfluidic device innovation, and the pathophysiological impact of altered hemodynamics. Key themes include endothelial cell responses to shear stress, substrate stiffness effects on vascular cells, and the development of dynamic flow systems for cardiovascular modeling, all aimed at translating mechanobiological insights into clinical interventions. Dr. Baratchi has received significant recognition including: Australian Vascular Biology Society Achievement and Career Development Award (2023) Alice Baker and Eleanor Shaw Gender Equity Fellowship (2023) ARC Discovery Early Career Researcher Award (2017-2020) Best Basic Research Award at Baker Institute (2020) RMIT University Established Researcher Award (2022) She has secured over $2.5 million in competitive funding from ARC and NHMRC, mentoring 20+ PhD researchers who now lead in academia and industry. As President Elect of the Australian Society for Mechanobiology and committee member for MicroTAS 2024-2025, she actively shapes the field through leadership and international collaboration. Her laboratory develops cutting-edge microfluidic platforms adopted globally, collaborating with institutions across 11+ disciplines. Current work focuses on dissecting how matrix stiffness and hemodynamic alterations in cardiovascular conditions drive pathological cellular crosstalk, aiming to establish foundational knowledge for non-invasive disease-modifying therapies.

Mohamed S. El-Genkمشاهده پروفایل

استاد

• Nuclear Engineering
• Thermal-Hydraulics
• Space Nuclear Power Systems
• +۱۲ مورد دیگر

Mohamed S. El-Genk is a Regents’ Professor and Distinguished Professor in the Department of Nuclear Engineering, Mechanical Engineering, and Chemical & Biological Engineering at the University of New Mexico (UNM). He also serves as Founding Director of the Institute for Space and Nuclear Power Studies (ISNPS) and is affiliated with the Configurable Space Microsystems Innovations & Applications Center (COSMIAC). Education: Ph.D. in Nuclear Engineering (UNM, 1978), M.S. in Nuclear Engineering (University of Alexandria, 1975), B.S. in Nuclear Engineering (University of Alexandria, 1968) His research spans nuclear reactor thermal-hydraulics, space nuclear power systems, energy conversion, heat pipes, boiling heat transfer, two-phase flow, radiation shielding, and molecular dynamics modeling of nuclear materials. He has pioneered thermal management solutions for terrestrial and space applications. The 15 most recent publications focus on reactor design optimization (e.g., SLIMM-1.2, VSLLIM), heat transfer correlations in microchannels and helically coiled tubes, radiation damage modeling, and thermal-hydraulics of modular and lunar reactor systems. These works reflect his expertise in nuclear materials, CFD simulations, and energy conversion technologies. Scientific Awards: 2017 ASME Heat Transfer Memorial Award, 2015 ANS Thermal-Hydraulics Technical Achievement Award, AIChE Donald Q. Kern Award (2009), ANS Fellow (1996), ASME/AIChE Max Jacob Award Committee Chair (2005-06) El-Genk has supervised over 60 graduate students (30 Masters, 32 Doctoral) and contributed to 380+ refereed papers. He leads the development of global standards for space nuclear reactors and serves on editorial boards for journals including Thermal Science and Engineering Progress and Energy Conversion and Management .

• Ocean Renewable Energy
• Robotics
• Biomechanics
• +۲ مورد دیگر

Dr. Boyin Ding is an Associate Professor at the University of Adelaide , serving as Academic Director at Haide College and researcher in the Mechanical Engineering department within the Faculty of Sciences, Engineering and Technology. He leads the Wave Energy Research initiative established in 2014, while also contributing to Robotics and Biomechanics through his work with the Flinders Medical Device Research Institute. Research Areas: Ocean Wave Energy Harvesting Control Systems for Renewable Energy 6DOF Robotic Testing Spine Biomechanics Transnational Education Programs Key Collaborations: Australia-China Joint Research Centre for Offshore Wind & Wave Energy Acoustics, Vibration and Control Research Group Scientific Awards: Australian Endeavour Fellowship Malcolm Kinnaird Engineering Excellence Award (2012) His recent publications focus on hybrid offshore energy systems, nonlinear hydrodynamics in wave energy converters, and biomechanical testing technologies. He has developed control algorithms for floating offshore wind-wave systems and pioneered 6DOF robotic platforms for medical applications. As an eligible PhD supervisor, he actively collaborates with global industries and academic institutions.

Roberto Zaninoمشاهده پروفایل

استاد

• Computational fluid dynamics
• Nuclear fusion
• Concentrated solar power
• +۵ مورد دیگر

Roberto Zanino is a Full Professor of Nuclear Engineering at the Department of Energy (DENERG) of the Polytechnic of Turin, Italy. He serves as Advisor to the Rector for relations with European and international university networks and for the UniTe project, Undergraduate Research Opportunities Coordinator, and Project management functions of PoliToArgentina. He is also Scientific Advisor for the Partnership Agreement with NEWCLEO. Dr. Zanino earned his Laurea cum laude in Nuclear Engineering from Politecnico di Torino in 1984 and his Ph.D. in Energetics in 1989. His academic progression includes Assistant Professor (1990-91), Associate Professor (1992-2000), and Professor (2001-present). He previously served as Director of Alta Scuola Politecnica (2007-2010) and Head of the Graduate Program in Energetics (2011-present). His research spans computational fluid dynamics, concentrated solar power, controlled thermonuclear fusion, Generation IV nuclear fission reactors, and plasma physics. His work focuses on thermal-hydraulic analysis of liquid metal systems, superconducting magnet design for fusion applications, and concentrated solar power optimization. His recent publications demonstrate strong expertise in coupling computational tools for nuclear applications, particularly in CFD-system code integration for liquid metal systems and fusion magnet analysis. Dr. Zanino has received recognition as an IEEE Senior Member (2012) and has supervised numerous doctoral students working on topics including thermal-hydraulic analysis of heavy liquid metal systems, superconducting magnet simulation for fusion applications, and concentrated solar power modeling. He has extensive international experience, having worked at Max-Planck-Institut für Plasmaphysik, Massachusetts Institute of Technology, and University of Illinois at Chicago. He is actively involved in major fusion projects including ITER, DTT (Divertor Tokamak Test facility), and EUROfusion. His teaching portfolio includes Computational Heat and Mass Transfer, Nuclear Fusion Reactor Engineering, Solar Thermal Technologies, and Computational Thermal Fluid Dynamics at both master's and doctoral levels.

• Sustainable Architecture
• Urban Climate Modeling
• Internet of Things in Construction
• +۶ مورد دیگر

Matteo Giovanardi serves as a Visiting Professor at the Interuniversity Department of Regional and Urban Studies and Planning (DIST) at Politecnico di Torino. He has been actively engaged as a course collaborator for architecture and urban planning programs since the 2019/20 academic year, teaching modules in Architectural Technology, Advanced Environmental Technological Design, and Environmental Technological Design across both Bachelor's and Master's degree courses. His research focuses on the intersection of sustainable architecture, digital technologies, and urban planning, with particular emphasis on: Urban climate and microclimate modeling tools for Sustainable Development Goals Internet of Things applications for building process innovation Circular economy approaches in façade and building envelope design Environmental sensing systems for healthy urban districts Urban agriculture solutions for self-sufficient cities Giovanardi's publication record demonstrates an evolving research trajectory toward integrating digital technologies with sustainable building practices. His recent work shows increasing emphasis on IoT for building traceability, circular construction methodologies, and sophisticated environmental modeling techniques that bridge architecture, environmental engineering, and urban policy. His 2023 doctoral thesis on IoT applications for building envelope design represents a significant contribution to this field. He maintains active collaborations with researchers including Riccardo Pollo (who served as his doctoral advisor), Matteo Trane, Thaleia Konstantinou, and Tillmann Klein, producing interdisciplinary work that addresses contemporary urban challenges related to climate change adaptation, resource efficiency, and healthy city development.

• Food Engineering
• Thermal Engineering
• Biophysics
• +۳ مورد دیگر

Thijs Defraeye is a Senior Scientist at Empa (Swiss Federal Laboratories for Materials Science and Technology) and Adjunct Professor at Dalhousie University. He holds a PhD in Building Physics from KU Leuven (2011) and a Master's in Civil Engineering (2006). His work focuses on optimizing food supply chains through multiphysics simulations and digital twins, addressing challenges in refrigerated transport, postharvest quality preservation, and energy-efficient food processing. He leads the SimBioSys group, developing solutions for perishable goods logistics and electrohydrodynamic technologies. Research interests include: Biophysics of food systems Digital twin applications in agriculture Electrohydrodynamic drying Thermal management in cold chains Sustainable food technologies Recent work emphasizes reducing food loss through physics-based modeling of refrigerated containers, ventilated packaging optimization, and scalable evaporative cooling systems. His studies bridge engineering principles with biological processes, aiming to enhance global food security and environmental sustainability.