Spatial-temporal Analysis Professors and Supervisors | ApplySharif

Find Academic Supervisors

Find and connect with academic supervisors, professors, and scholars for your research journey.

Showing 721-735 of 10,098 supervisors

Profile data may be stale. It is sourced from public faculty pages.

Grzegorz KiarszysView profile

Assistant Professor

University of SzczecinPoland

Dr. Grzegorz Kiarszys serves as Assistant Professor in the Department of Archaeology within the Institute of History at the University of Szczecin, a position he has held since October 2011. His academic journey began with archaeology studies at Adam Mickiewicz University in Poznań (1999-2004), where he earned his Master's degree under Prof. Danuta Minta-Tworzowska, followed by doctoral research completed in 2010 under Prof. Włodzimierz Rączkowski. His educational background includes: Master of Archaeology, Adam Mickiewicz University (2004) PhD in History, Adam Mickiewicz University (2010) Kiarszys specializes in archaeological methodology with emphasis on conflict archaeology, landscape archaeology, and advanced geospatial technologies. His research integrates social theories with non-invasive methods including GIS, airborne laser scanning (LiDAR), aerial photography, and photogrammetry to analyze spatial organization and landscape transformation. His work particularly focuses on medieval and post-conflict landscapes in Poland, examining how cultural and political forces shape spatial perception and material heritage. This interdisciplinary approach bridges traditional archaeology with digital humanities and heritage conservation. Analysis of his 15 most recent publications reveals consistent focus on landscape palimpsests, aerial perspective limitations, and conflict-related heritage. Key trends include methodological innovation in point cloud analysis, critical examination of cartographic representations, and theoretical exploration of time-space relationships in archaeological contexts. His work increasingly addresses Cold War heritage and post-WWII landscape transformations. Scientific recognition includes: Individual award from the Minister of Science and Higher Education (2016) for monograph on Górowski County defensive settlements His grant leadership demonstrates significant research impact: the 2014-2015 Ministry of Culture-funded project on defensive settlements in Górowski County established new methodological frameworks, while the 2018-2019 project on Soviet nuclear warhead storage sites pioneers archaeological perspectives on Cold War heritage. These projects involve international collaborations with researchers from Serbia, UK, and Ireland, often incorporating student fieldwork components. Kiarszys actively participates in rescue excavations across Poland and has contributed to major infrastructure projects including Copenhagen Metro archaeological surveys. Though not explicitly mentioning dedicated labs, his work integrates with student research groups including the Student Archaeological Club and Media and Civilization Research Club at the University of Szczecin, where he supervises field methodology and spatial analysis components.

Official University Profile

Jan TheeuwesView profile

Professor

ISPA - University Institute of Psychological, Social, and Life SciencesPortugal

Jan Theeuwes is a full Professor and current Head of Department at Vrije Universiteit Amsterdam's Department of Cognitive Psychology. With over 250 peer-reviewed publications, he leads research in visual attention, statistical learning, and distractor suppression mechanisms. His work bridges fundamental cognitive science with practical applications in road design and human factors. His educational background includes: BSc in Mechanical Engineering (1981) BSc and MSc in Experimental Psychology with highest honors (cum laude) from Tilburg University (1987) PhD from Vrije Universiteit with highest honors (1992) Theeuwes' research focuses on fundamental knowledge acquisition regarding perception, attention, memory, and emotion using diverse methodologies including behavioral measurements, eye tracking, fMRI, psychophysiological recordings, patient studies, and computational modeling. His specific contributions span attentional and oculomotor capture, working memory, multimodal integration, remapping, face perception, visual search, emotion processing, unconscious processing, the attentional blink, reward processing, and applied road design research. His recent work demonstrates how statistical learning shapes attentional selection by creating predictive models of where and when to expect relevant information. Analysis of his recent publications reveals a strong focus on the neural and behavioral mechanisms of learned distractor suppression, with particular emphasis on how statistical regularities in the environment shape attentional priority maps. His research increasingly integrates electrophysiological methods with behavioral paradigms to uncover the temporal dynamics of attentional selection and suppression processes. His notable scientific achievements include: Election to the Royal Dutch Academy of Science (KNAW) in 2010 Receiving the first Bertelson Award for outstanding psychological research from the European Society for Cognitive Psychology in 2001 Serving as president of ESCOP (European Society for Cognitive Psychology) from 2016 to 2018 Theeuwes serves as principal advisor to the Dutch Department of Transportation (Rijkswaterstaat) regarding road design and signing. In 2023, he co-founded Attention Architects with two former PhD students, a company applying eye-tracking research to practical settings. His work has received substantial research funding supporting his investigations into attentional mechanisms and their real-world applications. Theeuwes has established collaborations across multiple institutions and mentored numerous researchers who have gone on to establish their own careers in cognitive science. He leads the Cognition Team at Vrije Universiteit Amsterdam, which investigates fundamental attentional processes using cutting-edge methodologies. The team maintains strong connections with applied research settings through projects with government agencies and industry partners, particularly in transportation safety. Their current work focuses on how statistical learning dynamically shapes attentional selection in complex visual environments.

Official University Profile

Amin MesmoudiView profile

Associate Professor

National Graduate School of Mechanics and AerotechnicsFrance

Amin Mesmoudi serves as Associate Professor in Data Engineering at the University of Poitiers' IUT (Institut Universitaire de Technologie), with dual laboratory affiliations at LIAS-ENSIP (Poitiers campus) and LIAS-ISAE-ENSMA (Chasseneuil campus). His research bridges theoretical database systems with practical large-scale data engineering challenges, particularly in semantic web technologies and machine learning applications. The laboratory maintains physical presences at both ENSIP's Bâtiment B25 in Poitiers and ISAE-ENSMA's Téléport 2 facility in Chasseneuil, facilitating cross-institutional collaboration. Mesmoudi's research program centers on scalable data management systems, with three interconnected pillars: (1) RDF and graph-based query optimization techniques for billion-triple datasets, (2) machine learning integration for spatial query performance and anomaly detection, and (3) explainability frameworks for complex black-box models. His work demonstrates consistent evolution from foundational database systems (2011-2016) toward contemporary AI-driven data engineering, particularly evident in his 2023-2025 publications on temporal dependency preservation and co-selection explainability. The Data Engineering team within LIAS laboratory provides the primary research context for these investigations. Publication analysis reveals strong methodological continuity in addressing scalability bottlenecks across database paradigms. Early work focused on SQL-on-MapReduce benchmarking for astronomy databases (2015-2016), transitioning to specialized RDF processing frameworks (2019-2021), and culminating in current hybrid approaches combining temporal modeling with machine learning (2023-2025). Key technical themes include fragmentation strategies for distributed data, optimizer feedback mechanisms, and graph-based query acceleration - all targeting real-world performance constraints in big data environments. As a core member of LIAS laboratory's Data Engineering team, Mesmoudi contributes to France's national research infrastructure in computer science and automation systems. The laboratory's dual-university structure enables unique cross-pollination between University of Poitiers' academic programs and ISAE-ENSMA's engineering specialization, with Mesmoudi's work exemplifying this synergy through applications spanning astronomy databases to wireless sensor networks.

Official University Profile

Ann FekeView profile

Assistant Professor

Otterbein UniversityUnited States

Ann Feke serves as an Assistant Professor in the Department of Biology & Earth Science at Otterbein University, where she contributes to interdisciplinary research bridging biological and geological sciences. Her academic foundation includes advanced degrees from prestigious institutions, positioning her at the forefront of environmental studies. Education Ph.D., Yale University, 2019 M.S., Yale University, 2015 B.A., Princeton University, 2013 Her research spans critical areas including ecosystem dynamics, geological history, and environmental change. With expertise in both biological systems and earth sciences, she investigates complex interactions between living organisms and planetary processes, particularly focusing on long-term ecological patterns and sustainability challenges. This dual-disciplinary approach enables comprehensive analysis of environmental phenomena across temporal and spatial scales. Scientific Awards No scientific awards were explicitly documented in the source material. Advising and Grants While specific student mentorship details and grant funding information were not provided in the available documentation, her academic position suggests active involvement in guiding undergraduate research within Otterbein's biology and earth science programs. As a junior faculty member, she likely participates in securing research funding through university channels and external scientific organizations. Laboratory and Research Groups Although specific laboratory affiliations weren't detailed, her departmental placement indicates potential involvement with Otterbein's environmental research facilities and field study programs focused on local ecosystems and geological formations.

Official University Profile

Luke MooreView profile

Assistant Professor

Boston UniversityUnited States

Luke Moore is a Research Assistant Professor of Astronomy at Boston University's Department of Astronomy, with office CAS 402. His research focuses on planetary atmospheres and their interactions with the space environment, particularly the upper atmospheres of giant planets. He is affiliated with the Center for Space Physics at Boston University. Moore earned his BS from the University of Arizona and completed his MA and Ph.D. at Boston University. His academic background has positioned him as a leading researcher in planetary atmospheric science, with expertise spanning observational techniques, computational modeling, and instrument development. Moore's primary research interests include: Modeling and observations of planetary atmospheres, with emphasis on giant planets Upper atmospheric processes and their coupling with the space environment Development and application of computer models for tenuous plasmas in planetary upper atmospheres Ground-based and space-based observational techniques for planetary science H3+ ionosphere studies across multiple planets Ring-planet interactions, particularly Saturn's ring rain phenomenon His extensive publication record demonstrates significant contributions to understanding planetary atmospheres throughout the solar system. Recent work shows a strong focus on Jupiter and Saturn using data from Juno and Cassini missions, with emerging research on Uranus and Neptune utilizing JWST observations. A key research trend involves the connection between ring systems and planetary atmospheres, as well as the role of auroral processes in heating upper atmospheres across the giant planets. Moore is actively involved in instrument development as a key contributor to the Rapid Imaging Planetary Spectrograph (RIPS). This innovative instrument enables high-quality simultaneous spectra and images of extended objects through 'lucky imaging' techniques. RIPS has been successfully deployed at multiple observatories including the Perkins telescope in Flagstaff, Arizona and the 3.67m AEOS telescope, where it has been used to study Mercury's exosphere, the Moon, and Jupiter's moons. His instrument work represents an important bridge between theoretical modeling and observational planetary science.

Official University Profile

Pascal HitzlerView profile

Professor

Dresden University of TechnologyGermany

Pascal Hitzler is a University Distinguished Professor and holds the endowed Lloyd T. Smith Creativity in Engineering Chair at Kansas State University's Department of Computer Science, Carl R. Ice College of Engineering. He directs the Center for Artificial Intelligence and Data Science (CAIDS) and the Institute for Digital Agriculture and Advanced Analytics (ID3A). Previously, he held roles at Wright State University, Karlsruhe Institute of Technology, and TU Dresden. His research focuses on neuro-symbolic AI, semantic web technologies, knowledge graphs, and ontology engineering. Education: PhD in Mathematics (2001, University College Cork), Diplom in Mathematics (1998, University of Tübingen). Academic achievements include over 400 publications, founding editor roles for journals like Neurosymbolic Artificial Intelligence , and leadership in organizations like the Neural-Symbolic Learning and Reasoning Association. Research interests include AI explainability, knowledge representation, and interdisciplinary applications of semantic technologies. He leads the DaSe Lab for Data Semantics, advancing projects like the KnowWhereGraph and Enslaved.org Hub Knowledge Graph. His work bridges symbolic AI with neural networks, emphasizing practical applications in agriculture, environmental science, and historical data preservation. Grants and collaborations span academic, industrial, and international partners. He has advised numerous students and researchers, contributing to both theoretical advancements and real-world semantic systems deployments.

Official University Profile

Martin BicherView profile

Researcher

Vienna University of TechnologyAustria

Martin Bicher is a PostDoc Researcher at TU Wien, affiliated with the Department of Data Science under the Faculty of Informatics. He specializes in agent-based simulation, epidemiological modeling, and decision support systems for public health crises. His work focuses on optimizing resource allocation, vaccination strategies, and policy evaluation during pandemics. He teaches courses such as Modeling and Simulation (194.076), Modelling and Simulation in Health Technology Assessment (194.094), and Advanced Modeling and Simulation (194.056). His research is supported by projects like DynOptTestControl (2022–2026) and KLIPHA-COVID19 (2020–2021). Key research interests include agent-based modeling frameworks, integration of machine learning into simulation systems, and multi-criteria decision support for public health interventions. His publications analyze pandemic response strategies, vaccination prioritization, and the impact of environmental factors on disease spread. Recent work includes developing mathematical models for equitable disease testing, simulating vaccination strategies under supply uncertainties, and evaluating contact-tracing policies. He collaborates with interdisciplinary teams to address challenges in healthcare resource optimization and policy design. Advising two students, Bicher has mentored theses on railway simulation and delay modeling. His contributions to pandemic decision support have been featured in high-impact journals like Omega and PLoS ONE.

Official University Profile

Yannis TheodoridisView profile

Professor

University of PiraeusGreece

Yannis Theodoridis is a Professor at the Department of Informatics, University of Piraeus, leading the Information Systems Laboratory (InfoLab). He specializes in spatiotemporal databases, mobility analytics, and maritime data science. His research focuses on trajectory analysis, location-based services, and big data frameworks for transportation and maritime surveillance. Key projects include the MOD (Moving Objects Databases) initiative, the ARGOS framework for real-time trajectory prediction, and contributions to the HERMES trajectory database engine. He has advised 7 PhD students and co-authored numerous papers in IEEE and ACM venues. His work addresses challenges like vessel collision risk assessment, urban mobility optimization, and maritime event detection. He serves on the editorial board of the International Journal of Data Warehousing and Mining and contributes to conferences like PCI and ECML PKDD. His labs emphasize interdisciplinary approaches to mobility data science, integrating machine learning with domain-specific analytics.

Official University Profile

Noémie JeanninView profile

Researcher

Swiss Federal Institute of Technology in LausanneSwitzerland

Noémie Jeannin is a doctoral assistant and PhD student at École polytechnique fédérale de Lausanne (EPFL), affiliated with the Laboratory of Photovoltaics and Thin Films (PV-LAB) within the School of Engineering and the Institute of Microengineering. She is a member of the Energy Doctoral Program (EDOC-EDEY) and serves as the doctoral student representative, contributing to academic governance. Her work is centered on sustainable energy systems, particularly the integration of renewable energy and transportation electrification. Her research focuses on the coupling of photovoltaic (PV) energy production with electric vehicle (EV) charging, using advanced geospatial modeling to quantify energy demand and mobility habits across Europe. She develops methodologies to assess charging flexibility and infrastructure needs, contributing to the European OPENGIS4ET project and the development of the Citiwatts open-source platform for energy transition planning. Her work spans disciplines including energy systems, smart grids, GIS, and sustainable urban mobility. The trends in her publications reveal a strong emphasis on spatial and temporal modeling of energy demand, policy-relevant analysis of electricity tariffs, and innovative solutions for grid integration of distributed energy resources. Her recent articles highlight practical applications in urban energy planning, EV charging behavior, and cost-effective alternatives to grid upgrades. Noémie is actively involved in teaching as an assistant for the course 'Energy Supply Economics and Transition (ENG-410)' and participates in academic service through her representative role. She collaborates with researchers such as A. Pena-Bello, C. Ballif, and N. Wyrsch, and her work is supported by European and institutional research initiatives. She maintains professional profiles on ORCID, Google Scholar, and LinkedIn, and her primary contact is via email at noemie.jeannin@epfl.ch. Her office is located at MC A2 208, EPFL.

Official University Profile

Jack ChenView profile

Professor

University of VirginiaUnited States

Jack Chen is a Professor of Chinese Literature and Department Chair at the University of Virginia's Department of East Asian Languages, Literatures and Cultures, with additional affiliation to the Institute of the Humanities and Global Cultures. His office is located in Wilson Hall, where he holds weekly office hours. Previously, he taught at UCLA and Wellesley College. Education BA in Literature, Yale University MA in Comparative Literature, University of Michigan PhD in Comparative Literature, Harvard University Research Focus Chen specializes in classical and medieval Chinese literature (100-900 CE), particularly the Tang Dynasty. His interdisciplinary work bridges traditional literary analysis with computational methods, exploring: The history of information management in imperial China Gossip and anecdote as cultural artifacts Digital humanities approaches to East Asian texts Ghost poetry and supernatural narratives Current projects include developing computational tools for classical Chinese corpora and studying early medieval anecdotal collections. Publication Trends Recent articles (2022-2024) demonstrate three key themes: 1) Integration of digital humanities with classical Chinese textual analysis, 2) Re-examination of literary history through spatial/temporal frameworks, and 3) Genre studies of Tang Dynasty narratives like Chuanqi tales. Computational methods feature prominently across publications. Professional Activities No awards, grants, or supervised students are mentioned in available sources. His departmental leadership includes curriculum development for Chinese Language & Literature and East Asian Studies programs.

Official University Profile

Christian TimmererView profile

Professor

University of KlagenfurtAustria

Christian Timmerer is a Professor at the Institute of Information Technology, Alpen-Adria-Universität Klagenfurt. His research focuses on adaptive video streaming , energy efficiency , MPEG standardization , and quality of experience (QoE) , with significant contributions to HTTP Adaptive Streaming (HAS), multi-codec optimization, and immersive media systems. Email: christian.timmerer@aau.at Office Hours: Monday 3:00-4:00 PM (by appointment) Projects: CD-Labor ATHENA, GAIA, SPIRIT His research integrates machine learning and generative AI to enhance video encoding, super-resolution, and voice dubbing, while prioritizing sustainability through energy-aware algorithms and open-source tools like GREEM and VEED. Current work emphasizes latency reduction and dynamic bitrate adaptation in live streaming environments. Recent publications address VVC optimization , multi-resolution encoding , and perceptual quality modeling , reflecting interdisciplinary efforts in networking , computer vision , and human-computer interaction . Awards include leading funded projects on adaptive streaming and green video systems.

Official University Profile

Michael ChangView profile

Senior Lecturer

Macquarie UniversityAustralia

Dr. Michael Chang is a Senior Lecturer and Program Director of Spatial Information Sciences at Macquarie University's School of Natural Sciences. He specializes in remote sensing and GIS applications for environmental monitoring, including vegetation dynamics, land use change, and disaster mitigation. His affiliations include the Data Horizons, Smart Green Cities, and Lifespan Health and Wellbeing Research Centres. Research Interests: Earth observation data integration 3D modeling and change detection Biodiversity conservation and wetland monitoring Spatial analysis of multilingualism and transport planning Awards: 2017 BHERT Award for Outstanding Collaboration 2019 Faculty Teaching Excellence Award 2017 Research Excellence Recognition Projects: Leads multi-sensor fusion initiatives for vegetation monitoring and collaborates on disaster resilience frameworks. Active in interdisciplinary work spanning ecology, geophysics, and urban planning. Labs/Teams: Core member of Macquarie's Planetary Research Centre and collaborates internationally on port city resilience projects in Africa.

Official University Profile

Xinfeng GaoView profile

Professor

University of VirginiaUnited States

Xinfeng Gao is a Professor of Mechanical & Aerospace Engineering at the University of Virginia, leading the CFD & Propulsion Laboratory. She specializes in high-performance computing (HPC) algorithms for fluid dynamics, combustion, and plasma systems. Her work integrates numerical methods, parallel computing, and data analytics to address complex engineering challenges. Prior to UVA, she held a professorship at Colorado State University from 2011 to 2023, establishing the CFD and Propulsion Lab there. She earned her PhD in Aerospace Engineering from the University of Toronto in 2008, followed by postdoctoral research at Lawrence Berkeley National Laboratory (LBNL). Her research focuses on three core areas: high-order CFD methods for high-speed flows, parallel adaptive algorithms for spatial and temporal domains, and HPC combined with data analytics for aerospace design optimizations. Applications include reduced-order models for turbulence, propulsion device innovation, and quantum computing for fluid simulations. She collaborates with national labs (LLNL, LBNL), aerospace industries (Boeing), and software companies to translate research into practical solutions. Her recent grants include the NSF Mid-Career Advancement Award (2022–2025) for CFD+DA integration in commercial tools and UVA’s RIG Award (2025–2026) for gas-surface material studies under extreme conditions. She teaches MAE 6720 (Computational Fluid Dynamics) and MAE 3420 (Computational Methods). Key awards include the 2023 University of Virginia Research Achievement Award and the 2022 NSF MCA Award. Her work emphasizes cross-disciplinary innovation, blending computational science with experimental validation through initiatives like the Gas-Surface-Materials RIG project, involving experts from MAE, MSE, Chemistry, and Physics.

Official University Profile

Callum AtkinsonView profile

Senior Lecturer

Monash UniversityAustralia

Dr. Callum Atkinson is a Senior Lecturer in Mechanical & Aerospace Engineering at Monash University, specializing in turbulent flow dynamics and experimental fluid mechanics. His research focuses on understanding and controlling turbulent shear flows in pipes, boundary layers, jets, and rocket engines, combining high-fidelity numerical simulations with advanced optical diagnostics like holographic PIV and tomographic techniques. He has developed novel methodologies for 3D velocity and density measurements, contributing to drag reduction studies, heat transfer analysis, and flow control in aerospace and mechanical systems. His work addresses UN Sustainable Development Goals related to energy efficiency and sustainable transport. Current roles include leading collaborative projects on adverse pressure gradient boundary layers and flow mixing, and he actively participates in peer review for journals like Journal of Fluid Mechanics and Physics of Fluids . He supervises PhD students in topics such as hybrid rocket engine optimization and turbulence modeling, leveraging Monash's engineering research infrastructure. Notable contributions include one of the world's largest adverse pressure gradient simulations and pioneering volumetric flow visualization techniques. His experimental toolkit includes laser diagnostics, tomographic PIV, and background-oriented schlieren systems. Recent work has explored superhydrophobic surface drag reduction, thermal jet behavior, and the dynamics of high-speed jet flows. He maintains a strong focus on bridging experimental and computational fluid dynamics to advance fundamental understanding and industrial applications.

Official University Profile

Ellen RobeyView profile

Professor

University of California, BerkeleyUnited States

Ellen Robey is a Professor of Immunology and Molecular Medicine at the University of California, Berkeley, serving as Division Head of the IMM Division. Her research focuses on signaling pathways controlling T cell fate decisions, using mouse models to study T cell development and immune responses, including mechanisms of thymic selection and CD4/CD8 lineage commitment. She employs 2-photon imaging to analyze T cell behavior in situ, particularly during parasitic infections like Toxoplasma gondii . Robey’s lab investigates how self-reactivity influences thymic selection timing and develops collaborative projects combining multi-omics approaches with spatial and temporal analyses of thymic development. Key research areas include understanding negative/positive selection mechanisms in the thymus, immune response dynamics during chronic infections, and the role of unconventional T cell subsets recognizing non-classical MHC molecules. The lab has pioneered studies on Qa1-restricted T cells and their role in host defense against pathogens. Her work bridges basic immunology with cutting-edge imaging and systems biology tools to unravel complex immune processes. Lab collaborations include projects with Nir Yosef and Aaron Streets to create high-resolution thymic developmental maps using single-cell multi-omics. Current efforts also explore how ERAAP downregulation alters antigen presentation, influencing T cell responses. The Robey Lab emphasizes diversity in its team, fostering an inclusive environment for scientific innovation.

Official University Profile