جست‌وجوی استاد و پژوهشگر

Silvia Cavagneroمشاهده پروفایل

استاد

• Protein Folding
• Biomolecular Spectroscopy
• Neurodegenerative Diseases
• +۴ مورد دیگر

Silvia Cavagnero is a Professor in the Department of Chemistry at the University of Wisconsin–Madison, with a research focus on protein folding and misfolding in cellular contexts. Her work integrates biomolecular spectroscopy, chemical biology, and computational methods to address fundamental questions in structural biology. B.S., First University of Rome ‘La Sapienza’ (1988) M.S., University of Arizona (1990) Ph.D., California Institute of Technology (1996) Her research explores the role of molecular chaperones like Hsp70 in protein biogenesis, the development of laser-driven NMR techniques for enhanced sensitivity, and the implications of protein aggregation in neurodegenerative diseases. Key projects include cotranslational folding studies at ribosomal exit tunnels and hyperpolarization methods for low-concentration NMR analysis. The 15 most recent publications highlight interdisciplinary advances in NMR spectroscopy optimization Protein folding kinetics Cryo-EM structural analysis Chaperone-client interactions Hsp70 antimicrobial design Hydration dynamics in folding Scientific contributions include A Prize for Going in Vivo (2017) Recognition for Diversity and Inclusion Efforts Students from the Cavagnero Group have pursued careers in academia, pharmaceutical industries, and national laboratories. Her lab emphasizes interdisciplinary training, blending physical chemistry, biology, and computational analysis.

Ilaria Perugiaمشاهده پروفایل

استاد

• Numerical methods for PDEs
• Finite element methods
• Discontinuous Galerkin methods
• +۶ مورد دیگر

Ilaria Perugia is a University Professor (Univ.-Prof.) and Chair of Numerics of PDEs at the Department of Mathematics, Faculty of Mathematics, University of Vienna. She also serves as Deputy Head of the Research Platform Erwin Schrödinger International Institute for Mathematics and Physics. Her research focuses on numerical methods for partial differential equations with applications in computational physics and engineering. Professor Perugia's primary research interests include: Numerical methods for PDEs Finite element methods Discontinuous Galerkin methods Trefftz methods Virtual element methods Space-time methods Computational electromagnetics Wave propagation problems Nonlinear reaction-diffusion problems Her work spans theoretical analysis, algorithm development, and practical implementation of numerical methods for solving complex physical phenomena. Her recent publications demonstrate a strong focus on space-time methods, virtual element methods, and structure-preserving discretizations for wave equations, heat equations, and other PDEs. She has made significant contributions to the development of stable and efficient numerical schemes that preserve important physical properties of the underlying continuous problems, particularly in the context of wave propagation and computational electromagnetics. Professor Perugia leads a research group comprising several researchers and students including Mattia Corti, Matteo Ferrari, Monica Nonino, Andrea Scaglioni, Paul Stocker, Enrico Zampa, and Marco Zank. Her group actively collaborates on projects related to numerical analysis and scientific computing, with particular emphasis on developing novel discretization techniques for challenging PDE problems.

• Numerical Analysis
• Computational Fluid Dynamics
• Applied Mathematics
• +۳ مورد دیگر

Jennifer Ryan is a Professor of Numerical Analysis and Division Head of Numerical Analysis, Optimization, and Systems Theory at the Department of Mathematics, KTH Royal Institute of Technology. Her research focuses on designing and developing numerical schemes to extract accuracy from simulations, particularly through superconvergence properties and computational efficiency improvements. She applies these techniques to applications such as imaging, fluid visualization, and plasma dynamics. Education: PhD in Applied Mathematics, Brown University; MS in Mathematics, Courant Institute; BA in Applied Mathematics, Rutgers University. Professional Activities: Member of editorial boards for BIT Numerical Mathematics, ESAIM:M2AN, and Communications on Applied Mathematics and Computation; Steering committee member of AWM's Women in Numerical Analysis and Scientific Computing (WINASc). Her publications emphasize discontinuous Galerkin methods, SIAC filtering, and applications in fluid dynamics. She has served on multiple grant review panels and received awards for diversity and inclusion initiatives. Grants: Principal Investigator for projects funded by the Swedish Research Council, NSF, and US Air Force Office of Scientific Research. Awards: Fellow of UK Higher Education Academy, DAAD Fellowship, and Householder Fellowship.

• Experimental Particle Physics
• Neutrino Physics
• Neutrino Oscillations
• +۲ مورد دیگر

Dr. Andrew Blake is a Lecturer in Experimental Neutrino Physics at the Department of Physics, Lancaster University. His research focuses on experimental neutrino physics, particularly neutrino event reconstruction and oscillation analysis using Liquid Argon Time Projection Chamber (LAr-TPC) technology. He collaborates on major international experiments including MINOS, MicroBooNE, SBND, and the future DUNE project at Fermilab. His primary research interests include: Precision measurements of neutrino oscillations Development of LAr-TPC detection technology Search for new physics beyond the Standard Model Neutrino interaction cross-section measurements CP symmetry violation in the neutrino sector Blake's recent publications (2025) demonstrate strong focus on: Advanced neutrino interaction measurements using MicroBooNE data Development of reconstruction algorithms for LAr-TPCs DUNE experiment capabilities for supernova detection and CP violation studies Validation methods for neutrino-nucleus interaction models He currently advises three PhD students: Krittika Adhikari (Experimental Particle Physics) Rachel Coackley (Experimental Particle Physics) Bethany McCusker (Experimental Particle Physics)

Maria Cherbaمشاهده پروفایل

استادیار

• Cultural and Health
• Telemedicine
• Health Services
• +۸ مورد دیگر

Maria Cherba is an Assistant Professor in Communication at the Faculty of Arts, University of Ottawa. Her work bridges health communication, telemedicine, and Indigenous health equity. Ph.D. in Communication from Université de Montréal (2020) Research Interests span: Cultural and Health Telemedicine and Digital Health Patient Experience and Interpersonal Communication Indigenous Health Advocacy Organizational Communication in Healthcare Psychosocial Support Systems Publication Trends focus on telemedicine implementation, Indigenous health representation in policy, patient-physician interactions in chronic care, and pandemic impacts on end-of-life preferences. Her methodological emphasis lies in qualitative interaction analysis.

Garreth Tigwellمشاهده پروفایل

استادیار

• Human-Computer Interaction (HCI)
• Accessibility Design
• Digital Accessibility
• +۵ مورد دیگر

Garreth Tigwell is an Assistant Professor in the School of Information at RIT, co-directing the CAIR Lab with Dr. Kristen Shinohara. His research focuses on accessibility in digital design, particularly for disabled users, addressing challenges faced by novice and expert creators. His work spans topics like accessible prototyping tools, cultural considerations in design, and inclusive mixed reality interfaces. Education: BSc in Psychology, University of Dundee, 2012 MSc (Distinction) in User Experience Engineering, University of Dundee, 2014 PhD in Human-Computer Interaction (HCI), University of Dundee, 2019 Research Interests: Designing accessible digital systems for blind, deaf, and low-vision users Adaptable user interfaces for mixed reality and textured surfaces Cultural dimensions in accessibility pedagogy Authentication methods for visually impaired users Articles Trends: Recent work emphasizes AR/VR accessibility, cultural design frameworks, and haptic authentication. His studies often involve collaborations with global researchers and industry partners. Awards: Best Paper (MobileHCI 2022) CHI Honorable Mention (2023, 2024) NSF-funded research projects Advising & Grants: Active in mentoring graduate students and securing grants. His lab focuses on born-accessible AI tools and inclusive design education. Teaches courses like HCI Research Methods and Future Interactions. Labs/Teams: Co-leads the CAIR Lab, which develops technologies to bridge accessibility gaps in digital design and prototyping.

Johannes Dahlمشاهده پروفایل

دانشیار

• Atmospheric Science
• Meteorology
• Convective Storm Dynamics
• +۳ مورد دیگر

Dr. Johannes Dahl is an Associate Professor in the Department of Geosciences at Texas Tech University. His research focuses on the dynamics of convective storms, particularly supercells and tornado formation. He leads a research group using numerical simulations and mobile observational platforms like TTU Ka-band radars to study tornado vorticity origins and storm-environment interactions. Education: M.Sc. Atmospheric Science (Free University of Berlin, 2007); Ph.D. Atmospheric Science (Ludwig Maximilian University, Munich, 2010). Research Interests: Tornadogenesis mechanisms, storm-scale vorticity dynamics, and cloud-scale numerical modeling. His work addresses critical questions such as whether tornado rotation is generated internally or imported from the environment. The group employs idealized simulations, theoretical frameworks, and field observations to advance understanding of severe weather processes. Recent publications emphasize vortex dynamics, numerical model validation, and environmental influences on tornado formation. He teaches courses in atmospheric science fundamentals, synoptic/mesoscale dynamics, and geophysical fluid dynamics. Labs/Teams: Active participant in VORTEX-SE field campaigns and collaborates with Texas Tech’s radar teams. His group integrates observational data with high-resolution simulations to improve storm prediction models.

Antonio Griffoمشاهده پروفایل

استاد

• Power Electronics
• Electric Drives
• SiC Power Converters
• +۵ مورد دیگر

Professor Antonio Griffo holds the position of Professor of Power Electronics and Electric Drives at the University of Sheffield's School of Electrical and Electronic Engineering. He leads the Electrical Machines and Drives Research Group and is involved in the High Reliability Drives Group. His academic journey includes a MSc (2003) and PhD (2007) in Electrical Engineering from the University of Naples, followed by research roles at Bristol and Sheffield Universities before becoming a Lecturer in 2013 and later a Professor. His research focuses on advanced control of electric drives, SiC-based power electronics for aerospace/renewables, fault detection in machines, and thermal management. Key projects include modeling hybrid AC/DC power systems for 'More Electric Aircraft', sensorless control techniques, and real-time simulation methodologies. He has pioneered work on SiC converter reliability, insulation monitoring, and condition-based maintenance systems. Publications (15+ in top journals like IEEE Transactions) emphasize innovative solutions for power electronics challenges, including voltage stress mitigation, thermal modeling, and fault tolerance. His work bridges theory and application, addressing critical issues in aerospace, renewable energy, and electric vehicle systems. Griffo also contributes to educational advancements through modular training platforms for power electronics education. Labs/Teams: Active in the Electrical Machines and Drives Research Group, focusing on high-reliability drive systems and sustainable energy technologies. Collaborates with industry on projects like the EPSRC Offshore Wind Prosperity Partnership.

Gianmarco Pintonمشاهده پروفایل

دانشیار

• Biomedical Imaging
• Ultrasound Imaging
• Traumatic Brain Injury
• +۴ مورد دیگر

Gianmarco Pinton is an Associate Professor in the Department of Biomedical Engineering at the University of North Carolina at Chapel Hill. His research focuses on nonlinear ultrasound and mechanical wave propagation, with applications to medical imaging and therapy. He specializes in traumatic brain injury, shear shock waves, and ultrasound therapy. Ph.D., M.S., and B.S.E. in Biomedical Engineering/Physics from Duke University His lab develops physics and simulation tools for nonlinear wave propagation, aiming to create advanced diagnostic ultrasound methods. Key areas include traumatic brain injury, transcranial imaging, and therapeutic ultrasound. His recent work explores super-resolution imaging, brain motor circuits, and Alzheimer's disease vascular mapping using ultrasound. Article trends highlight innovations in transcranial ultrasound, super-resolution techniques, lung imaging, and neuromodulation. His publications address image degradation, contrast agents, and shear wave dynamics in neurological contexts.

Stefan Krastanovمشاهده پروفایل

استادیار

• Quantum Hardware Design and Control
• Resilient Noisy Quantum Circuits
• Entanglement and Quantum Networking
• +۳ مورد دیگر

Stefan Krastanov is an Assistant Professor at the University of Massachusetts Amherst, focusing on quantum hardware design, control, and optimization across multiple layers of quantum computing and networking technologies. His work bridges physical hardware descriptions with logical circuit compilation, emphasizing resilience in noisy quantum systems. Research Interests include Quantum Hardware Design, Entanglement-Based Networking, Quantum Error Correction, and Modeling Software for Quantum Systems. His primary lab is the Quantum Information Lab , with affiliations to the Advanced Classical and Quantum Information Research Lab. Recent work trends highlight advancements in quantum repeater networks, error-corrected compilation, and photonic neural networks. His publications span topics like non-Markovian dynamics simulation, NP-hard optimization in quantum dot arrays, and scalable spin quantum memory control. Labs and Teams: Quantum Information Lab (leading experimental/theoretical work) and collaborations through the Advanced Classical and Quantum Information Research Lab.

• Atmospheric Science
• Climate Dynamics
• Meteorology
• +۳ مورد دیگر

Univ.-Prof. Aiko Voigt is a Professor and Head of the Department of Meteorology and Geophysics at the University of Vienna. Her research focuses on climate dynamics, cloud physics, and atmospheric processes. She leads the Environment and Climate Research Hub and teaches advanced courses like 'Climate Modelling Lab' and 'Cloud Physics.' Her work explores cloud-radiative interactions, climate change impacts, and extreme weather dynamics. Recent studies analyze energy imbalances, high-cloud feedbacks, and tropical precipitation patterns. Voigt's contributions bridge climate modeling with observational data, emphasizing high-resolution simulations and interdisciplinary approaches. Teaching includes courses such as 'Climate System of the Earth,' 'Scientific Communication,' and 'Introduction to Computational Meteorology.' Her research spans from present-day climate to Snowball Earth scenarios, addressing both modern and paleoclimatic challenges. Publications highlight advancements in radiative transfer algorithms, cyclone dynamics under warming, and uncertainties in climate model predictions. Her work underscores the critical role of clouds in amplifying climate sensitivity and reshaping atmospheric circulation patterns.

Elena Pierpaoliمشاهده پروفایل

استاد

• Theoretical Cosmology
• Cosmic Microwave Background
• Dark Energy
• +۳ مورد دیگر

Elena Pierpaoli is Professor of Physics and Astronomy at USC Dornsife College, specializing in theoretical cosmology. Her research aims to determine the Universe's content and evolution through astrophysical observations. Primary research areas include Cosmic Microwave Background analysis, dark energy and dark matter properties, early universe physics, and cosmological model testing using galaxy clusters and large-scale structure data. Recent work focuses on gravitational lensing effects in CMB data and galaxy cluster dynamics. Research involves major collaborations including the Simons Observatory and CMB-S4 projects, developing next-generation cosmological surveys and instrumentation for precision cosmology.

Wenhao Dingمشاهده پروفایل

پژوهشگر

• Autonomous Systems
• Reinforcement Learning
• Causal Discovery
• +۳ مورد دیگر

Wenhao Ding is a Research Scientist at NVIDIA's Autonomous Vehicle Group, focusing on enhancing the safety and robustness of physical autonomous systems, particularly autonomous vehicles. His research integrates multi-modal large language models, reinforcement learning, and causal discovery to improve model reasoning capabilities. He holds a Ph.D. from Tsinghua University's Department of Electronic Engineering, with a thesis on 'Generative AI for Critical Digital Twins.' Key research interests include safety-critical scenario generation, causal representation learning, and offline reinforcement learning. His work emphasizes closed-loop simulation for autonomous systems and has led to contributions like the SafeBench benchmarking platform and the RealGen scenario generation framework. He has received the 2022 Qualcomm Innovation Fellowship. Notable collaborations include projects with Prof. Marco Pavone at Stanford and internships at Amazon Lab126 (Astro team) and Bosch Center for AI. He actively reviews for top conferences (ICML, NeurIPS, CVPR) and journals (IEEE T-ITS, RA-L). His recent focus on privacy risks in robotics and causal-aware driving models underscores his commitment to trustworthy AI systems. He organizes conferences like the 2024 IEEE International Automated Vehicle Validation Conference and co-hosted the Secure and Safe Autonomous Driving (SSAD) Workshop at CVPR 2023. His interdisciplinary work bridges theory and practice, addressing critical challenges in autonomous systems' safety and generalization.

Barbara Polivkaمشاهده پروفایل

استاد

• Environmental Health
• Health Services Research
• Public Health Nursing
• +۳ مورد دیگر

Dr. Barbara Polivka is the Associate Dean for Research and Professor at the University of Kansas School of Nursing. She holds a BSN and MSN from the University of Cincinnati College of Nursing and Health, and a PhD in Nursing from The Ohio State University. Her research focuses on environmental health (e.g., lead poisoning prevention, asthma triggers) and health services research (e.g., public health nursing standards, nursing workforce challenges). She has secured NIH, NIOSH, and AHRQ funding for projects addressing home safety hazards and asthma management in older adults. Professional Affiliations include the American Academy of Nursing (Fellow), American Public Health Association, and Midwest Nursing Research Society. Key grants include current NIEHS funding for real-time asthma exposure monitoring and prior NIOSH support for virtual home safety training. Awards include the Ruth B. Freeman Award (APHA) and Ohio Healthy Homes Achievement Award. Teaching spans undergraduate through doctoral levels, with emphasis on community/public health nursing. Mentored numerous PhD/DNP students in environmental health and health disparities. Current work explores口罩使用对哮喘患者的影响, pandemic-related disinfectant exposure risks, and medication literacy in aging populations.

David B. Gravesمشاهده پروفایل

استاد

• Plasma Science
• Semiconductor Nanofabrication
• Biomedical Plasma Applications
• +۵ مورد دیگر

David B. Graves is a Professor of Chemical and Biological Engineering at Princeton University, affiliated with the Princeton Plasma Physics Laboratory. He holds a B.S. (1978) and M.S. (1981) from the University of Arizona and a Ph.D. (1986) from the University of Minnesota. Research focuses on non-equilibrium plasma for semiconductor fabrication, biomedical applications, and sustainable chemical processing. Leadership in plasma-surface interactions, atomic layer etching, and plasma medicine. His work bridges plasma physics, surface chemistry, and machine learning, addressing challenges in nanofabrication and energy-efficient plasma processes. Notable contributions include plasma-roadmap initiatives and innovations in plasma-enabled additive manufacturing. Awards: Plasma Chemistry Award (2025), ISPlasma Prize (2024), and multiple fellowships (APS, AVS, IOP). Labs/Teams: Graves Group, collaborating on plasma applications in nanotechnology and biomedicine.