Find Academic Supervisors

• Urban Planning
• Sustainable Urban Development
• Integrated Planning
• +6 more

Prof. Tanja Siems serves as head of the Chair of Urban Planning and Institute for Environmental Design (IUG) at the University of Wuppertal since 2009, leading research in sustainable urban transitions through interdisciplinary networks across Germany and internationally including Greece, UK, Belgium, Spain, Austria, and Portugal. Her educational background includes: Diploma in Architecture (Dipl.-Ing.) from University of Hanover (1992-1997) Doctorate (Dr.-Ing.) from University of Hanover (2002) Her research pioneers experimental urban approaches where planning functions as dynamic experimentation within contextual frameworks rather than predetermined outcomes. Core focus areas include: Mediating urban development through negotiation and participation in social-political processes Holistic urban renewal with innovative integral planning concepts Integration of solar energy systems and water-sensitive management in urban contexts Temporary urban structures as catalysts for transformation Her publication analysis (2014-2018) reveals consistent interdisciplinary methodology applied to urgent urban challenges, particularly solar energy implementation case studies and adaptive water resource management frameworks that bridge theoretical research with practical application. Major research initiatives demonstrate significant grant leadership: DBU Area Sufficiency Lab (2018-2020) IEA SHC Task 51 Solar Energy in Urban Context (2013-2017) as Subtask D head BMBF project 'The City as a Hydrological System in Transition' (2013-2016) The IUG functions as her primary research hub, facilitating experimental urban research that directly engages built environments through temporary interventions and participatory processes, avoiding purely theoretical approaches while maintaining rigorous academic standards.

Yao LiView profile

Associate Professor

• Applied Probability
• Applied Dynamical Systems
• Numerical Analysis
• +4 more

Yao Li is an Associate Professor in the Department of Mathematics and Statistics at the University of Massachusetts Amherst. He holds a Ph.D. in Mathematics from Georgia Institute of Technology (2012) and previously served as a Courant Instructor at New York University’s Courant Institute. His research focuses on applied probability, dynamical systems, numerical analysis, and their intersections with machine learning, neuroscience, and statistical mechanics. He has contributed to understanding stochastic dynamics, invariant measures, and the mathematical foundations of machine learning. His work bridges theoretical mathematics with interdisciplinary applications in biology, physics, and engineering. Education : Ph.D. in Mathematics, Georgia Institute of Technology, 2012 Courant Instructor, Courant Institute of Mathematical Sciences, New York University Research Interests : Dr. Li’s research spans applied probability, dynamical systems, and numerical analysis. Key areas include: Machine learning and data-driven computational methods Neuroscience modeling (spiking neural networks, cortical processing) Nonequilibrium statistical mechanics (thermodynamic laws, energy exchange models) Stochastic processes and their ergodic properties His work emphasizes rigorous mathematical analysis combined with numerical simulations, addressing challenges in high-dimensional stochastic systems. Teaching & Advising : He teaches advanced courses such as Numerical Analysis, Applied Math Project Seminar, and Statistics. While specific student advisees are not listed, his research group likely engages graduate students in interdisciplinary projects. His courses integrate theoretical concepts with real-world applications, reflecting his research focus on computational and applied methods. Labs/Teams : Dr. Li’s research is conducted within the Department of Mathematics and Statistics at UMass Amherst, collaborating with institutions like the Courant Institute and Georgia Tech. His work often involves interdisciplinary teams addressing problems at the intersection of mathematics, physics, and biology.

Gerhard WeberView profile

Professor

• Accessible Computing
• Assistive Technologies
• Human-Computer Interaction
• +4 more

Prof. Gerhard Weber holds the Chair in Human-Computer Interaction at Technische Universität Dresden, Germany. Previously, he served as Chair for Human-Centered Interfaces at Christian-Albrechts-Universität zu Kiel (2000–2007) and Professor for Operating Systems and Graphical User Interfaces at Harz University of Applied Sciences (1996–2000). His research focuses on accessible computing, assistive technologies, haptics, and multimodal interaction. Key projects include development of tactile charts (SVGPlott), robotic guidance systems (HapticRein), and indoor navigation solutions for visually impaired users. Current work explores voice interfaces for social robots, autism-inclusive technologies, and accessibility maturity models for higher education institutions. Over 70 publications span conferences like CHI, IEEE, and ACM, emphasizing practical applications in assistive tech. Education & Professional Journey: 2007–Present: Chair in Human-Computer Interaction, TU Dresden 2000–2007: Chair for Human-Centered Interfaces, Kiel University 1996–2000: Professor of Operating Systems and GUIs, Harz University Research Interests: Prof. Weber's work bridges theory and practice in accessibility, emphasizing tactile interfaces, inclusive design, and assistive robotics. Recent projects include: Mosaik : Enabling blind users to create and share graphics via audio-tactile tools Cloud4All : Personalized web accessibility solutions Range-IT : Real-time object detection for navigation aids Advising & Grants: Managed €3.2M in EU and national grants (2011–2020) Supervised 12+ graduate projects on assistive tech Labs & Teams: Leads TU Dresden's Human-Computer Interaction Lab, collaborating with industry partners like Siemens and rehabilitation centers to deploy assistive systems in real-world settings.

Fran Cabada-BlancoView profile

Senior Lecturer

• Marine Conservation
• Biodiversity Conservation
• Coral Reef Ecology
• +3 more

Dr. Fran Cabada-Blanco is a Senior Lecturer and Programme Lead (Post Graduate Taught) at the University of Portsmouth's Faculty of Science & Health, affiliated with the School of the Environment and Life Sciences. Her research focuses on marine biodiversity conservation, integrating ecological and socio-economic approaches. She holds a Doctorate in conservation and marine resource management, emphasizing rare species monitoring and technology-driven ecological assessments. Her teaching responsibilities include coordinating MSc courses in Applied Aquatic Biology, Science Communication, and Ecological Research Methods. She contributes to undergraduate modules in Marine Ecology, Biogeography, and Ecophysiology. Her research spans coral reef dynamics, socio-ecological systems, and endangered species conservation. Recent work includes mangrove restoration strategies, coral reef health assessments in Venezuela, and softshell turtle conservation in India. She collaborates globally, with publications in Science of the Total Environment , PLoS One , and Frontiers in Marine Science . Her contributions include over 17 peer-reviewed articles, focusing on marine biodiversity, conservation frameworks, and ecosystem resilience. She is affiliated with the Centre for Blue Governance, emphasizing interdisciplinary solutions for marine sustainability.

Marcelle FreimanView profile

Associate Professor

• Creative Writing
• Poetry
• Ekphrasis
• +4 more

Marcelle Freiman is an Associate Professor in the School of Humanities at Macquarie University, Australia. Her research focuses on Creative Writing pedagogy, theory, and practice, with specialties in ekphrasis, cognition in creative processes, and postcolonial creativity. She has published extensively in journals like TEXT , AXON , and New Writing , and authored three poetry collections: Spirit Level (2021), White Lines (Vertical) (2010), and Monkey's Wedding (1995). Her work has been recognized with awards including the ASAL Mary Gilmore Award (Highly Commended) and a shortlisting for the Newcastle Poetry Prize (2021). Freiman has supervised 14 PhD and 6 MRes theses, with two recent doctoral works receiving Vice-Chancellor's Commendations. She has led research projects like Transformations of Writing: A Cognitive Approach to Creative Writing Process, Practice, and Technologies (2015) and Creative Writing, Literature, Cognition: Analysing Jean Rhys’ Writing Practices (2019). Her interdisciplinary work bridges creative practice with cognitive theory, examining how extended mind frameworks apply to writing processes. Key research areas include the intersection of poetry and visual art (ekphrasis), postcolonial creativity, and the evolution of the sonnet form. She actively publishes in literary journals globally and has contributed book chapters to volumes such as the Cambridge Guide to the Sonnet . Current projects explore distributed cognition in creative processes and the role of material objects (e.g., Patrick White’s briefcase) in shaping literary practices.

Jennifer M MullinaxView profile

Associate Professor

• Wildlife Ecology
• Habitat Modeling
• Zoonotic Disease Dynamics
• +3 more

Dr. Jennifer M. Mullinax is an Associate Professor in the Department of Environmental Science & Technology at the University of Maryland, College Park, within the College of Agriculture and Natural Resources. She leads the Applied Spatial Wildlife Ecology Lab (ASWEL), focusing on understanding wildlife movement dynamics and their interactions with zoonotic disease transmission in human-wildlife interfaces. Her research integrates spatial ecology, epidemiology, and conservation biology to address critical issues such as avian influenza surveillance, habitat modeling for black bears, and urban wildlife management. Her expertise spans Wildlife Ecology , Habitat Modeling , and Zoonotic Disease Dynamics . Recent projects include assessing SARS-CoV-2 in wild cervidae, analyzing avian influenza spillover risks, and modeling deer movement in suburban environments. She emphasizes practical decision tools for wildlife disease management and habitat conservation, particularly in fragmented and urbanized landscapes. Dr. Mullinax’s work often addresses spatial epidemiology, such as studying tick-borne pathogens in white-tailed deer and evaluating historical park designs’ impacts on urban bird diversity. Her lab collaborates on conservation challenges like Louisiana black bear habitat prioritization and elk population viability analyses in Tennessee. Her research outputs highlight interdisciplinary approaches to biodiversity conservation, integrating ecological, social, and technological factors. Despite no listed awards, her contributions to wildlife health and spatial modeling are notable in environmental science circles.

Mark SteelView profile

Professor

• Bayesian Statistics
• Econometrics
• Statistical Theory
• +4 more

Mark Steel is a Professor of Statistics at the University of Warwick, Department of Statistics. He previously held Chairs in Economics at the University of Edinburgh (1998-2000) and in Statistics at the University of Kent (2000-2003). His research focuses on Bayesian statistics, including theoretical and applied work in distribution theory, Bayesian model averaging, spatial statistics, survival analysis, and stochastic volatility models. He has extensive editorial experience, serving as Editor-in-Chief of Bayesian Analysis (2022-2025) and as Head of the Statistics Department at Warwick (2014-2018). He is currently Chair-Elect of the Objective Bayes section of the International Society for Bayesian Analysis (ISBA). His research interests span Bayesian methodology, econometrics, and statistical theory, with applications to economics, survival analysis, and spatial data. He is affiliated with the Centre for Research in Statistical Methodology at Warwick and actively contributes to academic conferences. His work has been recognized through highly cited publications, including influential papers on Bayesian model averaging and non-Gaussian statistical models. Professional activities include editorial roles in top journals such as the Journal of Econometrics , Journal of the Royal Statistical Society , and Journal of Productivity Analysis . He collaborates with researchers globally and maintains an active profile on academic platforms like Google Scholar and ResearchGate.

Sorawoot SrisumaView profile

Associate Professor

• Econometrics
• Empirical Industrial Organizations
• Dynamic Discrete Choice Models
• +3 more

Sorawoot Srisuma is an Associate Professor in the Department of Economics at the National University of Singapore (NUS). His research focuses on econometrics and empirical industrial organization, with particular emphasis on structural estimation, dynamic discrete choice models, and market structure analysis. He holds a PhD from the London School of Economics. Key research areas include the analysis of subjective well-being data, nonparametric identification in economic models, and the welfare effects of market frictions. His work often combines advanced econometric techniques with applications in industrial organization and development economics. Recent publications explore topics such as search models with heterogeneous agents, spatial autoregressions with varying coefficients, and the impacts of mental health policies. He is affiliated with the Institute of Operations Research and Analytics (IORA), part of NUS’s Smart Nation Research Cluster. His teaching areas include advanced econometrics, and he has contributed to methodological advancements in structural estimation, particularly in dynamic games and Markov decision processes.

• AI for Sound
• Machine Learning
• Signal Processing
• +4 more

Mark Plumbley is a Professor of Signal Processing at the Centre for Vision, Speech and Signal Processing (CVSSP) within the School of Computer Science and Electronic Engineering at the University of Surrey. He holds an EPSRC Fellowship in 'AI for Sound' and has led major research initiatives, including the DCASE challenges. His work focuses on AI-driven analysis of acoustic scenes and events, with contributions to machine learning, audio source separation, and sparse representations. Previously, he was Director of the Centre for Digital Music at Queen Mary University of London and Head of the School of Computer Science at Surrey. Education: PhD in Neural Networks (1991). Academic roles include Professorships at King’s College London (1991–2002) and Queen Mary University of London (2002–2014). Research spans audio event detection, sound scene classification, and generative AI for audio synthesis. He leads projects like the EPSRC-funded 'Making Sense of Sounds' and 'Musical Audio Repurposing using Source Separation', and co-edited the Springer book on Computational Analysis of Sound Scenes and Events. Research Interests: AI for Sound: Machine learning applied to real-world audio analysis. Acoustic Scene and Event Recognition: Developing models for sound classification and localization. Generative Audio Models: Text-to-audio systems and diffusion models for sound synthesis. Healthcare Applications: Audio-based diagnostics and bioacoustic signal processing. Grants and Awards: EPSRC Fellowships, EU-funded networks (SpaRTaN, MacSeNet), and Fellowships from IET and IEEE. Notable awards include the IEEE Young Author Best Paper Award (co-authored with students) and leadership in the DCASE community. Labs and Collaborations: CVSSP at Surrey, collaborations with BBC R&D, and interdisciplinary projects on urban soundscapes and noise pollution (UK Acoustics Network Plus).

• Medical Geography
• Health Geography
• GIS Applications
• +7 more

Neng Wan is a Professor of Geography and Director of the Utah Geo-Health Lab at the University of Utah's School of Environment, Society & Sustainability. His work bridges geography, public health, and spatial analysis to address critical healthcare access and environmental health issues. Previously, he served as an Assistant Professor of Geography at the University of Utah from 2014-2019. Dr. Wan earned his BS in Geodesy from Wuhan University in 2003, followed by an MS in Cartography and GIS from the same institution in 2006. He completed his PhD in Geography from Texas State University-San Marcos in 2011. His research focuses on applying GIS and spatial methods to understand public health and environmental health problems. Current research projects include mHealth-supported health behavior research, access to healthcare, health disparities, and health consequences of pesticide exposure. His work demonstrates how spatial patterns influence health outcomes, particularly in emergency surgical care, telemedicine utilization, and pandemic responses. Dr. Wan's approach integrates advanced geospatial techniques with public health questions to reveal patterns that might otherwise remain hidden in traditional analyses. Analysis of his recent publications shows a consistent focus on healthcare access disparities, with particular attention to how social vulnerability, geography, and infrastructure impact health outcomes. His work increasingly incorporates network analysis and advanced spatial statistics to model complex healthcare systems. Recent studies examine telemedicine adoption patterns, emergency surgical care networks, and spatial patterns of discrimination during the pandemic. Presidential Scholar Award (2023, University of Utah) Dr. Wan has secured multiple grants from the National Institutes of Health (NIH), American Cancer Society, and other organizations to support his research on healthcare access disparities, mobile health interventions, and spatial epidemiology. His teaching includes advanced GIS methods, GIS & Public Health, and Health-Global Pandemics courses, where he trains students in applying spatial methods to health problems. As Director of the Utah Geo-Health Lab, Dr. Wan leads a research team that develops and applies innovative geospatial methods to address pressing public health challenges, particularly those related to health disparities and access to care. The lab's work has direct implications for healthcare system design, resource allocation, and policy interventions aimed at reducing geographic health disparities.

Roger BensonView profile

Research Fellow

• Palaeontology
• Evolutionary Biology
• Phylogenetics
• +4 more

Roger Benson is a Visiting Fellow at the University of Oxford specializing in paleontology and evolutionary biology. His research integrates fossil discovery, 3D morphometric analysis, and quantitative macroevolutionary studies to investigate vertebrate evolution across deep time, with particular expertise in dinosaurs, marine reptiles, and early synapsids. His primary research domains include: Phylogenetic Paleobiology : Resolving evolutionary relationships in key vertebrate clades using cladistic methods and fossil data Macroevolutionary Dynamics : Analyzing large-scale patterns of morphological diversity and species richness over 100+ million years Earth-Life Interactions : Quantifying links between environmental change, rock record biases, and biodiversity patterns using multivariate statistics Extant-Fossil Integration : Applying anatomical datasets from living species to test ecological hypotheses about extinct organisms Recent publications reveal consistent methodological innovation through synchrotron imaging, computational morphometrics, and big-data approaches to evolutionary questions. His work demonstrates how quantitative analysis of anatomical variation can resolve long-standing debates in vertebrate phylogeny while revealing fundamental principles of adaptive radiation. Though no specific awards are documented in the source material, Benson's research impact is evidenced by publications in premier journals including Nature, Science, and PNAS, reflecting significant contributions to evolutionary science. Benson actively mentors graduate students and leads international collaborations, as demonstrated by multi-institutional projects on Permian-Triassic extinction dynamics and dinosaur sensory evolution. His research group bridges field paleontology with computational biology to address fundamental questions in vertebrate evolution. Based within Oxford's Earth Sciences framework, his work leverages advanced imaging facilities and computational resources for fossil analysis and evolutionary modeling, contributing to the university's leadership in paleobiological research.

Jens Rainer WisselView profile

Professor

• Social Policy
• Materialist State Theory
• European Integration
• +12 more

Prof. Dr. Jens Wissel is a Professor at the Frankfurt University of Applied Sciences , College of Social Work and Health. His work focuses on materialist state theory, social policy, and critical analyses of European integration, welfare state transformation, and neoliberal crisis dynamics. Current research projects include the Staatsprojekt Europa initiative. Affiliated with the Frankfurt Institute for Social Research ( Institut für Sozialforschung ) and various academic associations like the Association for Critical Social Research (AkG) and German Sociological Association (DGS) . Research Interests Materialist State Theory: Analyzing the European Union as a state project, neoliberal transformations, and authoritarian governance. Welfare State Critique: Addressing precarious social situations, care work crisis, and alternative welfare concepts. Migration and Borders: Investigating the EU's border regime, Frontex, and geopolitical implications. His recent publications focus on European crisis and disintegration, with keywords spanning Political Economy , Migration Policy , and Critical State Theory . He is also engaged in practical activism and editorial work for www.links-netz.de .

Dirk JunkerView profile

Professor

• Urban and Open Space Planning
• European City Morphology
• Public Space Design
• +3 more

Prof. Dirk Junker is a Professor at the Osnabrück University of Applied Sciences , Faculty of Agricultural Sciences and Landscape Architecture. He serves as Academic Coordinator for International Study Projects and Head of the Eye-Tracking Laboratory. Urban & Open Space Planning European City Morphology Perception-Based Design Research Focus: His work explores the intersection of urban design and public space through the lenses of European city patterns, modernist ideals, and sensory perception. Key themes include: City-body human spatial behavior Phenomenology of streets Intuitive planning methods Domestication of urban spaces Publications address topics like urban light rituals, post-war city transformations, and experimental housing models. He investigates the dual relationship between landscape and city, emphasizing the courtyard as a foundational urban element. Engagements: Co-founder of the Council for European Urbanism (Germany), Vice-Chair of the Friends of the Dominikanerkirche Art Hall, and advocate for alternative housing models through DAKSBAU cooperative in Dessau.

Philipp LensingView profile

Professor

• Virtual Reality
• Augmented Reality
• Mixed Reality
• +5 more

Prof. Dr.-Ing. Philipp Lensing serves as a Professor in the Faculty of Engineering and Computer Science at Osnabrück University of Applied Sciences. His academic work focuses on cutting-edge developments in virtual and augmented reality systems, computer graphics, and game programming. His research interests span Virtual Reality , Augmented Reality , Mixed Reality , Game Programming , Computer Graphics , and Natural User Interfaces . Prof. Lensing has pioneered work in real-time global illumination techniques, avatar calibration systems, and the integration of virtual content with real environments. His research has been applied across diverse domains including landscape planning, physics education, medical rehabilitation, and industrial engineering. Prof. Lensing's recent publications reveal a strong trend toward practical applications of VR/AR technologies in scientific, educational, and industrial contexts. His work increasingly focuses on multimodal interaction, haptic feedback systems, and the integration of VR with complex scientific instrumentation like scanning probe microscopy. He has supervised numerous student projects focused on VR/AR applications, game development, and 3D modeling. His teaching includes courses on Computer Graphics, 3D Game Programming, Virtual and Augmented Realities, and 3D Modeling and Animation. Prof. Lensing leads several research projects including GROWTH (funded by BMBF), VRnano (BMBF), VRFlow Suite, VR-Physio-BOX, and MoDal-MR, all exploring innovative applications of immersive technologies in various practical contexts.

Amitabh MishraView profile

Adjunct Professor

• Computer-Communication Networks
• Wireless Networks
• Network Security
• +5 more

Amitabh Mishra is an Adjunct Professor at the University of Delaware. His research focuses on three core areas: computer-communication networks (wireless architectures, cross-layer design, mobile cloud computing), network performance analysis (stochastic models, numerical optimizations), and network security (vulnerability assessments, authentication protocols). He has contributed to interdisciplinary fields including IoT security, smart healthcare frameworks, and socio-technical systems analysis. His work spans technical domains like wireless sensor networks, tactical network management, and quantum dot material studies, alongside applied research in tourism economics, healthcare data analytics, and educational technology. Notable contributions include frameworks for energy-efficient physiological monitoring, secure IoT configurations, and machine learning-driven security protocols. Recent research highlights include: Developing secure mobile cloud computing paradigms Modeling Multipath TCP capacity bounds using stochastic theory Investigating AI applications for deepfake ethics and tourism marketing His publications span technical journals in computer networks, medical IoT systems, and interdisciplinary studies in cultural tourism and climate change resilience.