جست‌وجوی استاد و پژوهشگر

• Immersive Technologies
• Web Technologies
• Software Development
• +۳ مورد دیگر

Sven Mariën is a Lecturer in Web Technologies at AP University College Antwerp, specializing in the Electronics-ICT educational program. Previously, he worked as a software designer/analyst at Agfa-Gevaert, contributing to healthcare and industrial inkjet printer software development. He leads technical research in immersive technologies through projects like Show & Tell! , Virtual Relief , and Let's Go Virtual , focusing on pain management, user experience enhancement, and innovative storytelling. His expertise spans software engineering, web technologies, and interdisciplinary applications of immersive systems. Education: Industrial Engineering degree from AP University College Antwerp Research Interests: Development of immersive technologies for healthcare and user engagement Integration of visual and narrative techniques in smart objects Web-based solutions for industrial and healthcare applications Projects (2017–2023): Show & Tell! (2017–2019): Enhanced immersive storytelling via smart object combinations Virtual Relief (2019–2023): Pain management using immersive tech Let's Go Virtual (2019–2022): Immersive observational and reactive systems Professional Experience: Agfa-Gevaert: Software development for healthcare and industrial inkjet systems AP University College: Teaching web technologies since 2017

• Floristics
• Herbarium Curation
• Plant Conservation
• +۴ مورد دیگر

Joey T. Shaw is a Professor at the University of Tennessee at Chattanooga, specializing in plant systematics and conservation biology. His work bridges traditional herbarium curation with modern molecular techniques and digital biodiversity informatics. PhD in Botany (Molecular Systematics and Chloroplast Evolution), University of Tennessee, Knoxville (2005) MS in Botany (Floristics, Herbarium Curation, Biodiversity Inventories), University of Tennessee, Knoxville (2001) BS in Biology, University of Tennessee at Chattanooga (1998) Shaw's research integrates floristic studies of the Southeastern United States with advanced molecular systematics and phylogeographic analysis . His lab focuses on: Baseline floristic data for conservation planning Chloroplast genome evolution in Prunus species Digitization of over 1 million Tennessee herbarium specimens Conservation metrics for rare and invasive plant species Public outreach through the Spring Wildflower Pilgrimage Recent publications highlight his leadership in: Digital herbarium workflows using AI/ML models Conservation status modeling for Tennessee flora Phylogenetic resolution in angiosperms Collaborative field-to-database research frameworks Scientific Awards : 2015 Elizabeth Ann Bartholomew Award Shaw actively mentors students through: Field botany programs Molecular systematics lab work Thesis supervision in plant ecology Outreach education initiatives

• Applied Linguistics
• Second Language Acquisition
• TESOL
• +۳ مورد دیگر

Dr. Derya Kulavuz-Onal is an Associate Professor in the Department of English at Salisbury University. She specializes in applied linguistics, second language acquisition, and TESOL, with a focus on technology integration in language education and online communities of practice. Her work bridges educational technology, sociolinguistics, and qualitative research methodologies. Dr. Kulavuz-Onal holds a PhD in Second Language Acquisition and Instructional Technology from the University of South Florida (2013), an MA in Foreign Language Education from Boğaziçi University (2006), and a BA in Foreign Language Education from the same institution (2001). Her research explores translingual practices, teacher professional development, and the role of digital tools in language pedagogy. Her publications span topics such as ChatGPT's impact on academic performance, global English teacher communities, and intercultural exchanges via telecollaboration. She has contributed to methodological frameworks for netnography and coding digital communication in research contexts. Her scholarship emphasizes practical applications of technology while addressing ethical and pedagogical challenges. Dr. Kulavuz-Onal is actively involved in professional learning activities and has presented on topics including online community dynamics and teacher well-being. Her work reflects a commitment to bridging theory and practice in language education through innovative methodologies and global collaborations.

Stephan Thoberمشاهده پروفایل

پژوهشگر

• Hydrology
• Climate Modeling
• Environmental Informatics
• +۳ مورد دیگر

Dr. Stephan Thober is a Group Leader of the HydroScientific Software Development (HSD) group at the Helmholtz Centre for Environmental Research - UFZ in Leipzig. He holds a PhD in Geosciences from Friedrich Schiller University of Jena and a Diploma in Mathematics from the University of Greifswald. His work focuses on advancing computational hydrosystems, particularly through the development and maintenance of the mesoscale Hydrologic Model (mHM). He is also a visiting scientist at the European Centre for Medium-Range Weather Forecasts (ECMWF) and leads the DestinE Climate Adaptation Digital Twin project. His research interests include hydrologic process representation, multiscale parameter regionalization, and climate change impacts on water resources. Thober has led projects such as HOKLIM, investigating high-resolution climate projections for Europe, and contributed to the Ulysses project for global hydrological forecasting. His expertise spans statistical downscaling, land-surface modeling, and drought analysis. He has secured over €4 million in funding for initiatives like calibration of ECLand models and hydrological seasonal prediction services. His work emphasizes interdisciplinary applications, integrating environmental informatics and climate adaptation strategies. Key achievements include developing drought indices for future climates, improving reservoir modeling techniques, and advancing metadata practices for simulation workflows. His team’s contributions to tools like HydroRiver and the mHM model have enhanced global hydrological understanding and climate resilience planning.

Hanspeter Schaubمشاهده پروفایل

استاد

• Astrodynamics
• Spacecraft Dynamics and Control
• Electrostatic Spacecraft Actuation
• +۷ مورد دیگر

Hanspeter Schaub is a Distinguished Professor and Department Chair of Aerospace Engineering Sciences at the University of Colorado Boulder, affiliated with the College of Engineering and Applied Science. He holds the Schaden Leadership Chair and the Glenn Murphy Endowed Chair. His academic career includes roles at Virginia Tech and Texas A&M University. Education: PhD (1998), M.S. (1994), and B.S. (1992) in Aerospace Engineering from Texas A&M University. He also completed a Matura Typus C in Switzerland. Research focuses on orbital mechanics, attitude dynamics, Coulomb spacecraft actuation, space debris removal, and autonomous systems. Notable projects include the Basilisk simulation framework and the Autonomous Vehicle Systems (AVS) Lab. Awards include National Academy of Engineering membership, Hazel Barnes Prize, and multiple AIAA recognitions. Leadership roles: Department Chair, Associate Chair for Graduate Affairs, and chair of ADCA. Grants and funding include the Glenn Murphy Chair, Al and Betty Look Professorship, and numerous research grants. He advises visiting scholars and leads international collaborations, hosting researchers from institutions like NTNU and Politecnico di Torino. Labs: Colorado Center for Astrodynamics Research (CCAR) and AVS Lab, specializing in spacecraft dynamics, simulation, and autonomy. Key software tools include Basilisk and the Black Lion communication architecture.

Joseph Kasprzykمشاهده پروفایل

دانشیار

• Water Resources Planning
• Decision Making Under Uncertainty
• Multiobjective Evolutionary Algorithms
• +۳ مورد دیگر

Joseph Kasprzyk is an Associate Professor and Associate Chair for Graduate Education in the Department of Civil, Environmental and Architectural Engineering at the University of Colorado. He specializes in hydrology, water resources, and environmental fluid mechanics. His research focuses on decision making under uncertainty, multiobjective optimization, and scientific visualization in water systems planning. He holds a PhD (2013), MS (2009), and BS (2007) in Civil Engineering from Penn State University. Education: PhD in Civil Engineering, Penn State University, 2013 MS in Civil Engineering, Penn State University, 2009 BS in Civil Engineering with Honors, Penn State University, 2007 Research Interests: Optimization of water resources systems Climate change adaptation strategies Participatory decision support frameworks Multiobjective evolutionary algorithms Model diagnostics and visualization Key Contributions: Developed the Many Objective Robust Decision Making (MORDM) framework Pioneered participatory tools like ParFAIT for decision support Advances in linking water-energy systems through optimization Scientific Awards and Recognition: EPA STAR Graduate Fellowship (2010-2013) Outstanding Reviewer for ASCE Journal of Water Resources Planning and Management Invited presenter at SIAM Computational Science conferences Professional Engagement: Member of ASCE Environmental Water Resources Institute Reviewer for major journals including Environmental Modelling and Software Active in curriculum development for water systems analysis Labs and Teams: Involved in interdisciplinary water resources research groups, including collaborations with organizations like NOAA and the NSF-funded projects on robust decision making in infrastructure systems.

• Biogeochemistry
• Climate Science
• Hydrology
• +۳ مورد دیگر

Dr. Sujan Koirala is a Researcher at the Max-Planck-Institute for Biogeochemistry, Department of Biogeochemical Integration (BGI). His work focuses on Model-Data Integration of carbon and water cycles, developing process-based models to quantify uncertainties in structural and observational data. Key research interests include global water and carbon budget dynamics, groundwater's role in ecosystems, and the quantification of land-atmosphere CO2 exchange. He contributes to frameworks like the SINDBAD model and ESMValTool for climate and biogeochemical modeling. His recent studies address interannual variability in ecosystem productivity, machine learning applications in hydrology, and the impacts of climate change on water limitations. Education details are not explicitly provided, but his research spans biogeochemistry, hydrology, and climate science. Collaborations involve global hydrological models and satellite data integration. He is affiliated with the Model-Data Integration research group and has published extensively on carbon cycle modeling, groundwater dynamics, and disturbance regimes in forest ecosystems.

• Model Predictive Control
• Nonlinear Systems Control
• Robust Control
• +۳ مورد دیگر

Dr. Johannes Köhler is a Lecturer at the Department of Mechanical and Process Engineering at ETH Zürich, Switzerland. His research focuses on advanced control systems, particularly model predictive control (MPC), robust control of nonlinear systems, and data-driven control strategies. He holds a Master's degree in Engineering Cybernetics from the University of Stuttgart (2017) and a Ph.D. in Mechanical Engineering (2021), for which he received the 2021 European Systems & Control PhD Award. His work emphasizes safety, optimization, and adaptability in control systems, with applications ranging from autonomous navigation to energy-efficient building systems. Key academic achievements include the 2022 ETH Zurich Career Seed Award for his work on data-driven predictive control, and the 2020 Best Publication Award at the University of Stuttgart for applying MPC to combat the COVID-19 outbreak. He has authored over 60 peer-reviewed articles, with recent contributions in stochastic MPC, robust nonlinear control, and safety-aware exploration strategies. Education: Ph.D. in Mechanical Engineering, University of Stuttgart (2021) Master of Engineering Cybernetics, University of Stuttgart (2017) His research group at ETH Zürich develops algorithms for real-time control of complex systems, with a focus on embedded MPC for robotics and energy systems. Current projects include safe autonomous navigation, adaptive control under uncertainty, and data-driven methods for nonlinear systems.

• Hydrometeorology
• Climate Modeling
• Numerical Weather Prediction
• +۳ مورد دیگر

Evgenii Churiulin is a Scientific Programmer at the Max Planck Institute for Biogeochemistry (2022–present). He holds a Ph.D. (2019) and M.Sc./B.Sc. (2016/2014) in hydrology from Lomonosov Moscow State University and Russian State Hydrometeorological University. His research focuses on hydrometeorology, improving numerical parameterization schemes for snow cover, vegetation, and fires in climate models, and developing scripts for data analysis from models like COSMO and OCN. He has held roles including Postdoctoral Fellow at the University of Kassel (2020–2022), Researcher at the Hydrometcenter of Russia (2017–2020), and Junior Researcher at the Arctic and Antarctic Research Institute (2014–2017). He lectured at Lomonosov Moscow State University (2017–2019) on hydrology and snow hydrology. His work emphasizes climate modeling innovations, snow dynamics, and interdisciplinary collaborations. Education: Ph.D. in Geographical Science (Hydrology), Lomonosov Moscow State University (2016–2019) M.Sc. in Hydrometeorology, Russian State Hydrometeorological University (2014–2016) B.Sc. in Hydrometeorology, Russian State Hydrometeorological University (2010–2014) Research Interests: Climate modeling, snow cover parameterization, vegetation-fire interactions, numerical weather prediction, and data analysis frameworks for climate models. His work bridges hydrometeorological processes with computational tools like COSMO-CLM and SnoWE models to enhance predictive accuracy in regional climate systems. Publications & Contributions: Over 15 peer-reviewed articles and technical reports, including key contributions to COSMO-Ru and SnoWE models. His work on snow water equivalent estimation and flood modeling has advanced hydrological forecasting. He also co-authored a comprehensive Arctic atlas and holds software certificates for SnoWE model development. Awards & Recognition: None explicitly listed, though his contributions to climate modeling are recognized through active participation in workshops like COST HarmoSnow. Grants & Labs: Part of the SnoWE model development team and collaborates with institutions like the Hydrometcentre of Russia. His work is supported by projects in numerical weather prediction and climate model refinement.

Kristine Spekkensمشاهده پروفایل

استاد

• Extragalactic Astrophysics
• Astronomical and Space Sciences
• Cosmology and Extragalactic Astronomy
• +۳ مورد دیگر

Dr. Kristine Spekkens is a Full Professor at Queen's University, cross-appointed from the Royal Military College of Canada (RMC) since 2013, and officially joined Queen's faculty in 2024. She holds roles as Canadian Science Director for the Square Kilometre Array (SKA) and Vice-Chair of the SKA Science and Engineering Advisory Committee. She is also affiliated with the National Research Council of Canada and the SKA Observatory. Education: PhD in Astronomy (Cornell University, 2005), B.Sc. in Physics (Queen's University, 2000). Research Interests: Structure and evolution of nearby galaxies, using atomic gas morphologies and kinematics as cosmological probes, particularly through deep multi-wavelength observations. Active on teams like the WALLABY survey on the ASKAP telescope. Awards: Award of Merit (2000+). Advising & Grants: Leads a research group at Queen's University. Previously held positions at RMC (Assistant Professor from 2008 to Full Professor by 2020). No formal advisee list provided. Active in grants related to SKA and observational astronomy. Labs/Teams: Coordinates the SKA Canadian Science team, chairs software development groups for the WALLABY survey, and participates in CASCA committees (e.g., Equity and Inclusivity Committee).

• Cloud Computing
• High Performance Computing
• Distributed Systems
• +۴ مورد دیگر

José Luis Vázquez-Poletti is an Associate Professor at the Universidad Complutense de Madrid's Faculty of Informatics, specializing in distributed systems and cloud computing. He holds a Ph.D. in Computer Architecture (2008) and an M.E. in Computer Science (2004), both from UCM. As head of the Open Source Software and Open Technologies Office, he promotes open-source adoption in academic and administrative contexts. Education: M.E. in Computer Science, Universidad Pontificia de Comillas (2004) Ph.D. in Computer Architecture (Doctor Europeus), Universidad Complutense de Madrid (2008) Research Interests: Cloud Computing and Serverless Architectures High-Performance Computing for Space Exploration (e.g., Mars missions) Cybersecurity and Distributed Systems Optical Data Storage (QR code encryption) Key Projects: Lead researcher in EU-funded projects like IN-TIME (Martian dating), EDGECLOUD (edge computing), and EYE (economy via spatial data) Developed NGScloud and TOA tools for genomic analysis using cloud computing Authored cloud-based frameworks for Mars aurora detection, Phobos eclipse analysis, and bioinformatics Other Roles: Editorial Board member of journals like International Journal of Grid and Distributed Computing and Parallel and Cloud Computing Research Advisor for over 30 academic theses and projects, including serverless architectures in healthcare, cybersecurity, and gaming

• Causal Inference
• Machine Learning
• Health Disparities
• +۴ مورد دیگر

Razieh Nabi is the Rollins Assistant Professor in the Department of Biostatistics and Bioinformatics at Emory University’s Rollins School of Public Health. Her research focuses on developing novel causal methodologies to address challenges such as unmeasured confounders, missing data, and biases in healthcare and social justice contexts. She integrates machine learning, graphical models, and semiparametric statistics to create robust frameworks for causal inference. Education: PhD (Johns Hopkins University), M.Sc. (University of Texas at El Paso), B.Sc. (Sharif University of Technology) Affiliations: Active on Twitter (@raziehnabi), affiliated with Emory University Her research interests include causal inference under complex data constraints, fair machine learning, and applications in healthcare equity. Notable work addresses racial disparities in healthcare, missing data mechanisms, and algorithmic fairness. She has developed methods such as the Ananke Python package for causal discovery and inference using graphical models. Her articles explore topics like path-specific causal effects, semiparametric sensitivity analysis, and fair risk minimization. These contributions bridge theoretical advancements with practical applications in public health and policy. No scientific awards are explicitly listed. She teaches courses on causal inference, directed study, and advanced biostatistics, reflecting her commitment to both research and education.

Laurent Vanbeverمشاهده پروفایل

دانشیار

• Network Programmability
• Internet Routing
• Network Verification
• +۵ مورد دیگر

Laurent Vanbever is an Associate Professor at ETH Zürich and heads the Networked Systems Group (NSG). He specializes in network programmability, Internet routing, and network security, aiming to make networks more performant and manageable. Previously, he held a postdoctoral position at Princeton University and earned his PhD from the University of Louvain. Education: PhD in Computer Science, University of Louvain (2012) Postdoctoral Researcher, Princeton University (2012–2014) MSc in Computer Science, University of Louvain (2008) MSc in Management, Solvay Brussels School (2010) Research Interests: His work bridges theory and practice, focusing on network programmability, routing protocols, and sustainable networking. Recent projects include NetFabric, an ETH spin-off for network observability, and studies on energy-efficient router design (e.g., Fantastic Joules ) and BGP reconfiguration ( Taming the transient ). Key contributions include xBGP, Magnifier, and SP-PIFO. Awards: Best Paper Award at HotCarbon '24 SIGCOMM 2015 Best Paper Award Multiple IETF/IRTF Applied Networking Research Prizes Advising and Labs: Supervises PhD students (e.g., Benjamin, Weiran) and manages the NSG lab. Collaborates with NetFabric, offering student projects in network observability and sustainability. Labs & Teams: Leads the NSG and co-founded NetFabric, focusing on next-gen network observability using AI. Active in teaching Communication Networks and Advanced Topics in Communication Networks .

Xiaoqin Wangمشاهده پروفایل

مدرس

• Causal Inference
• Biostatistics
• Epidemiological Modeling
• +۳ مورد دیگر

Xiaoqin Wang is a Lecturer in Statistics at the University of Gävle, Sweden, with an active research program spanning theoretical statistics and applied biostatistics. Her work bridges mathematical rigor with real-world health applications, particularly in cancer epidemiology and pandemic response modeling. Her research concentrates on causal inference methodologies, specializing in G-formula extensions for sequential treatment effects and diagnostic timing analysis. Key contributions include frameworks for estimating point effects of early cancer diagnosis on survival outcomes and statistical evaluations of pandemic interventions. She consistently addresses methodological challenges in observational data, such as time-varying confounding and treatment interaction effects. Analysis of her 2015-2024 publications reveals a strategic shift toward high-impact health applications while maintaining theoretical depth. Her work increasingly integrates multi-institutional collaborations (notably with L. Yin) to tackle urgent public health questions, including Swedish COVID-19 strategy evaluation and cardia cancer diagnostic pathways. The consistent focus on estimand definition and robust statistical frameworks demonstrates methodological leadership. Wang maintains active scholarly engagement through publications in Statistical Methods in Medical Research , Biometrical Journal , and Annals of Statistics , with recent work emphasizing practical implementation of causal methods for medical researchers.

Kim K. Winterمشاهده پروفایل

استاد

• Teacher Induction and Retention
• Performance-Based Assessment
• Middle Level Curriculum and Instruction
• +۴ مورد دیگر

Kim K. Winter is a Professor and Dean of the College of Education and Allied Professions at Western Carolina University, concurrently serving as superintendent of The Catamount School, a UNC System lab school. Her roles emphasize academic leadership in accreditation, curriculum development, and partnership-building. With a PhD from Indiana State University, her expertise spans teacher induction, performance-based assessment, middle-level education, and higher education administration. As a full-time administrator, she has secured over $3.7M in grants and an endowment for early literacy professorships. Dr. Winter’s research focuses on teacher development, trauma-informed practices, digital citizenship, and middle school pedagogy. Her volunteer service includes roles on the NC State Board of Education Literacy Task Force, Teaching Fellows Commission, and UNC System Education Advisory Group. She teaches courses on middle grades philosophy, adolescent development, and literacy methods. Notable achievements include doubling the college’s scholarship funds and leading initiatives on educator preparation. Her recent work emphasizes leveraging technology in teacher training and fostering community partnerships in education.