جست‌وجوی استاد و پژوهشگر

David H. Uttalمشاهده پروفایل

استاد

• Mental Representation
• Cognitive Development
• Spatial Cognition
• +۴ مورد دیگر

David H. Uttal is a Professor of Education and Psychology at Northwestern University, holding dual appointments in the School of Education and Social Policy and the Weinberg College of Arts and Sciences. His research focuses on cognitive development, spatial cognition, and symbolic representation, with a particular emphasis on STEM education and spatial thinking's role in academic achievement. He earned his PhD in Psychology from the University of Michigan in 1989. Uttal has received prestigious awards, including the International Mind, Brain, and Education Society’s Research Translation Award (2022) and the George A. Miller Award from the American Psychological Association (2014). He has served on grant review panels for the U.S. Department of Education and editorial boards for journals like Merrill-Palmer Quarterly. His work bridges theory and practice, investigating how spatial skills influence STEM learning and developing curricula to enhance spatial reasoning. He co-leads the S.T.A.R. (Spatial Thinking and Representations) Lab and collaborates with the Spatial Intelligence and Learning Center (SILC), focusing on interdisciplinary spatial education. His research spans museum-based learning, GIS applications, and the cognitive foundations of spatial thinking. Key Projects: STAR Lab, SILC, spatial training interventions, and spatial assessment tools Grants: NSF-funded projects on spatial cognition and geospatial education Service: Fellow of the American Psychological Association, roles in professional organizations like the Cognitive Development Society Uttal’s contributions address spatial skill gaps, equity in STEM, and the design of effective educational technologies to support lifelong learning.

Stefanie Jegelkaمشاهده پروفایل

دانشیار

• Algorithmic Machine Learning
• Optimization Algorithms
• Discrete and Combinatorial Machine Learning
• +۷ مورد دیگر

Stefanie Jegelka is an Associate Professor (on leave) at MIT's Department of Electrical Engineering and Computer Science, and a Humboldt Professor at Technical University of Munich (TU Munich). She is a member of CSAIL (Computer Science and Artificial Intelligence Laboratory), IDSS (Institute for Data, Systems, and Society), and Machine Learning at MIT. Her research spans algorithmic machine learning with focus on modeling, optimization algorithms, theory, and applications. Dr. Jegelka completed her PhD at the Max Planck Institutes in Tuebingen and ETH Zurich, followed by a postdoc at UC Berkeley's AMPlab and computer vision group. Her academic journey reflects a strong foundation in both theoretical and applied aspects of machine learning. Her research focuses on exploiting mathematical structure for discrete and combinatorial machine learning problems, robustness, and scaling machine learning algorithms. Key areas include submodular optimization, graph neural networks, invariant and equivariant learning, and representation theory in machine learning. Her work bridges theoretical foundations with practical applications across various domains, with particular emphasis on how mathematical structure can enhance algorithmic performance. Dr. Jegelka's recent publications demonstrate significant contributions to understanding the theoretical properties of graph neural networks, developing methods for invariant learning, and advancing representation learning techniques. Her work consistently shows strong connections between mathematical structure and machine learning performance, with applications spanning natural language processing, computer vision, and scientific domains. Sloan Research Fellowship NSF CAREER Award DARPA Young Faculty Award Dr. Jegelka has advised numerous graduate students and postdocs, many of whom have gone on to successful careers in academia and industry. Her research has been supported by prestigious grants from NSF, DARPA, ONR, and industry partners including Google, Two Sigma, and Adobe. She serves as Program Chair for ICML 2022 and has held numerous editorial and organizational roles in the machine learning community. She leads a research group investigating fundamental questions in machine learning, particularly how mathematical structure can be leveraged to develop more efficient, robust, and scalable learning algorithms. Her group collaborates across disciplines, connecting theoretical machine learning with applications in science and engineering, and has produced influential work on submodularity, graph representation learning, and invariant learning methods.

Dava Newmanمشاهده پروفایل

استاد

• Aerospace Biomedical Engineering
• Advanced Space Suit Design
• Human Performance in Microgravity
• +۳ مورد دیگر

Dr. Dava Newman is the Apollo Program Professor of Astronautics at MIT and Director of the MIT Media Lab. She holds joint appointments in the Institute for Data, Systems, and Society and Harvard-MIT Health, Sciences, and Technology. Her research focuses on aerospace biomedical engineering, advanced spacesuit design, and human performance in microgravity. Newman has led over 4 spaceflight missions, including the Skinsuit project on the ISS and the BioSuit planetary EVA system. She served as NASA Deputy Administrator (2015-2017), advocating for Mars exploration and innovation. Her honors include the NASA Distinguished Service Medal and AIAA Fellow status. Education: Ph.D. in Aerospace Biomedical Engineering, MIT M.S. in Aerospace Engineering and Technology & Policy, MIT B.S. in Aerospace Engineering, University of Notre Dame Research Interests: Newman’s work spans spacesuit innovation (BioSuit, Skinsuit), human adaptation in extreme environments, and policy for sustainable space exploration. She integrates biomechanics, AI, and VR for climate science communication (e.g., Earth Mission Control platform) and planetary exploration tools (OGIVE). Awards: NASA Distinguished Service Medal (2017) AIAA Jeffries Aerospace Medicine Award (2020) Women in Aerospace Leadership Award (2019) Advising & Grants: Supervised 90 graduate theses and mentored 200+ undergraduates. Key grants include NASA’s RESOURCE Project and MIT’s Climate Modeling Initiatives. Collaborates internationally on lunar missions and radiation protection systems. Labs/Teams: Leads the Newman Aerospace & Biomechanics Lab at MIT, pioneering wearable tech for space and Earth. Active in the MIT Media Lab’s interdisciplinary projects on climate and space policy.

• Generative AI
• Computer Vision
• Deep Learning
• +۶ مورد دیگر

Dr. Mohamed Saadeldin is an Assistant Professor at the School of Computer Science, University College Dublin (UCD). He holds a B.Sc. (Honours) in Electrical & Electronic Engineering from the University of Khartoum (2005) and a Ph.D. in Computer Science from UCD (2013). His research spans generative AI, computer vision, and foundation models, with applications in healthcare, biomedicine, robotics, and energy. Recently, he has focused on AI-driven solutions for healthcare disparities, such as automated breast cancer screening using low-cost ultrasounds, and multimodal foundation models for precision medicine. He also explores LLM-driven UAV navigation and energy grid management using transformer models. Education: B.Sc. (Honours) in Electrical & Electronic Engineering, University of Khartoum, 2005 Ph.D. in Computer Science, University College Dublin, 2013 Teaching: Coordinates modules in Computer Graphics, Data Structures and Algorithms, and Mobile Computing at UCD’s joint college in China (BDIC). His research interests include generative AI for healthcare, computer vision in robotics, and deep learning for agricultural optimization. Notable projects include vision foundation models for medical imaging, collaboration with Systems Biology Ireland on multimodal models for drug repurposing, and energy grid management via smart meter data analysis. He has authored/co-authored over 30 publications, including IEEE transactions and book chapters. Grants and collaborations involve industry partnerships on load disaggregation and academic projects like VistaMilk for dairy sector applications. His early work on ultrasonic systems for indoor localization and gesture control demonstrates his long-standing expertise in signal processing and human-AI interaction.

• Hydrology
• Remote Sensing
• Flood Risk Management
• +۷ مورد دیگر

Fiachra O'Loughlin is an Assistant Professor in the School of Civil Engineering at University College Dublin, specializing in Hydrology and Remote Sensing. He directs the Dooge Centre for Water Resources Research, focusing on water resources engineering, hydraulic studies, and climate adaptation. His research integrates hydrological modeling with remote sensing to address extreme weather impacts. Previously, he held positions at the University of Bristol and the University of the West of England, teaching hydrological modeling and flood risk management. PhD from UCD Professional Certificates in University Teaching & Learning Research interests include flood risk prediction, multi-hazard risk assessment, and peatland dynamics. Key projects involve developing high-accuracy terrain maps and optimizing hydrological models for ecological relevance. He coordinates modules like Applied Hydrology and Hydraulic Engineering Design, and leads grants on climate change adaptation. His work bridges academic research with policy, particularly through Earth Institute collaborations. Publications emphasize advanced modeling techniques, remote sensing applications, and climate resilience strategies. Notable contributions include quantifying multi-hazard risks and improving flood forecasting via satellite data integration.

Katy Appletonمشاهده پروفایل

دانشیار

• GIS-based landscape visualization
• Environmental management decision-making
• Spatial technology applications
• +۳ مورد دیگر

Katy Appleton is an Associate Professor in the School of Environmental Sciences at the University of East Anglia. She teaches on Environmental Sciences and Geography degree programs, organizing the first-year Research & Field Skills module and co-teaching GIS Skills for Project Work. As Course Director for Environmental Sciences degrees, she oversees BSc, MSci, and industry-linked programs. Her research focuses on GIS-based landscape visualization for environmental management, stakeholder communication, and multifunctional landscape assessment. She has supervised PhD students including Jacqueline Zavala, Sarah Taigel, and Nick Bearman. Key projects include the EU-funded RUFUS initiative for rural multifunctionality policy and the RELU Biomass project on spatial technology in landscape management. She is Research Officer for the SSEVREL virtual reality facility and supports GIS integration across research and teaching. Her work contributes to UN Sustainable Development Goals related to climate action and responsible consumption. Research interests emphasize perceptions of visualization methods, real-time landscape modeling, and participatory decision-making in coastal and agricultural contexts. Over 25 publications span GIS applications, spatial data collection via web tools, and climate change impacts on landscapes. She has led or contributed to projects like the Smart Data Analytics initiative for business and local government, advancing data-driven solutions in environmental planning. Her expertise bridges geospatial technology, environmental policy, and stakeholder engagement in landscape management.

• Image Processing
• Wavelet Transform
• SAR Imaging
• +۲ مورد دیگر

Dr. Haixia Bi is a Post-Doctoral Research Fellow in Electronics, Computing and Mathematics at the University of Derby. Her research develops advanced computational methods for image processing, big data analytics, and educational technology. Bi specializes in polarimetric SAR image segmentation using 3D wavelet transforms and Markov models. Additional work examines Docker-based e-learning systems and geospatial data frameworks. Her publications address renewable energy modeling and visualization challenges in earth observation data.

Martin Gibbsمشاهده پروفایل

استاد

• Historical Archaeology
• Maritime Archaeology
• Pacific Archaeology
• +۴ مورد دیگر

Martin Gibbs is Professor of Australian Archaeology within the School of Humanities, Arts, and Social Sciences at the University of New England. Appointed in 2014, he has previously taught at the University of Western Australia, James Cook University and University of Sydney. His academic journey began with a BSc (Hons) from the University of Western Australia, followed by a PhD from the same institution in 2006. Gibbs' research focuses on historical and maritime archaeologies of the Australia-Pacific region, with particular emphasis on convict systems, Pacific archaeology, and maritime heritage. His work bridges academic research with public engagement through digital platforms like the Convict Landscapes interactive webmap (https://convictlandscapes.com.au/). Current major projects include 'Landscapes of Production and Punishment' exploring industrial aspects of the convict system, and research on WWII sites in the Solomon Islands conducted in collaboration with the Solomon Islands National Museum. His publication record demonstrates consistent scholarly output, with recent articles examining convict labor systems, maritime industries, and Pacific archaeology. The research trends show a growing integration of digital humanities approaches with traditional archaeological methods, particularly in mapping convict landscapes and life courses. His work increasingly incorporates interdisciplinary perspectives, bringing together archaeology, history, and digital technologies. Society of Antiquaries (London) membership Gibbs has supervised numerous PhD students to completion, with research topics spanning convict archaeology, maritime heritage, Pacific archaeology, and WWII sites. His supervision record demonstrates a commitment to developing the next generation of archaeologists. Current research includes ARC-funded projects examining convict labor management and industrial aspects of penal systems. He co-founded the Archaeology of Sydney Research Group and established NSW Archaeology Online, a digital archive preserving 40 years of archaeological reports. Gibbs maintains active research laboratories and field projects, particularly through the 'Landscapes of Production and Punishment' project which involves collaboration between UNE, UTas and the Port Arthur Historic Site Management Authority. His work with the Solomon Islands National Museum represents significant international engagement and capacity building in Pacific archaeology.

Sanjeev Kumar Srivastavaمشاهده پروفایل

دانشیار

• Geographical Information Systems (GIS)
• Remote Sensing
• Natural Resources Management
• +۳ مورد دیگر

Associate Professor Sanjeev Kumar Srivastava is an academic in the Department of Geospatial Analysis at the University of the Sunshine Coast (UniSC), Queensland, Australia. He holds a PhD in Geographical Sciences from The Australian National University and specializes in GIS, remote sensing, and natural resource management. His teaching focuses on spatial science courses, including GIS, remote sensing, and geospatial analysis, employing innovative pedagogical methods like field-based learning and immersive visualization. Dr. Srivastava's research emphasizes fire ecology, natural resource conservation, and GIS education. He leads projects funded by organizations such as the Asia-Pacific Network Global Change Research and the Australian Koala Foundation. Notable awards include the 2018 Asia-Pacific Spatial Excellence Award and a 2013 OLT Citation for teaching excellence. Education: PhD in Geographical Sciences, Australian National University Committees: SmartSat CRC Education & Training College Member Spatial Information and Cartography Commission Co-chair His research spans GIS applications in disaster management (e.g., cyclone tracking, wildfire modeling) and ecosystem conservation (e.g., Sundarbans World Heritage Site). He actively supervises HDR and Honours students on topics like bushfire risk mitigation and koala habitat recovery.

Matthew Plumleeمشاهده پروفایل

مدرس

• Computer Science
• Human-Computer Interaction
• Data Visualization
• +۳ مورد دیگر

Matthew Plumlee is a Principal Lecturer in the Department of Computer Science at the University of New Hampshire's College of Engineering and Physical Sciences. He holds a Ph.D. and B.S. in Computer Science from the same institution. His research focuses on data visualization, human-computer interaction, and geospatial systems, with notable contributions to weather display design, marine navigation tools, and underwater behavior visualization of animals like humpback whales. Plumlee has authored numerous articles on topics ranging from hydrographic data processing to 3D visualization techniques in oceanography and robotics. His educational background includes advanced degrees from UNH, and he teaches courses such as Introductory Scientific Programming, Data Structures, and Software Engineering. His work frequently integrates interdisciplinary approaches, combining computer science with marine science and environmental modeling. Key projects include the GeoCoastPilot system for port navigation and the GeoZui3D platform for oceanographic data fusion. Plumlee's publications span over two decades, emphasizing user-centered design principles and real-time data visualization challenges. He collaborates with institutions like CCOM (Center for Coastal and Ocean Mapping) to develop innovative geospatial tools for maritime and environmental applications. His research also addresses cognitive aspects of interface design, such as comparing zooming versus multiple window techniques for visual tasks.

Margaret Schedelمشاهده پروفایل

استاد

• Interactive Media
• Sound Art
• Music Technology
• +۴ مورد دیگر

Margaret Schedel is a Professor in the Department of Art at Stony Brook University, with an affiliation in the Department of Music. Her work bridges classical music training, sound art, and computational science, focusing on interdisciplinary projects that integrate technology and the arts. She leads the Making Sense of Data Workgroup at the Institute of Advanced Computational Science and co-directs computer music initiatives. Her research spans interactive multimedia opera, virtual reality experiences, sound art installations, and innovative interfaces for music creation. Notable projects include The King Listens , a telematic opera, and RhumbLine , an exploration of biomimetic musical robots. She also investigates sonification techniques for healthcare applications, such as gait rehabilitation for Parkinson’s patients. Her recent articles highlight trends in inclusive design for music technology, sonification of scientific data, and reimagining traditional instruments through feminist perspectives. She advocates for accessibility in hackerspaces and gender equity in STEAM fields. Her work often merges artistic expression with cutting-edge computational methods, reflecting her dual focus on creativity and scientific inquiry. Margaret’s contributions extend to education through courses on electronic music, sound art, and interdisciplinary collaboration. She has pioneered pedagogical frameworks for notation in digital performance and contributed to the development of open-source tools like softVNS for video processing.

Brooke Belisleمشاهده پروفایل

دانشیار

• Comparative Media Studies
• Media Theory
• Media Archaeology
• +۶ مورد دیگر

Brooke Belisle is an Associate Professor in the Department of Art at Stony Brook University, affiliated with the College of Arts and Sciences and the Institute for Advanced Computational Science (IACS). Her research focuses on the comparative history and theory of media aesthetics, examining the intersections of photography, cinema, digital media, and scientific visualization. She directs the MA/PhD Art History program and the interdisciplinary Graduate Certificate in Media, Art, Culture, and Technology. Belisle holds a PhD in Rhetoric from UC Berkeley, with emphases in Film and New Media, a master’s from NYU’s Interactive Telecommunications Program, and a bachelor’s in English from Princeton University. Her work has been supported by prestigious fellowships including the American Council of Learned Societies and the Getty Foundation. Her research explores how technological and social transformations shape media practices, from 19th-century visual culture to contemporary VR. Key themes include immersive technologies, media archaeology, and the interplay between art and science. She has published widely in journals like Journal of Visual Culture and authored Depth Effects: Dimensionality from Camera to Computation (2024). Awards: National Endowment for the Humanities, Stony Brook Trustees Faculty Award Roles: Board member of Journal of Visual Culture , leadership in Society of Cinema and Media Studies Her current projects include studies on astronomical imaging and the evolution of spatial representation across media. Belisle’s work bridges historical analysis with cutting-edge digital practices, offering critical insights into the cultural and technological dimensions of visual media.

• Sonic Geographies
• Children's Geographies
• Research Methodology
• +۲ مورد دیگر

Dr. Michael Gallagher is a Reader (Associate Professor) in Manchester Metropolitan University's School of Childhood, Youth and Education Studies. His interdisciplinary research examines sound and space, children's geographies, and methodological innovation through post-structuralist frameworks. Gallagher's scholarly contributions include:Pioneering sonic geographies and soundwalking methodologiesCritical analyses of power in educational spacesTheoretical work on children's agency and materialityFoucauldian studies of childhood governance His methodological innovations span audio recording techniques, soundwalking protocols, and audio-visual ethnography. Gallagher serves as expert reviewer for major social science journals and funding bodies. Recent projects investigate Hong Kong kindergarten spatial policies, voice audio methods, media geology, and the emotional geographies of community leadership.

Mark Palmerمشاهده پروفایل

استاد

• Geographic Information Systems (GIS)
• Indigenous Communities and Technology
• UNESCO World Heritage Mapping
• +۵ مورد دیگر

Mark Palmer is a Professor and Chair in the Department of Geography at the University of Missouri, affiliated with the College of Arts and Science. His research focuses on the social dimensions of geographic information systems, particularly their application in Indigenous communities, UNESCO World Heritage projects, and 3D visualization technologies. He holds a Ph.D., M.S., and B.S. in Geography from the University of Oklahoma and University of Northern Arizona. Education: Ph.D., Geography, University of Oklahoma M.S., Rural Geography, University of Northern Arizona B.S., Geography, University of Oklahoma Research Interests: Professor Palmer investigates Indigenous technoscience, GIS uneven development in institutions, and collaborative projects with Indigenous communities like the Otomi timekeepers. His work bridges GIS with cultural preservation, including story mapping in New Zealand and sound/eco calendars. Recent studies explore Indigenous participation in UNESCO processes and the impact of visualization technologies on Indigenous knowledge systems. Publications Trends: His articles emphasize Indigenous GIS design, decolonizing heritage mapping, and the interplay between technology and cultural heritage. Key themes include map semiotics, Indigenous sovereignty in research, and spatial analysis of wildlife-vehicle interactions. Awards: None explicitly listed. Teaching and Advising: Teaches courses like 'Critical GIS and Society' and 'Indigenous Geographies,' mentoring students interested in international GIS applications and narrative map construction. His grants and collaborations focus on integrating Indigenous knowledge into academic curricula. Labs/Teams: Collaborations with Indigenous groups (e.g., Otomi, Kiowa) and institutions like UNESCO highlight his commitment to community-driven research.

Julian Standerمشاهده پروفایل

دانشیار

• Bayesian Statistics
• Data Science
• Public Health Analytics
• +۳ مورد دیگر

Dr Julian Stander is an Associate Professor in Mathematics and Statistics at the University of Plymouth, affiliated with the School of Engineering, Computing and Mathematics within the Faculty of Science and Engineering. His research focuses on Bayesian statistical methods, statistical disclosure control, sports analytics, and public health applications. He has supervised six PhD students and numerous Italian project students. Dr Stander is a Senior Fellow of the Higher Education Academy and a notable educator, recognized as the runner-up for the SSTAR Postgraduate Teacher/Supervisor of the Year Award 2017/18. His teaching spans statistical data modeling, R programming, and data science, with a particular emphasis on Bayesian inference using Stan software. He actively contributes to the development of R packages like plotrix and geofacet , advancing tools for data visualization and spatial analysis. Recent research trends highlight his work on UK political representation, pandemic policy evaluation, historical demographic studies, and ecological modeling. He frequently applies statistical methodologies to diverse fields such as criminal justice, healthcare, and sports, emphasizing interdisciplinary collaboration. Awards reflect his dual excellence in research and pedagogical innovation.