جست‌وجوی استاد و پژوهشگر

Baishakhi Mazumderمشاهده پروفایل

دانشیار

• Materials Science
• Semiconductor Technology
• Nanotechnology
• +۳ مورد دیگر

Baishakhi Mazumder is an Associate Professor in the Department of Materials Design and Innovation at the University at Buffalo. She specializes in materials science with a focus on advanced characterization techniques like atom probe tomography (APT) and machine learning-driven materials design. Her work spans semiconductor technologies, thin films, and quantum materials. Education: PhD in Physics and Materials Science, University of Rouen, France (2010) MS in Physics, University of Pune, India (2005) BS in Physics, University of Calcutta, India (2002) Research Interests: Dr. Mazumder explores atomic-scale dynamics in ultrawide bandgap semiconductors, machine learning for materials optimization, and structural-chemical evolution in thin films. Her group studies novel materials for energy applications, quantum devices, and advanced electronics. Techniques include APT, chemical vapor deposition (CVD), and computational modeling. Articles Trends: Recent work emphasizes data-driven approaches to superconductors, quantum materials, and thin film growth. Key themes include optimizing coercive fields in AlScN, enhancing NbN superconductivity, and unraveling phase transformations in AlGaO₃ films. Awards/Grants: No specific honors listed, but her CAREER award highlights sustained research impact. Labs/Teams: The Mazumder Group focuses on interdisciplinary materials innovation, combining experimental and computational methods.

Paul R. Andersonمشاهده پروفایل

استاد

• Theoretical Physics
• Quantum Field Theory
• General Relativity
• +۳ مورد دیگر

Paul Anderson is a Professor of Physics at Wake Forest University and holds the MacDonough Family Faculty Fellow title. He works in the Physics Department, focusing on research at the intersection of theoretical physics, cosmology, and quantum field theory. His research explores Quantum effects in curved spacetime Black hole physics and Hawking radiation Acoustic black hole analogs in Bose-Einstein condensates Preinflationary and post-inflationary cosmology Stress-energy tensor dynamics during black hole formation Semiclassical approximation validity in extreme conditions Recent publications analyze Correlation patterns in analog black holes Decay mechanisms of de Sitter vacuum Black hole remnants post-inflation Quantum particle production in acoustic spacetimes Breakdown of semiclassical gravity Infrared divergences in low-dimensional systems spanning applications from cosmological singularities to laboratory-scale analogs. He has secured multiple NSF grants (PHY-2309186, PHY-1912584, PHY-1505875, PHY-1308325, PHY-0856050) for computational modeling and theoretical investigations, with a focus on numerical relativity and quantum field simulations.

Andrew Shepherdمشاهده پروفایل

استاد

• Cryosphere Studies
• Satellite Remote Sensing
• Climate Change
• +۳ مورد دیگر

Andrew Shepherd is the Head of the Department of Geography and Environment at Northumbria University, and Director of the NERC Centre for Polar Observation and Modelling. He is a Principal Scientific Advisor to the European Space Agency's CryoSat mission and co-leads the ESA-NASA Ice Sheet Mass Balance Inter-comparison Exercise. His research focuses on measuring changes in Antarctic and Greenland ice sheets, their interaction with the climate system, and contributions to sea level rise. He also works on satellite sensor calibration/validation, collaborating with space agencies, glaciologists, and government agencies. Shepherd holds a PhD in Physics from the University of Leicester. He has held academic positions at UCL, Cambridge, Edinburgh, and Leeds. His honors include the Philip Leverhulme Prize (2008), Royal Society Wolfson Award (2014), and the International Glaciology Society Richardson Medal (2021). He supervises PhD students researching topics like Arctic sea ice variability, proglacial lakes, and climate change adaptation. His work is frequently featured in media, including TV documentaries like Climate Change: The Facts .

• Gender and workplace inequality
• Career transitions
• Economic sociology
• +۲ مورد دیگر

Julia L. Melin is an Assistant Professor of Organizational Behavior at the Tuck School of Business, Dartmouth College. Her research focuses on gender inequality in organizational practices, career transitions, and the design of equitable systems using mixed-methods, experiments, and large-scale interventions. She holds a PhD from Stanford University (2023), an MA from Stanford (2019), and a BA from Swarthmore College (2013). Education: PhD in Organizational Behavior, Stanford University (2023) MA in Sociology, Stanford University (2019) BA in Sociology, Swarthmore College (2013) Her work addresses how cultural beliefs about gender shape hiring, talent assessment, and organizational policies, with a focus on reducing gender disparities. She has conducted research with Fortune 500 companies, tech startups, and the U.S. Military via RAND Corporation collaborations. Her findings have been published in top journals like Proceedings of the National Academy of Sciences and Current Opinion in Psychology . Dr. Melin’s honors include awards from the American Sociological Association and NSF-funded TESS. Her research bridges academia and industry, emphasizing practical interventions to improve equity in labor markets and workplace structures.

Martin Prominskiمشاهده پروفایل

استاد

• Urban Landscape Development
• Climate Resilient Design
• Biodiversity in Urban Spaces
• +۴ مورد دیگر

Prof. Dr. Martin Prominski is a W3 Professor of Urban Landscape Development at Leibniz University Hannover, leading the Department of Designing Urban Landscapes within the Institute for Open Space Development. He has served as Dean and Vice Dean of the Faculty of Architecture and Landscape, demonstrating significant academic leadership. His research focuses on climate-resilient urban design, biodiversity enhancement, and the Anthropocene's impact on landscape architecture. Prominski actively participates in transdisciplinary projects like the Urban Climate Future Lab (UCFL) and the Good Coast Lower Saxony initiative, emphasizing sustainability and ecological integration. Education highlights include a Dipl.-Ing. from TU Berlin (1996), a Master in Landscape Architecture from Harvard University (1998), and a doctoral degree from TU Berlin (2003). His academic career includes roles as Junior Professor (2003–2008) and Head of Student Advisory Services. Prominski is a key figure in professional organizations such as the German Academy for Urban and Regional Planning (DASL) and the Board of the International Building Exhibition (IBA) Parkstad. Research interests span design research methodologies, locality patterns in urban water systems, and adaptive infrastructure. Notable projects include Sino-German collaborations on urbanization and the EU-funded LANDLABS initiative. He lectures globally, addressing topics like climate adaptation and the role of design in sustainability. His work bridges theory and practice through studios like Studio Urban Landscapes, emphasizing transdisciplinary approaches to urban challenges. Prominski's contributions include over 50 publications and editorial roles in journals like JoLA and Urban Challenge, solidifying his influence in landscape architecture discourse.

• Architecture
• Urban Design
• Public Space Interventions
• +۵ مورد دیگر

Isabel Barbas (b.1974) is an Assistant Professor in the Department of Architecture at Universidade Lusófona (ULHT) 's Faculty of Architecture and Urbanism Technology (ECATI) since 2010. She is currently a PhD candidate in Architecture at ULHT with an FCT scholarship (SFRH/BD/148141/2019), expected to complete in 2025. Her work bridges architecture, art, and design through experimental public space interventions. Architecture degree from FAUTL (Technical University of Lisbon) with Erasmus year at La Sapienza, Rome Masters in Drawing from FBAUL PhD candidate at ULHT (completion 2025) Research Focus : Barbas investigates how architecture shapes participatory urban environments through tactical urbanism , artistic installations , and climate-responsive design . Her work explores urban ambiences , critical spatial practices , and the poetics of materiality , particularly in the context of rising sea levels and ephemeral markets. Current projects include the COST Action CA23145 on European urban ambiences (2024-2027) and the SOSClimateWaterfront Horizon 20/20 project (2019) focusing on public space. Publications & Projects : Her recent work appears in Urbanistica Dossier on public space socialization and the Malagueira International Congress discussing poetic urban fragments. Key projects include the award-winning Jardim das Gaivotas urban furniture (Lisbon, 2017), Nine Swings in Porto (2013-2020), and the Slim Moon lighting installation (2013). She maintains an active practice through her studio MAGstudio (founded 2009) and previously in Madrid (2004-2009). Scientific Awards 1st Prize, Enjoy the Tagus competition 1st Prize, HM RIBA`08 Finalist, Lexmarkex European Art Prize Outros Mercadus`08 II Award Teaching & Collaborations : She has collaborated with institutions like CCB and Museu Berardo's educational services (2004-2019) and contributed to architectural media as a member of the Jornal dos Arquitetos editorial team (2012-2014). Her studio projects combine art, architecture, and urban design with a focus on participatory processes.

• Geotechnical Engineering
• Soil Mechanics
• Marine Sediments
• +۵ مورد دیگر

Dr. Madhu Murthy is a Lecturer in the Department of Civil, Maritime and Environmental Engineering within the Faculty of Engineering and Physical Sciences at the University of Southampton. His research focuses on advanced geotechnical investigations using cutting-edge imaging technologies and experimental methods to address complex engineering challenges in transportation infrastructure and marine environments. Research Interests Dr. Murthy's research spans multiple domains within geotechnical engineering, with particular expertise in: Advanced characterization of soil and granular materials using X-ray micro-computed tomography Mechanical behavior of railway ballast and development of sustainable reuse strategies Marine sediment mechanics and methane hydrate formation processes Unsaturated soil mechanics and water retention characteristics Gas migration phenomena in porous media His work integrates experimental techniques with computational analysis to provide fundamental insights into material behavior under various loading and environmental conditions. Dr. Murthy has established collaborations with international research teams and industry partners to address pressing infrastructure and energy challenges. Publication Trends Dr. Murthy's recent publications demonstrate a strong focus on applying advanced imaging techniques, particularly X-ray computed tomography, to solve complex geotechnical problems. His research spans from fundamental soil mechanics investigations to practical railway engineering applications. A notable trend is the integration of synchrotron imaging with geomechanical testing to visualize and quantify material behavior at the micro-scale. His work on methane hydrates bridges geotechnical engineering with energy resource exploration, while his railway ballast research addresses sustainability challenges in transportation infrastructure. Academic Supervision Dr. Murthy currently supervises PhD students working on cutting-edge geotechnical research topics: Rashid Salum Abeid: Investigating railway ballast behavior under various loading conditions Komeil Valipourian: Researching advanced geotechnical characterization methods His supervisory approach emphasizes both theoretical understanding and practical application, preparing students for successful careers in academia and industry.

Joseph Pierceمشاهده پروفایل

مدرس ارشد

• Urban Geography
• Place-Making
• Housing and Property
• +۴ مورد دیگر

Dr. Joseph Pierce is a Senior Lecturer in Human Geography at the University of Aberdeen's School of Geosciences, Department of Geography and Environment. His work focuses on urban sustainability, housing equity, and justice, with a particular emphasis on community land trusts (CLTs) and their role in challenging urban property norms. He previously held faculty positions at the University of Oklahoma and Florida State University. His research explores the intersection of place-making, racial geographies, and socio-political-economic alterity. Key themes include spatial pluralism, epistemic justice, and transformative urban models. Articles highlight collaborations with scholars like Melissa Pearsall, David G. Martin, and Mary Lawhon, spanning topics such as limited equity homeownership, urban governance shims, and critical metaphors in urban studies. Dr. Pierce co-directs the University of Aberdeen's MA in Liberal Arts program and contributes to the Just Transitions Lab. He serves on multiple university committees, including the School of Geosciences Executive Committee and REF Committee.

Massimiliano Pontilمشاهده پروفایل

استاد

• Machine Learning
• Dynamical Systems
• Optimal Transport
• +۵ مورد دیگر

Massimiliano Pontil is a Professor at University College London's Department of Computer Science within the Faculty of Mathematical & Physical Sciences, with additional affiliation at the Italian Institute of Technology in Genoa. He leads cutting-edge research at the intersection of machine learning and dynamical systems theory. His research focuses on developing theoretical frameworks for learning transfer operators of stochastic dynamical systems using kernel methods. Pontil's work provides rigorous spectral learning bounds and addresses representation learning challenges in modeling time-evolving phenomena. His research spans both theoretical foundations and practical applications in data-driven science and engineering. Pontil's recent publications reveal a strong emphasis on Koopman operator theory, with particular attention to spectral analysis, error bounds, and efficient algorithms for large-scale dynamical systems. His work connects kernel methods with dynamical systems theory to create mathematically grounded approaches for forecasting and understanding temporal phenomena. His scientific contributions include multiple publications in top-tier venues including NeurIPS and ICLR, with recent work on invariant representations, long-term forecasting, and randomized algorithms for operator regression. Pontil collaborates extensively with researchers including Vladimir Kostic, Karim Lounici, and Pietro Novelli, leading a productive research group in this specialized area of machine learning theory.

Benjamin Blackwellمشاهده پروفایل

مدرس

• Architecture
• School Buildings
• Technoscientific Infrastructures
• +۴ مورد دیگر

Benjamin Blackwell is a Lecturer in Architecture at the University of Manchester. He completed his BA (hons) and MArch at Manchester School of Architecture, followed by professional practice, and earned his PhD in Architecture from the University of Manchester in 2022. Education: BA (hons) Architecture, Manchester School of Architecture MArch Architecture, Manchester School of Architecture PhD Architecture, University of Manchester (2022) His research examines knowledge infrastructures , focusing on scientific/technological research buildings and secondary school design. Work intersects with STS, exploring how architecture shapes social practices and contributes to sustainable development goals. Recent publications (2022-2025) show a dual focus: school architecture (as performative machines) and technoscientific infrastructures (for knowledge creation). His 2025 book details Manchester's campus history, while articles analyze spatial control in schools and research facility design. He led the funded project \"Mapping spatial practices in smart schools\" (2021-2022) using ethnographic methods. Active in conferences (BERA, AAG, 4s) and the Manchester Architectural Research Group (MARG).

Joshua Speagleمشاهده پروفایل

استادیار

• Astrostatistics
• Data Science
• Machine Learning
• +۷ مورد دیگر

Joshua Speagle is an Assistant Professor jointly appointed in the Department of Statistical Sciences and the David A. Dunlap Department of Astronomy & Astrophysics at the University of Toronto. He is also an Associate Member of the Dunlap Institute for Astronomy & Astrophysics and a Member of the Data Sciences Institute. His research lies at the intersection of statistics, astronomy, and computer science, focusing on astrostatistics and data-intensive astrophysics. His research interests include astrostatistics, data science, machine learning, statistical inference, and Bayesian methods. He develops novel statistical learning techniques to extract insights from large, complex datasets, particularly from astronomical surveys. His work emphasizes interpretability, robust inference, and computational efficiency, with applications to galaxy formation, stellar photometry, and 3D dust mapping. The trends in his recent publications reflect a strong focus on interdisciplinary methodologies, particularly in Bayesian inference, nested sampling, and machine learning applied to astrophysical problems. His work consistently bridges theoretical statistics with practical applications in astronomy, emphasizing open-source software and reproducible research. Banting Postdoctoral Fellowship Dunlap Fellowship Joshua Speagle is deeply committed to mentorship and collaboration. He co-leads the Astrostatistics Research Team (ART) with Gwen Eadie, mentoring students and postdocs across disciplines. He is involved in graduate and undergraduate research programs, including the Astronomy & Astrophysics Summer Undergraduate Research Program (SURP). He teaches courses in statistics and astronomy and serves on committees within the University of Toronto and professional societies such as the AAS, ASA-AIG, and SSC-DSA. He co-leads the interdisciplinary Astrostatistics Research Team (ART), which fosters a collaborative, inclusive environment focused on cutting-edge research at the intersection of statistics and AI. The team emphasizes open and accessible science, releasing open-source tools like dynesty and brutus , and mentoring the next generation of data scientists.

Xubo Yueمشاهده پروفایل

استادیار

• Federated Data Analytics
• Bayesian Optimization
• Continuous Optimization
• +۵ مورد دیگر

Xubo Yue is an Assistant Professor in the Department of Mechanical and Industrial Engineering at Northeastern University. His research focuses on federated data analytics, Bayesian optimization, continuous optimization, Gaussian processes, and deep learning. He holds a PhD in Industrial & Operations Engineering from the University of Michigan, Ann Arbor (2023). His work bridges theoretical advancements with practical applications in advanced manufacturing, predictive maintenance, and sustainable materials discovery. Key affiliations include the Institute of Industrial and Systems Engineers (IISE), INFORMS, and the American Statistical Association (ASA). Recent research emphasizes scalable federated learning frameworks for distributed systems, causal inference in sensor networks, and sharpness-aware optimization techniques to enhance generalization. His methodologies are applied to interdisciplinary domains such as materials science, IoT systems, and renewable energy simulations. Research trends reveal a focus on: Federated learning architectures for privacy-preserving analytics Bayesian optimization for high-dimensional design spaces Integration of causal reasoning with machine learning systems Autonomous experimentation for accelerated materials discovery No scientific awards are explicitly listed in the provided information. His academic advising and grant activities are not detailed in the current data.

Gonzalo Navarroمشاهده پروفایل

استاد

• Algorithms
• Data Structures
• Compressed Data Structures
• +۳ مورد دیگر

Gonzalo Navarro is a Full Professor at the Department of Computer Science (DCC) , within the Faculty of Physical and Mathematical Sciences at the University of Chile . His academic roles include coordinating the PhD Program , serving as Research Coordinator , and being a member of the Department Council . Co-created the Pizza&Chili site for compressed text indexes Co-authored two books: Compact Data Structures and Flexible Pattern Matching in Strings Research Interests: He focuses on algorithm design , compressed data structures , text/graph databases , and information retrieval . His work bridges theoretical and practical efficiency in problems like approximate pattern matching, regular expression searching, and dynamic data structure optimization. Recent Publications Trends: His 2025-2024 works emphasize space-time optimal data structures , graph database joins , trajectory compression , and regular expression indexing , often combining algorithmic theory with real-world implementation benchmarks. Scientific Awards: 7 Best Paper Awards in conferences 4 Google Research Awards Highest Cited Paper Award (Elsevier) Scopus Chile Award ACM Fellow (2022) Advising: He has advised 8 postdocs, 22 PhD students, 17 MSc students, and 29 undergraduate theses. His Algorithmic Wednesdays Group fosters collaborative research in algorithms. Labs & Projects: He participates in the Milennium Institute for Foundational Research on Data (IMFD) and the Basal Center for Biotechnology and Bioengineering (CeBiB) , advancing compressed data structures for biological and web-scale applications.

• Coaching Education
• Youth Athlete Development
• Sports Pedagogy
• +۳ مورد دیگر

Koray KILIÇ is an Assistant Professor in the Department of Coach Education at Kırşehir Ahi Evran University's Faculty of Sports Sciences. He holds a PhD in Physical Education and Sports from Middle East Technical University (METU), where he also completed his master's and bachelor's degrees. His academic career spans over 15 years, including postdoctoral research at the University of Ottawa's School of Human Kinetics (2021-2022). PhD: Physical Education and Sports (METU, 2019) MA: Physical Education and Sports (METU, 2013) BA: Physical Education and Sports (Ankara University, 2009) Research focuses on Physical Education and Sports Pedagogy , with particular emphasis on coach professional development, teaching styles, and holistic athlete development. His work explores needs-focused learning communities and technology-supported training programs for coaches. Articles analyze teaching methods in youth sports, athlete-initiated learning, and para sport coach education, demonstrating interdisciplinary engagement with sports psychology, pedagogy, and inclusive training frameworks. Design Thinking in Para Sport Coaching Social Learning Spaces for Coach Development Teaching Style Evaluation Tools Relative Age Effects in Team Sports Scientific recognition includes: 2024: Outstanding Journal Publication of the Year (The Spectrum Institute for Teaching and Learning) 2020: ODTÜ Doctoral Thesis Award (2018-2019) Advising highlights: Gamze Saatçi (2025): Social Learning Spaces in Nursing Education Rabia Öztürk Kızılkaya (2024): Coach Development for Para Sport Current projects include TÜBA/TÜBİTAK-supported initiatives on long-term athlete development and technology-enhanced coach training in competitive youth sports (2024). His work has been presented at international venues like CRIC International Coaching Conference (UK, 2013) and SCRI Conference (Canada, 2023).

Christopher Brunsdonمشاهده پروفایل

استاد

• Spatial Statistics
• Data Science
• Spatial Analysis
• +۳ مورد دیگر

Christopher Brunsdon is Professor of Geocomputation and Director of the National Centre for Geocomputation at Maynooth University's Faculty of Social Sciences. Previously, he held positions at the University of Liverpool, Leicester, Glamorgan, and Newcastle. His academic credentials include a BSc in Mathematics from Durham University and an MSc in Medical Statistics and PhD in Geography from Newcastle University. Research interests focus on spatial statistics, data science, and spatial analysis, with emphasis on open-source software (especially R) and reproducible methods. Applied domains include crime pattern analysis, health geography, and environmental applications. Current projects include 'Mapping Lineages: Quantifying the Evolution of Maps of the British Isles' and 'Building city dashboards'. Brunsdon's recent publications (2018-2020) demonstrate strong methodological contributions to geocomputation, spatial regression, and geodemographics. Trends include reproducibility in spatial science, multiscale modeling, and applications in health geography and urban analytics. He leads the National Centre for Geocomputation, fostering innovation in spatial data science. Grant leadership includes an ERC Advanced Grant (RIGAR) and industry collaborations like consultancy for SiteZeus.