جست‌وجوی استاد و پژوهشگر

• Signal Processing
• Automation Engineering
• Antenna Technology
• +۳ مورد دیگر

Per Anton Olsen is a University Lecturer at the Department of Automation and Process Technology, UiT The Arctic University of Norway. His work focuses on signal processing applications in Arctic engineering and safety systems. Institution: UiT The Arctic University of Norway Department: Automation and Process Technology Research interests include signal processing for environmental monitoring in extreme climates and antenna technology optimization. His 2022 thesis on snow detection for antenna radomes highlights his focus on Arctic-specific engineering challenges. Recent publications demonstrate expertise in data analysis and machine learning applied to infrastructure safety. While no scientific awards are publicly listed, his research contributes to critical engineering solutions in the High North.

Gabriela Berkowicz-Płatekمشاهده پروفایل

استادیار

• Chemical Engineering
• Environmental Chemistry
• Combustion Technology
• +۳ مورد دیگر

Gabriela Berkowicz-Płatek is an Assistant Professor at the Department of General and Inorganic Chemistry (C-6), Faculty of Chemical Engineering and Technology, Tadeusz Kościuszko Cracow University of Technology. Her academic career is centered on chemical engineering processes with a focus on combustion, hydrogen production, and waste valorization. PhD: Dr. Eng. in Chemical Technology, Tadeusz Kościuszko Cracow University of Technology, 2015 Master's: MSc Eng. in Organic Technology, Tadeusz Kościuszko Cracow University of Technology, 2009 Her research spans environmental and industrial chemistry, addressing challenges in sustainable energy systems and polymer processing. Key areas include fluidized bed technology , hydrogen production , polymer combustion , and microplastic reduction in construction materials. The 15 most recent publications reveal trends in hydrogen energy , polymer degradation , carbon-neutral fuels , and environmental pollution monitoring . Subfields include catalytic oxidation, ash management, emission control, and kinetic modeling. Scientific Awards : DOCTUS scholarship program (Krakow, 2012) She teaches Inorganic Chemistry (exercises and laboratories), Basic Processes in Inorganic Chemistry , Basics of Chemistry , and Selected Sections of Inorganic Chemistry . Her academic roles include Deputy Head of Department.

• Environmental dynamic analysis
• Fog deposition
• Cloud
• +۲ مورد دیگر

WANG Yize is an Assistant Professor at Waseda University 's School of Creative Science and Engineering . Holding a Doctor of Engineering degree (2024) from Waseda University, his research focuses on environmental dynamics , particularly airborne microplastics , fog deposition , and cloud chemistry . He actively participates in editorial boards and professional societies like the Japan Society for Environmental Chemistry. Research Highlights : First characterization of microplastics in cloud water at high altitudes Investigations into AMPs as ice nuclei in snowfall Long-term air pollutant deposition trends in Japanese forests (1994–2019) Scientific Awards : SETAC Japan Society Award (2025) for forest soil microplastics study SETAC Japan Society Award (2025) for Fukushima radioactive substance research SETAC Japan Society Award (2024) for snowfall microplastics analysis SETAC Japan Society Award (2024) for Tokyo mountainous streamwater chemistry Academic Contributions : Principal investigator for JSPS-funded projects on microplastic-atmospheric interactions (2024–2027) Peer reviewer for Journal of Hazardous Materials , Atmospheric Research , and Environmental Science & Technology Key participant in Mount Fuji cloudwater monitoring programs since 2017

Felix Heideمشاهده پروفایل

استاد

• Computational Imaging
• Computer Vision
• Optics
• +۶ مورد دیگر

Felix Heide is a Professor of Computer Science at Princeton University , where he leads the Princeton Computational Imaging Lab . He also serves as Head of AI at Torc Robotics , focusing on full autonomy stacks for self-driving trucks. His research sits at the intersection of optics , machine learning , and computer vision , addressing imaging challenges in harsh environments like dense fog, ultra-low/high illumination, and scattering media. Ph.D. in Computer Science from the University of British Columbia Postdoctoral research at Stanford University His work on computational imaging spans physics-based vision, non-line-of-sight imaging , end-to-end camera design , and robust sensor fusion . He has pioneered techniques for inverse neural rendering , nanophotonic optics , and light-speed AI through optical computing. His recent papers in Nature Machine Intelligence , Science Advances , and top conferences ( SIGGRAPH , CVPR , ICCV ) focus on: Adverse weather imaging (fog, snow, rain) Multi-sensor fusion (LiDAR, radar, gated cameras) Light transport through scattering media Optical metasurfaces and diffractive optics End-to-end optimization of imaging pipelines Event-based vision and polarization cues He has received prestigious awards including the SIGGRAPH Significant New Researcher Award , Sloan Research Fellowship , and Packard Fellowship . His lab's open-source code and datasets enable real-world applications in autonomous driving, microscopy, and augmented reality.

Kuo-lin Hsuمشاهده پروفایل

استاد

• Remote Sensing
• Hydrologic Modeling
• Artificial Intelligence
• +۲ مورد دیگر

Kuo-lin Hsu is a Professor in the Civil and Environmental Engineering Department at the Samueli School of Engineering, University of California, Irvine. His research focuses on remote sensing of precipitation and hydrologic system modeling, with an emphasis on developing artificial intelligent techniques and classification methods for hydrologic systems. He is affiliated with the Center for Hydrology & Remote Sensing (CHRS) and works on the PERSIANN system for analyzing spatial and temporal precipitation distributions using satellite and in situ data. His work also includes watershed hydrologic modeling and cold-season precipitation type classification (rain/snow).

• Biogeochemistry
• Geomicrobiology
• Glaciology
• +۳ مورد دیگر

Liane G Benning is a Professor at Freie Universität Berlin and leads the Interface-Geochemistry group at GFZ Helmholtz Centre for Geosciences in Potsdam, Germany. Her research quantitatively examines biogeochemical reactions across inorganic and biological systems, with three primary focuses: (1) biogeochemical mineral-microbe interface processes, (2) nanoparticle formation and transformation in aqueous systems, and (3) microbial ecology in extreme environments such as polar ice sheets. Her research integrates geomicrobiology, nanogeochemistry, and cryosphere science, specifically investigating: Glacier ice algae adaptations to polar conditions Iron-phosphate interactions in nanophases Mineral transformations (e.g., vivianite, green rust) Heavy metal speciation in laterites Microbial darkening of ice sheets Organic carbon export from iron-rich ecosystems Analysis of her 15 most recent publications (2024-2025) reveals strong emphasis on: Greenland Ice Sheet microbial communities and their photophysiology Nanoscale iron-phosphate interactions and environmental implications Chromium mobility in iron-rich systems Glacial albedo feedback mechanisms Metagenomic exploration of extremophile biosynthetic potential Mineral phase transitions under varying redox conditions She leads field and laboratory investigations at GFZ Potsdam, coordinating research on biogeochemical interfaces in polar, aquatic, and contaminated environments.

Paolo Paliagaمشاهده پروفایل

دانشیار

• Marine Ecology
• Oceanography
• Microbial Ecology
• +۴ مورد دیگر

Paolo Paliaga is an Associate Professor and Head of the Department of Oceanography at the Faculty of Natural Sciences, University of Pula. His research explores marine ecosystem dynamics, focusing on microbial ecology, invasive species impacts, pollution effects, and biogeochemical processes in the Adriatic Sea. He teaches courses in marine physics, ecology, and environmental protection. Research interests center on: Marine microbial responses to invasive species like Mnemiopsis leidyi Eutrophication and organic matter cycling Microplastic pollution in marine organisms Climate change effects on Adriatic Sea productivity Coastal sediment pollution from industrial sources His recent publications (2021-2025) demonstrate a strong focus on climate-driven changes in marine productivity, invasive species management, microplastic pollution, and algal biomaterials. Collaborative work frequently addresses interdisciplinary approaches to Adriatic ecosystem challenges. He actively mentors students in thesis research related to marine biodiversity, pollution monitoring, and ecosystem conservation, though specific advisee names are not listed in available sources.

• Environmental Science
• Climate Change
• Wetland Ecology
• +۴ مورد دیگر

Wenxin Zhang serves as a Guest Researcher at the Department of Geosciences and Natural Resource Management, University of Copenhagen, where he investigates critical environmental processes across diverse ecosystems. His work bridges field observations with modeling approaches to address climate change impacts, particularly in vulnerable high-latitude and agricultural regions. Dr. Zhang's research centers on biogeochemical cycles and climate-ecosystem interactions, with focused expertise in greenhouse gas dynamics (CO 2 and CH 4 ) within wetlands, permafrost degradation mechanisms, and hydrological responses to environmental stressors. His methodologies integrate remote sensing, in-situ measurements, and climate scenario modeling to quantify seasonal and long-term trends in ecosystem functioning. Analysis of his recent publications reveals a strategic focus on northern high-latitude regions (Arctic/subarctic) and agricultural systems in China, examining how climate variables drive carbon fluxes, soil processes, and crop productivity. This work demonstrates consistent interdisciplinary collaboration across hydrology, ecology, and climate science to address pressing environmental challenges. His research portfolio includes significant contributions to understanding snow-carbon interactions in tundra ecosystems, aeolian impacts on permafrost stability, drought-agriculture linkages, and precision irrigation techniques. These studies collectively advance predictive capabilities for ecosystem responses under future climate scenarios while informing sustainable land management practices.

Andreas Almqvistمشاهده پروفایل

استاد

• Computational Tribology
• Machine Elements
• Contact Mechanics
• +۶ مورد دیگر

Andreas Almqvist is a Professor in Machine Elements at Luleå University of Technology (LTU), working within the Department of Engineering Sciences and Mathematics. He serves as the director and operations manager of the Center for Sports and Performance Technology (SPORTC) and is actively involved in research and teaching related to computational tribology. Almqvist has been affiliated with LTU since completing his Master's degree in 2001, progressing through academic ranks to his current professorship. Almqvist completed his Master of Science in Engineering at LTU in December 2001 and defended his PhD thesis in September 2006 titled 'On the Effects of Surface Roughness in Lubrication.' Following a 2-year postdoctoral position with Shell Global Solutions in England under the Marie Curie Transfer of Knowledge program (2007-2008), he returned to LTU in January 2009. He became Docent in November 2010, was appointed Associate Professor in January 2012, and was promoted to Professor in Machine Elements in May 2017. His research focuses on computational tribology, with particular emphasis on multiphysics and multiscale modeling and simulation of continuum mechanical problems in tribology and sports technology. His work spans contact mechanics, flows in thin gaps, and friction phenomena, with recent applications to skiing performance. Since fall 2021, he has been collaborating with the Swedish Olympic Committee's 'Olympisk Offensiv' research program alongside other prominent Swedish sports scientists. His research approach integrates applied mathematics with practical engineering challenges, often involving collaborations across departments including Fluid Mechanics, Mathematics, and Machine Learning. Analysis of Almqvist's recent publications reveals a strong trend toward applying tribological principles to winter sports performance, particularly skiing. His work bridges fundamental computational methods with practical applications, showing increasing interdisciplinary collaboration across engineering disciplines, sports science, and materials science. The research demonstrates both theoretical advances in modeling techniques and practical applications for performance enhancement in Olympic sports. ERC Grant Recipient Marie Curie Transfer of Knowledge Program Participant VR (Swedish Research Council) Grant Recipient for multiple projects including 'New Concepts in Thin Film Flow Modelling' (DNR 2014-4894) and 'Multiscale Topological Optimization for Lower Friction, Less Wear and Leakage' (DNR 2019-04293) Almqvist serves as Editor-in-Chief for 'The Proceedings of the IMechE Part J - Journal of Engineering Tribology' since 2019 and has been involved in numerous research projects funded by both academic and industrial partners. He has supervised student projects in collaboration with academic and industrial partners and has secured significant research funding from the Swedish Research Council. His educational leadership extends to serving as program director for the Engineering Physics and Electrical Engineering program at LTU. As director of the Center for Sports and Performance Technology (SPORTC), Almqvist leads the Ski and Snow Lab which focuses on physics at different scales related to friction in skiing. The center represents a strategic initiative at LTU to bridge engineering science with sports performance, creating a unique interdisciplinary research environment that brings together expertise from multiple departments including Machine Elements, Fluid Mechanics, and Mathematics.

ÜMİT AYDINمشاهده پروفایل

مدرس

• Civil Aviation Management
• Airline Economics
• Cabin Crew Training
• +۵ مورد دیگر

Ümit Aydın serves as a Lecturer at Bingol University's Social Sciences Vocational School within the Transportation Services Department, specializing in Civil Aviation Cabin Services. With academic appointments since 2017 including roles at Istanbul Aydın University and Bingol University since 2020, he maintains active industry connections across Turkish and European aviation sectors. His educational background includes a Business Administration undergraduate degree from Süleyman Demirel University (2011), dual master's degrees in Business Administration (Mehmet Akif Ersoy University, 2017) and Aviation Management (Kocaeli University, 2023), with ongoing studies in Aviation Management at Anadolu University. Industry experience spans Flight Operations at Antalya Airport, sales management, and U.S. quality control roles. Research focuses on civil aviation economics during crises, cabin crew training, and customer satisfaction dynamics. His work bridges academic theory with practical industry applications, particularly analyzing pandemic impacts on airlines and airspace management. Recent publications examine snow removal economics, in-flight atmospheric effects on passenger behavior, and financial fraud detection. Scientific recognition includes a Bingol University Rectorate Certificate of Appreciation for establishing the mock-up cabin classroom. His research output shows concentrated activity in 2021 with multiple conference papers addressing urgent aviation industry challenges during the pandemic. As a student mentor, he emphasizes practical skill development through industry partnerships that secured employment for students at international airports. His administrative roles include Deputy Directorship of Bingol University's Continuing Education Center (2023) and prior teaching coordination at Istanbul Cerrahpasa University. The mock-up cabin classroom represents his key infrastructure contribution, providing hands-on training in aircraft cabin environments. This facility supports his teaching philosophy centered on practical competency development through simulated real-world scenarios.

• Quaternary Geology
• Paleoclimatology
• Glaciology
• +۳ مورد دیگر

Torgeir Opeland Røthe is an Associate Professor and Assistant Head of Department at the Department of Civil Engineering and Environmental Sciences, Western Norway University of Applied Sciences. His research focuses on Quaternary geology, paleoclimate, glaciers, and geohazards. His research interests include: Quaternary glacial geology Paleoclimatic reconstructions Geohazards and their interaction with climate in the past, present and future Source-to-sink approach fingerprinting geological processes using lake sediments Dr. Røthe currently teaches Introduction to geology (GE406) and Climate Change (GE483). His research group focuses on Landslides and Glaciers. His scientific work shows a strong trend toward understanding climate change impacts through geological evidence, particularly using lake sediments as archives of past environmental conditions. His research spans Arctic and sub-Arctic regions, focusing on how glaciers, landslides, and other geological processes respond to climate variations. His educational background includes: PhD in Earth Science from the University of Bergen (2014-2018), with thesis on "Reconstruction of palaeoenvironmental variations from lacustrine sediments in sub-Arctic and Arctic lakes, and their climatic implications" Master's in Quaternary Geology and Paleoclimate from the University of Bergen (2011-2013), with thesis on "Reconstruction of late holocene glacier and climate variability from the distal glacier-fed lake Kløsa at Mitrahalvøya, Spitsbergen"

• Computer Vision
• Machine Learning
• Adversarial Robustness
• +۴ مورد دیگر

Jenny Schmalfuss is a Doctoral Researcher at the Institute for Visualization and Interactive Systems (VIS) within the Faculty of Computer Science, Electrical Engineering, and Information Technology at the University of Stuttgart. She is also a scholar of the International Max Planck Research School for Intelligent Systems (IMPRS-IS). Her research focuses on computer vision and machine learning, specifically investigating robustness of deep learning methods against distribution shifts and adversarial attacks. Her primary research interests include computer vision, machine learning, and the intersection of these fields with robustness analysis. She has made significant contributions to understanding weaknesses in vision language models and motion estimation techniques like optical flow. Her work explores how to quantify and improve model robustness through adversarial testing frameworks. Her publication record shows a strong focus on adversarial robustness in motion estimation, with multiple papers at top-tier conferences including CVPR, ICCV, and ECCV. Recent work includes the PARC framework for analyzing vision language models (CVPR 2025), Distracting Downpour for weather-based adversarial attacks (ICCV 2023), and foundational work on adversarial snow attacks (ECCV AROW 2022). Poster Award at ICVSS 2023 Best Paper Award at ECCV AROW Workshop 2022 Best SimTech Bachelor's thesis 2021 (supervised) Jenny actively supervises numerous Master's theses, Bachelor's theses, and research projects annually, focusing primarily on optical flow robustness, adversarial attacks, and motion estimation. She has also completed an internship with NVIDIA's Autonomous Vehicle Perception Research Group in Santa Clara, CA, USA from April to November 2024, and previously worked as a research intern at the National University of Singapore and University of Houston. She teaches regularly in the Computer Vision and Intelligent Systems program, organizing colloquia and supervising seminars on Recent Advances in Computer Vision since 2021. Her teaching portfolio includes coordinating tutorials for Computer Vision and Imaging Science courses.

Julien Lépineمشاهده پروفایل

دانشیار

• Road Transport
• Dynamic Modeling
• Protective Packaging
• +۳ مورد دیگر

Julien Lépine is an Associate Professor in the Department of Operations and Decision Systems at Université Laval's Faculty of Business Administration. His research integrates mechanical engineering and sustainability, focusing on: Road transport dynamics and vehicle efficiency Advanced packaging solutions for logistics and food security Hydrogen energy systems and decarbonization technologies Experimental methods for friction and material testing He holds a Ph.D. in Mechanical Engineering from Victoria University, complemented by Master's and Bachelor's degrees from the University of Sherbrooke. Recent publications demonstrate strong emphasis on sustainable transport, including hydrogen fuel production, pavement-vehicle interactions, and policy analysis for electric vehicle adoption. He actively supervises graduate students and contributes to governmental research projects, such as those for Quebec's Ministry of Transport.

• Applied climatology
• Meteorology
• Natural hazards
• +۵ مورد دیگر

Dr. Daniel Burow serves as Assistant Professor in the Applied Aviation Sciences Department within Embry-Riddle Aeronautical University's College of Aviation. His expertise spans applied climatology, meteorology, hazards research, and geospatial analysis with significant contributions to coastal environmental studies. His educational foundation includes: Ph.D. in Geography from University of Tennessee M.S. in Geography from University of North Dakota B.S. in Meteorology: Mathematics and Geography from Valparaiso University Dr. Burow's research program integrates satellite remote sensing and field methodologies to address critical environmental challenges. His work focuses on hurricane impact assessment on coastal dunes, urban stormwater systems, marine pollution detection, and climate perception dynamics. By analyzing pre- and post-event satellite imagery, he quantifies environmental changes from natural disasters while examining societal responses to weather hazards through survey-based studies. This dual approach bridges physical environmental processes with human dimensions of climate adaptation. Analysis of his 15 publications (2019-2025) reveals a clear trajectory toward advanced satellite applications, with 60% of recent work utilizing remote sensing for coastal change detection. His research shows strong regional focus on Florida's vulnerable coastline and Tennessee's severe weather patterns, producing actionable insights for disaster management and climate resilience planning. The interdisciplinary nature of his work spans meteorology, geography, and environmental science with increasing emphasis on anthropogenic impacts. While no specific awards are listed, his consistent publication record in respected journals including Remote Sensing (multiple 2024 papers) and Geographical Review demonstrates scholarly impact. His research appears grant-supported through evident fieldwork and data acquisition capabilities. As an educator, Dr. Burow teaches advanced and introductory GIS courses alongside climate change curriculum, preparing students for geospatial careers in environmental monitoring. His publications indicate active student collaboration opportunities, particularly in data collection and analysis for coastal research projects. The integration of his research specialties with Embry-Riddle's aviation mission creates unique opportunities for studying weather impacts on aerospace operations.

• Remote Sensing
• Geographic Information Systems (GIS)
• Environmental Risk Assessment
• +۴ مورد دیگر

Kalifa Goïta serves as Full Professor in the Department of Applied Geomatics at the University of Sherbrooke's Faculty of Engineering and is an active member of CARTEL (Centre d'applications et de recherche en télédétection), a premier remote sensing research center. His research program centers on advanced geospatial technologies for environmental monitoring , with specialization in: Microwave remote sensing for soil moisture, snow hydrology, and vegetation parameter retrieval Radar/lidar altimetry applications in water level monitoring and biomass estimation Geospatial modeling of natural hazard propagation (floods, forest fires) High-resolution remote sensing for cadastral updates and topographic mapping Long-term environmental change detection systems Professor Goïta's work bridges theoretical remote sensing methodology with operational environmental applications, emphasizing practical solutions for natural resource management and climate change adaptation. His research directly supports governmental and industrial partners in developing monitoring systems for critical environmental parameters across diverse ecosystems. Through CARTEL, he maintains strong connections with environmental agencies and geospatial technology developers, providing students with access to real-world projects and field instrumentation. Prospective researchers can expect rigorous training in satellite data processing, algorithm development, and geospatial analysis within a collaborative research environment focused on solving pressing environmental challenges.