جست‌وجوی استاد و پژوهشگر

Christos Gagatsosمشاهده پروفایل

استادیار

• Quantum Technologies
• Quantum Sensing
• Quantum Communications
• +۱۰ مورد دیگر

Christos Gagatsos is an Assistant Professor in the Department of Electrical and Computer Engineering and a member of the Wyant College of Optical Sciences at the University of Arizona. He joined the university in 2018 as a postdoctoral research associate, was promoted to Assistant Research Professor in 2020, and became an Assistant Professor in ECE in 2023. Prior to this, he was a postdoctoral research fellow at the University of Warwick, UK. His educational background includes: PhD in Engineering Sciences and Technology, Université Libre de Bruxelles and École Polytechnique, Belgium (2014) MSc in Physics of Elementary Particles, University of Athens, Greece (2010) BSc in Physics, University of Athens, Greece (2007) Christos Gagatsos's research lies at the intersection of quantum information, quantum sensing, and quantum communications, with a strong theoretical focus on bosonic systems. His work explores fundamental concepts such as entanglement, non-Gaussianity, and Bayesian estimation in quantum systems. He is particularly interested in pushing the limits of quantum-enhanced sensing, including optical phase and transmissivity estimation, and in developing theoretical frameworks for quantum detection and discrimination. His teaching interests include quantum information, quantum optics, probability theory, and applied mathematics. The recent trend in his publications reflects a deep engagement with Bayesian methods in quantum parameter estimation, quantum change point detection, and the characterization of quantum states through measures like Wigner entropy. His work spans both fundamental quantum theory and practical applications in sensing and communication, often bridging classical and quantum approaches. He advises several graduate students across departments, including Boyu Zhou (Physics), Ali Cox (Physics), Qipeng Qian (Mathematics), and Leo Bia (Optical Sciences). While no formal scientific awards are listed in the provided text, editorial recognition such as an Editor’s Pick in APL Quantum highlights the impact of his research. Christos Gagatsos leads a research group focused on theoretical quantum information, actively collaborating with quantum research groups across the University of Arizona, Arizona State University, and international institutions in the USA and Europe. His lab investigates quantum sensing, communications, and foundational aspects of quantum mechanics using bosonic platforms, fostering a collaborative and interdisciplinary research environment.

Jeppe Revall Frisvadمشاهده پروفایل

دانشیار

• Computer Graphics
• Digital Image Synthesis
• Realistic Rendering
• +۷ مورد دیگر

Jeppe Revall Frisvad is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), within the Visual Computing group. His work bridges computer graphics, material science, and applied optics, focusing on realistic rendering and material appearance modeling. Ph.D. in Computer Graphics, DTU Informatics (2008) M.Sc. in Engineering (Applied Mathematics), DTU (2004) Education in University Teaching, LearningLab DTU (2008–2009) His research centers on computing material appearance from physical and chemical properties, developing faster and more accurate physically based rendering methods. Key areas include light scattering, bidirectional reflectance distribution functions (BRDF), anisotropy, and translucency modeling. Applications span computer games, movies, digital prototyping, architectural visualization, and training simulators. His recent publications (2024–2025) reflect a strong trend in digitizing material appearance, especially for 3D printing and food science, using spectrophotometry and optical validation. The work combines computer graphics with interdisciplinary applications in food structure and biological imaging, emphasizing measurement, modeling, and simulation. Scientific Awards: Research travel prize from AEG Elektronfonden (2006) IGDA scholarship for GDCE 2005 DTU Ph.D. scholarship (2004) He actively supervises Ph.D. students and leads multiple research projects, including those on organ-on-chip imaging, cheese quality analysis, and optical modeling of teeth. He collaborates across disciplines and institutions, with external research stays at UC San Diego and the University of Otago. He is involved in projects integrating AI with 3D imaging and material digitization. Jeppe is a key member of the Visual Computing research environment at DTU, contributing to both fundamental rendering algorithms and practical applications in industry and science.

• Condensed Matter Experiment
• Quantum Physics
• Condensed Matter Physics
• +۳ مورد دیگر

Seamus O'Hara is a Researcher in the Department of Physics and Astronomy at the University of Pennsylvania. His research focuses on condensed matter experiment with particular emphasis on quasiparticle dynamics and interferometry techniques. O'Hara holds a B.S. in Physics and Mathematics from The Pennsylvania State University (2017) and a Ph.D. in Physics from The University of California, Santa Barbara (2023). B.S. Physics and Mathematics, The Pennsylvania State University (2017) Ph.D. Physics, University of California, Santa Barbara (2023) His experimental work explores driven quasiparticle systems through advanced interferometric methods, leveraging polarimetry and high-order sideband analysis to reconstruct quantum states and Hamiltonians in semiconductors like GaAs. Key areas include studying geometrical phases, dephasing mechanisms, and non-Abelian Berry curvature effects in strained materials. This research bridges theoretical predictions with experimental validation in quantum condensed matter systems. Recent publications emphasize advancements in Bloch wave interferometry techniques, temperature-dependent dephasing studies, and direct experimental measurements of Luttinger parameters through quasiparticle dynamics. These contributions advance understanding of nonequilibrium phenomena in solid-state systems.

Shabnam Raayaiمشاهده پروفایل

استادیار

• Fluid Mechanics
• Aerodynamics
• Flow Control
• +۴ مورد دیگر

Shabnam Raayai is an Assistant Professor in the Department of Mechanical Engineering at Boston University. Her research focuses on fluid mechanics, aerodynamics, and flow control, particularly exploring bio-inspired designs such as riblet surfaces and V-formation dynamics. She holds a PhD and MS in Mechanical Engineering from MIT. Education: PhD (MIT, 201?), MS (MIT, 201?) Her research integrates experimental, theoretical, and computational approaches to study drag reduction techniques and fluid dynamics in nature-inspired systems. Key interests include fluid-solid interactions, laser diagnostic methods, and complex geometric boundary analyses. Her recent work examines riblet-covered surfaces for drag reduction, bio-inspired formations, and multi-propeller flow dynamics. She has pioneered techniques like double-light-sheet PIV for studying opaque object flows and volume-controlled cavity expansion for soft material analysis. Awards: Rowland Fellowship (2019-2025) Andreas Acrivos Dissertation Award (2018) Rising Stars in Mechanical Engineering (2018) Her grants and advising activities are not detailed here, but her research team actively explores nature-inspired fluid dynamics applications in engineering systems.

Nicholas E. Barrandمشاهده پروفایل

دانشیار

• Glaciology
• Glacier Mass Balance
• Sea-Level Rise
• +۷ مورد دیگر

Dr. Nicholas E. Barrand is Associate Professor of Glaciology and Senior Admissions Tutor at the School of Geography, Earth and Environmental Sciences, University of Birmingham, UK. His research focuses on glacier mass balance, sea-level rise, and glaciers as critical water resources in a changing climate. Education: P.G. Cert. Academic Practice, University of Birmingham (Distinction) Ph.D. Glaciological Remote Sensing, University of Leeds and Swansea University M.Sc. Geographical Information Science, University of Leeds (Distinction) B.Sc. Physical Geography, University of Newcastle-upon-Tyne (1st Class Honours) Dr. Barrand’s research interests lie at the intersection of glaciology, climate change, and hydrology. He investigates glacier and ice sheet dynamics using field observations, numerical modeling, and optical/microwave remote sensing. His group explores the role of glaciers in sea-level rise and water security, with a focus on polar and high-latitude regions. Key methodological interests include glacio-hydrological modeling, ice flow and melt modeling, and interdisciplinary approaches linking earth system science with socio-environmental studies. His recent publications demonstrate a strong trend in Antarctic and Arctic glaciology, with a focus on ice shelf stability, glacier retreat under climate change, Greenland albedo dynamics, and mountain water security. His work increasingly integrates hydrological modeling with glaciological data to assess future water availability in deglaciating basins, particularly in the Andes and Himalayas. Teaching Responsibilities: Research Methods and GIS (co-module lead) Environmental Research in High Latitudes (module lead) Swiss Alps Fieldclass Contributions to Fieldwork & Tutorials, Global Environmental Issues, Research Projects Dr. Barrand supervises research projects on glacier mass balance, remote sensing of ice dynamics, ice flow modeling, and environmental applications of remote sensing in polar regions. He has led research funded by NERC and other agencies, contributing to international assessments of glacier change and sea-level rise. He is actively involved in academic leadership as Senior Admissions Tutor and promotes interdisciplinary collaboration across earth system sciences. Research Group Focus: Mass balance and dynamics of glaciers and ice sheets Sea-level rise contributions Glaciers as water resources Glacio-hydrological modeling Remote sensing of snow and ice melt Climate-glacier-hydrology modeling chain

• Perception Engineering
• Extended Reality
• Virtual Reality
• +۷ مورد دیگر

Mark Bo Jensen is an Assistant Professor (Tenure track) at the Department of Engineering Technology and Didactics, Energy Technology and Computer Science at the Technical University of Denmark (DTU). His work bridges engineering and cognitive sciences through the emerging field of Perception Engineering. His research focuses on Extended Reality (XR) and Virtual Reality (VR) technologies to model and understand human perception and cognition. With over 10 years of expertise in real-time computer graphics, he develops immersive systems for applications in data visualization, medical testing, and geometric morphometrics. His recent publications highlight a strong trend in leveraging VR for precise human interaction tasks, such as anatomical landmark annotation and visual field testing, as well as advancing rendering techniques using diffusion models and mesh optimization. This reflects a multidisciplinary approach combining computer science, perception, and real-world applications. He has contributed to multiple research projects, including AL-EYE: The Visual Aid and Virtual Reality-Based Visualization of Geometric Data, where he served both as a PhD student and a project participant. These projects emphasize VR-based tools for data understanding and visualization. Assistant Professor (Tenure track), DTU PhD in Virtual Reality-Based Visualization of Geometric Data, completed June 2023 Project participant in AL-EYE: The Visual Aid (2025) While no formal advisees are listed, his role as a faculty member suggests future student supervision. He has collaborated extensively with researchers such as Jeppe R. Frisvad, Jakob Andreas Bærentzen, and Vedrana A. Dahl.

Vadim Cheianovمشاهده پروفایل

دانشیار

• Quantum Many-Body Physics
• Condensed Matter Theory
• Ultracold Atomic Systems
• +۶ مورد دیگر

Dr. Vadim Cheianov is an Associate Professor in the Leiden Institute of Physics (LION) within the Faculty of Science at Leiden University. He leads the Cheianov Group, which specializes in theoretical quantum many-body physics with applications in condensed matter and ultracold atomic systems. His research interests span several cutting-edge domains in theoretical physics, including the behavior of mobile quantum impurities in quantum fluids, adiabatic protocols in driven many-body systems, mechanisms of non-ergodicity in quantum systems such as many-body localization and integrability, and the macroscopic manifestations of quantum anomalies like the chiral magnetic effect in condensed matter and cosmological contexts. The recent publications from his group reflect a strong focus on quantum dynamics, topological effects, and fundamental aspects of quantum statistical mechanics. These works integrate concepts from condensed matter, ultracold atoms, quantum field theory, and mathematical physics, often bridging theoretical predictions with potential experimental observations in quantum simulators and solid-state devices. Scientific Awards: NWO Physics Projectruimte Grant (2018) Dr. Cheianov has secured competitive research funding, including the NWO Physics Projectruimte grant awarded in 2018, which supports innovative and high-risk theoretical physics research. While formal advising roles are not detailed in the provided text, his leadership of an active research group implies mentorship of PhD and master’s students. His work contributes significantly to foundational understanding in quantum matter and has implications for quantum technologies and emergent hydrodynamic phenomena in quantum systems. The Cheianov Group operates within the Quantum Matter and Optics division of LION, collaborating with experimental and theoretical physicists to explore non-trivial quantum phenomena in both synthetic and natural quantum materials.

• Signal processing
• Fault detection and diagnosis
• Rotordynamics
• +۷ مورد دیگر

Konstantinos Gryllias is a Professor in the Department of Mechanical Engineering at KU Leuven's Faculty of Engineering Sciences. He leads research in the Mechatronic System Dynamics (LMSD) unit at the Arenberg campus. His academic affiliations extend across multiple KU Leuven institutes including Leuven.AI, Leuven.AM (Additive Manufacturing), and the Gravitation Institute. He serves on important governance bodies as a member of the Faculty Council of Engineering Sciences, Faculty Doctoral Committee of Engineering Sciences, and Departmental Council of Mechanical Engineering. Dr. Gryllias specializes in signal processing, fault detection and diagnosis of rotating machinery, condition monitoring, and machine learning applications in structural health monitoring. His research spans linear and nonlinear vibrations, anomaly detection, rotordynamics, and pattern recognition. His work bridges theoretical signal processing with practical engineering applications in wind turbines, marine propulsion systems, and industrial machinery. His recent publications demonstrate strong focus on deep learning approaches for wind turbine anomaly detection, bearing diagnostics, stern bearing lubrication optimization, and structural health monitoring using advanced signal processing techniques. The research shows increasing integration of explainable AI methods with traditional vibration analysis. Dr. Gryllias teaches advanced courses including Monitoring & Prognostics, Structural Dynamics, Smart Sensing Technologies, and Applied AI perspectives. His teaching portfolio reflects the interdisciplinary nature of his research, connecting mechanical engineering fundamentals with cutting-edge AI methodologies. He currently leads multiple research projects through 2025-2029, primarily as Promotor, focusing on fault detection in gears using fiber optic sensors, multi-sensor monitoring of drivelines, physics-inspired machine learning for condition monitoring, and digital twin applications for wind turbine efficiency improvement.

Jonathan Poggieمشاهده پروفایل

استاد

• Hypersonic Flight
• Compressible Flow
• Flow Control
• +۱۲ مورد دیگر

Jonathan Poggie is a Professor in the School of Aeronautics and Astronautics at Purdue University's College of Engineering, where he has been a faculty member since 2015. He previously spent over two decades at the Air Force Research Laboratory. His research group conducts high-fidelity simulations in hypersonic aerodynamics, turbulence, and plasma-based flow control, supported by major grants from DoD, DoE, AFOSR, and ONR. Ph.D., Mechanical and Aerospace Engineering, Princeton University, 1995 M.S.E., Mechanical and Aerospace Engineering, Princeton University, 1991 B.S., Mechanical Engineering, University of Rhode Island, 1988 Prof. Poggie's research focuses on high-speed fluid dynamics , particularly hypersonic flows , compressible turbulence , laminar-turbulent transition , and shock-wave/boundary-layer interactions . His group also investigates plasma-based flow control using electrical discharges. His work combines computational, experimental, and theoretical approaches to address challenges in aerospace vehicle design, especially for defense and space applications. The articles reflect a strong focus on computational fluid dynamics of high-speed flows, with particular emphasis on shock unsteadiness , boundary layer transition , and plasma actuation . The research spans from fundamental fluid mechanics to applied aerospace engineering, with increasing recent interest in military conflict modeling using fluid dynamics analogies. C. T. Sun Excellence in Research Award, 2023 University Faculty Scholar, 2023-2028 Outstanding Graduate Faculty Mentor Award, 2021 Elmer F. Bruhn Teaching Award, 2019 W. A. Gustafson Teaching Award, 2018 ASME Fellow, 2007 AIAA Associate Fellow, 2004 Prof. Poggie has advised 6 PhD students and 18 MS students at Purdue as of 2025. His research has been supported by multiple large-scale grants, including three DoD Frontier Projects and a DoE INCITE Award , providing supercomputing resources for high-fidelity simulations. He collaborates with researchers at The Ohio State University, Notre Dame, and various national laboratories. His group has developed novel approaches to operational mapping for military conflict analysis, creating continuous flow models of battlefield dynamics. The team has also secured two patents in hypersonic technology, one for inlet design and another for a hypersonic test facility. His research group investigates geometric imperfections in hypersonic vehicles (steps, gaps, roughness), laminar-turbulent transition prediction, and separation unsteadiness in shock-wave interactions. They use advanced computational methods like DDES and DNS, supported by massive computing allocations. The group has produced significant work on sidewall confinement effects , wall roughness , and gap flows in hypersonic configurations.

Marcus Vetterمشاهده پروفایل

استاد

• Deep Learning
• Medical Technology
• Embedded Systems
• +۴ مورد دیگر

Prof. Dr. Marcus Vetter is the founder and director of the Institute for Applied Artificial Intelligence and Robotics (A²IR) at Mannheim University of Technology's Faculty of Information Technology. His work bridges Deep learning Medical imaging and navigation Embedded systems Real-time computing Software engineering for medical devices He has taught courses including Deep Learning Methods, Image-Guided Medicine, and Embedded Systems. Education Computer Science, Technical University of Mannheim, 1999 Doctorate ('summa cum laude superato') in 'Image-based navigation systems', University of Heidelberg, 2003 Research focuses on AI-driven medical imaging tools, real-time deformation models, and open-source frameworks like MITK. His 15 most recent publications span 6D pose estimation for medical robotics Spectroscopy-based diagnostics Formal software verification Gesture and gaze recognition interfaces UAV drive train optimization Scientific achievements Doctorate with distinction (2003) Co-founder of MITK open-source project Director of A²IR institute since 2007 He has received BMBF grants for real-time deformation models and tracking systems, and has led development of navigation systems for laparoscopic surgery and cardiac ablation procedures.

Wyatt E. Tenhaeffمشاهده پروفایل

استادیار

• Electrochemical Energy Storage
• Solid State and Lithium Metal Batteries
• Polymer Thin Films
• +۴ مورد دیگر

Wyatt E. Tenhaeff is an Assistant Professor leading a research group focused on thin film coatings for electrochemical energy storage systems. His work targets lithium metal and solid-state batteries, developing ultrathin protective coatings to enhance cycle life, safety, and energy density through suppression of parasitic electrolyte reactions. He teaches core Chemical Engineering courses including Chemical Reactor Design (CHE 231) and Process Control (CHE 272). His research program centers on: Electrochemical Energy Storage Solid State and Lithium Metal Batteries Polymer Thin Films, Interfaces, and Thin Film Synthesis and Characterization Vacuum Deposition Processing Recent publications demonstrate expertise in initiated chemical vapor deposition (iCVD) for nanoscale-precise polymer films, with dual applications in battery interface engineering and optical coatings. Key trends include elastic antireflection systems for flexible optics, mechanically robust battery separators, and high-voltage stable polymer electrolytes enabled by novel plasticization strategies. His scientific recognition includes: NSF CAREER Award (2019) Curtis Award for Nontenured Faculty Teaching (2018) R&D 100 Award (2017) Oak Ridge National Laboratory Weinberg Fellowship (2009-2011) National Science Foundation Graduate Research Fellowship (2005-2008) MIT Presidential T. Haslam Fellowship (2004-2005) Tenhaeff mentors graduate researchers in thin film synthesis and battery technology development, supported by his NSF CAREER grant investigating polymer electrolytes for high-voltage applications. His collaborative projects frequently involve national laboratories and industry partners in advancing separator technologies and vapor-deposited coatings. His laboratory specializes in initiated chemical vapor deposition (iCVD) with in situ thickness monitoring, enabling conformal polymer films down to 10 nm. Current efforts focus on shear-thickening electrolytes, silicon anode stabilization, and scalable thin film processes for next-generation energy storage and flexible electronics.

Steven Kivelsonمشاهده پروفایل

استاد

• Condensed Matter Physics
• Quantum Phases of Matter
• High-Temperature Superconductivity
• +۴ مورد دیگر

Steven Kivelson serves as the Prabhu Goel Family Professor in the Department of Physics at Stanford University, where his theoretical research explores emergent phenomena in strongly correlated electron systems and quantum phases of matter. Education: Ph.D. in Physics, Harvard University (1979) Research Interests: Professor Kivelson investigates how electron interactions produce macroscopic quantum behaviors in solids, with current focus on quantum liquid crystalline phases, intertwined orders in high-temperature superconductors, spin liquids, and the glass transition in supercooled liquids. His work bridges microscopic interactions and emergent collective phenomena through advanced theoretical modeling. Publication Trends: His 2015-2025 publications reveal sustained exploration of quantum criticality, nematic order, and competing phases in cuprates and iron-based superconductors. Key themes include stripe-enhanced superconductivity, absence of BCS-BEC crossover, and topological aspects of quantum phases, demonstrating consistent theoretical innovation in correlated electron systems. Scientific Awards: No specific prizes, fellowships, or medals were documented in the source material beyond his named professorship. Advising and Grants: While specific student names and grant details were not provided, Professor Kivelson leads an active research group with extensive publication output, indicating ongoing mentorship and research funding in condensed matter theory. Labs and Teams: He directs the Kivelson Group at Stanford, which specializes in theoretical investigations of quantum phase transitions, emergent gauge fields, and strongly correlated materials through computational and analytical approaches.

• Obstetrics
• Maternal-Fetal Medicine
• Prenatal Therapy
• +۳ مورد دیگر

Anna David is a Professor of Obstetrics and Maternal Fetal Medicine at University College London (UCL) . She serves as Director of the EGA Institute for Women’s Health and Deputy Director of Tommy's National Centre for Preterm Birth Research . David is also Visiting Professor at Katholieke Universiteit Leuven and holds the Professor Tan Seang Lin, Dr Grace Tan and OriginElle Fertility Distinguished Chair in Women’s Health since 2025. Education: BSc in Medical Science, University of St Andrews (1989) MB ChB, University of Manchester (1992) PhD in Fetal Gene Therapy, UCL (2005) Research Interests: David leads the Prenatal Therapy Group at UCL, focusing on developing prenatal treatments for severe fetal disorders. Her work spans fetal gene therapy , maternal VEGF gene therapy for growth restriction , fetal stem cell transplantation , and advanced imaging for fetal surgery . She also investigates preterm birth prediction/prevention and fetal growth restriction . Scientific Awards: Fellow of the Royal College of Obstetricians & Gynaecologists (2016) NIHR Senior Lectureship in Women’s Health (2008) Leadership & Collaboration: She is Lead for Women's Health Shadow Theme at the NIHR UCLH Biomedical Research Centre and Head of the Research Department of Maternal Fetal Medicine since 2016. David collaborates with institutions like KU Leuven and organizations such as Tommy's and Magnus Growth .

Rosalee Hellbergمشاهده پروفایل

دانشیار

• Food Safety
• Food Microbiology
• Food Fraud and Mislabeling
• +۷ مورد دیگر

Dr. Rosalee Hellberg is an Associate Professor at Chapman University's Schmid College of Science and Technology, specializing in Food Science. Her work combines molecular biology and analytical chemistry to combat food fraud and ensure safety. Lewis & Clark College (BA) | Oregon State University (MS, PhD in Food Science & Technology) Research focuses on: DNA barcoding applications for species identification Food fraud detection in seafood and botanical products Pathogen detection using molecular techniques Labeling compliance in processed foods Development of rapid authentication methods Recent publications address seafood mislabeling patterns, ginseng supplement authenticity, and pathogen control through advanced spectroscopy. Awards include multiple recognitions for research and mentorship excellence. Her work bridges regulatory compliance, consumer protection, and food supply chain integrity through innovative molecular approaches. Key Scientific Awards: Wang-Fradkin Assistant Professorship Award (2015-2017) Institute of Food Technologists Emerging Leaders Network Award (2017) Mentorship of Undergraduate Research Award (2018-2019)

Stan F.S.P. Looijmansمشاهده پروفایل

استادیار

• Semi-crystalline materials
• Polymer processing
• Crystallization kinetics
• +۴ مورد دیگر

Stan F.S.P. Looijmans is an Assistant Professor at the Processing and Performance of Materials group within the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e). His research focuses on bridging the gap between processing-induced structure formation and mechanical properties in semi-crystalline polymers, with a particular emphasis on advanced characterization techniques and multiscale modeling. Academic Background : BSc and MSc in Mechanical Engineering (TU/e), PhD in 2023 on adhesion-modified polypropylene composites Research Tools : Synchrotron X-ray/infrared radiation, microscale mechanical testing, numerical simulations His work explores key areas such as: Crystallization in additive manufacturing Structure formation under extreme conditions Micromechanical testing of composites Contact mechanics phenomena Local failure prediction in semi-crystalline systems Recent publications highlight his expertise in polymer crystallization kinetics, fiber-reinforced composites, and processing-structure-property relationships. Notably, his 2025 work on PLA stereocomplexation and PP/HDPE blends demonstrates innovative approaches to microstructure engineering. He contributes to education through courses in mechanical characterization of materials and soft materials processing.