جست‌وجوی استاد و پژوهشگر

David Carmichaelمشاهده پروفایل

استاد

• Magnetic Resonance Imaging (MRI) Physics
• EEG-fMRI Integration
• Epilepsy Research
• +۳ مورد دیگر

Professor David Carmichael is a distinguished academic at King's College London , affiliated with the School of Biomedical Engineering & Imaging Sciences and the Department of Biomedical Computing . His research focuses on Magnetic Resonance Imaging (MRI) Physics , EEG-fMRI integration , and epilepsy neuroimaging , with a particular emphasis on mapping epileptogenic networks and optimizing MRI safety for concurrent neurophysiological recordings. Education : PhD in Medical Physics (UCL, 2004), MSci in Physics (UCL, 2000). External Role : Honorary Reader at UCL Great Ormond Street Institute of Child Health. His research interests span advanced neuroimaging techniques, including 7T MRI for pediatric epilepsy, quantitative susceptibility mapping to detect cortical abnormalities, simultaneous EEG-fMRI safety protocols, network-guided neuromodulation for treatment optimization. Recent publications highlight his work on ultra-high field MRI in drug-resistant pediatric cohorts, RF-induced heating safety during combined EEG-fMRI, image quality transfer for low-field MRI in developing regions, motion correction strategies in pediatric scans. He leads critical projects such as 7 Tesla Sodium MRI for Epilepsy (MRC-funded) and Minimal Motion MRI Systems (NIHR-funded), while contributing to global epilepsy research through the King’s Epilepsy Research Collective (KERC) .

Victoria C. Smithمشاهده پروفایل

استاد

• Tephrochronology
• Geochronology
• Volcanology
• +۳ مورد دیگر

Professor Victoria C. Smith is a leading volcanologist at the School of Archaeology, University of Oxford. Her research focuses on tephrochronology, using volcanic ash layers to date and correlate sedimentary and archaeological records. She manages Oxford's electron microprobe facilities and cryptotephra laboratory, supporting global research on explosive volcanism. Research Interests : Volcanology, tephrostratigraphy, magmatic processes, and paleoenvironmental reconstruction. Geographic Focus : Italy, Mexico, Japan, Azores, Canary Islands, Ethiopian Rift, Antarctica. Her recent publications highlight collaborations in geochronology, magma evolution modeling, and tephra applications in synchronizing climate-human records. She supervises MSc and doctoral students in Archaeological Science, focusing on volcanic ash as chronological tools.

Kristen Donnellمشاهده پروفایل

دانشیار

• Microwave and millimeter-wave nondestructive testing
• Thermography
• Frequency selective surfaces
• +۷ مورد دیگر

Kristen Donnell is an Associate Professor in the Department of Electrical and Computer Engineering at Missouri University of Science and Technology (Missouri S&T) . She also serves as the Interim Director of the Center for Infrastructure Engineering Studies (CIES) and Director of the Microwave Sensing (mSense) Laboratory . She is recognized as the Woodard Associate Professor of Excellence . Education: Ph.D. in Electrical Engineering, Missouri University of Science and Technology (2010) M.S.E.E., University of Missouri-Rolla (2003) B.S.E.E., Colorado State University (2001) Research Interests: Dr. Donnell's research lies at the intersection of microwave engineering and nondestructive evaluation. Her work focuses on microwave and millimeter-wave nondestructive testing , active microwave thermography , frequency selective surfaces (FSS) , and materials characterization . She has developed novel techniques for structural health monitoring of infrastructure, particularly in carbon fiber reinforced composites and cement-based materials . Her lab explores embedded sensing , 3D-printed microwave structures , and real-time defect detection using advanced microwave imaging. Scientific Awards & Honors: Woodard Associate Professor of Excellence Senior Member of IEEE Member, IEEE Instrumentation and Measurement Society Administrative Committee Laboratory & Leadership: She leads the Microwave Sensing (mSense) Laboratory at Missouri S&T, which focuses on cutting-edge research in microwave sensing and imaging. Under her leadership, the lab has contributed significantly to nondestructive evaluation techniques using microwave and millimeter-wave technologies. She also oversees the Center for Infrastructure Engineering Studies (CIES) as interim director, guiding interdisciplinary research in infrastructure health monitoring. Professional Affiliations: IEEE Instrumentation and Measurement Society – Administrative Committee member since 2007 IEEE – Senior Member

Mahmoud Moradiمشاهده پروفایل

استاد

• Biomolecular Simulations
• Molecular Dynamics
• Protein Conformational Dynamics
• +۵ مورد دیگر

Mahmoud Moradi is a Professor of Physical Chemistry at the University of Arkansas, holding the distinguished position of Bruker Analytical Science Professor in the Department of Chemistry & Biochemistry within the College of Arts & Sciences. With a strong background in physics and computational chemistry, he leads the Biomolecular Simulations Lab (BioSimLab) focusing on protein dynamics and membrane transport mechanisms. Education: Ph.D. in Physics from North Carolina State University M.Sc. in Physics from Sharif University of Technology, Iran B.Sc. in Physics from Sharif University of Technology, Iran Postdoctoral Associate at Beckman Institute and Department of Biochemistry, University of Illinois at Urbana-Champaign (2011-2015) Professor Moradi's research centers around two inter-related questions: (i) how do proteins function by changing their conformation and undergoing concerted motions? and (ii) how can we simulate these functionally important conformational changes at an atomic level? His lab develops and employs Molecular Dynamics (MD) based enhanced sampling techniques to tackle both problems. They are particularly interested in the study of large-scale conformational changes of proteins such as those involved in membrane transport and signal transduction. A novel combination of nonequilibrium and equilibrium MD based techniques are employed to reconstruct the slow biomolecular processes such as inward- to outward-facing structural transition of membrane transporters at an atomic level. This research has implications for understanding disease mechanisms at a molecular level and improving computational methodologies for biomedically relevant applications. Professor Moradi's recent publications demonstrate a strong focus on membrane protein dynamics, particularly examining cholesterol-protein interactions, GPCR mechanisms, and membrane transporter functions. His work increasingly integrates experimental and computational approaches, with a notable emphasis on SARS-CoV-2 spike protein dynamics during the pandemic years. The publications consistently apply advanced molecular dynamics techniques to investigate protein conformational changes, with growing applications in drug delivery systems and computational drug design. Scientific Awards: NIH MIRA (R35) Award, 2022-2027 (as PI): Physics-based characterization of functionally relevant protein conformational dynamics NSF I-Corps Award, 2021-2022 (as PI): Physics-Based Binding Affinity Estimator NSF CAREER Award, 2020-2025 (as PI): Riemannian Reformulation of Collective Variable Based Free Energy Calculation Methods NIH R15 Grant, 2020-2023 (as PI): Molecular Characterization of the Influenza Hemagglutinin Mediated Membrane Fusion DOE Grant, 2020-2023 (as co-PI): Protein Targeting to the Chloroplast Thylakoid Membrane NSF HDR Grant, 2019-2022 (as PI): Atomic Level Structural Dynamics in Catalysts Connor Endowed Faculty Fellowship, 2018 Fulbright College Outstanding Researcher Award for 2023/24 academic year Professor Moradi has successfully mentored numerous graduate students through their PhD programs, with recent graduates including Ehsaneh Khodadadi, Shadi Badiee, and Ugochi Isu. His research is supported by substantial grants from NIH, NSF, and DOE, totaling millions of dollars in funding. His NIH MIRA award represents a significant long-term commitment to his research program, while his NSF CAREER award recognizes both research excellence and educational contributions. The Biomolecular Simulations Lab at the University of Arkansas is a vibrant research group that combines computational and experimental approaches to study protein dynamics, maintaining strong collaborations with experimental groups both within the university and at other institutions.

Elizabeth Brainerdمشاهده پروفایل

استاد

• Biomechanics
• Evolutionary Morphology
• Vertebrate Anatomy
• +۷ مورد دیگر

Elizabeth Brainerd is the Robert P. Brown Professor of Biology and Professor of Medical Science in the Department of Ecology and Evolutionary Biology at Brown University. She has been a leading figure in vertebrate biomechanics and evolutionary morphology since joining Brown in 2005, where she directs the Keck XROMM Core Facility. Previously, she served as Assistant Professor (1994-1999) and Associate Professor (2000-2005) at the University of Massachusetts Amherst. Her research focuses on biomechanics and evolutionary morphology, combining anatomical studies with engineering principles to understand animal movement. Brainerd is a pioneer of X-ray Reconstruction of Moving Morphology (XROMM) technology, which enables 3D visualization of skeletal movement in living animals. Her work spans diverse vertebrate groups including fish, amphibians, reptiles, birds, and mammals, with applications to feeding, breathing, and locomotion mechanics. Brainerd's research has been consistently supported by major NSF grants, including the development of microXROMM for high-resolution imaging of small animals. Her publications reveal a trajectory from foundational work on breathing mechanics to innovative applications of XROMM technology across multiple vertebrate systems, particularly in suction feeding mechanics and skeletal kinematics. Her scientific recognition includes: Fellow of the American Association for the Advancement of Science (2004) Distinguished Research Achievement Award from Brown University (2019) Fellow of the American Association for Anatomy (2020) Joseph S. Nelson Lifetime Achievement Award in Ichthyology (2021) Bidder Prize Lecture from the Society for Experimental Biology (2023) Brainerd has mentored 7 doctoral students and 5 MS students to completion, plus over 50 undergraduate researchers. She has served as President of both the International Society of Vertebrate Morphology (2016-2019) and the Society for Integrative and Comparative Biology (2019-2021). Her teaching includes undergraduate courses in Comparative Anatomy, Comparative Physiology, and Human Physiology, graduate courses in Muscle Architecture and Biomechanics, and medical education in Human Anatomy.

Yann Disserمشاهده پروفایل

استاد

• Combinatorial Optimization
• Online Algorithms
• Graph Theory
• +۶ مورد دیگر

Professor Yann Disser is a faculty member in the Department of Mathematics at TU Darmstadt since 2021. He previously held an Assistant Professor (tenure-track) position at TU Darmstadt (2016-2021), a PostDoc position at TU Berlin (2012-2016), and a Visiting Professor role at Augsburg University (2015). His research spans Combinatorial Optimization , Online Algorithms , Graph Exploration , Computational Complexity , and Robust Optimization . Current position: Professor (W2), TU Darmstadt Previous: Assistant Professor (2016-2021), TU Darmstadt PostDoc & Habilitation: TU Berlin (2012-2016) His research focuses on algorithmic approaches to optimization problems, including: Combinatorial Optimization for problems like Steiner trees and knapsack variants Online Algorithms with applications to scheduling and transportation Graph Exploration by mobile agents and complexity bounds Computational Complexity of linear programming pivot rules Network Flows and geometric reconstruction Recent publications analyze incremental maximization with greedy methods, lower bounds for active-set methods , and universal circuit designs . His work appears in top venues like IPCO , ESA , and SODA . He advises a team of researchers including David Weckbecker, Farehe Soheil, and Alexander Birx. Current and past advisees often focus on algorithmic theory, with placements at institutions like HPI Potsdam and Merck.

• History and Philosophy of Mathematics
• Early Analytic Philosophy
• Logic
• +۲ مورد دیگر

Georg Schiemer is a Professor at the Department of Philosophy, University of Vienna, and serves as head of the Institute Vienna Circle. He is also an External Fellow at the Munich Center for Mathematical Philosophy, LMU Munich. His research spans the history and philosophy of mathematics, early analytic philosophy, logic, and formal philosophy of science. Institute Vienna Circle (Head) Munich Center for Mathematical Philosophy (External Fellow) His work emphasizes structuralism, focusing on mathematical structures in historical contexts (e.g., Carnap, Hilbert) and their philosophical implications. Recent publications analyze axiomatics, model theory, and epistemic frameworks in foundational mathematics and science. Scientific awards include his appointment as an External Fellow at LMU Munich. He teaches courses such as Logic, Philosophy of Science Colloquiums, and interdisciplinary seminars at the intersection of philosophy, theology, and biology.

• Greek Philology
• Classical Reception
• Ancient Greek Literature
• +۱۱ مورد دیگر

Jordi Redondo Sánchez is a Professor in the Department of Classical Phil at the University of Valencia, where he is affiliated with the Faculty of Philology, Translation and Communication. His academic work centers on Greek Philology, with a strong emphasis on classical reception, ancient Greek literature, and translation studies, particularly in Catalan and Iberian contexts. His research interests include Hellenistic poetry, epigram, tragedy, rhetoric, linguistic analysis of classical texts, and the transmission of classical culture through medieval and modern literature. He is a member of two research groups: the GIRLC (Research Group on the Reception of Classical Literatures) and GIRHA (Resources Innovation Group in Ancient History), reflecting his interdisciplinary engagement with both literary and historical dimensions of the ancient world. The majority of his recent publications (2021–2024) are critical reviews and literary analyses focusing on Euripides, Sophocles, Theocritus, Bion, Pausanias, and Herodotus, as well as studies on biblical translations such as the Montserrat Bible and the Interconfessional Catalan Bible. His articles often explore narrative motifs, translation variants, linguistic features, and the interplay between myth and literature across cultures and periods, demonstrating a consistent scholarly focus on philological precision and cultural continuity. He earned his PhD from the University of Salamanca in 1986 with a thesis on the linguistic study of Antiphon’s speeches, supervised by Dr. Antonio López Eire. No scientific awards or student advisement information is mentioned in the provided texts. His active research and publication record suggest ongoing contributions to classical scholarship, particularly in the areas of textual criticism, reception studies, and Iberian engagement with the classical tradition.

Grzegorz Kiarszysمشاهده پروفایل

استادیار

• Archaeological Methodology
• Conflict Archaeology
• Landscape Archaeology
• +۵ مورد دیگر

Dr. Grzegorz Kiarszys serves as Assistant Professor in the Department of Archaeology within the Institute of History at the University of Szczecin, a position he has held since October 2011. His academic journey began with archaeology studies at Adam Mickiewicz University in Poznań (1999-2004), where he earned his Master's degree under Prof. Danuta Minta-Tworzowska, followed by doctoral research completed in 2010 under Prof. Włodzimierz Rączkowski. His educational background includes: Master of Archaeology, Adam Mickiewicz University (2004) PhD in History, Adam Mickiewicz University (2010) Kiarszys specializes in archaeological methodology with emphasis on conflict archaeology, landscape archaeology, and advanced geospatial technologies. His research integrates social theories with non-invasive methods including GIS, airborne laser scanning (LiDAR), aerial photography, and photogrammetry to analyze spatial organization and landscape transformation. His work particularly focuses on medieval and post-conflict landscapes in Poland, examining how cultural and political forces shape spatial perception and material heritage. This interdisciplinary approach bridges traditional archaeology with digital humanities and heritage conservation. Analysis of his 15 most recent publications reveals consistent focus on landscape palimpsests, aerial perspective limitations, and conflict-related heritage. Key trends include methodological innovation in point cloud analysis, critical examination of cartographic representations, and theoretical exploration of time-space relationships in archaeological contexts. His work increasingly addresses Cold War heritage and post-WWII landscape transformations. Scientific recognition includes: Individual award from the Minister of Science and Higher Education (2016) for monograph on Górowski County defensive settlements His grant leadership demonstrates significant research impact: the 2014-2015 Ministry of Culture-funded project on defensive settlements in Górowski County established new methodological frameworks, while the 2018-2019 project on Soviet nuclear warhead storage sites pioneers archaeological perspectives on Cold War heritage. These projects involve international collaborations with researchers from Serbia, UK, and Ireland, often incorporating student fieldwork components. Kiarszys actively participates in rescue excavations across Poland and has contributed to major infrastructure projects including Copenhagen Metro archaeological surveys. Though not explicitly mentioning dedicated labs, his work integrates with student research groups including the Student Archaeological Club and Media and Civilization Research Club at the University of Szczecin, where he supervises field methodology and spatial analysis components.

• Orthodontic Biomechanics
• 3D Craniofacial Imaging
• Ultrasound Imaging
• +۳ مورد دیگر

Paul Major is Professor and Chair of the School of Dentistry, Senior Associate Dean (Dental Affairs), and ACFD Project Lead at the University of Alberta's Faculty of Medicine & Dentistry. He leads the Orthodontic Biomechanics Research Group and co-founded the Inter-disciplinary Airway Research Clinic (I-ARC), driving innovation across dental academia and clinical practice. His educational background includes a Doctorate of Dental Surgery (DDS) from the University of Alberta (1980) followed by MSc and Orthodontic Specialty training at the same institution (1988). He joined the academic staff in 1989 and served as Director of the TMD/Orofacial Pain Program (1991-2001) and Orthodontic Graduate Program (2001-2010). Dr. Major's research centers on Orthodontic Biomechanics , 3D Craniofacial Imaging , and Ultrasound Imaging . His Orthodontic Biomechanics Research Group developed the OSIM system for 3D force measurement on dental appliances, while his imaging work pioneers reconstruction of craniofacial structures and periodontal ultrasound diagnostics. Through the I-ARC, he leads interdisciplinary studies on pediatric sleep-disordered breathing, examining craniofacial morphology and orthodontic interventions. Analysis of his 190+ publications reveals consistent innovation in biomechanical analysis of orthodontic appliances, machine learning for dental image processing, and hydrogel development for intraoral imaging. Recent work bridges dentistry with engineering through projects on dental aerosols, clear aligner mechanics, and airway measurement software. Dr. Major has supervised over 75 graduate students while maintaining clinical teaching duties despite administrative leadership roles. His research is supported by grants enabling the OSIM system development and interdisciplinary I-ARC projects. He directs the Orthodontic Biomechanics Research Group's experimental biomechanics work and the I-ARC's clinical research team, which integrates pediatric ENT, pulmonology, radiology, and biomedical engineering specialists to advance treatment of pediatric sleep apnea through craniofacial analysis and innovative imaging techniques.

Callum Atkinsonمشاهده پروفایل

مدرس ارشد

• Turbulent flows
• Heat transfer
• Aerodynamics
• +۵ مورد دیگر

Dr. Callum Atkinson is a Senior Lecturer in Mechanical & Aerospace Engineering at Monash University, specializing in turbulent flow dynamics and experimental fluid mechanics. His research focuses on understanding and controlling turbulent shear flows in pipes, boundary layers, jets, and rocket engines, combining high-fidelity numerical simulations with advanced optical diagnostics like holographic PIV and tomographic techniques. He has developed novel methodologies for 3D velocity and density measurements, contributing to drag reduction studies, heat transfer analysis, and flow control in aerospace and mechanical systems. His work addresses UN Sustainable Development Goals related to energy efficiency and sustainable transport. Current roles include leading collaborative projects on adverse pressure gradient boundary layers and flow mixing, and he actively participates in peer review for journals like Journal of Fluid Mechanics and Physics of Fluids . He supervises PhD students in topics such as hybrid rocket engine optimization and turbulence modeling, leveraging Monash's engineering research infrastructure. Notable contributions include one of the world's largest adverse pressure gradient simulations and pioneering volumetric flow visualization techniques. His experimental toolkit includes laser diagnostics, tomographic PIV, and background-oriented schlieren systems. Recent work has explored superhydrophobic surface drag reduction, thermal jet behavior, and the dynamics of high-speed jet flows. He maintains a strong focus on bridging experimental and computational fluid dynamics to advance fundamental understanding and industrial applications.

• Bioinformatics
• Structural Biology
• Computational Biology
• +۳ مورد دیگر

Martin Steinegger is a researcher affiliated with Johns Hopkins School of Medicine and previously held roles at institutions such as the Max Planck Institute for Biophysical Chemistry and Technical University of Munich. His research focuses on bioinformatics, protein structure prediction, and computational methods for analyzing large genomic datasets. He has contributed to tools like MMseqs2, ColabFold, and Foldseek, advancing fields like metagenomics and structural biology. His work emphasizes scalable algorithms and open-source software development. Education includes a Master of Computer Science from Ludwig-Maximilians-Universität München (2013-2014) and a Ph.D. from Technical University of Munich (2014-2018). He has also held visiting scholar positions at Seoul National University, Centre for Genomic Regulation, and University of California, San Francisco. Key research interests revolve around protein structure prediction, metagenomic analysis, and developing machine learning frameworks for biological data. His publications highlight innovations in protein language models, structural phylogenetics, and database management systems. Notable contributions include the AlphaFold Protein Structure Database, MMseqs2 sequence search tool, and ColabFold for accessible protein folding predictions. His work bridges computational methods with biological discovery, addressing challenges in structural biology and genomic data interpretation.

• Austroasiatic Linguistics
• Historical Linguistics
• Language Classification
• +۳ مورد دیگر

Dr Paul Sidwell is an Honorary Associate in the Department of Linguistics at The University of Sydney. His research focuses on Austroasiatic languages, particularly their classification, historical development, and syntactic structures. He has authored and edited numerous works including A Grammar of May: An Austroasiatic Language of Vietnam (2021) and contributed to major volumes like The Languages and Linguistics of Mainland Southeast Asia: A Comprehensive Guide (2021). His work spans comparative linguistics, epigraphy, and the prehistory of Southeast Asian languages. Recent publications include studies on Nicobarese language classification (2022), Austroasiatic syntax (2020), and Tai-Kadai language history (2021). His research integrates phylogenetic analysis, historical reconstruction, and areal linguistics to explore language relationships across Mainland Southeast Asia. Notable contributions include foundational works on Palaungic languages (2015), Old Khmer (2014), and the Munda Maritime Hypothesis (2019). His scholarship combines rigorous linguistic fieldwork with theoretical insights, advancing understanding of Austroasiatic linguistic diversity.

Pier Palamaraمشاهده پروفایل

دانشیار

• Statistical Genetics
• Population Genetics
• Genomics
• +۶ مورد دیگر

Pier Palamara is an Associate Professor of Statistical and Population Genetics at the University of Oxford's Department of Statistics, affiliated with the Centre for Human Genetics. He holds a PhD in Computer Science from Columbia University (2014) and completed postdoctoral training at Harvard Chan School of Public Health and the Broad Institute of MIT and Harvard. His research integrates statistics, computer science, and genetics to develop methods for analyzing large genomic datasets, focusing on evolutionary parameters, demographic history, complex trait genetics, and disease variation. Key research interests include reconstructing population movements via genetic data, studying natural selection and mutation rates in human genomes, and developing scalable algorithms for genomic analysis. He leads the Palamara Lab, which collaborates on projects like the Genomics England haplotype reference panel and the UK Biobank imputation. His lab's work is supported by grants and partnerships, and they develop software tools such as ASMC, Quickdraws, and Threads. Recent publications highlight contributions to Indo-European genetic origins, scalable mixed-model association methods, and ancient DNA analysis of European farmers. He advises graduate students and has mentored researchers in computational biology and statistical genetics.

Bernhard Thomaszewskiمشاهده پروفایل

مدرس

• Computer Graphics
• Robotics
• Computational Mechanics
• +۳ مورد دیگر

Bernhard Thomaszewski is a Lecturer at the Department of Computer Science at ETH Zürich. His research focuses on computational mechanics, robotics, and computer graphics, with an emphasis on simulation-based design and material modeling. He explores topics such as deformable contact, flexible materials, and robotic mechanisms. His work bridges theoretical foundations and practical applications, including medical imaging, garment simulation, and biomechanical systems. Notable research interests include the development of novel algorithms for real-time simulation, optimization-driven design of mechanical systems, and integration of machine learning with physical models. He has contributed to advancements in finite element modeling, differentiable simulation, and topology optimization for robotic and biomedical applications. His recent projects highlight interdisciplinary collaboration, addressing challenges in areas like orthodontic treatment prediction, automated pipeline design, and neural network-driven material characterization. While no specific grants or awards are explicitly listed, his prolific publication record underscores his impactful contributions to computational engineering and computer science.