جست‌وجوی استاد و پژوهشگر

Douglas Sheilمشاهده پروفایل

استاد

• Forest Ecology
• Biodiversity Conservation
• Climate Change
• +۵ مورد دیگر

Prof. Douglas Sheil is a Chairholder in Forest Ecology and Forest Management at Wageningen University & Research. He holds a MA in Natural Sciences from Cambridge and an MSc in Forestry from Oxford. His career includes roles at the University of Oxford, CIFOR (Indonesia), the Institute for Tropical Forest Conservation in Uganda, and the Norwegian University of Life Sciences (NMBU). His research focuses on tropical forest ecology, biodiversity conservation, and human-forest interactions, with over 200 publications. He co-authored the influential textbook Tropical Rain Forests: Ecology, Diversity, and Conservation (2010). Awards include the Biotropica Prize (2004) and the Queen’s Award for Forestry (2015). Education: MA (Natural Sciences, Cambridge), MSc (Forestry, Oxford) Key Roles: Director of Institute for Tropical Forest Conservation (2008–2012), Professor at NMBU (2013–2020) Research Interests: Tropical forest dynamics, climate change impacts, conservation strategies, and the socio-ecological dimensions of forest management. His work spans field studies in Africa, Southeast Asia, and Oceania, emphasizing interdisciplinary approaches to address deforestation, biodiversity loss, and sustainable land use. Recent Trends in Articles: Focus on mycorrhizal networks, oil palm impacts, lightning disturbance, and mammal population responses to human activity. He explores mechanisms linking forest structure to ecosystem services, such as carbon sequestration and water regulation, often integrating remote sensing and global datasets. Awards: Biotropica Prize, Queen’s Award for Forestry Grants/Projects: Studies on lightning effects in African forests, camera trap mammal surveys, and policy analyses for vegetable oil sustainability. Labs/Teams: Leads interdisciplinary groups at Wageningen, collaborating with CIFOR and international networks. Active in IUCN committees to translate science into conservation policy.

Vladimir Itskovمشاهده پروفایل

دانشیار

• theoretical neuroscience
• applied algebraic topology
• neural networks
• +۳ مورد دیگر

Vladimir Itskov is an Associate Professor in the Department of Mathematics at The Pennsylvania State University, affiliated with the Eberly College of Science. His research focuses on theoretical neuroscience, applied algebraic topology, and neural networks. He holds a Ph.D. in Mathematics from the University of Minnesota (2002) and a B.S. from Moscow Institute of Electronics and Mathematics (1995). His career includes roles at the University of Nebraska-Lincoln (2009–2014), Columbia University’s Center for Theoretical Neuroscience (2006–2009), and Rutgers University (2004–2006). Research interests include understanding neural coding, network dynamics, and topological methods in neuroscience. Notable work involves applying algebraic topology to analyze neural correlations and developing models for neural network behavior. He has received grants from NIH, NSF, and DARPA, focusing on projects like olfactory coding and neural network dynamics. His lab, the Mathematical Neuroscience Laboratory, develops computational tools and collaborates on interdisciplinary projects. Software packages are hosted on GitHub (nebneuron repository). Publications span journals such as PNAS, SIAM, and Neural Computation, addressing topics from clique topology to competitive network dynamics. His theoretical contributions emphasize bridging data-driven neuroscience with mathematical rigor.

Dar Robertsمشاهده پروفایل

استاد

• Remote Sensing
• Imaging Spectrometry
• Land Use Change
• +۲ مورد دیگر

Dar Roberts is a Professor in the Department of Geography at the University of California, Santa Barbara, where he directs the Visualization & Image Processing for Environmental Research (VIPER) Lab. His research focuses on advanced remote sensing applications including: Imaging spectrometry for ecosystem analysis Wildfire fuel mapping and fire emissions modeling Drought impact assessment on vegetation Land use/land cover change detection Integration of remote sensing with climate modeling Roberts leads the Southern California Wildfire Hazard Center and has pioneered techniques for mapping wildfire fuels using remote sensing technologies. His work combines field measurements with satellite, airborne, and drone-based sensors to monitor environmental changes.

Geoffrey Cookمشاهده پروفایل

مدرس ارشد

• Volcanology
• Petrogenesis
• Geoscience Education
• +۳ مورد دیگر

Geoffrey Cook is a Senior Lecturer at the Scripps Institution of Oceanography, UC San Diego, within the VC Marine Sciences school and Geosciences Research Division. He holds a PhD in Geology from Washington State University (2009), an M.S. from Boise State University (2002), and a B.A. from Franklin and Marshall College (2000). His research focuses on physical volcanology, including the volcanic evolution of large calderas, petrogenesis of magmas, and geoscience education. Notable projects include studies on the Otowi Member of the Bandelier Tuff and crustal assimilation processes in Iceland’s Fagradalsfjall Fires (2021). He emphasizes innovative teaching methods, such as active learning and experiential education, to address student misconceptions in geoscience. Dr. Cook has received multiple teaching awards, including the 2023 Scripps Outstanding Undergraduate Teaching Award and the 2018 UCSD Panhellenic Chapters Outstanding Faculty Award. His publications span volcanology, geochemistry, and educational pedagogy, with recent work in Nature (2024) and active learning strategies in STEM education. His academic profile reflects a commitment to both advancing geoscience research and improving undergraduate education through evidence-based practices.

Yelda Turkanمشاهده پروفایل

دانشیار

• Computer Vision
• Machine Learning
• Lidar Applications
• +۷ مورد دیگر

Dr. Yelda Turkan is an Associate Professor in the School of Civil and Construction Engineering at Oregon State University, where she leads research in automation, computer vision, and machine learning for sustainable infrastructure. She holds a PhD from the University of Waterloo and dual BS degrees in Civil Engineering and Geomatics Engineering from Istanbul Technical University. Her work focuses on leveraging lidar, digital twins, and BIM to improve construction operations and decision-making in the built environment. She has secured over $4M in grants from NSF, FHWA, and other agencies, and currently leads the NSF Convergence Accelerator-funded 'Deep Reality' project for AI-driven infrastructure management. Education: Ph.D., Civil Engineering, University of Waterloo, 2012 M.S., Engineering Informatics & Remote Sensing, Istanbul Technical University, 2006 B.S., Civil Engineering (double major in Geomatics Engineering), Istanbul Technical University, 2005/2003 Professional Roles: Vice President, International Association for Automation and Robotics in Construction (IAARC) Chair, ASCE Computing Division Education Committee Associate Editor, ASCE OPEN Journal Her research emphasizes automation in construction quality control, infrastructure inspection via drones and lidar, and immersive education tools using VR/AR. Recent projects include automated curb ramp compliance analysis, wildfire impact modeling, and digital twin development for timber structures. She has published over 80 peer-reviewed articles and actively promotes computing integration in civil engineering education and professional practice.

Dieu Tien Buiمشاهده پروفایل

استاد

• Geospatial Artificial Intelligence
• Machine Learning
• GIS and Geomatics
• +۶ مورد دیگر

Dieu Tien Bui is a Full Professor in the Department of Business and IT at the University of South-Eastern Norway (USN) School of Business. His research focuses on Geospatial Artificial Intelligence Machine Learning GIS and Remote Sensing Natural Hazard Modeling Environmental Problems (landslides, floods, soil salinity, biomass) . He has contributed to over 15 recent publications in journals like Science of the Total Environment , Remote Sensing , and Geomorphology , emphasizing hybrid AI models for landslide and flood susceptibility. His work spans Vietnam, India, China, and Iran with applications in climate change adaptation and disaster management. Scientific Awards: Global Highly Cited Researcher PhD Supervision: He has supervised 8 PhD students at institutions including USN, NTNU, and Vietnamese universities.

• Relational Architectural Ecologies
• Bioprotopia
• Planetary Poetics
• +۸ مورد دیگر

Peg Rawes is Professor of Architecture and Philosophy at University College London's Bartlett School of Architecture , where she directs research and leads the MA Architectural History program. Her work bridges architectural theory with philosophy, focusing on relational architectural ecologies through three intersecting areas: human/nonhuman life practices, planetary poetics, and housing ecologies. Director of Research, UCL Bartlett School of Architecture (2023-present) REF2029 Lead for Bartlett School EDICPI for EU TACK project (2020) BAUHOW5 PI for European architecture schools partnership (2016-20) Research explores biophilic design , decolonial architecture , and feminist spatial practices across three streams: Architectural ecologies : Human/nonhuman relations in 'Bioprotopia' (2023), vulnerability visualization (2021) Planetary poetics : Climate emergency dialogues (2021), Irigarayan aesthetics (2020) Housing biopolitics : Care frameworks (2017), Spinozist ethical ratios (2015) Key funded collaborations include EU TACK's Communities of Tacit Knowledge (2020) and AHRC's Equal by Design (2016). She contributes to architectural peer review for journals and international research councils while maintaining global partnerships with institutions like Cornell , ETH Zurich , and University of Minnesota .

Daniel E. Hortonمشاهده پروفایل

دانشیار

• Climate Change
• Atmospheric Science
• Environmental Science
• +۶ مورد دیگر

Daniel E. Horton is an Associate Professor in the Department of Earth, Environmental & Planetary Sciences at Northwestern University's Weinberg College of Arts and Sciences, where he leads the Climate Change Research Group (CCRG). His interdisciplinary work bridges atmospheric science, environmental health, and geoscience through advanced modeling techniques. Education: Ph.D. in Geological Sciences from University of Michigan B.S. in Atmospheric Science from Texas A&M University B.S. in Physics from Tulane University Horton's research spans extreme weather events, near-term societal impacts of climate change, geologic climate evolution, and exoplanet habitability. His group integrates atmospheric, biospheric, cryospheric, hydrospheric, and lithospheric processes using numerical models, environmental observations, and machine learning. Recent work emphasizes environmental justice through neighborhood-scale air quality analysis and transportation electrification impacts. Analysis of his 10 most recent publications (2022-2023) reveals three dominant research thrusts: (1) urban air quality modeling with WRF-CMAQ systems focusing on racial disparities in pollution exposure, (2) transportation electrification impacts on public health and equity, particularly for heavy-duty vehicles, and (3) hydrological extremes including precipitation variability and post-wildfire debris flows. Machine learning applications are increasingly prominent across all research areas. Scientific Awards: NSF CAREER Award (2023) for research on air quality, public health, and equity implications of transportation electrification Horton secured a $600,000 NSF grant supporting both research and educational initiatives, including after-school sustainability programming for Chicago middle schools. His Climate Change Research Group actively recruits graduate students for projects at the intersection of climate science and societal impacts, with strong collaborations across environmental health, urban planning, and engineering disciplines. Current work emphasizes equity-centered climate solutions through fine-scale spatial analysis of pollution and health outcomes.

Michelle CD Bridiمشاهده پروفایل

استادیار

• Neuroscience
• Synaptic Plasticity
• Sleep Research
• +۷ مورد دیگر

Michelle CD Bridi is an Assistant Professor in the Department of Neuroscience at West Virginia University School of Medicine , with a joint affiliation at the Rockefeller Neuroscience Institute . Her research integrates synaptic plasticity , sleep physiology , and neurological conditions to investigate dynamic synaptic regulation under typical and atypical states. Education: BS , McGill University, 2006 PhD , University of Pennsylvania, 2013 Research Focus: The Bridi Lab explores how daily oscillations in excitation/inhibition (E/I) balance are disrupted in Autism Spectrum Disorder (ASD) , aging , and post-stroke states . Current projects address: 1) synaptic adaptation to sleep/wake cycles, 2) E/I imbalance in neurodevelopmental disorders, and 3) molecular mechanisms maintaining neuronal firing rate homeostasis. Publication Trends: Recent work spans REM sleep plasticity , autism models , and neurodegenerative interventions , emphasizing synaptic oscillations , NMDA receptor pathways , and gene therapy applications. Collaborative efforts with Morgan Bridi's lab extend findings to stress and stroke contexts. Grants & Collaborations: Research is funded by NIH/NIGMS , BBRF , and NSF . The lab actively collaborates with cross-institutional teams and is recruiting postdocs and students for ongoing studies.

Ulla-Mari Kinnunenمشاهده پروفایل

استاد

• Health Informatics
• Digitalization
• Evidence-Based Healthcare
• +۳ مورد دیگر

Ulla-Mari Kinnunen is a Professor of Health and Human Services Informatics at the University of Eastern Finland's Department of Health and Social Management, within the Faculty of Social Sciences and Business Studies. She also holds the title of Adjunct Professor in Evidence-Based Research and Development. Her research focuses on health informatics, digitalization in healthcare and social services, evidence-based practices, and informatics competencies for professionals and citizens. She chairs the Finnish nursing terminology (FinCC) and serves on the IMIA Nursing Informatics Board and the Finnish Centre for Evidence-Based Health Care. She supervises 16 doctoral students and coordinates the Health and Human Services Informatics (HHSI) Master’s program. She is a member of the Finnish Publication Forum (Panel 14) and the Editorial Board of JMIR Nursing. In 2021, she was awarded the IMIA fellowship as a Fellow of the International Academy of Health Sciences Informatics. Her research interests include structured data systems, classifications in electronic health records (EHR), and organizational factors influencing digitalization. Key projects include the 'FinCC' research group for nursing terminology and the 'House of Effectiveness' initiative. Her work emphasizes improving healthcare quality through informatics and evidence-based practices. Recent publications highlight studies on information systems implementation, digitalization challenges, and the role of informatics in interprofessional collaboration. She actively contributes to international health informatics education and policy, including the European Summer School in Health Informatics and the TIGER Initiative for workforce development. Grants and Projects: Research Project on Data Resources for Fire Investigation (2023–2025), IMIA Fellowship, and EU-funded initiatives like eHealth4all@eu. Labs/Teams: Health and Human Services Informatics Research Group, FinCC Research Group, and the Finnish Centre for Evidence-Based Health Care.

Eylem Asmatuluمشاهده پروفایل

دانشیار

• Recycling and Reuse of Materials
• Composite Materials Engineering
• Nanotechnology Safety
• +۷ مورد دیگر

Dr. Eylem Asmatulu is an Associate Professor in the Department of Mechanical Engineering at Wichita State University (WSU), part of the College of Engineering. She joined WSU as an educator in 2015, became an Assistant Professor in 2017, and was promoted to her current rank in 2023. Previously, she worked in Environmental Health and Safety at WSU. She currently advises three PhD, three MS, and two BS students, having graduated 13 students since 2015. Her research focuses on recycling and reuse of materials, composite materials engineering, nanotechnology safety, and sustainable manufacturing. She has secured over $1.7 million in grants, published 131+ articles (h-index 26), and contributed to fields like thermal energy storage, biomedical nanomaterials, and aerospace material science. Her work emphasizes interdisciplinary approaches, combining machine learning for material property prediction and addressing safety concerns in nanotechnology across industries. Key projects include flame-retardant composites, biogas production optimization, and superhydrophobic nanofiber applications for water treatment. She actively promotes sustainability through recycling innovation and lean manufacturing practices in aerospace. Dr. Asmatulu’s research has been cited over 2,870 times. Her contributions span academia and industry, with a focus on translating innovations into practical solutions for environmental and industrial challenges.

Kenneth Chelstمشاهده پروفایل

استاد

• Decision Analysis
• Operations Research
• K-12 Mathematics Education
• +۲ مورد دیگر

Dr. Kenneth Chelst is a Professor in the Department of Industrial and Systems Engineering at Wayne State University , where he directs the Engineering Management Program. His work bridges operations research with engineering management and K-12 mathematics education . A Rabbinic Ordination holder from Yeshiva University, he combines analytical rigor with pedagogical innovation. Educational Background: Ph.D., M.S. in Operations Research from MIT B.A. in Mathematics and Physics from Yeshiva College His research focuses on structured decision-making , OR applications in emergency services , and math curriculum development . The NSF-funded Project MINDSET ($3.3 million) and Project MEDeATe highlight his efforts to integrate OR into high school education. His From Percentage to Algebra middle school book and Ford-funded workshops have impacted hundreds of teachers. Scientific Awards: INFORMS President's Award (2011) for K-12 OR outreach Edelman Prize Laureate (2000) for Ford's OR application Multiple teaching awards from Ford Motor Company Dr. Chelst consults with Urban Science Applications Inc. and previously led the INFORMS Roundtable. His courses include Decision and Risk Analysis and Leadership Projects in Engineering Management , emphasizing corporate partnerships and immediate ROI.

• Seismology
• Geophysics
• Antarctic Ice Sheet Dynamics
• +۳ مورد دیگر

Dr. Thanh-Son Pham is an ARC DECRA Research Fellow in the Geophysics Department at The Australian National University’s Research School of Earth Sciences. His research focuses on using seismic waves to study Earth’s interior structures, from polar ice sheets to the inner core. He has pioneered methods like teleseismic P-wave coda autocorrelation and coda correlation wavefield analysis, leading to breakthroughs such as detecting J-waves in the inner core and identifying an innermost inner core layer. His work has been featured in Science , Nature Communications , and international media. He holds a PhD from ANU (2019) and has supervised research projects on Antarctic seismology and earthquake source physics. Awards include the 2024 Zatman lectureship from SEDI. Current projects include probing Antarctic ice sheets via correlation seismology and advancing machine learning tools for deep Earth studies. Education: PhD in Geophysics (ANU, 2019), Graduate Diploma in Earth System Physics (ICTP, 2015), BSc in Applied Mathematics (Hanoi University, 2013) Research interests span seismic source inversion, Antarctic ice dynamics, and inner core anisotropy. His 2024 articles address Hunga Tonga eruption mechanics and PKIKP wave analysis using deep learning. Media highlights include BBC, NYT, and ANU press releases.

• Computer Vision
• Deep Learning
• Semantic Segmentation
• +۳ مورد دیگر

Dr. Guangliang Cheng is an Associate Professor in the Department of Computer Science at the University of Liverpool. His research focuses on deep learning, computer vision, and perception algorithms with applications in remote sensing, medical imaging, and autonomous systems. Prior to his current role, he served as a vice research director in the Autonomous Driving Group at SenseTime and completed postdoctoral research at the Aerospace Information Research Institute, Chinese Academy of Sciences. Ph.D. in Pattern Recognition from the National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA) Postdoctoral Researcher at Aerospace Information Research Institute, Chinese Academy of Sciences (2017–2019) Dr. Cheng’s research integrates computer vision and deep learning to address challenges in semantic segmentation, domain adaptation, and robust detection. Recent work explores wavelet-based multimodal fusion for remote sensing and attention-guided architectures for medical imaging. His 2025 publications span journals like GIScience & Remote Sensing and Knowledge-Based Systems , emphasizing scalable solutions for geospatial and biomedical applications. In 2025, Dr. Cheng’s article trends highlight remote sensing semantic segmentation, cross-domain medical imaging, and drone-based fire detection. His collaborations span institutions such as SenseTime, Chinese Academy of Sciences, and University of Liverpool teams, focusing on frequency-domain fusion, attention mechanisms, and GPU optimization. As a supervisor, Dr. Cheng seeks highly motivated PhD students to join projects supported by scholarships including the Centres for Doctoral Training (CDT) and Duncan Norman Scholarship. He serves as Module Co-ordinator for COMP338: Computer Vision (2024–2025) and actively reviews for top-tier journals and conferences.

• Compact and reconfigurable antennas
• Antenna arrays
• Microwave components
• +۷ مورد دیگر

Dimitrios E. Anagnostou is Associate Professor in the Institute of Sensors, Signals & Systems within Heriot-Watt University’s School of Engineering & Physical Sciences, Edinburgh. He directs an anechoic-chamber & microwave characterisation facility, leads a thriving research group, and is currently recruiting PhD candidates. Education & Career: BSEE, Democritus University of Thrace, Greece (2000) MSEE, University of New Mexico, USA (2002) PhD, University of New Mexico, USA (2005) Post-doc, Georgia Tech (2005-2006) Assistant → tenured Associate Professor, South Dakota School of Mines & Technology (2007-2016) Associate Professor, Heriot-Watt University (2016-present) Research Focus: His work spans compact & reconfigurable antennas, 5G Massive-MIMO arrays, metasurfaces, metamaterials, functional materials (VO 2 ), RF-MEMS, microwave packaging, radar sensing for assisted-living, and AI/deep-learning applications in electromagnetics. He pursues “green” RF electronics printed on paper/organic substrates and hybrid integration of antennas on solar cells. Recent Publication Trends (2022-2025): Output is dominated by metasurface-enabled beam-steering antennas, VO 2 -based reconfigurable devices, radar absorbers/rasorbers, biomedical radar for vital-sign monitoring, and AI-assisted signal processing, with strong emphasis on experimental validation and open-access dissemination. Scientific Awards & Fellowships: IEEE John D. Kraus Antenna Award DARPA Young Faculty Award Marie Skłodowska-Curie Individual Fellowship (H2020) ASEE Campus Star Award Young Alumni Award, University of New Mexico Honored Faculty Award, SDSMT (×4) Distinguished Scientist Living Abroad, Hellenic Ministry of Defense Advising & Grants: He has mentored numerous PhD and MSc researchers; his students have won Best PhD Thesis and faculty-wide Engineering Prizes. He is supported by EU and UK research grants and continuously seeks motivated doctoral applicants. Facilities & Teams: He manages the Microwave Facility (anechoic chamber, mm-wave measurement systems) and collaborates with international academic/industry partners across Europe, North America and beyond.