جست‌وجوی استاد و پژوهشگر

Matthew D. Buddeمشاهده پروفایل

دانشیار

• Magnetic Resonance Imaging
• Neuroimaging
• Brain Injury
• +۳ مورد دیگر

Dr. Matthew D. Budde serves as Associate Professor in the Department of Neurosurgery at the Medical College of Wisconsin, where he develops advanced magnetic resonance imaging (MRI) techniques for diagnosing and monitoring central nervous system injuries and diseases. His work bridges preclinical and clinical neuroimaging with emphasis on traumatic brain and spinal cord injuries. His educational background includes: Postdoctoral Fellowship in Radiology and Imaging Sciences, National Institutes of Health (2011) PhD in Neuroscience, Washington University in St. Louis (2008) BS in Psychology, University of Wisconsin-Madison (2001) Dr. Budde's research centers on diffusion-based MRI methodologies , particularly diffusion tensor imaging (DTI) and tensor-valued encoding techniques. He investigates microstructural changes in traumatic brain injury, spinal cord trauma, stroke, and neurodegenerative conditions using both human and animal models. His work establishes critical links between MRI findings and underlying histopathology while exploring comorbid factors like sleep disruption and pharmacological interventions in neurological recovery. His publication record demonstrates consistent innovation in neuroimaging methodology, with recent work focusing on oscillating gradient diffusion MRI, spinal cord perfusion imaging, and biomechanical modeling of spinal cord stress. Key trends include translation of advanced diffusion MRI techniques to clinical stroke and trauma applications, multi-center validation of neuroimaging biomarkers, and integration of finite element modeling with in vivo imaging. Professional recognition includes: Young Investigator Award Finalist, International Society for Magnetic Resonance in Medicine (2006) Junior Fellow Recipient, International Society for Magnetic Resonance in Medicine (2010) Fellows Award for Research Excellence (FARE), National Institutes of Health (2011) As an active Junior Fellow of the International Society for Magnetic Resonance in Medicine and member of the Society for Neuroscience, Dr. Budde collaborates across disciplines through MCW's Center for Imaging Research and Neuroscience Research Center. His work incorporates multi-center studies and animal models to validate imaging biomarkers, with ongoing projects examining sleep-TBI interactions and spinal cord biomechanics. Current research leverages high-field MRI and computational modeling to establish prognostic capabilities for acute neurological trauma.

Patrick Felkeمشاهده پروفایل

استاد

• IT Security
• Cryptography
• Cryptanalysis
• +۶ مورد دیگر

Prof. Dr. Patrick Felke is a Professor for IT Security at the University of Applied Sciences Emden/Leer, affiliated with the Department of Technology, Electrical Engineering and Informatics. His research focuses on advanced cryptographic techniques, including cryptanalysis of encryption algorithms, IoT security vulnerabilities (e.g., Z-Wave protocols), and mathematical foundations of cryptographic primitives. He leads the IT-Sec Lab (https://itsec-lab.hs-emden-leer.de/), which explores topics like multivariate cryptography, symmetric cipher design, and side-channel attack mitigation. His research spans both theoretical and applied aspects of information security, with notable contributions to cryptanalysis of TETRA encryption algorithms, analysis of multivariate encryption schemes (e.g., EFLASH), and identification of critical flaws in wireless communication standards. Felke also contributes to the Digital Hub Ostfriesland initiative, focusing on IT security advancements in regional technology ecosystems. Key areas of expertise include: Cryptographic protocol vulnerability analysis Z-Wave and IoT device security Design and cryptanalysis of symmetric/asymmetric encryption systems Mathematical foundations of nonlinear functions in cryptography Publications emphasize practical cryptanalysis methods, algorithmic decomposition techniques, and cryptographic standard evaluation. His work bridges academic research with real-world cybersecurity challenges in telecommunications and embedded systems.

Andreas Stavridisمشاهده پروفایل

دانشیار

• Structural Engineering
• Earthquake Engineering
• Bridge Engineering
• +۵ مورد دیگر

Andreas Stavridis is an Associate Professor at the University at Buffalo, State University of New York , with a joint appointment as Professor at the University of Patras . His work focuses on structural and earthquake engineering, particularly masonry-infilled RC frames, seismic isolation systems, and post-earthquake damage assessment. Academic Background: PhD and MS in Structural Engineering from UC San Diego, Diploma in Civil Engineering from National Technical University of Athens Research Leadership: Director of the Structural Engineering and Earthquake Simulation Laboratory Dr. Stavridis specializes in nonlinear structural analysis, large-scale testing, and finite element modeling. His research addresses seismic vulnerability of non-ductile RC frames, innovative retrofit schemes (e.g., sliding subpanels, PVC-based isolation systems), and masonry-concrete interaction mechanisms. He has led field investigations of earthquake-damaged buildings in Nepal (2015 Gorkha earthquake) and Mexico (2017 Puebla-Morelos earthquake), integrating ambient vibration data with point cloud measurements for damage quantification. Current projects include developing simplified modeling frameworks for masonry infills, advancing surrogate statistical models for seismic risk assessment, and optimizing low-cost seismic solutions for developing countries. His work bridges experimental validation with computational modeling, appearing in 99+ peer-reviewed publications and collaborations with international teams across the US, Greece, and Nepal. Key Research Themes: Seismic Performance of Infilled RC Frames Nonlinear Dynamic Modeling Hybrid Retrofit Techniques Post-Disaster Structural Assessment Low-Cost Base Isolation Systems Bayesian Model Updating

• Post-harvest technology
• Mathematical modeling
• Computational fluid dynamics (CFD)
• +۳ مورد دیگر

Georgios Xanthopoulos is an Associate Professor at the Agricultural University of Athens, affiliated with the School of Environment and Agricultural Engineering and the Department of Natural Resources Management & Agricultural Engineering. His research focuses on post-harvest technologies, computational modeling of physical processes in agricultural products, and digital innovations in agriculture. Education: Agricultural Engineer (NTUA), MSc in Mathematical Modeling (NTUA), PhD in Computational Fluid Mechanics (Newcastle) Academic Leadership: Director of Department of Agricultural Constructions & Agricultural Engineering since 2022 Teaching: 11 undergraduate and 5 postgraduate courses, including Digital Technologies & Smart Infrastructure in Agriculture Research highlights include CFD modeling of drying processes, UV-C disinfection applications, and IoT systems for agricultural monitoring. His work addresses critical challenges in food preservation, fungal contamination prevention, and precision agriculture through mathematical and computational approaches. Scientific contributions feature over 45 peer-reviewed publications, 1 patent, and participation in 3 major research programs. Awards include the I.K.Y. scholarship for PhD studies and recognition for innovative drying process models.

Bella Tobinمشاهده پروفایل

استادیار

• Number Theory
• Arithmetic Dynamics
• Arithmetic Geometry
• +۷ مورد دیگر

Bella Tobin is an Assistant Professor of Mathematics in the Department of Mathematics at Agnes Scott College, located in Atlanta, Georgia. She is affiliated with the College of Arts and Sciences and actively contributes to both research and undergraduate education in pure mathematics. BSc in Mathematics, University of Vermont MA in Mathematics, University of Hawaii PhD in Mathematics, University of Hawaii (2019) Her primary research interests lie in number theory and arithmetic dynamics , with a focus on post-critically finite maps, dynamical Belyi maps, and the interplay between arithmetic dynamics and arithmetic geometry. She explores deep structural properties of polynomial and rational dynamical systems over number fields and non-archimedean fields, particularly through equidistribution phenomena and algebraic invariants. The recent publications highlight a consistent trend in arithmetic dynamics and modular forms , combining tools from algebraic geometry, Galois theory, and p-adic analysis. Her work often involves collaborative efforts across institutions, focusing on irreducibility, supercongruences, and stochastic aspects of adelic measures. These contributions place her at the intersection of pure number theory and dynamical systems. She has been actively involved in the academic community through speaking engagements and organizing special sessions, including at the AWM Research Symposium and regional number theory conferences. Bella Tobin has held postdoctoral positions at Oklahoma State University (2019–2022) and Oregon State University (2022–2023), working with Paul Fili and Clay Petsche respectively. She continues summer collaborations with Thrive Scholars, indicating ongoing mentorship and outreach. While formal advisees are not listed, her collaborative research suggests strong engagement with junior mathematicians and students. She maintains a research presence through her personal website and arXiv publications, and is committed to inclusive and accessible mathematics education, aiming to make the subject approachable and engaging for all students.

Natalia Seoane Iglesiasمشاهده پروفایل

دانشیار

• Semiconductor Device Simulation
• Nano-Device Variability
• Parallel and Distributed Computing
• +۳ مورد دیگر

Natalia Seoane Iglesias serves as an Associate Professor in the Department of Applied Physics at the University of Santiago de Compostela's College of Physics. Her research integrates semiconductor device physics with high-performance computing to address challenges in next-generation electronics and energy conversion systems. B.Sc. in Physics, University of Santiago de Compostela (Spain) Ph.D. in Physics, University of Santiago de Compostela (2007) Postdoctoral research: University of Glasgow (2007-09), University of Edinburgh (2011), Swansea University (2013-15) Her research focuses on semiconductor device simulation , nanoscale variability analysis , and laser power conversion systems . She develops advanced computational tools combining 3D finite-element modeling with machine learning techniques to optimize device performance. Current projects target ultra-high efficiency (>80%) SiC-based laser converters for space applications and statistical variability studies in sub-10nm transistor architectures. Her publication portfolio reveals strong trends in machine learning-enhanced TCAD and high-concentration photovoltaics . Recent work demonstrates how vertical epitaxial heterostructures with SiC/GaN materials can overcome traditional efficiency barriers in wireless power transfer systems, while her nanoscale variability studies provide critical insights for future CMOS scaling. Key scientific contributions include: Development of MLFoMpy for semiconductor data post-processing Novel Pelgrom-based predictive models for device variability Breakthrough laser power converter architectures exceeding 80% efficiency Comprehensive studies of metal grain effects in nanosheet FETs She leads the rePowerSiC project (2024-2028) developing space-qualified laser power systems and contributes to multiple EU-funded initiatives in high-performance computing. Her team employs advanced simulation frameworks including VENDES and Silvaco Atlas for device characterization, with applications ranging from satellite power systems to refinery monitoring drones.

Roberto Peironeمشاهده پروفایل

دانشیار

• Fractals
• Dynamical systems
• Gamma-convergence
• +۴ مورد دیگر

Roberto Peirone is an Associate Professor in Mathematical Analysis at the Department of Mathematics, University of Rome Tor Vergata, with an academic career spanning over four decades since obtaining his Laurea from the University of Genova in 1981. Education: Laurea in Mathematics, University of Genova, 1981 Research Interests: Professor Peirone's work centers on Fractals, Dynamical systems, Gamma-convergence, Homogenization, and General topology. His research investigates mathematical structures of self-similar sets, energy forms on fractals, and scaling behaviors, contributing to theoretical frameworks for analysis on irregular spaces. Key themes include existence and uniqueness of self-similar energies, spectral properties of fractal Laplacians, and topological dynamics in iterated function systems. Recent Publications: His eight publications (as of 2020) reveal a cohesive focus on fractal geometry and analysis, with recurring exploration of energy forms, eigenstructures, and metric properties on fractals. These works demonstrate methodological rigor in functional analysis and measure theory, addressing fundamental questions about mathematical behavior on non-smooth domains. Scientific Awards: No scientific awards are mentioned in the available information. Advising and Grants: Professor Peirone actively engages students through structured problem assignments (e.g., Rome-Moscow School 2016) and regular office hours. While specific grant details are absent, his sustained publication record and course development indicate consistent research support. He maintains accessibility via multiple communication channels, including university email, private email, and Skype consultations. Laboratory and Teams: No dedicated research laboratory, team, or affiliated research center is documented in the provided sources.