جستجوی استاد راهنمای دانشگاهی

Nina Baurمشاهده پروفایل

استاد

• Social Science Methodology
• Process-Oriented Methodology
• Spatial Methods
• +۵ مورد دیگر

Nina Baur is a Full Professor (W3) of Methods of Social Research at the Department of Sociology, Technische Universität Berlin, within Faculty VI: Planning Building Environment. Her academic roles include Director of the Global Center of Spatial Methods for Urban Sustainability (GCSMUS) and leadership in interdisciplinary research initiatives such as the Collaborative Research Center 'Re-Figuration of Spaces' (CRC 1265). She holds a Ph.D. (Dr. rer. pol.) in Sociology from Otto-Friedrich-University of Bamberg (2005) and a Master’s equivalent (Diplom-Soziologin) from the same institution (1999). Her research focuses on social science methodology, spatial methods, historical sociology, and economic sociology. Key areas include process-oriented methodology, innovation studies, and global methodological challenges. Notable projects involve analyzing commodity chains, urban sustainability, and interdisciplinary research collaboration between sociology, geography, and urban planning. She has received awards such as the DGS Dissertationspreis (2007) and the E.ON Kulturpreis Bayern (2005). Her international collaborations include visiting professorships at IIT Roorkee (India) and Japan Women’s University, and leadership in global academic networks via DAAD and BCGE programs. She serves on editorial boards of journals like Historical Social Research and Kölner Zeitschrift für Soziologie und Sozialpsychologie . Her publications emphasize methodological innovation, cross-cultural research, and spatial sociology. Recent work addresses decolonizing methodologies and global sustainability through spatial analysis frameworks.

Alex Arenasمشاهده پروفایل

استاد

• Complex Systems
• Network Science
• Multilayer Networks
• +۱۲ مورد دیگر

Alex Arenas is a Full Professor in the Department of Computer Engineering and Mathematics at Universitat Rovira i Virgili (URV), Tarragona, Spain. He is also an External Faculty member at the Complexity Science Hub in Vienna and Chief of Complex Systems Science at the Pacific Northwest National Laboratory, USA. His research spans complex systems, network science, computational epidemiology, and multilayer dynamics, with applications in public health, neuroscience, and social systems. Research Interests: His work focuses on the physics of multilayer networked systems, particularly the interplay between structure and function in complex networks. Key areas include synchronization, epidemic modeling, network medicine, the physics of the microbiome, and higher-order interactions in spreading processes. He investigates dynamic transitions using functional multilayer frameworks and develops models for real-world systems like urban mobility and misinformation diffusion. The recent articles highlight a strong trend in computational epidemiology, especially post-COVID modeling of vaccination strategies, rebound dynamics, and wastewater surveillance. There is also significant work on synchronization in oscillator networks, chimera states, and higher-order network effects, reflecting a deep engagement with nonlinear dynamics and theoretical network science. Applications span medicine, urban planning, and social systems. Scientific Awards: Fellow, American Physical Society (2018) Fellow, Network Science Society (2020) ICREA Academia (2011, 2017, 2022) Narcís Monturiol Medal (2022) Web Science Trust Test of Time Award (2024) Complex Systems Society Senior Award (2024) Advising and Grants: Arenas has supervised numerous PhD students and postdoctoral researchers, though specific names are not listed. He has been Principal Investigator on 47 research projects, including EU FP7 projects, a James S. McDonnell Foundation grant, and Horizon Europe's CREXDATA project. He has served as an editor for Physical Review E , Journal of Complex Networks , and Network Neuroscience , and has reviewed for major funding agencies including ERC, MINECO, and international bodies. Labs and Teams: He leads the Alephsys Lab at URV, which develops tools like Radatools for network analysis and community detection. His team focuses on interdisciplinary modeling of real-world complex systems using data-driven and theoretical approaches.

Natalia Villanueva-Rosalesمشاهده پروفایل

دانشیار

• Semantic Web Technologies
• Smart Cities
• Data Integration
• +۵ مورد دیگر

Natalia Villanueva-Rosales is an Associate Professor in the Department of Computer Science at The University of Texas at El Paso (UTEP). As Co-Principal Investigator at the NSF-funded Cyber-ShARE Center of Excellence, she leads the iLink Research Group focusing on semantic technologies and smart city initiatives. Ph.D. in Computer Science, Carleton University (2011) M.Sc. in Artificial Intelligence, University of Edinburgh (2005) B.Sc. in Computer Science & Statistics, Universidad Panamericana & CINVESTAV-IPN (2002) Her research bridges Semantic Web technologies with Smart Cities applications, particularly in Water Sustainability and Senior Mobility . Key projects include ontology-based frameworks for freight performance data integration and community-driven smart mobility solutions. Recent publications demonstrate her interdisciplinary approach across Environmental Informatics (2022-2025) and Urban Mobility (2019-2022). She holds editorial and leadership roles in semantic science initiatives while actively mentoring through the ACM-W WICS student group. 2019 HEENAC Education Award 2019 NCWIT Undergraduate Research Mentoring Award Her NSF grants include IRES-1658733 for US-Mexico Smart Cities collaboration and OAC-1835897 for the SWIM water sustainability project. The iLink Research Group under her leadership develops ontological frameworks for cross-domain data integration and trust establishment in collaborative environments.

• Sociology of Time
• Migration Studies
• Gender Studies
• +۴ مورد دیگر

Elisabeth Schilling serves as Associate Professor of Social Sciences at the University of Applied Sciences for Police and Public Administration North Rhine-Westphalia (HSPV NRW), holding a W2 professorship since December 2009. She previously taught at the Cologne department until 2012 and now works at the Bielefeld location. Her academic appointments include habilitation in Sociology at the University of Erfurt (2022) and guest professorship at Georg-August-Universität Göttingen (2015). Schilling's institutional affiliations extend to the Max-Weber-Kolleg at the University of Erfurt and the Institute for Diversity Research at Göttingen. Her education includes a PhD in Sociology from Heinrich-Heine-University Düsseldorf (2005, magna cum laude), with dissertation titled "Die Zukunft der Zeit: Vergleich von Zeitvorstellungen in Russland und Deutschland im Zeichen der Globalisierung." Additional academic training includes specialized sociology studies at RWTH Aachen (2000-2001) and University of California at Davis (2000), where she achieved top 5% standing in her cohort. Schilling's research fundamentally examines how time structures shape social experience across multiple domains. Her work explores temporal dimensions of migration, particularly how Ukrainian refugees construct future perspectives amid trauma. She investigates gendered time inequalities in public administration careers, analyzing how interrupted career paths disproportionately affect women. Her scholarship reveals how bureaucratic systems administer time through scheduling practices that reinforce social inequalities. Schilling develops methodological approaches for studying temporal diversity through qualitative time practice assessments, bridging classical life course theory with biographical subjectivity. Her publication trajectory shows consistent focus on time, migration, and biography since 2005, with recent work increasingly addressing refugee experiences and temporal aspects of public administration. The articles reveal methodological sophistication in qualitative time research, with growing emphasis on practical applications for public sector management. Schilling's work demonstrates strong interdisciplinary connections between sociology, gender studies, and public administration. Her current research portfolio includes multiple funded projects examining time perspectives among Ukrainian refugees (2023-2024), integration of Ukrainian refugees (2022-2023), and time management during remote work periods (2020-2021). These projects reflect her ability to address timely social issues through her temporal lens while maintaining theoretical rigor. Schilling maintains active research collaborations including the Time Perspective Network around Philip Zimbardo and the Max-Weber-Kolleg. Her editorial work includes special issues of BIOS journal and edited volumes with Springer VS. She directs research groups focusing on time structures as inequality-reproducing classification systems, demonstrating sustained scholarly impact in her field.

• Magnetic Resonance Imaging (MRI)
• Functional MRI (fMRI)
• Biomedical Imaging Physics
• +۶ مورد دیگر

Dr. Gary Glover is a Professor of Radiology (Radiological Sciences Lab) at Stanford University , with courtesy appointments in Psychology and Electrical Engineering. His work focuses on the physics and mathematics of MRI, particularly rapid scanning methods using spiral k-space trajectories for functional brain imaging and multimodal neuroimaging (fMRI/EEG/fPET/fNIRS) combined with neuromodulation techniques like TMS and transcranial ultrasound. Academic Appointments: Radiology, Psychology, Electrical Engineering Professional Affiliations: Bio-X, Stanford Cancer Institute, Wu Tsai Neurosciences Institute Research Interests include: Development of blood oxygen level-dependent (BOLD) and viscoelastic contrast in MRI Functional MR Elastography for brain activation mapping Optimization of MR-ARFI for transcranial ultrasound guidance Automated spinal cord segmentation (EPISeg) using machine learning Scientific Awards : National Academy of Engineering (2013) Gold Medal, ISMRM (2000) Steinmetz Award, General Electric (1985) Lauterbur Lecture, ISMRM (2018) Recent Publications analyze: Fast fMRI sampling and spurious signal correction Dissociated patterns in default mode network anti-correlations Neural correlates of collaborative behavior in triadic fMRI Salience network contributions to depression pathophysiology

• Computational Statistics
• Causal Inference
• Machine Learning
• +۳ مورد دیگر

Niels Richard Hansen is a Professor at the Department of Mathematical Sciences , University of Copenhagen, leading research at the intersection of Artificial Intelligence and Statistics . He co-founded the Copenhagen Causality Lab and focuses on automating causal explanation discovery from data using Bayesian networks, stochastic processes, predictive models, and machine learning. His work emphasizes creating interpretable and robust AI systems capable of generalizing across domains. His research has produced over 56 publications spanning causal inference , graphical modeling , stochastic processes , and machine learning . Recent work includes: Predictive and causal learning (2018 keynote) High-dimensional regression solutions (2016 lecture) Interdisciplinary applications in actuarial science , environmental statistics , and neuroscience He actively contributes to scientific communication through media appearances and public explanations of statistical concepts, including analyses of: Gaussian correlation inequality proofs Daylight saving time and blood clots Mathematical approaches to lotteries Climate change vs lunar effects

Mark Hammondمشاهده پروفایل

مدرس ارشد

• Urban Ageing
• Architecture
• Spatial Justice
• +۵ مورد دیگر

Dr Mark Hammond is a Senior Lecturer and Deputy Research Lead at the Manchester School of Architecture , affiliated with Manchester Metropolitan University . His research investigates the intersections between architecture and urban ageing, focusing on housing inequality, spatial justice, and participatory design methodologies. Hammond collaborates extensively with local government and communities, including a two-year secondment at the Greater Manchester Combined Authority (2018-2021) and ongoing projects like Co-creating Age-Friendly Social Housing (2022-2025). Current Research : Urban Ageing, Spatial Justice, Participatory Design Publications : Author of A Design for Life: Urban Practices for an Age-Friendly City (2021), co-editor of Reimagining Age-Friendly Cities (2024) Awards : Fellow of the Higher Education Academy Academic Affiliation : Manchester Metropolitan University Email: m.hammond@mmu.ac.uk

Masami Imaiمشاهده پروفایل

استاد

• Banking
• Financial Crises
• Japanese Economy
• +۳ مورد دیگر

Masami Imai is Professor of Economics and East Asian Studies at Wesleyan University, where he serves as Director of the Fries Center for Global Studies. His academic career spans prestigious research institutions including the Tokyo Center for Economics Research (TECR), Federal Deposit Insurance Corporation (FDIC), and University of Tokyo's CIRJE. His research expertise focuses on banking systems, financial crises, and East Asian economies, particularly Japan. Key interests include corporate innovation during crises, capital allocation efficiency, regulatory responses to banking failures, and regional economic development in post-conflict societies. His scholarly output shows strong temporal trends: early work (2000s) centered on Japanese banking history and deposit insurance reforms, mid-career research (2010-2015) analyzed global financial crisis impacts and political economy of banking, while recent publications (2020-2024) examine zombie lending, legislative malapportionment effects, and ethnic minority contributions to economic development. Most significant paper published in 2012 in Journal of Financial Intermediation Professor Imai teaches Introduction to Economic Theory, Macroeconomic Analysis, Money and Banking, Economy of Japan, and Quantitative Methods. His research fellowships demonstrate deep engagement with Japanese financial institutions and international economic policy analysis. Current work continues to bridge historical banking practices with contemporary crisis management frameworks.

Nikolaus Kriegeskorteمشاهده پروفایل

استاد

• Computational Neuroscience
• Artificial Neural Networks
• Visual Perception
• +۳ مورد دیگر

Nikolaus Kriegeskorte is a Professor of Psychology and Neuroscience, and Director of Cognitive Imaging at the Mortimer B. Zuckerman Mind Brain Behavior Institute at Columbia University. He is affiliated with the Departments of Psychology, Neuroscience, and Electrical Engineering. Institution: Columbia University Academic Roles: Professor of Psychology and Neuroscience; Director of Cognitive Imaging Email: nk2765@columbia.edu Location: Jerome L. Greene Science Center, 3227 Broadway, L3-064 Research Focus: The lab explores the cognitive neuroscience of vision, modeling biological visual systems with artificial neural networks. Key areas include developing statistical inference and visualization techniques to bridge theory and experimental data, understanding representational geometry in neural systems, and optimizing deep learning frameworks for neuroscience. Recent Publications: Highlighted work spans neural network modeling of visual perception, representational similarity analysis, and the topology of brain representations. The lab's methods, such as the TorchLens Python package, enable transparent extraction and visualization of hidden layer activations in neural networks. Grants: Projects are supported by funding from the National Science Foundation (NSF) - Cognitive Neuroscience and the National Institutes of Health (NIH) - NIMH. Laboratory: The Visual Inference Lab (kriegeskortelab.zuckermaninstitute.columbia.edu) is located at Quad 3D, Zuckerman Institute, 3227 Broadway.

Kash Barkerمشاهده پروفایل

استاد

• Network Resilience
• Systems Engineering
• Supply Chain Analytics
• +۵ مورد دیگر

Kash Barker serves as the John A. Myers Professor and David L. Boren Professor at the University of Oklahoma in the Department of Industrial & Systems Engineering within the College of Engineering. As Graduate Liaison, he leads research on network resilience, supply chains, and systems engineering for societal good, with applications spanning infrastructure, supply chains, and community systems. His lab has produced 11 Ph.D. graduates (10 in academia) and 31 M.S. graduates. Research Domains: Resilient networks and interdependent systems Risk and decision analytics Supply chain survivability Pandemic economic impact modeling Climate migration optimization Cyber-Physical-Social Systems Article Trends emphasize disinformation defense , network restoration optimization , and multi-layer resilience modeling across infrastructure, supply chains, and community systems. His work combines game theory , machine learning , and decision analysis frameworks. Scientific Awards & Roles: Fellow, Institute of Industrial and Systems Engineers Senior Member, IEEE Fellow, Fulbright Finland Foundation (2023) Associate Editor roles in IISE Transactions and Naval Research Logistics Editorial Board Member for Risk Analysis and Scientific Reports Faculty Advisor, OU INFORMS student chapter Educational Background: Ph.D., Systems Engineering, University of Virginia M.S., Industrial Engineering, University of Oklahoma B.S., Industrial Engineering, University of Oklahoma

Huaizu Jiangمشاهده پروفایل

استادیار

• Computer Vision
• Computer Graphics
• Natural Language Processing
• +۵ مورد دیگر

Huaizu Jiang is an Assistant Professor at Khoury College of Computer Sciences, Northeastern University. His research bridges computer vision, graphics, and natural language processing to develop AI systems that understand and reconstruct 3D visual environments. Prior to joining Northeastern, he was a Postdoc Researcher at Caltech and Visiting Researcher at NVIDIA. He holds a Ph.D. from UMass Amherst (advised by Prof. Erik Learned-Miller), and M.E./B.E. degrees from Xi'an Jiaotong University. His research focuses on fundamental challenges in 3D scene understanding, including geometry reconstruction, semantic interpretation, novel view synthesis, motion generation, and optical flow estimation. Core interests span video processing, human-object interactions, multimodal reasoning, and efficient edge-device implementations. Recent publications emphasize diffusion models for motion/scene generation, transformer-based 3D perception, and video interpolation. Key trends include multi-view consistency techniques, text-to-3D synthesis, and efficient real-time algorithms for robotics applications. Awards & Honors: Winner of the VQA Challenge 2020 He advises 15+ graduate students on projects spanning 3D reconstruction, motion synthesis, and vision-language models. His group collaborates with institutions like NVIDIA and Caltech, focusing on generative AI for dynamic scene understanding.

• Literary Theory
• Cultural History
• German Literature
• +۱۰ مورد دیگر

Yashar Mohagheghi is a Researcher at the Department of German and General Literary Studies, RWTH Aachen University, where he has worked since 2018 under Prof. Dr. Caroline Torra-Mattenklott. His academic trajectory includes a postdoctoral fellowship at Bielefeld University's Graduate School of Linguistics and Literary Studies (2012–2017), a research stint at the Bibliothèque Nationale de France (2015), and a Junior Lecturer position at Johns Hopkins University (2011). His research interests span Literary Theory, Cultural History, and German Literature with specialized focus on Time Theory, Festival Culture, Material Philology, and Small Literary Forms. Mohagheghi's work bridges systematic analysis of concepts like Festkultur and Zeitlichkeit with historical investigations of Early Modern literature, Goethe-era writings, Aestheticism, and Modernism. His scholarship frequently examines intersections between material culture, sensory theory, and political communication across different historical periods. Mohagheghi's publications reveal a trajectory emphasizing temporal aesthetics in Hölderlin's work, material philology in 19th-century literature, and sociological analyses of Weimar Republic culture. His research demonstrates increasing engagement with ecological perspectives in literary studies, particularly regarding resource economies in book production and sustainability in literary materiality. Publikationspreis 2021 der Philosophischen Fakultät der RWTH Aachen Dissertationspreis 2018 der Kulturwissenschaftlichen Gesellschaft As an active academic organizer, Mohagheghi has co-chaired significant conferences including Wissenschaften des Konkreten (2023) and Ressource ‚Schriftträger‘ (2021), demonstrating leadership in contemporary literary theory discussions. His scholarly network extends across German, French, and American institutions, with particular strength in European literary theory and cultural history.

• Artificial Intelligence
• Computer Gaming and Animation
• Computer Graphics
• +۴ مورد دیگر

Yingying Wang is an Assistant Professor in the Computing and Software department at McMaster University , where she joined in January 2022. Her research focuses on generating expressive animations for AR/VR applications and games through interdisciplinary approaches combining Computer Graphics , Artificial Intelligence , and Human Behavior Analysis . Education : Bachelor and Master degrees from Nanjing University , Ph.D. from University of California, Davis (2017) Her research explores: Generative models for human motion style transfer Physics-based motion simulation Audio-driven character synthesis Dance choreography for virtual characters Cartoon animation perception Conversational character gesture synthesis Markerless hand motion capture Recent publications focus on 3D hand pose estimation , motion style transfer , gesture-locomotion coordination , and personality perception in virtual agents . Key methodologies include deep learning , multimodal data analysis , and real-time animation systems . Scientific contributions recognized through: $240,000 Labarge Catalyst Grant in Mobility in Aging (interdisciplinary team award) US Patent 10,796,482 (3D hand pose estimation) US Patent 9,811,937 (gesture-locomotion coordination) Teaching includes graduate and undergraduate courses in Computer Animation (CAS 737), Computer Graphics (COMPSCI 3GC3/SFWRENG 3GC3), and Software Development (COMPSCI 2ME3). Research group actively recruits Ph.D. and Master's students in graphics + deep learning domains.

Tim Denisonمشاهده پروفایل

استاد

• Neural interface technologies
• Algorithm technologies for neurological disease treatment
• Physiologic closed-loop systems
• +۷ مورد دیگر

Professor Tim Denison FREng holds a joint appointment in the Department of Engineering Science and Nuffield Department of Clinical Neurosciences at the University of Oxford, where he serves as the Royal Academy of Engineering Chair in Emerging Technologies and an MRC Investigator. His research focuses on the fundamentals of physiologic closed-loop systems and developing next-generation neural interface technologies for treating chronic neurological diseases. Professor Denison received his A.B. in Physics from The University of Chicago, followed by M.S. and Ph.D. degrees in Electrical Engineering from MIT. He later completed an MBA at The University of Chicago, where he was named a Wallman Scholar. His research spans neural engineering, closed-loop neuromodulation systems, and computational neuroscience, with particular emphasis on deep brain stimulation, neural oscillations, and adaptive neurostimulation techniques. His work integrates engineering principles with clinical neuroscience to develop innovative treatments for neurological disorders. Professor Denison's approach combines computational modeling with experimental validation to optimize brain stimulation parameters for individual patients. Professor Denison has received numerous prestigious awards, including membership in the Bakken Society (2012, Medtronic's highest technical honor), the Wallin leadership award (2014), election to the College of Fellows for the American Institute of Medical and Biological Engineering (2015), and recognition as a Fellow of the Royal Academy of Engineering (FREng). As a former Technical Fellow at Medtronic PLC and Vice President of Research & Core Technology for the Restorative Therapies Group, Professor Denison brings significant industry experience to his academic work. His research group focuses on developing advanced neurostimulation technologies that incorporate chronobiology principles and adaptive algorithms to improve treatment outcomes for neurological conditions.

Matthew James Keelingمشاهده پروفایل

استاد

• Infectious Disease Modeling
• Mathematical Epidemiology
• Network Theory in Epidemiology
• +۵ مورد دیگر

Professor Matthew James Keeling is a distinguished academic at the University of Warwick, where he serves as Director of the Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research (SBIDER). He holds a professorship in the Department of Mathematics within the School of Science, specializing in mathematical modeling of infectious disease dynamics. His work bridges theoretical mathematics with practical public health applications, making significant contributions to epidemic prediction and control strategies. Professor Keeling's educational background includes a B.A. in Mathematics (1991), Master in Mathematics (1992), and PhD in Mathematical Modelling (1995). His career progression at Warwick shows steady advancement from Lecturer (2002) to Reader (2005) and finally to Professor (2007), supported by prestigious fellowships including the Royal Society University Research Fellowship (1998-2006) and Wellcome Trust Fellowship (1995-1998). His research focuses on mathematical models for infectious disease transmission, with particular expertise in network-based approaches to understanding how diseases spread through populations. Keeling has applied his modeling expertise to numerous outbreaks including the 2001 Foot-and-Mouth Outbreak, 2009 Swine flu pandemic, and most notably the COVID-19 pandemic. His work spans both human and animal diseases, covering pathogens such as influenza, measles, HPV, and various livestock infections. Analysis of Professor Keeling's publications reveals a strong emphasis on network theory applied to epidemiology, with significant contributions to understanding cattle movement networks, human social contact patterns, and spatial disease dynamics. His work consistently bridges theoretical mathematics with practical disease control applications, demonstrating how mathematical models can inform real-world policy decisions regarding vaccination strategies and outbreak control measures. Scientific Awards and Recognitions: Royal Society University Research Fellowship (1998-2006) Wellcome Trust Fellowship (1995-1998) Professor Keeling has been actively involved in advising government agencies during major disease outbreaks, including providing critical modeling input during the COVID-19 pandemic. His work on HPV vaccination cost-effectiveness directly influenced policy decisions regarding gender-neutral vaccination programs. He maintains an active research group focused on developing novel mathematical approaches to infectious disease modeling, with particular interest in household transmission dynamics and the impact of network structure on disease spread. The Zeeman Institute (SBIDER), which he directs, serves as a hub for interdisciplinary research connecting mathematical sciences with biological and medical applications.