جست‌وجوی استاد و پژوهشگر

Jenny Burtمشاهده پروفایل

دانشیار

• Cognitive Psychology
• Orthographic Processing
• Memory and Learning
• +۳ مورد دیگر

Dr. Jenny Burt is an Honorary Associate Professor at the School of Psychology , University of Queensland, with over three decades of contributions to cognitive psychology and language processing. Her research focuses on orthographic processing, repetition blindness, memory mechanisms, and spelling acquisition. Role: Honorary Associate Professor Institution: University of Queensland Email: j.burt@psy.uq.edu.au Her research explores: Cognitive Interference : Repetition blindness in visual sequences and distractor effects. Spelling Mechanisms : Orthographic learning, word frequency effects, and phonological influences. Memory Dynamics : Recognition errors, maintenance rehearsal, and selective attention. Language Processing : Homograph studies, semantic categorization, and cerebellar contributions to literacy. Key trends in her 63 journal articles include orthographic representation theories , repetition effects , and educational applications of memory research. Her collaborations with Michael S. Humphreys, Jack M. I. Leggett, and others demonstrate interdisciplinary approaches. Publications span experimental psychology journals like: Journal of Memory and Language Memory & Cognition Quarterly Journal of Experimental Psychology Cognition & Emotion

• Security Studies
• Risk Management
• National Security
• +۵ مورد دیگر

Bernard Wiśniewski is a faculty member at WSB University with a focus on Security Studies . He serves as the Director of the Center for Methodology of Research in Security Sciences and has authored 44 publications, emphasizing police operations, crisis management, and national security. Research Focus : Risk management, security systems, and emergency preparedness. Email : bwisniewski@wsb.edu.pl

• Database Systems
• Semantic Heterogeneity
• Federated Databases
• +۳ مورد دیگر

Dennis McLeod is a Professor at the University of Southern California , specializing in Database Systems , Ontology Engineering , and Semantic Heterogeneity resolution. His work bridges Federated Database Systems and Web Engineering , focusing on component-based architectures, adaptive ontologies, and geospatial data processing. Key Research Areas : Semantic heterogeneity, ontology-driven data mining, mobile web information management, and distributed systems. Collaborations : Extensive partnerships with researchers like Qing Li , Cyrus Shahabi , and Stefania Leone across institutions. Publications (2014-1995) span topics from component-based web engineering to distributed earthquake science , with recent work on geostreaming, social network tag-geotag analysis, and spam filtering using ontologies. His contributions include frameworks for multi-resolution document transmission , object-oriented database sharing , and adaptive query optimization in federated systems. Scientific Impact : Co-chairs and tutorials at major conferences (VLDB, CoopIS, ICDE). Co-edited proceedings for ICWL 2008 and contributed to Expert Database Systems (1989-1991). Pioneered INTERBASE for controlled sharing in federated databases (1990).

• Medical Imaging
• Radiomics
• Neuroimaging
• +۷ مورد دیگر

Steven Yong Cen, PhD is a Professor of Research in Radiology, Neurology and Radiation Oncology at the Keck School of Medicine of the University of Southern California. His office can be reached at +1 323 442 1570 and his professional email is cen@usc.edu. Dr. Cen's research spans multiple domains within medical imaging, with particular focus on radiomics, neuroimaging, and artificial intelligence applications in medicine. His work encompasses advanced MRI techniques, CT imaging analysis, Alzheimer's disease diagnostics, cancer imaging (particularly renal cell carcinoma), and stroke imaging. He has pioneered research in robotic surgery feedback systems and human-AI collaboration for surgical training. Analysis of Dr. Cen's recent publications reveals a strong trend toward integrating artificial intelligence with medical imaging to improve diagnostic accuracy and treatment outcomes. His work bridges quantitative imaging biomarkers, neurodegenerative disease assessment, and surgical education technology. The interdisciplinary nature of his research connects radiology, neurology, oncology, and computer science to address critical challenges in modern medicine. Dr. Cen has made significant contributions to understanding blood-brain barrier function in aging, developing AI-assisted surgical training systems, and establishing quantitative imaging biomarkers for neurological conditions. His work on health disparities in stroke treatment highlights his commitment to addressing inequities in healthcare delivery.

Dan Baiمشاهده پروفایل

عضو هیئت علمی

• Digital Sociology
• Social Media Analysis
• Computational Content Analysis
• +۳ مورد دیگر

Dan Bai holds multiple academic roles at the University of Essex: Graduate Laboratory Assistant in Psychology, Assistant Lecturer in Sociology and Criminology, and Assistant Lecturer in the School of Mathematics, Statistics and Actuarial Science (SMSAS). He is also a Postgraduate Research Student at the Institute for Social and Economic Research. His work focuses on digital sociology, media analysis, and cross-cultural communication. Education: Bachelor of Arts in English (2011–2015) Master of Arts in International Journalism, University of Leeds (2015–2016) Master of Science in Digital Sociology, University of Edinburgh (2021–2022) Research Interests: Humor Changes in TikTok Comedies: Analyzes shifts in TikTok/Douyin comedy content across China, the UK, and the US during/after the pandemic, exploring cultural and societal influences. Cross-Cultural Film Reviews: Examines differences in online reactions to Shang-Chi among international vs. local audiences on platforms like IMDb and Douban. Media Manipulation: Identifies strategies like attention diversion and value regulation, linking them to outcomes like cyberbullying and health impacts. Subtitling in Media: Investigates cross-cultural translation techniques in TV/film subtitles, categorizing methods like literal translation with notes and hybrid cultural approaches. Technical Skills: Proficient in R, STATA, Python, MATLAB, SPSS, and SQL. Expertise in web scraping, data mining, and computational content analysis. Contact: Office 2N2.5B.16, Colchester Campus | Email | Blog | GitHub | LinkedIn

Nina Effenbergerمشاهده پروفایل

پژوهشگر

• Climate Science
• Machine Learning
• Renewable Energy
• +۳ مورد دیگر

Dr. Nina Effenberger is a Postdoctoral Researcher in the Climate Physics group at ETH Zurich, led by Professor Reto Knutti. She previously completed her Ph.D. at the University of Tübingen under Nicole Ludwig’s Machine Learning in Sustainable Energy Systems group and was affiliated with the International Max Planck Research School for Intelligent Systems (IMPRS-IS). Her work bridges climate science, machine learning, and energy modeling to address challenges in renewable energy systems under climate change. Her research focuses on multi-decadal wind power forecasting using climate models (CMIP6) and Gaussian Processes, with a particular emphasis on turbine-location-aware downscaling techniques. She has also contributed to mental health advocacy in academia, including co-authoring a 2023 publication in Plos One on stress and well-being among Ph.D. students. Her recent work includes arXiv preprints on climate data selection and temporal resolution impacts in wind power predictions. Dr. Effenberger is an alumnus of the sustainAbility Ph.D. initiative and trained in mental health first aid. She can be contacted via email at nina.effenberger@env.ethz.ch .

• Sales Management
• Intercultural Management
• Marketing Strategies
• +۳ مورد دیگر

Prof. (FH) Dr. Hannes Hofstadler is a faculty member at the University of Applied Sciences Upper Austria , specifically affiliated with the Faculty of Management . His work focuses on Sales Management and Intercultural Management , with a strong emphasis on international business contexts and cross-cultural dynamics. University: University of Applied Sciences Upper Austria School: Faculty of Management Academic Rank: Professor Email: hannes.hofstadler@fh-steyr.at Hofstadler's research spans areas such as expatriate compensation models , cross-cultural conflict prevention , and B2B marketing strategies in Central and Eastern Europe. His publications highlight practical applications in managing diverse teams and optimizing sales approaches. Recent trends in his work include exploring how cultural self-reflection mitigates workplace conflicts and analyzing regional market dynamics for Austrian businesses. While no formal awards are listed, his contributions to applied research in management education are notable.

Szabolcs Janurikمشاهده پروفایل

استادیار

• Modern Russian Language
• Lexicology
• Lexicography
• +۳ مورد دیگر

Szabolcs Janurik is an Assistant Professor at the Institute of Slavic and Baltic Philology , Department of Russian Language and Literature , at Eötvös Loránd University (ELTE) in Budapest. Born in 1971, he holds a PhD (2008) and focuses on modern Russian lexicology, lexicography, and language contact phenomena, particularly English loanwords in Russian. Educational Qualifications High School Diploma, József Attila High School, Székesfehérvár (1990) Russian-English Major, Janus Pannonius University, Pécs (1995) His research spans semantic development of Anglicisms, grammatical adaptation in advertisements, phonetic integration of Americanisms, and comparative analysis of loanwords in Hungarian and Russian. He contributes to academic publications and serves as Editor of Studia Slavica Academiae Scientiarum Hungaricae . Publications address lexicographic challenges, pseudo-Anglicisms, and cultural implications of lexical borrowing. He teaches Russian descriptive lexicology and morphology (BA, MA) and supervises PhD research on English loanwords in Russian. Contact Email: janurik.szabolcs@btk.elte.hu Phone: +36 411 6700 / 5383 Address: 1088 Budapest, Museum Square 4/D, Room 11

Jørgen Vold Rennemoمشاهده پروفایل

استاد

• Algebraic Geometry
• Enumerative Geometry
• Derived Categories of Coherent Sheaves
• +۵ مورد دیگر

Jørgen Vold Rennemo is a Professor in the Department of Mathematics at the University of Oslo, specializing in algebraic geometry with a focus on enumerative geometry and derived categories of coherent sheaves. His research explores Fano varieties, Hilbert schemes, and homological projective duality. He holds an office at Moltke Moes vei 35 (Room 1112) and can be reached via email at jorgeren@math.uio.no . His research interests center on advanced algebraic structures, particularly the interplay between derived categories, birational geometry, and enumerative problems. Notably, he has contributed to resolving conjectures in Donaldson-Thomas theory and Fano variety classifications, as well as categorical Torelli theorems. Recent work includes studies on cohomology torsion in Fano varieties and reconstruction methods for sheaves on Hilbert schemes. His publications span leading journals like Inventiones Mathematicae , Compositio Mathematica , and Journal für die Reine und Angewandte Mathematik , reflecting a strong emphasis on foundational geometric problems and their categorical interpretations. Though no specific awards are listed, his work demonstrates significant contributions to modern algebraic geometry. Rennemo’s advising and grant activities are not explicitly detailed in the provided texts. His research group is affiliated with the Algebra and Algebraic Geometry group at the University of Oslo.

• Algebraic Geometry
• Motivic Homotopy Theory
• Algebraic K-Theory
• +۳ مورد دیگر

Tom Bachmann is a Professor in the Department of Mathematics at Johannes Gutenberg University Mainz, Germany. His research focuses on motivic homotopy theory, algebraic geometry, and algebraic K-theory, with particular emphasis on topics such as motivic spectra, étale homotopy theory, and categorical structures in algebraic topology. He has authored numerous preprints and publications in leading journals, including collaborations with researchers like Aravind Asok, Elden Elmanto, and Mike Hopkins. His work often explores foundational aspects of motivic theory, such as P¹-stabilization, Whitehead theorems for motivic spaces, and normed motivic spectra. He currently advises four doctoral students and has previously mentored Ola Sande. Teaching responsibilities include advanced courses on motivic homotopy theory, algebraic geometry, and algebraic number theory. His academic service includes organizing research seminars and contributing to curriculum development in topics like presheaves with transfers and Galois cohomology. Contact details include his office at Staudingerweg 9, 4-423, and email tom.bachmann@zoho.com. Research interests span the intersection of algebraic geometry and homotopy theory, with a focus on categorical frameworks (e.g., Mackey functors, spectral categories) and their applications to questions in algebraic K-theory and cobordism. Recent work addresses étale motivic stable homotopy theory, nilpotence in MGL-modules, and the structure of motivic stable stems.

• Statistics
• Probability Theory
• Machine Learning
• +۳ مورد دیگر

Thomas Augustin is a Professor at the Department of Statistics, Faculty of Mathematics, Computer Science and Statistics, Ludwig-Maximilians-Universität München. He serves as Dean of Studies and Program Coordinator, with contact details at Ludwigstr. 33, Munich. Research Interests Augustin specializes in methodological foundations of statistics and their applications, particularly focusing on imprecise probability theory, Bayesian inference under epistemic uncertainty, and machine learning under complex uncertainty scenarios. His work addresses statistical modeling, robust regression analysis, and decision-making with non-randomly coarsened observations. Publications & Research Trends Recent publications highlight advancements in imprecise Bayesian optimization, human-AI collaboration frameworks, and statistical methods for handling undecided voter data. Key themes include robust machine learning, survival analysis with frailty models, and multi-criteria benchmarking techniques. Contact & Affiliation Email: thomas.augustin@stat.uni-muenchen.de | Office: Room L250 | Phone: +49 89 2180 3520

Fabian Januszewskiمشاهده پروفایل

استاد

• Number Theory
• Algebra
• Representation Theory
• +۸ مورد دیگر

Prof. Dr. Fabian Januszewski is a Professor at the University of Paderborn , affiliated with the Institute of Mathematics within the Faculty of Computer Science, Electrical Engineering and Mathematics . He leads the Algebra and Number Theory research group, focusing on Shimura varieties , automorphic representations , L-functions , Iwasawa theory , and representation theory . He is actively involved in the TRR 358 collaborative research center, specifically subproject C03. Current research on integral structures in geometry and higher categorical methods . Recent projects include non-abelian p-adic L-functions and non-vanishing of central L-values . Teaching includes courses like Algebraic Number Theory II , Linear Algebra II , and seminars on number theory. Email: fabian.januszewski@uni-paderborn.de | Office: D2.231, Warburger Str. 100, Paderborn

J. Peter Mayمشاهده پروفایل

استاد

• Algebraic Topology
• Equivariant Stable Homotopy Theory
• Equivariant Infinite Loop Space Theory
• +۳ مورد دیگر

J. Peter May is a Professor in the Department of Mathematics at the University of Chicago. His office is located in Eckhart 314, and he can be reached via email at may@math.uchicago.edu. He holds a BA from Swarthmore College (1960) and a PhD from Princeton University (1964). May's research focuses on algebraic topology, with recent emphasis on equivariant stable homotopy theory and equivariant infinite loop space theory. His work explores advanced topics such as chromatic homotopy theory, stable homotopy groups of spheres, and the application of equivariant algebraic K-theory. His contributions have significantly impacted categorical and structural advancements in algebraic topology. No specific articles, grants, or awards are listed in the provided text, though his research interests highlight ongoing exploration in foundational areas of topology.

Emily Mannمشاهده پروفایل

دانشیار

• Reproductive Health
• Qualitative Research Methods
• Social Theory
• +۶ مورد دیگر

Emily Mann, Ph.D., is an Associate Professor at the Arnold School of Public Health, University of South Carolina, specializing in reproductive health promotion through qualitative research and social theory. She has a joint appointment in the Department of Women’s and Gender Studies and co-directs the Carolina Consortium on Health, Inequalities, and Populations (CHIP). Department: Health Promotion, Education, and Behavior Email: emann@mailbox.sc.edu Office: Discovery 547 Her research examines: Contraceptive experiences of adolescents/young adults in the U.S. South Implications of “advanced maternal age” in maternal/child health Social processes shaping reproductive/parenting experiences Intersectional analysis of race, gender, and healthcare Biomedicalization of reproductive practices Health equity in Medicaid-insured populations Recent publications address: Clinician bias in contraceptive counseling Post-Dobbs reproductive autonomy Racial disparities in mental health Discourse around long-acting reversible contraception (LARC) Neoliberal feminism in reproductive health Advanced maternal age categorization She teaches courses on: Maternal/child health LGBTQ+ health Health promotion theory As co-director of CHIP, she leads interdisciplinary initiatives addressing health inequities and population-level disparities.

Matthew Weeksمشاهده پروفایل

دانشیار

• Social Psychology
• Implicit Bias
• Stereotyping
• +۶ مورد دیگر

Matthew Weeks is an Associate Professor of Psychology and Chair of Psychology at Rhodes College, a liberal arts institution. His research focuses on social cognitive processes, particularly how social categorization (race, class, religion) shapes interpersonal judgments and behaviors. He actively engages undergraduate students in collaborative research projects. B.A. in Psychology from Kentucky Wesleyan College M.S. in General Psychology from University of Memphis Ph.D. in Experimental Psychology from University of Memphis His work examines implicit bias mechanisms through lenses of racial categorization, socioeconomic status perception, and religious influence. Key themes include stereotype application, shifting standards models, and intersectional identity dynamics. Matthew Weeks' research output demonstrates consistent exploration of social categorization effects over 20+ years, with recent emphasis on status amplification, intersectional bias, and occupational stereotyping. His methodological focus includes implicit association testing and stereotype quantification frameworks. He emphasizes mentorship in liberal arts settings, fostering critical thinking and collaborative problem-solving skills among students. His email contact is weeksm@rhodes.edu.