جست‌وجوی استاد و پژوهشگر

• Soft Condensed Matter
• Polymer Physics
• Statistical Physics
• +۲ مورد دیگر

Prof. Dr. Jens-Uwe Sommer holds dual appointments as Bereichsdirektor of the Polymer Theory Department at the Leibniz Institute of Polymer Research Dresden (IPF) and Professor of Polymer Theory within the Faculty of Mathematics and Natural Sciences at Technische Universität Dresden. His academic profile bridges theoretical physics and polymer science through rigorous statistical mechanical approaches to complex soft matter systems. His research spans soft condensed matter theory, polymer physics, and statistical thermodynamics with emphasis on topological network structures, polymer crystallization mechanisms, and interfacial phenomena. Key investigations include entanglement effects in polymer crystallization, nanoparticle-membrane interactions, and the design of responsive polymer brush coatings. His methodological toolkit combines Monte Carlo simulations with theoretical modeling to decode fundamental principles governing polymer dynamics across multiple scales. Analysis of his publication record (1995-2014) reveals consistent focus on polymer network topology, crystallization physics, and surface-mediated phenomena. His work demonstrates increasing sophistication in connecting molecular-scale interactions to macroscopic material properties, particularly in bimodal networks and nanostructured polymer systems. The progression from fundamental chain statistics to applied smart materials design highlights his integrative research philosophy. As an educator, Sommer teaches advanced courses including 'Theoretical Polymer Physics' and 'Emergent Properties From Non-Equilibrium Physics' at TU Dresden. He leads the Polymer Theory group at IPF, fostering collaboration between theoretical and experimental researchers to advance polymer science through computational-experimental synergy. His leadership in the 2003 edited volume 'Polymer Crystallization: Observations, Concepts and Interpretations' underscores his disciplinary influence.

Pedro Machadoمشاهده پروفایل

استاد

• Rheumatology
• Neuromuscular Diseases
• Axial Spondyloarthritis
• +۵ مورد دیگر

Pedro Machado FRCP PhD serves as Professor of Rheumatology and Neuromuscular Diseases at University College London (UCL), holding dual appointments in the Department of Neuromuscular Diseases (Institute of Neurology) and the Centre for Rheumatology (Division of Medicine). His clinical work spans University College London Hospitals (UCLH) and Northwick Park Hospital, where he leads specialist spondyloarthritis and myopathy/myositis clinics alongside the UCLH needle muscle biopsy service implemented in 2023. His research program focuses on new therapeutic strategies and outcome prediction in rheumatic diseases, with particular emphasis on muscle diseases and axial spondyloarthritis. Recent expansion includes investigation of COVID-19 outcomes in patients with rheumatic and neuromuscular conditions. His work integrates epidemiological approaches with clinical trial design across multiple international collaborations. Analysis of his 15 most recent publications reveals strong concentration in axial spondyloarthritis diagnostics (7 articles), COVID-19 rheumatology implications (5 articles), and myositis therapeutics (2 articles), demonstrating consistent leadership in developing classification criteria, imaging protocols, and pandemic response guidelines through major international consortia including EULAR, ASAS, and the COVID-19 Global Rheumatology Alliance. Michael Mason Award (British Society for Rheumatology, 2023) for clinical and scientific research excellence EULAR Honorary Member Award (2024) for outstanding service 15 total scientific prizes including four major fellowships Recipient of over £8 million research funding Professor Machado actively mentors through multiple educational channels including the EULAR Annual Epidemiology Course and UCL's Neuromuscular Disease Programme. His leadership extends to the needle muscle biopsy service he established at UCLH in 2023, alongside significant contributions to international clinical guidelines through his roles on the ASAS Executive Committee and EULAR steering groups. He directs research activities through the UCL Department of Neuromuscular Diseases and Centre for Rheumatology, collaborating with the Muscle Study Group, British Myology Society, and international networks including MIHRA where he serves as Vice-Chair.

Rajagopalan Balajiمشاهده پروفایل

استاد

• Hydroclimate Modeling
• Water Resources Management
• Climate Variability
• +۴ مورد دیگر

Rajagopalan Balaji is a Professor and Chair in the Department of Civil, Environmental, and Architectural Engineering at the University of Colorado Boulder, with a fellowship at the Cooperative Institute for Research in Environmental Sciences (CIRES). His work bridges climate science and water resources engineering, focusing on sustainable water management under climate variability. Education: B.Tech from NIT Kurukshetra (1989), M.Tech from Indian Statistical Institute (1991), and Ph.D. in Stochastic Hydroclimatology from Utah State University (1995). Research Themes: Climate drivers of hydrology, ensemble hydroclimate projections, decision support systems, Indian monsoon variability, big-data techniques, and Arctic sea-ice dynamics. Scientific Contributions: Over 50 peer-reviewed publications, including work on Science (2005) and Geophysical Research Letters (multiple). His Google Scholar articles (2025-2020) emphasize wildfire impacts on water quality, Bayesian forecasting models, and global lake storage trends. Awards: Devendra Lal Memorial Medal (2021), CIRES Fellow (2001-present). Students: Supervised 11 M.S. and Ph.D. students, including Katrina Grantz (Ph.D. 2005) and James Prairie (Ph.D. 2005). Applied Interests: Climate-informed reservoir operations, construction safety analytics, and paleoclimate reconstructions for modern water planning. His team develops tools like the SCHAAKE Shuffle for weather resampling.

Fu Zongmeiمشاهده پروفایل

استاد

• Atmospheric Chemistry
• Environmental Science
• Air Quality
• +۷ مورد دیگر

Fu Zongmei is a Professor at the School of Environmental Science and Engineering of Southern University of Science and Technology (SUSTech) since 2019. She previously held academic positions at Peking University (2010-2019) and Hong Kong Polytechnic University (2008). Her research focuses on atmospheric chemistry , air pollution , and chemistry-climate interactions , with expertise in inverse modeling of emissions, secondary organic aerosol formation, and air-sea exchange processes. Education: Ph.D. in Earth & Planetary Sciences (Harvard University, 2007), S.M. in Engineering & Applied Sciences (Harvard University, 2005), M.S. and B.S. in Atmospheric Sciences (National Taiwan University) Her research combines ground-based , aircraft , and satellite observations to study pollutant transport, cloud-aerosol interactions, and climate impacts on air quality. Recent work includes assessing haze mitigation strategies in Northern China and analyzing PM2.5 health risks through spatiotemporal modeling. Key honors include the National Natural Science Foundation of China Outstanding Young Scientist Fellowship (2012), the Tu Chang Wang Meteorological Science and Technology Award (2013), and the Ministry of Education Natural Science Award (Second Prize) (2019). She serves as an associate editor for Atmospheric Environment and contributes to major international conferences as session co-chair and organizer. Notable grants: NSFC General Project on Organic Nitrogen Aerosols (2020-2023, PI), National Key R&D Program on Air Quality Modeling (Co-I), and 973 Program on Chemistry-Climate Interactions (Co-PI)

• History of Mathematics
• 18th Century Mathematics
• Celestial Navigation
• +۴ مورد دیگر

Dr. Steven Wepster is an Assistant Professor in the Department of Fundamental Mathematics at Utrecht University's Faculty of Science. His work is centered in the Mathematical Institute, where he contributes to both teaching and research in the history of mathematics. Wepster is actively involved in teaching courses including History of Mathematics, Mathematical Techniques 1, and Mathematical Techniques 2. Wepster's research focuses on the history of mathematics, particularly 18th century mathematical astronomy, lunar distance methods, and the works of historical figures like Tobias Mayer and Ludolph van Ceulen. His work bridges mathematical theory with historical context, examining how mathematical concepts evolved and were applied in navigation and astronomy. He has made significant contributions to understanding circle quadratures, celestial navigation techniques, and the development of mathematical tables. His scholarly activities reveal a strong pattern of engagement with the history of mathematical astronomy and navigation. Wepster has presented numerous invited talks on topics ranging from lunar distance methods to historical mathematical education. His editorial work for journals like 'Nieuw archief voor wiskunde' demonstrates his commitment to advancing historical mathematical scholarship. Among his notable activities are presentations on Tobias Mayer's lunar tables, circle quadratures of Kashani and Van Ceulen, and transits of Venus. Wepster has also been actively involved in connecting pre-university and university mathematics education, serving on the National working group GMFW. Editor for 'Nieuw archief voor wiskunde. Serie 4' (2011-2013) Editor for 'Zebra series' (2012) Member of Epsilon Publishing (2011-2013) Member of National working group GMFW (2011-2013) Wepster maintains an active role in both academic and public dissemination of mathematical history, presenting at museums like Museum Boerhaave and participating in national mathematics events. His work demonstrates a commitment to making historical mathematical concepts accessible to both academic and general audiences.

Armita Törngren Golkarمشاهده پروفایل

دانشیار

• Emotion Regulation
• Emotional Learning
• Fear Conditioning
• +۳ مورد دیگر

Armita Törngren Golkar is an Associate Professor at Stockholm University's Department of Psychology and an affiliated researcher at Karolinska Institutet. Her work focuses on emotion regulation and learning mechanisms, particularly fear and safety learning through direct experience and social transmission. PhD in Psychology (2013) from Karolinska Institutet Postdoctoral Fellow at Karolinska Institutets emotionlab (2013-2015) Swedish Research Council International Postdoctoral Grant (2015-2018) Research Interests : Dr. Golkar's lab investigates how aversive experiences shape emotional learning through behavioral, psychophysiological, and fMRI approaches. Key areas include social threat transmission, fear extinction mechanisms, and neurodevelopmental factors in anxiety disorders. Her work bridges experimental psychology with clinical applications, exploring both individual and intergroup dynamics in emotional processing. Scientific Achievements : Recipient of the Wallenberg Academy Fellow grant (2021), Outstanding Young Researcher in Psychology award (2015), and Best Thesis of the Year recognition (2013). Her publications in journals like PNAS and Psychological Science demonstrate cross-disciplinary impact in cognitive neuroscience and social psychology.

Andrew Millerمشاهده پروفایل

پژوهشگر

• Gravitational Waves
• Dark Matter Detection
• Primordial Black Holes
• +۲ مورد دیگر

Dr. Andrew L. Miller is a postdoctoral researcher at Utrecht University and the National Institute for Subatomic Physics (Nikhef), focusing on gravitational wave detection and dark matter studies. His work bridges theoretical physics and computational methods within the LIGO/Virgo collaborations. PhD from Sapienza University of Rome and University of Florida MS in Physics from University of Florida BS in Physics from The College of New Jersey Andrew's research centers on gravitational waves from neutron stars , primordial black holes , and dark matter interactions . His methodological innovations include: Machine learning algorithms for detector noise classification Pattern-recognition techniques for continuous wave detection Semicoherent analysis for ultralight boson clouds Frequency-Hough transforms for binary inspirals His publications cover LIGO/Virgo data analysis, Einstein Telescope design, and LISA Pathfinder applications for dark matter detection. He has delivered tutorials on: Machine learning classification Parameter estimation in gravitational waves Frequency-Hough transforms Generalized search frameworks

Nathir Rawashdehمشاهده پروفایل

استادیار

• Image Processing
• Autonomous Vehicles Perception
• Mobile Robot Applications
• +۷ مورد دیگر

Nathir Rawashdeh is an Assistant Professor in the Department of Applied Computing at Michigan Technological University , with an affiliated appointment in Electrical and Computer Engineering . He is a Senior Member of the IEEE and a member of the Institute of Computing and Cybersystems (ICC) and Great Lakes Research Center . Education: Ph.D., Electrical Engineering, University of Kentucky, 2007 MS, Electrical and Computer Engineering, University of Massachusetts, Amherst, 2003 BS, Electrical Engineering, University of Kentucky, 2000 Dr. Rawashdeh's research focuses on unmanned vehicle perception , image analysis , control systems , and mechatronics , with applications in autonomous driving, winter weather adaptation, and industrial automation. His work includes sensor fusion, deep learning, and AI-enhanced manufacturing solutions. Recent publications highlight advancements in winter weather autonomous driving , UV disinfection robotics , and AI-driven industrial inspection systems . His research spans mechatronics curriculum development, industry 4.0 integration, and cross-cultural educational initiatives. Scientific Awards: Senior Member of the IEEE Dr. Rawashdeh has secured over $2 million in funding from organizations including the NSF , Ford Motor Co. , NIST , and the European Commission . His grants support projects like GPU clusters for research, winter weather autonomous driving standards, and UV sterilization robotics. He leads the Mobile Robotics Lab at Michigan Tech, focusing on collaboration and innovation in autonomous systems and mechatronics research.

Yonggang Liuمشاهده پروفایل

دانشیار

• Ocean Circulation
• Coastal Ocean Observing
• Numerical Modeling
• +۷ مورد دیگر

Dr. Yonggang Liu is an Associate Professor at the University of South Florida College of Marine Science , specializing in Physical Oceanography . He leads the Ocean Circulation Lab and focuses on coastal ocean dynamics, air-sea interactions, and environmental applications. Education: PhD in Physical Oceanography from University of South Florida, Postdoctoral work at University of Washington Email: yliu@usf.edu His research interests include: Coastal ocean circulation and Loop Current interactions Real-time monitoring systems (COMPS, TBON, HF Radar) Numerical modeling (WFCOM, TBCOM, EFCOM) Harmful algal bloom prediction (Karenia brevis) Storm surge and Sargassum tracking Pollutant/oil spill transport modeling Recent publication trends show expertise in: Coastal ocean model validation Eddy-resolving numerical simulations Machine learning applications (Self-Organizing Maps) Marine environmental hazard response Multi-decadal circulation analysis Hydrodynamic-biogeochemical coupling He contributes to scientific leadership as: Editor for Artificial Intelligence for the Earth Systems Guest Editor for Ocean Science Science Committee member at SECOORA

Katherine Newhallمشاهده پروفایل

استاد

• Applied Mathematics
• Stochastic Differential Equations
• Dynamical Systems
• +۵ مورد دیگر

Katherine Newhall is a Professor in the Department of Mathematics at the University of North Carolina at Chapel Hill, where she maintains an active research program in stochastic modeling and dynamical systems. Her office is located in Phillips Hall 308, and she can be reached at knewhall@unc.edu. She serves as a member at large of the GSNP (Group on Statistical and Nonlinear Physics) board, a position she assumed in April 2024. Dr. Newhall earned her educational credentials from Rensselaer Polytechnic Institute, including a B.S. in Applied Physics and Applied Mathematics (2004), an M.S. in Mechanical Engineering (2006) with thesis entitled 'Turbulent Boundary Layers: A look at Skin Friction, Pressure Gradient and Surface Roughness,' and a Ph.D. in Mathematics (2011) with dissertation 'Synchrony in Stochastically-Driven Neuronal Network Models.' Following her doctoral work, she completed postdoctoral research at New York University's Courant Institute of Mathematical Sciences from 2011 to 2014. Her research focuses on developing new tools for analyzing large and infinite dimensional stochastic systems to understand large-scale and long-time dynamics of physical and biological systems. Rather than relying on traditional Fokker-Planck formulations that become intractable with increasing complexity, her work builds on concepts of statistical mechanics to create macroscopic descriptions from individual unit statistics. This approach extends the usefulness of energy landscapes even in non-gradient systems, enabling explanations of experimentally observable phenomena while exposing fundamental mechanisms responsible for system behavior. Her work spans applications from granular materials and chromosome dynamics to biological systems and metamaterials. Dr. Newhall's publications demonstrate consistent advancement in stochastic modeling techniques, with recent work (2023-2025) focusing on hyperuniformity in biological structures, energy landscape sampling methods, and the role of weak transient interactions in biological systems. Her research shows a clear trajectory from fundamental mathematical developments toward increasingly sophisticated biological applications. Outstanding Referee of the Physical Review journals (2019) NSF grant DMS-1816394 DMREF grant ($2M NSF Grant to Revolutionize Materials, 2023) Member at large of the GSNP board (2024) Dr. Newhall has successfully mentored numerous PhD students to completion, including Anna Coletti (2024), Daftari (2023), Moakler (2021), Ben Walker (2021), and Yuan Gao (2019). Her research is consistently supported by competitive grants, most notably the $2M NSF DMREF grant awarded in 2023. She maintains active collaborations across disciplines, particularly in applying mathematical techniques to biological problems such as chromatin organization and organ transplantation risk assessment. Her laboratory work focuses on developing computational methods for analyzing complex stochastic systems, with particular emphasis on the hydra string method for exploring high-dimensional potential energy surfaces. The research group maintains strong connections with both theoretical and experimental collaborators working on granular materials, chromosome dynamics, and biological systems.

Wendy D. Rothمشاهده پروفایل

استاد

• Race and Ethnicity
• Immigration
• Multiracial Populations
• +۶ مورد دیگر

Wendy D. Roth is a Professor of Sociology and former Chair of the Graduate Group in Sociology (2021-2024) at the University of Pennsylvania, where she joined the department in 2019 after teaching at the University of British Columbia. Her work focuses on the sociology of race, ethnicity, and immigration, with particular expertise in multiracial populations, intersections of race and genomics, and transnational processes. Roth's research explores how social processes challenge racial and ethnic boundaries and transform classification systems. Her work examines immigration, interracial marriage, and genetic ancestry testing as key mechanisms that reshape racial concepts both for individuals and societies. She has conducted groundbreaking research on how genetic ancestry testing influences racial identity formation, conceptualizations of race, and racial interactions through a combination of qualitative interviews and randomized controlled trials. Roth's scholarly output reveals a consistent focus on the multiple dimensions of race and how they diverge in contemporary society. Her publications demonstrate how racial self-identification, observed race, known ancestry, genetic ancestry, and phenotype increasingly diverge, challenging traditional survey methodologies and understandings of racial inequality. Her recent work has particularly emphasized the social impact of genetic ancestry testing, revealing complex patterns where test-takers selectively interpret results based on identity aspirations and social appraisals rather than accepting genetic determinism. Scientific Awards: Killam Faculty Research Fellowship 2016 Early Investigator Award from the Canadian Sociological Association 2011 Oliver Cromwell Cox Article Award from the American Sociological Association 2007 American Sociological Association Outstanding Dissertation Award Isis Duarte Prize from the Haiti-Dominican Republic Section of the Latin American Studies Association Eduardo Bonilla-Silva Outstanding Book Award Honourable Mention Roth has received significant research funding from organizations including the National Human Genome Research Institute, the Social Science Research and Humanities Council of Canada, and the Canada Foundation for Innovation Leadership Opportunities Fund. Her work on genetic ancestry testing has been particularly well-funded, supporting both qualitative interview studies with diverse test-takers and innovative randomized controlled trials examining causal impacts. Her research has important implications for understanding how genomic advances are reshaping social conceptions of race in everyday life.

• Network research
• Quantitative research methods
• Videographic methods
• +۳ مورد دیگر

Markus Jenki is a Researcher at the Institute of Sociology, University of Freiburg, Germany, affiliated with Professor Stefan Kaufmann's team. His work centers on organizational structures within emergency response systems, employing quantitative and videographic methodologies to analyze crisis management dynamics. Primary research areas include network analysis in disaster scenarios, methodological innovations for organizational sociology, and the operational logic of rescue organizations under uncertainty. His investigations reveal how emergency entities structure workflows during chaotic events, emphasizing practical applications of sociological theory in civil protection frameworks. Publication analysis shows consistent focus on methodological rigor in field research, particularly using observational techniques to document technology-organization interactions during disaster exercises. This work bridges theoretical sociology with real-world emergency management practices. Jenki actively disseminates findings through international conferences including the Society for Social Studies of Science (4S) and specialized organizational sociology forums, while leading workshops on questionnaire design and discourse analysis for empirical research.

Feng Chenمشاهده پروفایل

دانشیار بالینی

• Operations Management
• Process Analysis
• Supply Chain Management
• +۳ مورد دیگر

Feng Chen is a Clinical Associate Professor at the Marshall School of Business, University of Southern California, affiliated with the Department of Data Sciences and Operations. She teaches courses in operations management and data analytics for decision-making, with a Ph.D. in Business Administration from USC. Education: Ph.D. in Business Administration from University of Southern California Her research focuses on process analysis , supply chain analytics , and behavioral operations decision-making . She has designed and instructed advanced courses on business analytics, statistics, and operations optimization. Recent publications demonstrate expertise in atmospheric data assimilation , satellite meteorology , and weather system modeling . Key methodologies include multi-sensor integration, cloud-dependent observation-error modeling, and numerical prediction systems for tropical weather phenomena. Contact: fchen@marshall.usc.edu | Phone: 213-740-6319

Dane Rowlandsمشاهده پروفایل

استاد

• International Monetary Fund
• World Bank and other Multilateral Financial Institutions
• Sovereign Debt
• +۷ مورد دیگر

Dane Rowlands is a Professor of International Affairs at the Norman Paterson School of International Affairs, Carleton University, where he has taught since 1994. His research spans IMF programs , sovereign debt , development assistance , conflict economics , and international migration . He teaches courses on international finance and conflict economics . International Monetary Fund World Bank and Multilateral Financial Institutions Development Assistance Conflict and Development Migration Policy His scholarly output includes empirical analyses of IMF program effectiveness, studies on disaster philanthropy, and methodological innovations in conflict mediation. Recent work explores remote sensing applications for infrastructure resilience and human rights interdependencies.

Sotiria Fotopoulouمشاهده پروفایل

مدرس

• Astrophysics
• Active Galactic Nuclei
• Galaxy Clusters
• +۴ مورد دیگر

Sotiria Fotopoulou is a Lecturer in the School of Physics at the University of Bristol. Her research focuses on astrophysics, particularly in active galactic nuclei (AGN), quasars, galaxy clusters, and cosmic web structure. She contributes to the Euclid mission's scientific objectives through studies of photometric redshifts, galaxy evolution, and environmental effects. Current Project: Principal Investigator for 'Co-evolution or co-existence? Growth of supermassive black holes in next generation surveys' (2023-2024) Research Themes: Quasar census, slitless infrared spectroscopy for high-redshift objects, cosmic web reconstruction, intracluster light analysis, and gravitational lensing detection. Her work integrates Euclid data with machine learning techniques for galaxy morphology and photometric studies. Award: Recipient of Undergraduate Bursary Grant (2020)