جست‌وجوی استاد و پژوهشگر

Steven Lundbladمشاهده پروفایل

استاد

• Geochemistry
• Volcanology
• Geoarchaeology
• +۵ مورد دیگر

Professor Steven Lundblad is a tenured geochemist in the Department of Geology at the University of Hawaiʻi at Hilo, College of Arts and Sciences. With over two decades of Hawaiʻi-based research, he bridges volcanic geochemistry and cultural heritage preservation through pioneering non-destructive analytical techniques. B.S. (1985) - Harvard University M.S. (1988) - University of Wisconsin-Madison Ph.D. (1994) - University of North Carolina-Chapel Hill His research focuses on two complementary domains: volcanic geochemistry through real-time lava flow analysis during eruptions, and geoarchaeology via EDXRF spectrometry of Polynesian stone tools. This dual expertise has led to: Development of rapid geochemical monitoring protocols during volcanic crises Revolutionizing artifact analysis by eliminating destructive sampling Identification of unprecedented andesitic lavas during the 2018 Kīlauea eruption Establishment of the interdepartmental Geoarchaeology Laboratory with Peter Mills Recent publications demonstrate methodological advancements in Archaeometry (2006), Journal of Archaeological Science (2023), and Science (2019), alongside applied geologic studies in Bulletin of Volcanology (2024). These works span disciplines including: Volcanic hazard modeling Prehistoric trade network reconstruction Geochemical fingerprinting methodologies Cultural sensitivity in scientific practice Awarded the 2019 Koichi and Taniyo Taniguchi Award for innovation in rapid lava analysis, his work directly informs emergency management decisions during volcanic events. The Geoarchaeology Laboratory serves as training ground for both geology and anthropology students, fostering interdisciplinary collaboration through hands-on scientific practice.

• Machine Learning
• Artificial Intelligence
• Statistics
• +۳ مورد دیگر

Arto Klami serves as an Associate Professor in the Department of Computer Science at the University of Helsinki's Faculty of Science, where he also leads the Diversity in Society and Life (DIVSOL) doctoral program. His research spans machine learning, artificial intelligence, and statistics with applications across multiple domains including food science, astronomy, and industrial engineering. Klami maintains active collaborations with Helsinki Institute for Information Technology and leads multiple research projects funded by the Academy of Finland and Business Finland. Professor Klami's research focuses on probabilistic modeling, Bayesian methods, and geometric approaches to machine learning. His work bridges theoretical foundations with practical applications, particularly in developing methods for small data scenarios, prior knowledge integration, and geometric deep learning. His recent publications demonstrate expertise in normalizing flows, manifold learning, and Riemannian geometry applied to statistical problems, alongside domain-specific applications in food science, astronomy, and industrial monitoring systems. Klami's publication record shows a strong trajectory with 97 research outputs through 2025, including numerous high-impact articles in leading journals and conferences. His work spans both theoretical machine learning advancements and applied research in diverse fields such as food preservation, asteroid surface analysis, and industrial fouling detection. A notable trend is his increasing focus on cross-disciplinary applications of probabilistic AI methods, particularly in addressing real-world challenges with limited data. Scientific recognition includes: Best paper award at the 15th Koli Calling conference on computing education research (2015) Best paper award in Asian Conference on Machine Learning (2012) Senior good researcher award from the Department of Computer Science (2014) As an academic leader, Klami has supervised 9 doctoral theses and contributed to 33 academic activities including peer review for top journals like the Journal of the American Statistical Association. He leads five major research projects through 2030, with significant funding from the Academy of Finland, including FoodID (NSF Global Centers), DIVSOL profiling initiative, and projects on flexible priors and virtual laboratories. His work with the Nordic Probabilistic AI School demonstrates commitment to community building in machine learning. Klami directs research teams working on probabilistic AI applications, with particular emphasis on the Virtual Laboratories project and Sustainable Industrial Ultrasonic Cleaning initiative. His Helsinki-based research group maintains strong industry connections through partnerships with Orion Oyj and Silo AI Oy, translating academic research into practical industrial solutions.

• Algebraic Topology
• Homotopy Theory
• Algebraic Geometry
• +۳ مورد دیگر

Robert Wayne Burklund serves as an Associate Professor in the Department of Mathematical Sciences at the University of Copenhagen, actively contributing to the Algebra & Geometry (AG) and GeoTop research groups. His academic profile centers on foundational mathematical research with institutional affiliation confirmed through university channels and ORCID registration (0000-0001-5936-5256). Burklund's research spans Algebraic Topology, Homotopy Theory, Algebraic Geometry, K-theory, Topology, and Geometry. His work critically examines spectral sequences, quiver representations, high-dimensional manifold classification, and algebraic K-theory structures. Key methodological approaches include stable homotopy computations, differential graded algebra techniques, and geometric topology frameworks. Recent publications demonstrate consistent output in premier journals including Inventiones Mathematicae and Advances in Mathematics. His 2022-2025 work reveals strong thematic continuity in algebraic topology foundations, particularly Adams spectral sequence mechanics and high-dimensional geometric problems. Notable contributions include resolving differential computations in homotopy groups and advancing the high-dimensional geography problem. While departmental records confirm supervision of past postdocs and PhD students, specific advisee names remain unlisted in available documentation. Burklund maintains active research engagement through ongoing publications and institutional collaborations, with no indication of reduced academic activity.

Qian Yuمشاهده پروفایل

دانشیار

• Environmental Geography
• Remote Sensing
• GIS (Geographic Information Systems)
• +۵ مورد دیگر

Qian Yu serves as an Associate Professor and Graduate Program Director for Geography within the Department of Earth, Geographic, and Climate Sciences at the School of Earth and Sustainability, University of Massachusetts Amherst. She earned her Ph.D. in Environmental Science from the University of California at Berkeley and maintains active research collaborations with Central Michigan University, UMass-Boston, USGS MA-RI Water Resources Center, and Woods Hole Marine Biological Laboratory. Her academic foundation: Ph.D. in Environmental Science, University of California at Berkeley Dr. Yu specializes in environmental geography using GIS, remote sensing, and spatial modeling to investigate complex environmental systems. Her research focuses on riverine carbon export through in situ spectral measurements and hyperspectral remote sensing (collaborating with Yong Tian and Bob Chen), aquatic biomass monitoring with satellite imagery (with USGS), object-based vegetation classification from high-resolution imagery, and greenhouse gas emissions/soil respiration studies (with Jim Tang at Woods Hole). Her methodologies advance understanding of carbon cycling, water quality dynamics, and ecosystem responses to environmental change across coastal and inland waters. Analysis of her 2021-2025 publications reveals concentrated expertise in blue carbon mapping of Northeast US salt marshes using LiDAR and optical remote sensing, alongside innovative work on suspended particulate matter, dissolved organic carbon, and foliar nutrient concentrations. She integrates multi-sensor satellite data (Landsat, Sentinel, GOES) to develop high-resolution environmental monitoring frameworks applicable to climate change mitigation and resource management. Scientific recognition is demonstrated through sustained partnerships with major research institutions including USGS and Woods Hole Marine Biological Laboratory, though specific awards are not documented in available sources. As Graduate Program Director, Dr. Yu leads geography graduate education while directing research supported by collaborative grants with Central Michigan University, UMass-Boston, USGS, and Woods Hole. Her work involves field campaigns for spectral data collection and algorithm development for environmental monitoring, operating within interdisciplinary frameworks that bridge remote sensing technology and ecological applications.

Matthew Burtnerمشاهده پروفایل

استاد

• Ecoacoustics
• Computer Music
• Environmental Music
• +۵ مورد دیگر

Matthew Burtner is the Eleanor Shea Professor of Music at the University of Virginia, where he serves as Director of Graduate Studies and Co-Director of the Coastal Future Conservatory. He maintains dual affiliations with the Music Department and the Environmental Thought and Practice (ETP) program, reflecting his interdisciplinary approach that bridges composition, technology, and ecological awareness. Burtner's research explores embodiment, ecology, polytemporality and noise through innovative compositional frameworks. His work pioneers what might be termed 'ecoacoustic' practices that translate environmental processes into musical forms, particularly focusing on glacial systems and climate change phenomena. He has developed unique methodologies for transforming scientific data about melting glaciers and shifting ecosystems into immersive musical experiences that engage both scientific and artistic communities. His creative output demonstrates an evolving trajectory toward increasingly sophisticated integrations of real-time environmental data, interactive technologies, and musical expression. Recent works show growing complexity in how cryospheric phenomena are translated into musical structures, with increasing emphasis on audience participation through systems like his 'Nomads' audience interaction platform. Burtner's compositions span chamber music, telematic opera, interactive installations, and field recordings, all unified by their environmental focus and technological innovation. Emmy Award for 'Composing Music with Snow and Glaciers' (2020) IDEA Award for telematic opera 'Auksalaq' National Endowment for the Arts Award for 'The Ceiling Floats Away' International honors from Musica Nova (Czech Republic) International honors from Bourges (France) International honors from Gaudeamus (Netherlands) International honors from Darmstadt (Germany) International honors from The Russolo (Italy) Burtner advises doctoral students through the Composition and Computer Technologies program at UVA and has secured significant grant support for his interdisciplinary work, including from the National Endowment for the Arts. His creative research consistently involves collaborations between musicians, climate scientists, and technologists, supported by funding that recognizes the innovative intersection of these fields. His work has been featured by NASA, PBS NewsHour, the American Geophysical Union, and National Geographic, demonstrating its relevance across scientific and artistic domains. He founded and directs EcoSono, a non-profit organization dedicated to environmental sound art and research. Through EcoSono and the Coastal Future Conservatory, Burtner leads initiatives that bring together artists, scientists, and communities to address environmental challenges through creative practice. His Mobile Interactive Computer Ensemble (MICE) represents an innovative approach to performance technology that has influenced both his teaching methodology and creative output, emphasizing distributed networks and environmental responsiveness in musical performance.

Ann Silversmithمشاهده پروفایل

استاد

• Laser Spectroscopy
• Rare-Earth Doped Materials
• Sol-Gel Glasses
• +۲ مورد دیگر

Ann Silversmith is a Professor of Physics at Hamilton College, specializing in laser spectroscopy of rare-earth-doped solids. Her research includes synthesis and characterization of sol-gel glasses and upconversion laser materials. Research Interests: Focuses on fluorescence dynamics in rare-earth systems, sol-gel processing enhancements, and energy transfer mechanisms. Collaborates with chemistry faculty on multi-institutional NSF-funded projects. Publications: Recent work explores Al³⁺ co-doping effects on fluorescence, post-annealing immersion techniques, and chelation strategies for luminescence enhancement in glasses. Teaching: Instructs quantum physics, advanced laboratories, and interdisciplinary courses like 'Art and Physics of the Image'. Mentors undergraduate researchers extensively.

Andrés I. Ávilaمشاهده پروفایل

دانشیار

• Partial Differential Equations
• Numerical methods for PDEs
• High Performance Computing
• +۱ مورد دیگر

Andrés I. Ávila is an Associate Professor in the Department of Mathematical Engineering at the University of La Frontera, Chile. He holds a Ph.D. in Mathematics (1999) and a postdoctoral fellowship (1999) from the University of Missouri. His research focuses on Partial Differential Equations , Numerical Methods for PDEs , High Performance Computing , and Mathematical Modeling . Education Ph.D. in Mathematics (1999), University of Missouri Postdoctoral Fellow (1999–2000), Universidade Estadual de Campinas His work spans nonlinear PDEs (e.g., Schrödinger systems, combustion theory), high-performance computing (Xeon Phi coprocessors, agent-based models), and environmental modeling (floods, wildfires, crop optimization). Articles highlight interdisciplinary applications in physics, biology, and engineering. He has supervised 8 Master’s and 2 Ph.D. students, advised national projects (e.g., Corfo Innovation , Fondef grants), and co-led the National Laboratory for High-Performance Computing (EMC-02) . Collaborations include institutions in Germany, Brazil, and France.

Melissa Ranhoferمشاهده پروفایل

مدرس

• Marine Science
• Phytoplankton Ecology
• Nutrient Cycling
• +۵ مورد دیگر

Melissa Ranhofer is a Lecturer in the Department of Earth, Environmental, and Sustainability Sciences at Furman University. Her research focuses on phytoplankton community dynamics, nutrient cycling, and invasive aquatic species, particularly the Asian clam Corbicula fluminea. She emphasizes bioremediation strategies to improve water quality in eutrophic systems. Dr. Ranhofer is also an award-winning educator, having received accolades such as the 2017 Outstanding Undergraduate Evening Studies Faculty Award. Education: Ph.D., M.S., and B.S. in geological, environmental, and marine sciences from the University of South Carolina, Columbia. Her teaching philosophy centers on engaged learning, preparing students to address real-world environmental challenges through critical thinking. Professional Activities: Educational outreach liaison for the EES Department's Facebook page, member of the Carolina Geological Society, and frequent presenter at science symposia. She has conducted extensive field and laboratory research on estuarine ecosystems and nutrient dynamics. Research Trends: Her work bridges marine and freshwater systems, addressing invasive species impacts and sustainable water management. Recent publications in Estuaries and Coasts highlight her focus on phytoplankton-nutrient interactions and estuarine ecology. Community Engagement: Engages in outreach through guest lectures at schools and Osher Lifelong Learning Institute, emphasizing phytoplankton's ecological role and bioremediation potential. She has judged science fairs and led field trips to Winyah Bay, SC.

• Agricultural Engineering
• Food Science
• Sustainable Bioeconomy
• +۵ مورد دیگر

Barbara Sturm is a Professor of Agricultural Engineering in Bioeconomic Systems at Humboldt University of Berlin and Scientific Director at the Leibniz Institute for Agricultural Engineering Potsdam-Bornim (ATB). She specializes in sustainable food systems, energy-efficient food processing, and digitalization in agriculture. Her work spans process engineering, sensor technology, and circular bioeconomy systems. Key roles include Vice President of the Leibniz Association and membership in scientific advisory boards for institutions like the Thünen Institute. Sturm's research focuses on optimizing drying technologies, renewable energy integration, and precision livestock farming. Education highlights include a Doctorate from the University of Kassel (2010) and a Habilitation (2018). She has held senior roles at Newcastle University and global research collaborations in China, Australia, and the U.S. Her research interests include: sustainable food systems, energy-efficient processing, drying technology, digital twins, and climate-resilient agriculture. Notable projects include REFS (solar dryers in Kenya), BaumGesundheit (tree health), and LeibnizLabPP (pandemic preparedness). Publications emphasize innovation in food processing, digital tools for agriculture, and waste valorization. Awards include the Anton-Schlüter-Medaille 2018 and Tebo Implementation Prize 2007.

Carolina Torresمشاهده پروفایل

دانشیار

• Postharvest Biology
• Fruit Quality Management
• Plant Physiology
• +۳ مورد دیگر

Carolina Torres is an Associate Professor and Endowed Chair in Tree Fruit Postharvest Systems at Washington State University’s Wenatchee Tree Fruit Research and Extension Center (TFREC). Her research focuses on postharvest biology, fruit quality preservation, and the mitigation of physiological disorders like sunscald and lenticel breakdown. With over 20 years of experience, she integrates non-destructive sensing technologies (e.g., hyperspectral imaging, Vis-NIR spectroscopy) to optimize storage strategies and address environmental impacts on fruit. Her work emphasizes collaboration with the fruit industry to translate research into practical solutions. Key research areas include light and temperature stress effects on fruit, metabolic pathways linked to disorders, and sustainable storage technologies. She leads research groups and has developed predictive models for postharvest quality issues using spectral and biochemical data. No scientific awards are explicitly mentioned, but her contributions include advancing methods for detecting fruit stress pre- and postharvest. She collaborates with global institutions and industry partners to ensure research outcomes align with real-world agricultural challenges. Carolina Torres is affiliated with the Overley Lab in Wenatchee, part of WSU’s CAHNRS, and actively contributes to graduate training and extension programs.

Zimo Wangمشاهده پروفایل

استادیار

• Smart Manufacturing
• Advanced Manufacturing Processes
• Material Characterization
• +۵ مورد دیگر

Zimo Wang is an Assistant Professor at the School of Systems Science and Industrial Engineering, Binghamton University. He holds a PhD in Industrial Engineering from Texas A&M University (2020), an MS in Mechatronics Engineering, and a BS in Industrial Engineering, both from Harbin Institute of Technology, China. His research focuses on smart manufacturing, integrating sensors, AI, and data science to enhance manufacturing processes, including additive manufacturing, precision machining, and material characterization. He explores applications in autonomous systems, smart logistics via UAVs, and sustainable manufacturing. Education: PhD in Industrial Engineering, Texas A&M University (2020) MS in Mechatronics Engineering, Harbin Institute of Technology (China) BS in Industrial Engineering, Harbin Institute of Technology (China) Research Interests: Smart manufacturing and advanced manufacturing processes Machine learning and statistical modeling for process monitoring Acoustic emission (AE) sensing and material characterization Unmanned aerial vehicle (UAV) applications in smart logistics Sustainable manufacturing and quality assurance Recent work emphasizes real-time process diagnostics, nanomachining optimization, and resilient manufacturing systems. His articles highlight innovations in sensor-based approaches, such as Bayesian filtering for dynamic intermittency and vision-based UAV control for material handling. Awards and Recognition: NSF Travel Awards (2015, 2018) Best Student Paper Award, ISERC QCRE Division (2014) INFORMS Student Chapter Cum Laude Award (2017) Advising and Grants: While no students are listed here, his research has been supported by grants from NSF and industry collaborations. Notable contributions include developing autonomous laser kirigami systems and smart sensing frameworks for precision manufacturing. Labs and Teams: Active in Binghamton’s Systems Science and Industrial Engineering research groups, focusing on cyber-physical systems integration and sustainable manufacturing innovations.

• Asphalt Technology
• Bitumen Chemistry
• Road Construction Materials
• +۳ مورد دیگر

Bernhard Hofko is a Professor at Vienna University of Technology (TU Wien), affiliated with the Department of Road Engineering. His research focuses on asphalt and bitumen chemistry, aging behavior, and sustainable road materials. Contributions to asphalt binder characterization via FTIR spectroscopy Development of machine learning models for asphalt performance prediction Leadership in circular economy initiatives for asphalt recycling Recent work explores polymer-modified bitumen chemistry, real-time viscosity monitoring with MEMS sensors, and climate-adaptive asphalt solutions. He supervises multiple theses on topics like photooxidation effects, low-temperature behavior, and energy-efficient asphalt production.

Newton Armstrongمشاهده پروفایل

استاد

• Instrumental and Electronic Composition
• Electronic and Digital Performance
• Sound Art
• +۵ مورد دیگر

Professor Newton Armstrong at City St George's, University of London is a composer, performer, and electronic musical instrument designer whose work bridges instrumental and electronic music with focus on human-technology-environment interactions. Ph.D., Princeton University (2006) M.F.A., Princeton University (2003) M.Mus., University of Melbourne (1996) B.Mus. (Hons), University of Melbourne (1991) His research explores: Instrumental and Electronic Composition through hybrid acoustic-electronic systems Digital Performance via custom software/hardware development Sound Art with environmental acoustics and psychoacoustic phenomena Machine Learning applications in rhythm perception and generation Experimental Music Aesthetics in 20th/21st century contexts From his 15 most recent works, key trends emerge in: Neural network models for expressive timing Spatialized sound installation design Instrument development for enactive performance Contemporary chamber music with extended techniques Temporal structure analysis through mathematical frameworks Urban acoustic ecology applications

Josip Žubrinićمشاهده پروفایل

استادیار

• Applied Mathematics
• Homogenization Theory
• Elasticity and Materials Science
• +۳ مورد دیگر

Dr. Josip Žubrinić is an Assistant Professor in the Department of Applied Mathematics at the Faculty of Electrical Engineering and Computing (FER), University of Zagreb. His research focuses on applied mathematics, homogenization theory, elasticity, and interdisciplinary applications in materials science and quantum systems. He is affiliated with FER's applied mathematics group and actively contributes to the Bibliography (CROSBI) research repository. Dr. Žubrinić's work spans theoretical and applied domains, including: Homogenization of PDEs in heterogeneous media Statistical mechanics models (e.g., Rydberg atoms, Flory polymer models) Combinatorial optimization for settlement planning Mathematical analysis of elastic structures and poroelastic plates Recent research highlights include studies on critical-contrast PDEs, quantum lattice systems, and multiscale modeling of composite materials. His articles demonstrate a strong emphasis on interdisciplinary methods bridging pure mathematics and real-world engineering problems. No scientific awards or grants are explicitly listed in the provided materials. His teaching includes specialized topics like complexity functions in jammed systems and combinatorial models.

Andrew Skidmoreمشاهده پروفایل

استاد

• Remote Sensing
• Geographic Information Systems (GIS)
• Biodiversity Monitoring
• +۴ مورد دیگر

Professor Andrew Skidmore is a Full Professor in the Department of Natural Resources at the Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente. He holds a PhD in Remote Sensing and GIS from the Australian National University and has led research initiatives in vegetation mapping, wildlife habitat assessment, and remote sensing applications for over three decades. His work integrates artificial intelligence, environmental DNA (eDNA), and hyperspectral imaging to advance biodiversity monitoring and ecosystem analysis. Education: PhD in Remote Sensing and GIS, Australian National University; BSc in Forestry, Australian National University Professor Skidmore’s research spans vegetation mapping, hyperspectral remote sensing, AI-driven geoinformatics, and biodiversity assessment. Current projects include the European Research Council (ERC) Advanced Grant (2019-2024) to upscale biodiversity using satellite data and eDNA. His work addresses forest soil acidification, canopy microbiomes, and wildlife behavior responses to human disturbance. Recent publications focus on soil biodiversity prediction via eDNA, LiDAR for tree detection, and hyperspectral analysis of forest traits. He contributes to global biodiversity frameworks through remote sensing-enabled Essential Biodiversity Variables (EBVs) and collaborates with institutions in Kenya, Germany, and Indonesia. Scientific Awards: Schlich Medal (1983), M.R. Jacobs Award (1986), Hedges Bequest (1987), Autometric Award (1990), ESRI Award (1997), Best Conference Paper Presentation (2003), John J Davidson's Award (2005), Talbert Abrams Award (2015), and multiple AGILE and Davidson President’s Awards. He serves on editorial boards for leading journals in remote sensing and GIS and has contributed to over 682 research outputs. His capacity development work spans Australia, Asia, and Africa, with media features on topics like forest monitoring and plastic debris detection.