جستجوی استاد راهنمای دانشگاهی

Thomas Brinkhoffمشاهده پروفایل

استاد

• Geoinformatics
• Geodatabase Systems
• Spatio-temporal Data Processing
• +۵ مورد دیگر

Prof. Dr. Thomas Brinkhoff is Chair of the Institute Board and Chair of Geoinformatics at Oldenburg University of Applied Sciences. He leads the Institute for Applied Photogrammetry and Geoinformatics (IAPG) and contributes to institutions like the Association for the Promotion of Geoinformatics in Northern Germany (GiN e.V.) and the Oldenburg Research and Development Institute for Computer Science (OFFIS e.V.). Education: Diploma in Computer Science (Informatik), Universität Bremen (1990) Doctorate in Computer Science (Dr. rer. nat.), Ludwig Maximilian University of Munich (1994) Brinkhoff's research spans geodatabase systems, spatiotemporal data processing, geosensor analytics, and location-based services. His work addresses Volunteered Geographic Information (VGI), web-based geospatial visualization, and mobile data integration, with applications in traffic management and forensic science. Recent projects include ProSaDi (Digital Provenance and Collection Research) and contributions to the Laboratory for optical 3D metrology . He has served on program committees for ACM SIGSPATIAL (2002-2019), AGILE conferences (2010-2025), and editorial boards of journals like GeoInformatica and TGIS. Notable Lectures: 2024: Forensic applications of tachograph data 2023: Geoinformatics in homicide investigations 2022: Spatiotemporal analysis for sustainability projects 2015: Open geodata standards at FOSSGIS 2014: Mobile sensor data processing

Fahui Wangمشاهده پروفایل

استاد

• Spatially-Integrated Social Sciences
• Geographic Information Systems (GIS)
• Public Policy and Planning
• +۳ مورد دیگر

Fahui Wang is the Cyril & Tutta Vetter Alumni Professor in the Department of Geography & Anthropology at Louisiana State University (LSU). He holds a B.S. in Geography from Peking University (1988), an M.A. in Economics (1993), and a Ph.D. in City & Regional Planning (1995), both from The Ohio State University. His research focuses on spatially-integrated social sciences, public policy, and GIS applications in healthcare, urban planning, and public safety. He has authored/co-authored multiple influential books and peer-reviewed articles, including works on computational methods in GIS and healthcare accessibility analysis. Professor Wang’s work has been supported by grants from the National Institutes of Health, National Science Foundation, and U.S. Departments of Housing and Urban Development and Justice. His accolades include LSU’s Distinguished Research Master Award (2023) and CPGIS Distinguished Scholar (2023). He teaches advanced courses in GIS, urban geography, and quantitative methods, and leads research initiatives in the LSU Geoscience department. His lab focuses on geospatial technologies for addressing societal challenges in healthcare access, urban planning, and crime analysis.

Scott Sissonمشاهده پروفایل

استاد

• Computational Statistics
• Bayesian Statistics
• Big Data
• +۴ مورد دیگر

Professor Scott Sisson is Director of the UNSW Data Science Hub (uDASH) and Professor of Statistics and Data Science at the University of New South Wales, School of Mathematics and Statistics. His research focuses on computational statistics, particularly solving 'intractable' statistical problems through Bayesian methods, big data techniques, simulation algorithms, and extreme value theory with environmental applications. Education includes a PhD in Statistics from Bristol University (2002), MSc in Environmental Statistics from Lancaster University (1997), and BSc in Mathematics and Statistics from Lancaster University (1996). Research interests span: Bayesian statistics and uncertainty quantification Big data analytics and scalable algorithms Machine learning integration with statistical methods Extreme value modeling for climate/environment Computational techniques for intractable problems Recent publications (2022-2025) demonstrate strong emphasis on Bayesian computation, spatiotemporal modeling, and interdisciplinary applications in materials science, oncology, quantum computing, transportation policy, and ecology. Methodological innovations include likelihood-free inference, modular Bayesian analyses, and symbolic data modeling. Awards and honors: 2020 Service Award (Statistical Society of Australia) 2017 ARC Future Fellowship 2015 G. N. Alexander Medal (Engineers Australia) 2011 Moran Medal (Australian Academy of Science) 2010 J.G. Russell Award (Australian Academy of Science) 2010 Queen Elizabeth II Research Fellowship As Director of uDASH, he leads data science initiatives across UNSW. He maintains sustained ARC funding and supervises students in computational statistics, Bayesian methods, extreme value theory, and machine learning. Professional service includes editorial roles for Statistics and Computing and past presidency of Statistical Society of Australia.

Laura Vaughanمشاهده پروفایل

استاد

• Urban Form
• Space Syntax
• Urban Geography
• +۵ مورد دیگر

Laura Vaughan is Professor of Urban Form and Society and Director of the Space Syntax Lab at The Bartlett School of Architecture, University College London. Her research examines the relationship between urban form and society using space syntax methodologies, addressing critical urban challenges including spatial inequalities, health disparities, poverty, housing, and socioeconomic vitality. She maintains active policy engagement through memberships in the West Yorkshire Scientific Advisory Group and as Chair of the International Space Syntax Executive Committee. Education includes: Doctor of Philosophy, University of London (1995-1999) Master of Science, University of London (1992-1994) Bachelor of Design, Bezalel Academy of Arts and Design (1985-1989) Her research integrates space syntax methodology with urban geography and architecture to analyze how spatial configurations influence social patterns. Key interests include the historical evolution of urban segregation mechanisms, morphological predictors of community vitality, and geospatial determinants of public health outcomes. She maintains cross-disciplinary collaborations spanning public health, history, anthropology, and urban planning. Publication trends show consistent focus on urban morphology's societal impacts, with recent work emphasizing longitudinal health studies, historical cartography, and high street resilience. Methodological innovations include developing individual-level environmental exposure metrics and integrating geospatial analysis with cohort studies. Research consistently demonstrates how spatial configurations mediate social processes across temporal scales. Scientific recognition includes: Fellow of the Royal Geographical Society (elected 2005) Fellow of the Royal Historical Society (elected 2015) As Director of the Space Syntax Lab, she leads research on socio-spatial systems and advises PhD students. She teaches the 'Urban Form and Society' module in the MSc/MRes Space Syntax program, exploring urban design's relationship with crime, health, and inequality. Her pedagogical approach emphasizes integrating research with design practice and historical analysis.

Zaire Dinzey-Floresمشاهده پروفایل

دانشیار

• Urban Sociology
• Social Inequality
• Race and Ethnicity
• +۵ مورد دیگر

Zaire Dinzey-Flores is an Associate Professor in the Department of Sociology at Rutgers University. Her work examines how urban spaces shape community life and inequality through interdisciplinary frameworks in sociology, urban planning, and public policy, often comparing Caribbean and U.S. contexts. Education: PhD, University of Michigan (2005) Her research focuses on housing design, racial and class segregation, and the role of the built environment in perpetuating inequality. She explores topics such as real estate practices in Brooklyn, transatlantic housing policy, and mobile data analysis of racial segregation. Her publications span urban sociology, criminology, and postcolonial studies, highlighting intersections of race, housing, and policy. Recent work includes a 2023 study on Latina/o/x criminologies and a 2021 photographic exploration of American inequality. Scientific Awards: 2014 Robert E. Park Award (American Sociological Association) 2014 Honorable Mention, Frank Bonilla Book Award (Puerto Rican Studies Association) She serves as Vice Dean of Diversity, Equity, and Inclusion, actively mentoring students and collaborating on interdisciplinary projects related to urban inequality.

Shih-Fu Changمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Multimedia Information Retrieval
• +۳ مورد دیگر

Shih-Fu Chang is the Dean of Columbia Engineering and holds the Morris A. and Alma Schapiro Professorship at Columbia University. His research focuses on computer vision, machine learning, and multimedia information retrieval. He is recognized as a foundational figure in the field of content-based visual search and has pioneered innovations in image/video search engines, crime prevention systems, and brain-machine interfaces. His leadership roles include Chair of Columbia's Electrical Engineering Department (2007-2010), Editor-in-Chief of the IEEE Signal Processing Magazine (2006-2008), and Senior Executive Vice Dean at Columbia Engineering, where he drives strategic planning and international collaboration. Dr. Chang has received prestigious awards including the ACM Multimedia Technical Achievement Award, IEEE Signal Processing Technical Achievement Award, and IEEE Kiyo Tomiyasu Award. He is a Fellow of AAAS, ACM, and IEEE, and an Academician of Academia Sinica. His recent work emphasizes multimodal reasoning, few-shot learning, and vision-language systems, with applications in healthcare diagnostics and multimedia benchmarking. His research spans cross-modal understanding, event extraction, and adaptive AI systems. Key contributions include systems like Ferret-v2 for multimodal grounding and RESIN for schema-guided event tracking. He has advised multiple startups and actively contributes to curriculum development in AI and engineering education.

Samuel Chengمشاهده پروفایل

دانشیار

• Information Theory
• Signal and Image Processing
• Remote Sensing
• +۴ مورد دیگر

Dr. Samuel Cheng is an Associate Professor at the Gallogly College of Engineering , University of Oklahoma , specializing in Electrical and Computer Engineering . He holds a Ph.D. in Electrical Engineering from Texas A&M University (2004), preceded by M.S. and M.Phil. degrees from the University of Hawaii and Hong Kong University of Science and Technology. Education: B.S. (University of Hong Kong, 1995), M.Phil. (HKUST, 1997), M.S. (University of Hawaii, 2000), Ph.D. (Texas A&M, 2004) Professional Experience: Senior Research Engineer at Advanced Digital Imaging Research (2004-2005), prior internships at Microsoft Asia and Panasonic Technologies His research focuses on Information Theory , Signal and Image Processing , and Pattern Recognition , with applications in remote sensing, urbanization analysis, and disaster monitoring. His publications span topics including urban impervious surface mapping , nighttime light analysis , and machine learning for environmental data . His work often integrates multi-source datasets (e.g., Landsat, LiDAR, social media) for spatiotemporal modeling. Technical Expertise: Spectral unmixing, machine learning, thermal remote sensing, GIS integration Key Applications: Power outage detection, vegetation-crime correlation, PM2.5 estimation, smart meter data fusion Dr. Cheng holds three US patents in digital watermarking and is affiliated with IEEE, Sigma Xi, and AAAS. His recent articles demonstrate a trend toward leveraging AI for remote sensing challenges and analyzing urbanization impacts on ecosystems.

Jonathan H. Grossmanمشاهده پروفایل

استاد

• Nineteenth-Century British Literature
• Narrative Theory
• History of Science and Technology
• +۴ مورد دیگر

Jonathan H. Grossman is a Professor in the Department of English at the University of California, Los Angeles (UCLA), where he has been since 2013. He earned his Ph.D. in English from the University of Pennsylvania (1996) and a B.A. in English and Religious Studies from Brown University (1989). Education: Ph.D., English, University of Pennsylvania (1996) M.A., English, University of Pennsylvania (1993) B.A., English & Religious Studies, Brown University (1989) Research Interests focus on the intersection of 19th-century British literature, standardization history, and narrative theory. His work examines how transportation networks, legal systems, and technological infrastructures reshaped Victorian perceptions of time, space, and community. Recent projects include analyzing metrology’s role in literary form and global transport’s narrative implications. Publications highlight his expertise in Dickens studies and Victorian systems. Notable works include Charles Dickens’s Networks: Public Transport and the Novel (Oxford, 2012) and The Art of Alibi (Johns Hopkins, 2002). His 2025 article on screw thread standardization in Technology and Culture extends his interdisciplinary analysis. Scientific Awards include the UCLA Senate Distinguished Teaching Award (2013–14) and recognition in The Best American Essays (2005) for his essay 'Alibis'. He has secured multiple UCLA Senate grants for digital humanities initiatives like Cruikshank’s Eye and Yellowback Cover Art . Professional Service spans editorial roles as Co-Editor of Nineteenth-Century Literature (2011–present) and leadership in the Dickens Project. He mentors graduate students, serves on departmental committees, and contributes to academic publishing workshops and conferences.

• Computer Vision
• Machine Learning
• Biomedical Informatics
• +۴ مورد دیگر

Charless Fowlkes is a Professor in the Department of Computer Science at the University of California, Irvine (UCI). His research focuses on computational vision, spanning human visual system understanding, machine vision systems, and applications in biomedical informatics and forensic science. He holds a Ph.D. from UC Berkeley (2005). His work integrates techniques from computer vision, AI, and applied mathematics to address challenges in automated biological data analysis, morphology, and spatial gene expression. Key research areas include forensic science (e.g., shoeprint matching via 3D reconstruction), biomedical applications (e.g., heart function mapping and pollen classification), and AI-driven systems for scene understanding. Recent projects include a $20M forensic science center funded by the National Institute of Justice. His publications emphasize geometric reasoning, 3D reconstruction, and adaptive learning algorithms. Notable contributions include developing algorithms for 3D human pose estimation with scene constraints, automated pollen identification via CNNs, and frameworks for cross-domain forensic analysis. His work bridges theoretical computer vision with real-world applications in forensics, healthcare, and environmental science.

Will Normanمشاهده پروفایل

مدرس ارشد

• American Literature
• 20th-Century Literature
• Modernism
• +۵ مورد دیگر

Will Norman is a Reader in American Literature and Culture at the University of Kent’s School of English. He holds a BA from Nottingham and a DPhil from Oxford. His research focuses on mid-20th-century American literature and culture, particularly modernism, complicity in post-war intellectual history, and intersections between literature and Cold War geopolitics. Norman has held prestigious fellowships, including a Leverhulme Research Fellowship and a Fulbright Scholarship at Yale University. He co-edits the Journal of American Studies and has authored major works such as Transatlantic Aliens: Modernism, Exile and Culture in Midcentury America and Nabokov, History and the Texture of Time . His upcoming book Complicity in American Literature after 1945 (Oxford University Press, 2025) explores race, liberalism, and colonialism in postwar texts. His research spans modernist authors, Cold War cultural apparatuses, and crime fiction. Recent projects examine psychological warfare and national security narratives. Norman has supervised PhD students on topics like graphic novels, gender and medicalization in Cold War fiction, and Nabokov’s engagement with historical trauma. Norman’s publications include over 30 peer-reviewed articles and book chapters, with work featured in Comparative Literature Studies , American Literature , and Journal of American Studies . He is a co-editor of special journal issues on complicity and cartographic imagination in postwar America.

Facundo M. Fernandezمشاهده پروفایل

استاد

• Analytical Chemistry
• Bioanalytical Mass Spectrometry
• Ambient Sampling/Ionization
• +۴ مورد دیگر

Facundo M. Fernandez is a Regents' Professor and Vasser-Woolley Chair in Bioanalytical Chemistry at the Georgia Institute of Technology, where he leads the Fernandez Research Group within the School of Chemistry and Biochemistry in the College of Sciences. His research spans multiple cutting-edge areas of analytical chemistry with significant applications in medicine, forensics, and basic science. Dr. Fernandez earned his M.Sc. in Chemistry (1996) and Ph.D. in Analytical Spectrometry/Metallomics (1999) from the Facultad de Ciencias Exactas y Naturales at Buenos Aires University, Argentina. His research program focuses on Bioanalytical Mass Spectrometry with particular emphasis on Ambient Sampling/Ionization & Molecular Imaging, Ion Mobility Spectrometry, Metabolomics, and Pharmaceutical Forensics. His work has pioneered new approaches in ambient ionization techniques that enable direct analysis of complex samples without extensive preparation. His recent publications reveal a strong trend toward spatial metabolomics, particularly in traumatic brain injury and ovarian cancer research, with increasing integration of machine learning approaches for data analysis. His work also extends to pharmaceutical quality control, exercise physiology through the MoTrPAC consortium, and prebiotic chemistry investigations. The interdisciplinary nature of his research is evident in collaborations across Georgia Tech's campus and with external institutions. NSF CAREER Award (2007) 3M Non-tenured Faculty Award (2008) CETL/BP Junior Faculty Teaching Excellence Award (2009) Ron A. Hites Award for Outstanding Research Publication (2010) Sigma Xi (GT Chapter) Best Faculty Paper Award (2010) Vasser-Wooley Faculty Fellow (2012) Dr. Fernandez has secured significant funding for his research, including NSF CAREER support, and leads projects related to metabolomics for ovarian cancer detection, pharmaceutical forensics through the CODFIN network, and participation in the large-scale Molecular Transducers of Physical Activity Consortium (MoTrPAC). His laboratory develops advanced instrumentation for mass spectrometry applications and maintains strong collaborations with the Integrated Cancer Research Center, the College of Computing, and the Center for Chemical Evolution at Georgia Tech.

Ye Wangمشاهده پروفایل

استادیار

• Political Methodology
• Comparative Politics
• Public Policy
• +۳ مورد دیگر

Ye Wang is an Assistant Professor in the Department of Political Science at the University of North Carolina at Chapel Hill since 2022. He previously held postdoctoral and predoctoral research positions at UC San Diego’s School of Global Policy and Strategy (2020–2022). His research bridges political methodology and comparative politics, focusing on statistical tools for policy spillover effects, research transparency, and social learning under non-democratic regimes. He also explores electoral dynamics in contentious political contexts. Ye earned a PhD in Political Science from New York University (2021), with a committee including Nathaniel Beck, Matthew Blackwell, Adam Przeworski, Cyrus Samii, and Joshua Tucker. He holds an MA in Economics from Peking University (2014) and a BS in Mathematics from Fudan University (2011). He withdrew voluntarily from a concurrent PhD in Economics at the University of Wisconsin-Madison (2014–2015). His research interests emphasize causal inference methodologies and their application to understanding political phenomena in non-democratic settings. He develops statistical techniques to address interference in temporal, spatial, and networked data, while also studying how protests and international tensions impact political systems and scientific collaboration. Recipient of the John T. Williams Dissertation Prize (2020), Chiang Ching-kuo doctoral fellowship (2020), and NYU’s MacCracken fellowship (2015–2020). In advising and teaching, Ye has served as a teaching assistant for courses in political methods, comparative politics, and quantitative methods at NYU and the City University of Hong Kong. He has also taught workshops on quantitative methods at Renmin University and contributed to academic seminars at institutions like Yale and Tsinghua. His programming skills include C++, R, Python, GIS, and Stata, complementing his work in methodological research.

Barak Arielمشاهده پروفایل

استاد

• Experimental Criminology
• Evidence-Based Policing
• Technology in Policing
• +۳ مورد دیگر

Barak Ariel is a Professor of Experimental Criminology at the Institute of Criminology, University of Cambridge. He holds a PhD in Criminology from Hebrew University of Jerusalem, an LLM (Hebrew University), LLB (Academic Centre of Law & Business), MA in Criminology (Hebrew University), and BA in Psychology (University of New York). Since 2008, he has been affiliated with the Jerry Lee Centre of Experimental Criminology and teaches on the MSt in Applied Criminology and Police Management. Academic Rank: Professor of Experimental Criminology Key Affiliations: University of Cambridge, Jerry Lee Centre of Experimental Criminology Education: PhD, LLM, MA, LLB, BA Dr. Ariel specializes in experimental criminology, evidence-based policing, and the role of technology in crime prevention. His research focuses on evaluating policing strategies through randomized controlled trials (RCTs), particularly in areas such as body-worn cameras, domestic abuse hotspots, and interventions to reduce violence against women. He has advised police departments and governments across the UK, USA, Latin America, and Europe. His recent publications highlight trends in global crime dynamics, the impact of police interventions on offender behavior, and the use of machine learning for crime forecasting. These works span subfields including hot spots policing, procedural justice, victim-offender overlaps, and network analysis of organized crime. Scientific Awards : Academy of Experimental Criminology Young Experimental Scholar Award European Society of Criminology Young Criminologist Award Fellow of the Division of Experimental Criminology As Chair of the Division of Experimental Criminology (2019–2021), Dr. Ariel has contributed to advancing methodological rigor in criminological research. He has conducted extensive evaluations of police-led interventions, including trials on body-worn cameras, victim communication strategies, and data-driven approaches to domestic homicide prevention. His work bridges academic research with practical policing reforms, emphasizing the importance of empirical evidence in criminal justice policy.

Sylwia J. Piatkowskaمشاهده پروفایل

دانشیار

• Crime and Deviance
• Comparative Criminology
• International Criminology
• +۳ مورد دیگر

Sylwia J. Piatkowska is an Associate Professor at the College of Criminology and Criminal Justice , Florida State University. Her research focuses on crime and deviance, comparative and international criminology, and advanced quantitative methods. She holds a Ph.D. in Sociology from SUNY Albany (2016) and a B.A./M.A. from Opole University (2006). Her work has been recognized with top honors from the Academy of Criminal Justice Sciences for her impactful research on criminology. Key research interests include hate crimes, fiscal criminology, immigration policy impacts, and sentencing disparities. She has authored/co-authored influential studies such as “The New Fiscal Criminology” (2022) and “Suspended Licenses, Suspended Lives” (2020). Her recent work examines temporal trends in bias-motivated violence and the intersection of mental health, race, and gender in sentencing. Recent Awards: Top Honors from the Academy of Criminal Justice Sciences for her book. Professional Roles: Member of the National Policing Institute’s Board of Directors and editor of leading criminology journals. Her research bridges macro-level structural factors with micro-level criminal behavior, emphasizing cross-national comparisons and policy implications. She is affiliated with Florida State University’s criminology research programs and actively contributes to academic discourse through peer-reviewed publications and institutional leadership.

• Criminology
• Policy and administration
• Public health
• +۸ مورد دیگر

Kate Bowers is a Professor of Security and Crime Science and Head of Department at University College London's Department of Security and Crime Science. She is also Director of the Jill Dando Institute of Security and Crime Science, with over 30 years of experience in crime science research. Education: Doctor of Philosophy, University of Liverpool (1999) Master of Arts, University of Liverpool (1994) Bachelor of Science, University of Durham (1993) Kate's research focuses on quantitative methods and data analytics in crime analysis and prevention, with special interests in predictive policing, big data approaches, evidence-based crime prevention, and innovative data utilization. Her work explores spatial, temporal and spatio-temporal crime patterns, crime radiation theory, and the relationships between crime and environmental context. Her research has been funded by organizations including the UK Government, US Department of Justice, Police, and UK research councils (EPSRC, ESRC, AHRC). She has contributed to three world-leading REF case studies and served as Editor-in-Chief of the Crime Science Journal. Teaching Contributions: Programme Convener for MSc in Crime Science (8 years) Co-developed many MSc modules including Preventing Crimes, Quantitative Methods and Crime Mapping, Spatial Analysis Involved in curriculum development and internal quality assurance External examiner and advisor at University of Leicester and Abertay University