جست‌وجوی استاد و پژوهشگر

Fabian Hartmannمشاهده پروفایل

پژوهشگر

• Semiconductor Physics
• Nanoelectronics
• Quantum Devices
• +۳ مورد دیگر

Dr. Fabian Hartmann is a Group Leader of the 'Nanoelectronics' group at the Chair of Technical Physics, University of Würzburg. His research focuses on III-V semiconductor systems, particularly InAs, GaSb, and AlSb, for optoelectronic devices including resonant tunneling diodes (RTDs) and mid-infrared detectors. He leads a team exploring quantum mechanical effects in nanoscale devices, with applications in quantum communication, gas sensing, and topological insulators. His group develops advanced heterostructures and superlattices to enhance device performance in high-speed electronics and photon detection. Research interests include resonant tunneling phenomena, mid-infrared light emitters/detectors, and topological quantum wells. Key projects involve designing GaSb-based RTD photodetectors for single-photon counting and developing type-II superlattices for enhanced detectivity. The team also investigates dual-gated InAs/GaInSb quantum wells for tunable bandgap energies. Awards: None explicitly listed. His work is supported by projects such as the Cluster of Excellence ct.qmat and the Würzburg-Wrocław Nanophotonics Center. He advises PhD and master’s students in technical physics and collaborates on EU/DFG-funded initiatives. His laboratory is located in Building P1 (Physics), Room A026, at Am Hubland in Würzburg.

Casey Dunnمشاهده پروفایل

استاد

• Animal Evolution
• Genomics
• Phylogenetics
• +۵ مورد دیگر

Casey Dunn is a Professor in the Department of Ecology & Evolutionary Biology at Yale University, with a secondary appointment in Genetics. His research focuses on animal evolution, particularly using computational methods to analyze evolutionary relationships and genomic data. Dunn's lab studies siphonophores, exploring their structure, development, and ecological roles. He co-authored Practical Computing for Biologists to bridge computational skills with biological research. Education: PhD in Ecology and Evolutionary Biology from Yale University (2005). Key research interests include phylogenetics, functional specialization in colonial organisms, and the integration of genomics with ecological studies. His work spans field, laboratory, and computational approaches, with contributions to understanding HIV transmission networks through molecular epidemiology. Publications highlight advancements in phylogenetic analysis, siphonophore biology, and HIV cluster dynamics. Collaborations include public health partnerships to apply molecular data in infectious disease control. Dunn's lab members and students engage in diverse projects, from genomic studies to marine ecology.

• Medical Imaging
• Deep Learning
• Artificial Intelligence in Healthcare
• +۳ مورد دیگر

Menghua Xia is a Research Fellow in the Department of Radiology & Biomedical Imaging at Yale School of Medicine, Yale University. Their research focuses on advancing medical imaging techniques through deep learning and artificial intelligence, particularly in PET, SPECT, and CT imaging. Key areas include low-dose imaging, image denoising, and federated learning applications for clinical settings. Research interests emphasize improving diagnostic accuracy through computational methods, such as cross-tracer generalizability in PET attenuation correction, dynamic cardiac imaging optimization, and anatomically informed diffusion models. Collaborations involve multi-institutional validation and real-world low-dose data analysis to enhance clinical workflows. Prominent contributions include frameworks like Fed-NDIF for federated low-count PET denoising and anatomically/metabolically informed diffusion models. Their work bridges machine learning innovation with practical medical imaging challenges, aiming to reduce radiation exposure while maintaining diagnostic quality.

• Cardiovascular Disease
• Atherosclerosis
• Immunology
• +۴ مورد دیگر

Dr Helen Williams is an Adjunct Lecturer in the Department of Surgery at the University of Sydney's Westmead Clinical School. She leads cardiovascular research focusing on monocyte-driven mechanisms in atherosclerosis, with a particular interest in how inflammatory pathways contribute to heart attack and stroke risk. Her work combines clinical observations with translational research in animal models. Williams completed her PhD at the University of Sydney in 2011, investigating metabolic profiles in genetically modified mice. Since 2011, she has conducted postdoctoral research at Westmead Hospital, advancing understanding of cardiovascular disease pathogenesis through studies of monocyte behavior in human patients and preclinical models. Her research interests include: Monocyte heterogeneity and polarization Role of inflammatory pathways in atherosclerosis Interactions between lipid metabolism and immune function Monocyte contributions to hypertrophic scarring and burn injury Recent publications highlight breakthroughs in DNA vaccine development for atherosclerosis (2018), discovery of monocyte-ApoA1 interactions (2021), and characterization of fetal monocyte profiles in pregnancy complications. Her work bridges basic science with clinical applications, emphasizing translational potential. Awards include the 2023 Cardiovascular Research Network Travel Award and 2021 Best Oral Presentation at the Westmead Symposium. She holds memberships in major cardiovascular research societies including the Australian Atherosclerosis Society (director 2015-2017, 2020-2022) and International Atherosclerosis Society. Current projects include establishing the NSW Familial Hypercholesterolaemia Biobank to address knowledge gaps in this genetic disorder. This initiative combines clinical sample banking with advanced lipid profiling techniques.

Amy Hinsleyمشاهده پروفایل

عضو هیئت علمی

• Wildlife Conservation
• Machine Learning Applications
• Conservation Policy
• +۳ مورد دیگر

Dr. Amy Hinsley is a Senior Research Fellow and Schmidt AI in Science Fellow at the Oxford Martin Programme on the Illegal Wildlife Trade, based at the University of Oxford. Her work bridges cutting-edge machine learning methods with social science to address wildlife trade sustainability, particularly focusing on interventions to mitigate threats from illegal and unsustainable practices. She leads projects on predicting wildlife trade trends using AI, Bayesian Belief Network models for medicinal plant markets, and analyzing patents to identify commercial shifts in wildlife products. Her research emphasizes collaboration with NGOs, policymakers, and international bodies like the IUCN (as Chair of the Orchid Specialist Group) to ensure evidence-based conservation policy. Prior to Oxford (since 2017), she worked at the UNEP World Conservation Monitoring Centre on CITES-related policy support. She holds a PhD investigating online orchid trade dynamics and has published extensively on topics ranging from bear bile markets to jaguar trade monitoring in Bolivia. Key achievements include co-designing stakeholder interventions to reduce wildlife consumption and pioneering methodologies like the Unmatched Count Technique to study sensitive behaviors. Her work on orchids spans domestic trade in Vietnam, CITES compliance in Nepal, and the global ornamental plant trade’s environmental risks. She advocates for inclusive conservation approaches that address both commercial and non-commercial drivers of biodiversity loss. Dr. Hinsley’s awards include the Schmidt AI in Science Fellowship, recognizing her innovative application of AI to conservation challenges. Her research portfolio spans over 50 peer-reviewed articles and spans disciplines such as policy analysis, behavioral science, and computational ecology.

Takashi Owadaمشاهده پروفایل

دانشیار

• Extreme Value Theory
• Heavy Tail Probability
• Hyperbolic Geometry
• +۸ مورد دیگر

Takashi Owada is an Associate Professor in the Department of Statistics at Purdue University , with a courtesy appointment in the College of Science and Mathematics. His research bridges probability theory and topological data analysis , focusing on understanding the structure of complex stochastic systems through geometric and topological methods. Education Ph.D. , Operations Research (Applied Probability & Statistics concentration), Cornell University, 2013 M.A. , Economics, University of Tokyo, 2004 B.A. , Economics, University of Tokyo, 2002 Research Interests Owada’s work lies at the intersection of extreme value theory , heavy-tailed processes , and random topology , with applications to topological data analysis and random geometric graphs . He investigates limit theorems, large deviation principles, and persistent homology in systems with hyperbolic geometry and long-range dependence . His research also extends to infinitely divisible processes and stable stochastic models in high-dimensional settings. The trends in Owada’s recent work emphasize the interplay between algebraic topology and probability theory to analyze the structure of complex networks using topological invariants and geometric functionals . His studies often incorporate extreme-value behavior and heavy-tailed distributions in random simplicial complexes , hyperbolic graphs , and stochastic point processes . Scientific Awards Regina and Norman F. Carroll (Col. USAF) Research Award, 2021, 2023 Department of Statistics Outstanding Assistant Professor Teaching Award, 2021 Excellent Research Paper Award, 2018 Korean Mathematical Society Best Paper Award, 2018 Institute of Mathematical Statistics (IMS) Travel Award, 2014 Grants and Teaching Owada has secured significant funding, including the Air Force Office of Scientific Research (AFOSR) grant for studying complex stochastic networks (2022–2025) and a National Science Foundation (NSF) grant on Random Algebraic Topology (2018–2022). His teaching portfolio includes graduate and undergraduate courses such as Probability Theory , Elements of Stochastic Processes , and Basic Probability and Applications , reflecting his expertise in probability and stochastic modeling.

• Neuroscience
• Epilepsy Research
• Neuroanatomy
• +۳ مورد دیگر

Prof. Safiye Çavdar is a Professor at Koç University, specializing in neuroscience with a focus on absence epilepsy mechanisms. Her research investigates thalamic nuclei roles in epilepsy using immunohistochemistry and electron microscopy. She has conducted studies on GAERS rats, comparing them to Wistar controls to understand glutamatergic and GABAergic neuronal populations, synaptic structures, and cerebellar pathways. Education: BSc from Hacettepe University Science Faculty, MSc from Hacettepe Medical Faculty, PhD from Cerrahpaşa Medical Faculty. Postdoctoral research at Queens Medical Center, Nottingham, UK under Prof. Geffrey Burwell. Research emphasizes thalamic circuitry in epilepsy, developmental neurobiology of thalamic nuclei, and cerebellar peduncle pathways. No specific grants or awards are listed in the text, though her work is published in journals like Neuroscience Bulletin and Neurol Sci.

• Remote Sensing
• Lidar Technology
• Forest Ecology
• +۳ مورد دیگر

Dr. Jacqueline Rosette is a Senior Lecturer in the Department of Geography at Swansea University, part of the Faculty of Science and Engineering. Her research focuses on remote sensing applications, particularly LiDAR technology for forestry and environmental monitoring. She has collaborated with institutions globally on projects involving biomass estimation, vegetation height analysis, and satellite data interpretation. Dr. Rosette teaches modules such as GEC140 Project and Field Methods and GEGM03 Drone Accreditation and Remote Sensing , emphasizing practical skills in geospatial data collection and analysis. Her research interests span lidar-based biomass assessment, forest parameter retrieval, and environmental remote sensing. She has supervised PhD students investigating topics like drone-based environmental monitoring, oak decline detection, and sea-level change impacts. Dr. Rosette's work has been published in journals like Global Change Biology , Remote Sensing of Environment , and Nature , showcasing her contributions to understanding forest dynamics and climate change impacts. Dr. Rosette is actively involved in academic supervision, co-supervising research on pathogen infection detection via hyperspectral reflectance and desertification in Iraq through geomatic approaches. Her teaching integrates fieldwork, data analysis techniques, and ethical considerations in geographical research. She also contributes to initiatives like the NASA Carbon Monitoring System and has developed curricula for drone remote sensing certifications aligned with Civil Aviation Authority standards.

Gianluca Fusaiمشاهده پروفایل

استاد

• Financial Engineering
• Mathematical Finance
• Numerical Methods for Finance
• +۶ مورد دیگر

Gianluca Fusai is a Professor of Mathematical Finance at Bayes Business School, University of London. He also holds a Full Professorship at Università del Piemonte Orientale. His research focuses on Financial Engineering, Numerical Methods for Finance, and Energy Markets. He has authored/co-authored over 50 publications, including the textbook 'Implementing Models in Quantitative Finance' (Springer). Fusai has extensive consultancy experience with institutions like BNP Paribas and has served on editorial boards of journals such as Quantitative Finance and Mathematical Finance . Education: BSc in Economics, Bocconi University MSc in Statistics and Operational Research, University of Essex PhD in Finance, Warwick Business School Research Interests: His work spans Credit Risk, Commodity Derivatives, and advanced numerical techniques for pricing exotic options. He has developed methods for efficiently valuing Asian options, swaptions, and basket options under non-Gaussian models. Recent contributions address calibration risk and systemic risk in financial markets. Professional Activities: Organizer of the Financial Engineering Workshops at Bayes Business School Referee for journals including Journal of Banking and Finance and European Journal of Operational Research Consultant for public and private sector institutions Advising & Grants: Supervised multiple PhD students in topics like swaption pricing and counterparty credit risk. Active in grant-related research on systemic risk and quantitative finance applications. Labs/Teams: Leads research initiatives in computational finance and risk management at Bayes Business School, collaborating with institutions globally.

Jin-Yi Caiمشاهده پروفایل

استاد

• Theoretical Computer Science
• Computational Complexity Theory
• Holographic Algorithms
• +۳ مورد دیگر

Jin-Yi Cai is a distinguished Professor of Computer Science and Steenbock Professor of Mathematical Sciences at the University of Wisconsin at Madison, where he has been a faculty member since 2000. Previously, he held academic positions at State University of New York at Buffalo (Professor 1996-2000, Associate Professor 1993-1996), Princeton University (Assistant Professor 1989-1993), and Yale University (Assistant Professor 1986-1989). He has also been a Radcliffe Institute Fellow at Harvard University (2007-2008) and a Guggenheim Fellow and Visiting Professor at the University of Toronto (1999-2000). Dr. Cai earned his Ph.D. in Computer Science from Cornell University in 1986, an M.A. in Mathematics from Temple University in 1983, and a Certificate in Mathematics from Fudan University in 1981. His academic journey spans prestigious institutions across the United States and demonstrates a consistent trajectory of scholarly excellence. Professor Cai's research focuses on theoretical computer science, particularly computational complexity theory, with significant contributions to holographic algorithms, counting constraint satisfaction problems, and graph homomorphisms. His work bridges computer science and mathematics, developing sophisticated algorithms and proving fundamental complexity results. His research has evolved from foundational work in structural complexity and oracle separations to specialized work in holographic algorithms and counting problems, demonstrating both depth and breadth in theoretical computer science. His publication record shows a consistent output of high-impact research, with major contributions spanning over three decades. His work on holographic algorithms represents a particularly innovative strand of research that has opened new avenues in computational complexity. The progression of his research demonstrates increasing specialization in counting problems while maintaining connections to broader theoretical frameworks in computer science and mathematics. 2022 Simons Fellowship 2022 CCF Award for Overseas Outstanding Contribution 2022 Fellow, American Mathematical Society (AMS) 2021 Fulkerson Prize in Discrete Mathematics 2021 Gödel Prize in Theoretical Computer Science 2014 Steenbock Professorship, UW Madison 2001 ACM Fellow 1998 John Simon Guggenheim Fellowship 1994 Sloan Fellowship Professor Cai has served as Editor of the Journal of Computer and System Sciences and Associate Editor of the Journal of Computational Complexity. His work has been recognized with numerous prestigious fellowships including the Guggenheim Fellowship, Sloan Fellowship, and Humboldt Research Award. His research has had significant impact in theoretical computer science, earning him the Gödel Prize and Fulkerson Prize, two of the most prestigious awards in theoretical computer science and discrete mathematics respectively.

Erika Roldan Roaمشاهده پروفایل

استادیار مهمان

• Stochastic Topology
• First Passage Percolation
• Extremal Topological Combinatorics
• +۳ مورد دیگر

Erika Roldán Roa is a mathematician with academic affiliations at Ohio State University (Visiting Assistant Professor, 2019-2020) and Technische Universität München (Marie Skłodowska-Curie Fellow, 2020-2022). She holds a Ph.D. in Probability and Statistics from CIMAT (2018) and has conducted postdoctoral research at institutions like EPFL and Ohio State. Her work bridges stochastic topology, combinatorics, and educational technology, focusing on topics like cubical sliding puzzles, Eden growth models, and extremal topological problems in polyominoes. Education: Ph.D. in Probability and Statistics, CIMAT (2018) M.Sc. in Mathematics, CIMAT (2014) B.Sc. in Mathematics, Universidad de Guanajuato (2010) Research Interests: Her research spans stochastic topology, extremal combinatorics, and applications of discrete geometry to puzzles and games. She explores configuration spaces, topological properties of random structures, and innovative educational approaches like the Music Math Project, which integrates music and mathematics. Awards: Includes the Marie Skłodowska-Curie Fellowship (2020-2022), Arana-Ordaz Prize (2019), and Sofia Kovalevskaia Prize (2019). She has also received grants from CONACYT and CIMAT. Grants & Outreach: Developed workshops in marginalized communities using music and math, and contributed to software tools like the Eden Model analysis package. Active in science popularization through articles and outreach programs. Labs/Teams: Collaborated on projects like the Eden Model (topology analysis software) and extremal animal configurations, often involving interdisciplinary teams in mathematics and computer science.

• Theoretical High Energy Physics
• Gravitational Physics
• Black Hole Physics
• +۴ مورد دیگر

Achilleas Porphyriadis is an Assistant Professor in the Department of Physics at the University of Crete since 2022. He holds a BS from MIT (2010) and a Ph.D. in Theoretical Physics from Harvard University (2016). Prior roles include postdoctoral research at UC Santa Barbara (2016-2019) and Harvard's Black Hole Initiative (2019-2022). His research focuses on Theoretical High Energy Physics and Gravity , with emphasis on black hole dynamics, gravitational waves, holographic binaries, and string theory applications. Specific interests include extreme black hole horizons, symmetry properties, and quantum gravity phenomena. Recent articles explore topics like accidental symmetries in extreme spinning black holes (2025), gravitational perturbations in AdS₂ geometries (2021), and logarithmic entropy corrections (2017). His work often bridges classical gravity with holographic duality frameworks. He is affiliated with the Institute of Theoretical and Computational Physics and the Crete Center for Theoretical Physics (CCTP). No awards are explicitly listed in the provided texts.

Lennart Hoogerheideمشاهده پروفایل

دانشیار

• Econometrics
• Bayesian Analysis
• Monte Carlo Methods
• +۶ مورد دیگر

Lennart Hoogerheide is an Associate Professor at the Department of Econometrics, School of Business and Economics, Vrije Universiteit Amsterdam, and a Research Fellow at the Tinbergen Institute. He earned his PhD from Erasmus University Rotterdam in 2006. His research focuses on Bayesian econometrics, Monte Carlo integration methods, and computational statistics, with applications in financial econometrics and instrumental variable models. Hoogerheide has developed influential R packages like MitISEM and AdMit for Bayesian analysis and importance sampling. He has received awards including the 'Best Senior Lecturer' (2015-2016) and 'Lecturer of the Year' (2009-2010). His work explores complex posterior distributions, non-elliptical contours, and robust inference techniques in econometric models. His recent research includes time-varying factor models, Bayesian mode inference for discrete distributions, and adaptive mixture methods. He has been awarded the VENI grant (NWO, 2009) and is recognized for contributions to computational Bayesian methods in economics and finance.

• Composite Materials
• Polymer Composites
• Thermal Properties
• +۳ مورد دیگر

Ömer Berk Berkalp is a Professor in the Department of Textile Engineering at Istanbul Technical University. His primary research focuses on composite materials, particularly hybrid composites, polymer nanocomposites, and recycled material utilization. He leads projects such as the development of structural health monitoring systems for fiber-reinforced polymers and the investigation of interfaces in glass fiber hybrid composites. Education details are not explicitly listed, but his extensive publication record indicates advanced expertise in materials science and textile engineering. Key research interests include thermal/ mechanical characterization of composites, fire-retardant materials, and sustainable manufacturing practices. Notable projects include the design of lightweight composites using recycled cotton and plastic wastes, integration of MWCNT sensors in FRP composites, and studies on woven kenaf/carbon fiber hybrid systems. His work spans both academic research and industrial applications, particularly in automotive and construction sectors. Academic contributions include 31+ peer-reviewed articles and 3 major funded projects. Collaborations involve institutions globally, focusing on advanced materials and environmental sustainability. His lab specializes in composite material development, thermal analysis, and mechanical testing methodologies.

• Radiation Biology
• Medical Physics
• Dosimetry
• +۱۲ مورد دیگر

Professor Giuseppe Schettino is a Professor of Medical Physics at the University of Surrey with a joint appointment at the National Physical Laboratory (NPL). He also holds honorary positions as Senior Lecturer at Queen’s University Belfast and University College London. His academic journey began with a degree in Nuclear Physics from the University of Naples (1994) and a PhD from King’s College London (1999), followed by postdoctoral work at the Gray Cancer Institute and Columbia University. He served as a Lecturer at Queen’s University Belfast (2007–2013) before joining NPL as Principal Research Scientist (2013–2018), where he later became Head of Science for Medical Physics. Education: PhD in Physics, King’s College London, UK (1999) Laurea in Nuclear Physics, University of Naples, Italy (1994) His research focuses on radiation biology, advanced radiotherapy, and dosimetry , with emphasis on MRI-guided radiotherapy, proton and ion beam therapy, microdosimetry, and nanoparticle-based radiosensitization. He leads UK efforts in standardizing dosimetry and QA for preclinical radiotherapy, funded by Innovate UK and supported by CTRad and Cancer Research UK. His recent publications (2020–2023) reflect a strong trend in preclinical radiotherapy, 3D tumour models, dosimetry innovation, and biological effects of radiation . Key themes include radiomics, magnetic field interactions, and nanoparticle applications in cancer therapy. Scientific Awards and Recognition: No explicitly listed awards, but leadership in nationally funded programs indicates recognition. He has advised and collaborated with numerous researchers across institutions. Though no formal student list is provided, his senior authorship on multiple studies suggests mentorship roles. He is actively involved in developing anthropomorphic phantoms, end-to-end QA tests, and novel detectors for preclinical research. Labs and Teams: Medical Radiation Group, National Physical Laboratory Collaborations with Queen’s University Belfast, UCL, and international radiobiology consortia Lead of UK standardization initiatives in preclinical dosimetry