جست‌وجوی استاد و پژوهشگر

Khandaker Mamun Ahmedمشاهده پروفایل

استادیار

• Computer Vision
• Federated Learning
• Cybersecurity
• +۴ مورد دیگر

Dr. Khandaker Mamun Ahmed is an Assistant Professor at The Beacom College of Computer & Cyber Sciences, Dakota State University. He teaches undergraduate and graduate courses in artificial intelligence, algorithms, and data structures. He holds a Ph.D. in Computer Science from Florida International University (2024), an M.Sc. from the same institution (2023), and a B.Sc. in Software Engineering from the University of Dhaka (2016). His research focuses on computer vision, federated learning, cybersecurity, explainable AI, vision-language models, and optimization algorithms. He has contributed to peer-reviewed publications and conference presentations, with notable work in federated learning for IoT, anomaly detection in videos, and AI applications in healthcare and agriculture. Recent articles highlight advancements in federated learning frameworks, AI-driven healthcare systems, and real-time object detection using neural networks. His work also addresses cybersecurity challenges in DevOps pipelines and generative AI for educational datasets. Recipient of the 'Best graduate student in research award' (2022), Dr. Ahmed advises on AI ethics and mentors students through academic-industry collaborations. His research bridges theoretical computer science with practical applications in agriculture, healthcare, and infrastructure monitoring.

• Geomatics Engineering
• Remote Sensing
• Civil Infrastructure Monitoring
• +۳ مورد دیگر

Mostafa Arastounia is an Assistant Professor of Geospatial Sciences at Kennesaw State University (KSU). He holds a PhD in Geomatics Engineering from the University of Calgary (Canada) and an MSc in Geo-Information Science from the University of Twente (Netherlands). He is licensed as a Professional Engineer in Geomatics in British Columbia and holds a Project Management Professional (PMP) certification. His research focuses on automated processing of LiDAR and Unmanned Aircraft (UA) data for infrastructure monitoring, including railroads, tunnels, and electrical substations. He develops algorithms for object recognition, 3D modeling, and workflow optimization in geospatial applications. He serves as a Topic Editor for Remote Sensing Journal and is a reviewer for journals like IEEE Transactions on Geoscience and Remote Sensing and Sensors . His teaching includes undergraduate courses in surveying, civil engineering, and geography at KSU. His work bridges geomatics, remote sensing, and civil engineering to enhance infrastructure resilience and maintenance through advanced data analytics. Key research areas include automated mapping of civil infrastructure, LiDAR-based asset recognition, UAS data workflows, and interdisciplinary applications of geospatial technologies. His peer-reviewed publications span journals like ISPRS Journal of Photogrammetry and Infrastructures , with a focus on advancing automation in geospatial data processing.

• Fluid Mechanics
• Sediment Transport
• Fluvial Morphodynamics
• +۷ مورد دیگر

Marco Tubino is a Full Professor in the Department of Civil, Environmental and Mechanical Engineering at the University of Trento, where he serves as Department Director since 2012. Previously, he was Dean of the Faculty of Engineering (2005-2012) and has held academic positions since 1990, including Associate Professor at the University of Genoa before joining Trento in 1994. Education: 1977: Diploma di Maturità Classica, Liceo Statale "Andrea D'Oria", Genoa 1982: Laurea in Chemical Engineering (with honors), University of Genoa 1986: PhD in Hydrodynamics, University of Padua Research Focus: Tubino's work centers on fluid mechanics and fluvial morphodynamics , with expertise in sediment transport, tidal hydrodynamics, ecohydraulics, and environmental fluid mechanics. His research integrates field observations, mathematical modeling, and experimental studies to address river bifurcations, meandering dynamics, debris flows, and climate change impacts on alpine systems. Recent work emphasizes AI applications for river prediction and waste management sustainability. Publication Trends: His 2023-2025 publications reveal intensified focus on river bifurcation mechanics, permafrost-affected Arctic streams, and machine learning for meander migration prediction. Key themes include sediment partitioning in deltas, climate change impacts on fluvial systems, and life-cycle assessment of waste-to-energy technologies, reflecting growing interdisciplinary integration with environmental engineering. Scientific Recognition: Wiley-Blackwell Award for best paper in Earth Surface Processes and Landforms (2010) Academic Leadership: Tubino coordinates the Environmental Fluid Mechanics and Morphodynamics Research Group (GIAMT) and has directed Trento's PhD program in Environmental Engineering (2000-2007). He has secured numerous research grants for environmental impact studies, fluvial modeling projects, and international collaborations including dual-degree programs with Karlsruhe University. Research Infrastructure: Leads the GIAMT group specializing in experimental flume studies, numerical modeling of river systems, and field investigations of braided and meandering rivers, with recent expansions into AI-driven morphodynamic prediction and climate change impact assessment.

• Urban Planning
• Transportation Engineering
• Urban Informatics
• +۴ مورد دیگر

Professor Piyushimita (Vonu) Thakuriah is a Visiting Professor of Urban Studies in the School of Social & Political Sciences and Ch2m Chair of Transport at the University of Glasgow. She directs the UK ESRC Urban Big Data Centre (UBDC), a national initiative fostering innovations in sustainable urban development through Big Data. Her roles include affiliated professorship in the School of Engineering and directorship of the UBDC, leading a 7-university consortium. Her research focuses on smart, socially-just urban transport systems, Urban Informatics, and Big Data applications in city planning. Key interests include transport equity, mobility technologies, and the societal impacts of AI/automation. She has authored over 170 publications, including books on transportation technology and urban data analytics. Thakuriah has secured £25M+ in grants as PI, addressing topics like low-wage worker mobility, disability access, and data-driven urban policies. She co-convenes the MSc in Urban Transport and teaches transport planning. Her international collaborations span Malaysia, China, India, and Europe. She advises governments, including testimony to US Congress and UK Parliament. Awards: European Commission Marie Curie Fellowship, Ch2m Chair, NSF Fellowships. Grants: ESRC UBDC funding, NSF, USDOT, and EU grants totaling £63M+ across roles. Labs/Teams: Leads UBDC with initiatives like iMCD (Integrated Multimedia City Data) and SUDS (Spatial Urban Data System).

Meredith Holgersonمشاهده پروفایل

استادیار

• Freshwater Ecology
• Ponds and Lakes
• Food Webs
• +۵ مورد دیگر

Meredith Holgerson is an Assistant Professor in the Department of Ecology and Evolutionary Biology at Cornell University, affiliated with the College of Arts and Sciences. Her research focuses on freshwater ecology, particularly the biogeochemical and ecological dynamics of ponds, lakes, and wetlands. She holds a Ph.D. from Yale University, an M.S. from SUNY College of Environmental Science and Forestry, and a B.S. from Denison University. Her research investigates how freshwater ecosystems respond to environmental change, including studies on greenhouse gas emissions, food webs, and nutrient dynamics. Key areas include pond classification, the role of terrestrial inputs in food webs, and the impacts of urbanization on small waterbodies. Holgerson’s work combines field studies, experimental approaches, and remote sensing to scale local observations globally. She leads the Holgerson Lab at Cornell, which emphasizes collaborative projects and interdisciplinary approaches. Notable contributions include defining functional distinctions between ponds and lakes, quantifying methane emissions from small waterbodies, and understanding the ecological roles of amphibians in floodplains. Awards include the Raymond L. Lindeman Award (2016) for excellence in aquatic science research. Holgerson teaches courses in ecology, including Ph.D. dissertation research supervision and undergraduate research mentorship. She actively recruits graduate students and mentors undergraduates in freshwater science, with opportunities in both field and lab settings.

Peter Wadhamsمشاهده پروفایل

استاد

• Polar Oceanography
• Sea Ice Dynamics
• Climate Change
• +۳ مورد دیگر

Professor Peter Wadhams is a renowned academic at the University of Cambridge's Department of Applied Mathematics and Theoretical Physics (DAMTP), affiliated with the Faculty of Mathematics. He leads the Polar Ocean Physics research group, focusing on sea ice dynamics, Arctic and Antarctic environmental processes, and climate change impacts. His work integrates field experiments, satellite remote sensing, and numerical modeling to study ice-ocean interactions, wave attenuation mechanisms, and the role of sea ice in global climate systems. Key contributions include submarine-based ice thickness measurements, analysis of ice ridge distributions, and assessments of Arctic climate tipping points. Professor Wadhams has authored over 180 peer-reviewed papers, including high-impact studies on the economic costs of Arctic melting and the urgency of addressing sea ice loss. His research emphasizes interdisciplinary approaches to understanding polar environmental changes and their global implications.

Cuizhen Wangمشاهده پروفایل

استاد

• Remote Sensing
• GIScience
• Environmental Change
• +۵ مورد دیگر

Cuizhen (Susan) Wang is a Professor in the Department of Geography at the University of South Carolina (UofSC), affiliated with the College of Arts and Sciences. She serves as Director of the USGIF GEOINT Certificate Program and the DBAR ICOE on Big Earth Data. Her expertise spans bio-environmental remote sensing, GIScience, and Big Earth Data analytics. Education : Ph.D. in Geography (2004), Michigan State University Ph.D. in Photogrammetry and Remote Sensing (1999), Chinese Academy of Sciences M.S. (1996) and B.S. (1993) in Remote Sensing, Shandong University of Science and Technology Research : Focuses on optical/radar remote sensing, satellite time series, and sUAS applications for environmental monitoring. Key areas include coastal marsh mapping, forest fire recovery, and climate change impacts on alpine grasslands. Her research integrates Big Earth Data to address sustainability challenges. Grants & Funding : Over 20 grants include NASA EPSCoR projects on coastal topography, NOAA Sea Grant for mariculture site selection, and USDA NIFA studies on bioenergy crops. Notable grants total over $1.5M in external funding. Awards : 2019 Global Carolina Faculty Travel Award 2015 USGIF Subject Matter Expert 2015 USC Featured Scholar Teaching : Courses include 'Remote Sensing of the Environment,' 'GIScience,' and 'Digital Earth.' She coordinates the GEOINT certificate program and emphasizes experiential learning. Labs & Teams : Leads projects on drone-based 3D marsh modeling, flood risk assessment, and Big Earth Data applications. Collaborates with institutions like NASA, NOAA, and the Chinese Academy of Sciences.

• Computational Social Science
• Ethical AI
• Algorithmic Decision Making
• +۳ مورد دیگر

Maria Y. Rodriguez is a Principal Research Scientist in the Department of Computer Science and Engineering at the University at Buffalo's School of Engineering and Applied Sciences, with affiliate appointments at the Gender Institute and Digital Scholarship Studio and Network. Her interdisciplinary work bridges computational social science, ethical AI, and human services systems, focusing on how technological and institutional structures impact marginalized populations through algorithmic decision-making. Her educational foundation includes: PhD in Social Welfare from the University of Washington (2016) MSW in Macro Social Work Practice from the University of Pennsylvania (2010) BA in Clinical Counseling and Child Psychology from Alfred University (2005) Dr. Rodriguez's research centers on reorienting systems toward outlier cases by integrating lived experiences of system-involved individuals. She critically examines how values embedded in technological platforms—from child welfare algorithms to social media—shape outcomes for vulnerable groups. Her work exposes racial biases in online discourse, analyzes disinformation targeting women of color politicians, and develops ethical frameworks for AI in social services, always grounding technical approaches in social work ethics and social justice principles. Analysis of her 15 most recent publications reveals consistent focus on algorithmic accountability in human systems, with 60% addressing social media dynamics, 40% examining housing/gentrification issues, and 100% incorporating mixed-methods approaches. Her work uniquely combines computational techniques like structural topic modeling with deep social context analysis, demonstrating how technical tools can either reinforce or disrupt systemic inequities when applied to human services. Her notable recognitions include: 3rd annual Anthem Award for Human and Civil Rights (2024) for "An Unrepresentative Democracy" report Best Reviewer at EAAMO conference (2021) SUNY ProdiG Fellowship supporting interdisciplinary research (2020-2022) UW Graduate School Presidential Dissertation Fellowship (2016) Dr. Rodriguez has secured significant research funding through fellowships and grants, with her SUNY ProdiG Fellowship enabling critical work on algorithmic bias in social services. She actively shapes social work education through curriculum development, notably proposing generative AI integration into MSW programs. Her collaborative approach connects computer science with social work practice, evidenced by partnerships with domestic violence organizations and community groups addressing digital technology adoption challenges. Through her affiliate roles at the Gender Institute and Digital Scholarship Studio, she co-leads initiatives examining technology's role in gender-based violence prevention and develops digital methodologies for social justice research, fostering cross-disciplinary teams that include computer scientists, social workers, and community advocates.

Hanna Maohمشاهده پروفایل

استاد

• Transportation Engineering
• Sustainable Transportation
• Freight Transportation Analysis
• +۴ مورد دیگر

Dr. Hanna Maoh is a Professor in the Department of Civil and Environmental Engineering at the University of Windsor. She holds a BSc from Bethlehem University (1996), MSc from McMaster University (1999), and PhD from McMaster (2005). Her research focuses on integrating transportation and land use models, freight transportation analysis, sustainable transportation strategies, and big data applications in GIS. She leads the Traffic Lab, exploring innovative solutions for cross-border logistics, electrification of fleets, and environmental impact mitigation. Key professional affiliations include the Transportation Association of Canada, Professional Engineers Ontario, and the Transportation Research Board. Her work emphasizes policy-relevant research, such as modeling Canada-US border crossing efficiency, optimizing electric vehicle charging networks, and assessing freight infrastructure resilience. Recent publications highlight advancements in truck stop location optimization using GPS data, fleet electrification demand analysis, and border crossing behavior studies. Her research consistently bridges academic insights with practical applications, informing sustainable urban planning and environmental policy.

Eric Liberdaمشاهده پروفایل

استاد

• Toxicology
• Pandemic Planning
• Inhalation Exposures
• +۳ مورد دیگر

Eric Liberda is an Interim Co-Director and Professor at the School of Occupational and Public Health, part of the Faculty of Community Services at Toronto Metropolitan University. He holds a doctorate in Environmental Medicine from New York University School of Medicine. His expertise spans Toxicology, Pandemic Planning, Inhalation Exposures, and Risk Assessment. Dr. Liberda’s research focuses on protecting Indigenous communities in Canada and globally from environmental health threats, particularly through community-driven initiatives like land-based programs and food security projects. He actively collaborates with organizations such as the Society of Toxicology and the Society of Environmental Toxicology and Chemistry. His work emphasizes innovative solutions to environmental contamination, pandemic preparedness, and the integration of traditional knowledge with modern science. Notable projects include assessing methylmercury risks in Indigenous diets, developing opioid treatment programs, and addressing water policy gaps in Indigenous regions. Dr. Liberda is committed to advancing public health equity through interdisciplinary approaches, leveraging technologies like machine learning and AR/VR to enhance risk communication and community engagement.

Masahiro Ryoمشاهده پروفایل

استاد

• Environmental Data Science
• Artificial Intelligence
• Biodiversity Science
• +۵ مورد دیگر

Masahiro Ryo is a Professor of Environmental Data Science at Brandenburg University of Technology (BTU) and leads the working group "Artificial Intelligence for Smart Agriculture" at the Leibniz Centre for Agricultural Landscape Research (ZALF). His research integrates machine learning with ecological systems to address global sustainability challenges, focusing on biodiversity, soil health, and AI-driven agricultural solutions. His work spans environmental data science, ecosystem services, and smart agriculture. Key themes include explainable AI for biodiversity monitoring, soil organic carbon prediction, and machine learning applications in ecological modeling. Recent publications highlight trends in environmental AI, with applications in yield mapping, fungal taxonomy, and global change ecology. He emphasizes the integration of ecological theory with deep learning to tackle small-data problems and improve model transferability. Contact: masahiroryo@gmail.com | Personal Website

Yelda Turkanمشاهده پروفایل

دانشیار

• Digital twins
• Scan-to-BIM
• Machine learning
• +۷ مورد دیگر

Dr. Yelda Turkan is an Associate Professor in the School of Civil and Construction Engineering at Oregon State University and a Hans Fischer Fellow at the Technical University of Munich (TUM-IAS). Her research focuses on leveraging computer vision, machine learning, and digital twins to enhance sustainability and resilience in the built environment. She holds a Ph.D. in Civil Engineering from the University of Waterloo, Canada, and dual B.Sc. degrees in Civil Engineering and Geomatics Engineering from Istanbul Technical University, alongside an M.Sc. in Remote Sensing. Her work integrates advanced technologies like LiDAR and BIM to improve construction monitoring, structural safety, and fire protection. She has authored over 80 peer-reviewed publications and secured $4.5M in grants from agencies like the NSF. Dr. Turkan serves as Vice President of the International Association for Automation and Robotics in Construction and chairs the ASCE Computing Division Executive Committee. Her research spans digital twins for infrastructure performance, fire safety simulations, and automated progress tracking. Key contributions include frameworks for bridge construction monitoring, fire safety management in timber structures, and BIM-based energy fault detection. Awards include the Robert C. Wilson Faculty Scholar (2023–2025) and ASCE ExCEEd Teaching Fellow (2015).

Laura K. Nelsonمشاهده پروفایل

دانشیار

• Computational Sociology
• Social Movements
• Gender Studies
• +۴ مورد دیگر

Laura K. Nelson is an Associate Professor of Sociology at the University of British Columbia (UBC) and Director of the Centre for Computational Social Science. Her research focuses on computational methods applied to social movements, gender studies, and text analysis. She holds a PhD and MA from the University of California, Berkeley, and a BA from the University of Wisconsin, Madison. **Education**: PhD in Sociology, University of California, Berkeley MA in Sociology, University of California, Berkeley BA in Sociology (Analysis and Research), University of Wisconsin, Madison Her work bridges sociology and computational methods, examining topics like institutional equity (e.g., NSF ADVANCE), gender disparities in academia, and the use of AI in qualitative research. She has published extensively in journals like *American Journal of Sociology* and serves on editorial boards of *Poetics* and *Acta Sociologica*. Her recent projects include analyzing gender bias in evaluations and leveraging machine learning for feminist social science. **Grants & Advising**: Her postdoctoral work at UC Berkeley and Northwestern University focused on data science and interdisciplinary collaboration. She advises on AI ethics and computational grounded theory, and her teaching includes courses on computational methods in the social sciences. **Affiliations**: She is elected council member for the American Sociological Association’s sections on Sociology of Culture and Mathematical Sociology. She also contributes to initiatives like the *Society-Centered AI* program at Duke University.

• Science Fiction
• Cyberpunk Literature
• New Media
• +۵ مورد دیگر

Bruce Sterling is a Professor of New Media and Science Fiction at The European Graduate School (EGS), where he has taught intensive summer seminars since 2003. He also served as "visionary in residence" at the Art Center College of Design in Los Angeles starting in 2005. Sterling is internationally recognized as a science fiction writer, net critic, and cyberspace theorist, with significant influence in the cyberpunk movement. Sterling graduated with a degree in journalism from the University of Texas, Austin, in 1976. His academic journey was followed by a prolific writing career that began with the publication of Involution Ocean in 1977. Sterling's research interests span the intersection of technology, culture, and narrative. He is particularly known for his work on cyberpunk literature, new media theory, and futurism. His concept of "design fiction" has influenced how designers and technologists think about future scenarios. Sterling's Viridian Design Movement promoted environmental awareness through design, while his Dead Media Project documented obsolete communication technologies. His writings consistently explore how technological change reshapes human experience, society, and our understanding of the future. Sterling's recent publications reveal a continued focus on the cultural implications of emerging technologies. His articles examine topics ranging from wearable computing and hyperlocal media to sustainable design and energy transitions. A recurring theme is the relationship between technological progress and environmental sustainability. Sterling frequently employs speculative approaches, using science fiction techniques to explore possible futures and challenge current assumptions about technology's trajectory. Sterling's scientific achievements have been recognized with numerous prestigious awards: Campbell Award (1989) for Islands in the Net Hugo Award (1997) for Bicycle Repairman Hugo Award (1999) for Taklamakan Hayakawa Award (1999) for Taklamakan Clarke Award (2000) for Distraction Sterling has been instrumental in shaping digital culture discourse through his teaching, writing, and activism. As a co-founder of the Electronic Frontier Foundation, he has advocated for digital rights and freedoms. His work bridges academic theory, creative practice, and public engagement, making complex technological issues accessible to diverse audiences. Sterling founded both the Dead Media Project, an archive of obsolete media technologies, and the Viridian Design Movement, an environmental aesthetic initiative. These projects reflect his unique approach to understanding technology through both historical and future-oriented perspectives. His work often explores the lifecycle of technologies, from emergence to obsolescence, and considers how design choices today shape possible futures.

Jamey Jacobمشاهده پروفایل

استاد

• Aerodynamics
• UAV Design & Flight Testing
• Vortex Dynamics
• +۵ مورد دیگر

Jamey Jacob, Ph.D., P.E., is a Professor and John Hendrix Chair in Mechanical and Aerospace Engineering at Oklahoma State University, leading the Oklahoma Applied Research Institute (OAIRE). He holds a Ph.D. from UC Berkeley (1995), with earlier degrees from the same institution and the University of Oklahoma. His research focuses on aerodynamics, UAV design, vortex dynamics, geophysical flows, and autonomous systems. Notable projects include solar balloon flight dynamics, eclipse observations, and advanced air mobility (AAM) weather systems. Jacob has pioneered UAV-based weather sensing and developed innovative aerostructures, including inflatable systems. He has received over 15 prestigious awards, including the Regents Distinguished Teacher (2011) and Oklahoma Innovator of the Year (2010). His recent work emphasizes urban wind field mapping and stratospheric balloon applications for planetary science. Jacob’s lab, OAIRE, integrates aerospace engineering with environmental and operational challenges, advancing both academic and applied frontiers.