جست‌وجوی استاد و پژوهشگر

Syed Fawad Hussainمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Multi-View Learning
• +۷ مورد دیگر

Dr. Syed Fawad Hussain is an Associate Professor in the School of Computer Science at the University of Birmingham, Dubai campus. He is actively engaged in research and academic leadership, contributing significantly to the fields of artificial intelligence and machine learning. Education: PhD in Computer Science, Grenoble Alpes University, France (2010) MSc in Computer Science, Sorbonne University (Pierre and Marie Curie), Paris, France (2006) BS in Computer Science (2003) Dr. Hussain's research focuses on developing advanced machine learning algorithms for high-dimensional data, with specializations in multi-view learning, co-clustering, and semantic kernels. His work spans interdisciplinary domains including mobile healthcare, social media analysis, and cultural heritage preservation. He applies AI to classify ECG/EEG signals, detect diseases like schizophrenia and NAFLD, restore ancient manuscripts, and improve wireless communication systems. His recent publications reveal a strong trend in applying deep learning and ensemble methods to real-world problems across healthcare, defense, transportation, and digital humanities. He frequently collaborates on projects involving signal processing, image classification, and data fusion. Dr. Hussain has supervised numerous graduate students and co-authored with researchers across multiple disciplines. He has contributed to national-level academic development in Pakistan as co-chair of the Higher Education Commission's curriculum revision committee. Scientific Contributions: Published in high-impact journals such as Scientometrics , Information Fusion , Expert Systems with Applications , and Knowledge-Based Systems . Active in both theoretical and applied AI research. Contributor to national curriculum development in computer science. He is affiliated with the University of Birmingham’s Dubai campus and previously served as a faculty member and dean at GIK Institute, Pakistan. His work continues to bridge theory and application in artificial intelligence.

Wolfgang Oertelمشاهده پروفایل

استاد

• Computer Graphics
• Computer Vision
• Scientific Visualization
• +۵ مورد دیگر

Wolfgang Oertel serves as Professor of Computer Graphics at Dresden University of Applied Sciences (HTW Dresden) within the Faculty of Informatics and Mathematics. He has held significant leadership roles including Dean of Studies (2009-2012) and Dean (2012-2015) for his faculty, and coordinated international university partnerships (2007-2011). His academic career spans over four decades with appointments at TU Dresden (1984-1998), FhG/IVI Dresden (1999-2004), and TUBA Freiberg (visiting positions in 1998-1999 and 2004-2005). Professor Oertel's research spans computer graphics, computer vision, virtual reality, and artificial intelligence with emphasis on practical applications. His work integrates knowledge representation with visual systems, focusing on spatiotemporal modeling, scientific-technological visualization, and CAD-oriented IT systems. Current projects include the Saxony5 Co-Creation Lab for Artificial Intelligence (2021) and systems for image data processing in scientific infrastructure (SEVVBWG series 2020-2023). His publication trends reveal consistent evolution from database/knowledge processing (1980s-1990s) to computer vision applications (2000s) and sophisticated AI-integrated visualization systems (2010s-present). Recent work focuses on heterogeneous traffic data visualization, knowledge-based graphic object synthesis, and conceptual frameworks bridging AI with virtual reality. Key technical domains include VRML/X3D, OpenCV, VTK, and specialized hardware integration. Award for integrated data processing (Integrata AG Tübingen, 1995) Oertel actively supervises graduate works and leads multiple research projects including Saxony5CCLKI (2021), SEVVBWG2 (2023), and GWMSV traffic simulation (2021). His laboratory maintains extensive equipment including stereo displays, 3D cameras, microscopes, VR headsets, and robotic platforms supporting research in virtual intelligent environments. Current teaching includes Computer Graphics I/II, CAD systems, and Computer Vision courses across multiple informatics programs.

Matt McCormickمشاهده پروفایل

دانشیار

• Filmmaking
• Integrated Media
• Art
• +۴ مورد دیگر

Matt McCormick is an Associate Professor of Art and Integrated Media at Gonzaga University , where he also serves as Department Chair of Integrated Media and Director of Visual Literacy . His academic appointments reflect his interdisciplinary expertise in filmmaking, contemporary art, and media theory. M.F.A. in Media Study from the University at Buffalo, SUNY B.A. in Moving Image Arts from the College of Santa Fe McCormick's research interests intersect documentary practice, experimental cinema, and visual culture analysis, with a particular focus on urban landscapes and cultural memory . His work often blends historical documentation with cinematic formalism across film, installation, and music video formats. His filmography trends demonstrate sustained engagement with documentary-experimental hybrids , architectural interventions , and music-video collaborations spanning two decades. Key themes include geographic identity , urban transformation , and media archaeology explored through 16mm film, HD video, and installation mediums . Matt's professional activities include: Programming leadership at PDX Film Festival and Boathouse Microcinema Curatorial roles at Venice International Film Festival and Portland Art Museum Notable projects include 2024 Jundt Art Museum installation 'Fountain' 2022 Sundance Institute grant for 4K remastering of 'The Subconscious Art of Graffiti Removal' 2007-2010 music video collaborations with The Shins, Sleater-Kinney, and Broken Bells

Jill Hamiltonمشاهده پروفایل

دانشیار

• Conservation Genetics
• Genomics
• Evolutionary Biology
• +۷ مورد دیگر

Jill Hamilton is an Associate Professor in the Department of Ecosystem Science and Management at The Pennsylvania State University, where she conducts research at the interface of genomics, evolutionary biology, and ecological restoration. She is affiliated with the Institute of Energy and the Environment (IEE) as an Affiliate Researcher, contributing to interdisciplinary efforts addressing climate change and biodiversity conservation. Her research focuses on understanding the genetic basis of adaptation, hybridization, and dispersal in perennial plant systems such as Torrey pine, Oregon ash, and Prairie Smoke. Using advanced genomic and transcriptomic tools, she investigates how plant populations respond to environmental stressors and climate change, with direct applications to conservation and restoration strategies. The trends in her recent publications highlight a strong emphasis on landscape genomics, conservation policy (e.g., integrating genetic data into IUCN Red List assessments), seed sourcing for climate-resilient ecosystems, and the role of hybridization in adaptation. Her work bridges fundamental evolutionary questions with practical conservation outcomes. Conservation Genetics Genomics Evolutionary Biology Ecological Restoration Climate Change Adaptation Plant Population Genetics Scientific Awards: No specific awards are mentioned in the provided text. Advising and Grants: Jill Hamilton collaborates extensively on federally and institutionally supported research initiatives, particularly in forest genetics and climate adaptation. While no explicit list of grants or students is provided, her co-authorship with early-career researchers and involvement in large collaborative projects suggest active mentorship and grant-funded research. She contributes to national conversations on assisted migration and genomic monitoring of threatened species. Labs and Teams: Dr. Hamilton is part of the IEE Research Themes on Climate and Natural Systems at Penn State. She collaborates with researchers across the U.S. and internationally on topics including forest genetics, assisted migration, and conservation genomics. Her lab likely supports graduate students and postdoctoral researchers focused on plant evolutionary ecology and conservation applications.

• Data Management and Analysis
• Machine Learning
• Knowledge Representation
• +۵ مورد دیگر

Assoc Prof John Wang is an Associate Professor at the School of Information and Communication Technology , Griffith University. His work spans Data Management and Analysis (graph, text, spatial-temporal data), Machine Learning , Knowledge Representation , and Algorithm Design . He has published extensively in top venues like ACM Transactions on Database Systems , IEEE Transactions on Knowledge and Data Engineering , and conferences including SIGMOD , VLDB , and ICDE . Appointments : Member of the Institute for Integrated and Intelligent Systems (2003–2024). Education : PhD in Computer Science (Griffith University, 2003). His research has led to real-world implementations in Graph Data Processing , including techniques for shortest distance queries and temporal reachability. He actively contributes to program committees of conferences like VLDB and ICDE , and his funded projects include "Developing Soil Knowledge..." (ACIAR, 2024–2029) and "Harnessing Social Media..." (QLD Inspector-General, 2020). Recent publications focus on Graph Indexing , Causality Detection , and Spatial-temporal Querying . Examples include optimizing road network queries (2023), 2-hop labeling for shortest paths (2021), and geospatial skyline algorithms (2020). Co-authored works appear in venues such as IEEE Transactions on Knowledge and Data Engineering and Neurocomputing . Consultancy : Delivered commercial research on pandemic-related data analytics (2020). Supervision : Mentored 15+ PhD/Master’s students, including projects on deep learning, data leakage prevention, and XML querying. Teaching : Directed programs like Graduate Certificate in Information Technology and Diploma of Information Technology .

Joel T. Adlerمشاهده پروفایل

استادیار

• Kidney Transplantation
• Pancreas Transplantation
• Health Equity in Organ Access
• +۷ مورد دیگر

Joel T. Adler is a kidney and pancreas transplant surgeon at Dell Medical School, University of Texas at Austin, since 2021. With dual clinical and research expertise, he focuses on advancing transplantation equity through policy analysis, health services research, and socioeconomic access barriers. His training spans University of Wisconsin (MD), Harvard (MPH), Massachusetts General Hospital residency, and Wisconsin transplantation fellowship. Education MD - University of Wisconsin-Madison MPH - Harvard T.H. Chan School BA in Spanish - University of Wisconsin-Madison Research interests span organ allocation policies , transplant system efficiencies , and dialysis facility impacts on referral rates. His work reveals how Medicare 5-Star ratings correlate with transplant waitlisting, and examines telehealth implementations for end-stage kidney disease patients. Recent publications analyze circle-based allocation systems , out-of-sequence organ utilization , and rural-urban transplant disparities . These studies use datasets like the Scientific Registry of Transplant Recipients and United States Renal Data System to evaluate national policy effects. Scientific Awards UT Austin Public Voices Fellow (2023-2024) Provost's Mentored Faculty Scholar (2023) American Journal of Transplantation Outstanding Clinical Manuscript (2023) Alpha Omega Alpha Honor Society (2010) Gold Humanism Honor Society (2009) Current grants include K08 HS028476 (telehealth for ESKD), ASTS Collaborative Scientist Grant (KAS250 policy effects), and Society for Transplant Social Workers funding to examine dialysis social workers' roles in central Texas. He serves on multiple national committees including the Scientific Registry of Transplant Recipients Analytic Methods Subcommittee.

Gerald Hiebelمشاهده پروفایل

پژوهشگر

• Geographic Information Systems (GIS)
• Ontological Data Models
• Semantic Information Integration
• +۳ مورد دیگر

Gerald Hiebel is a Research Associate at the Institute of Archaeology, University of Innsbruck. Since 2018, he has led and contributed to multiple projects including Information Integration for Prehistoric Mining Archaeology , Text Mining Medieval Mining Texts , and Virtual Exhibition in All Dimensions . His work is funded by institutions like the Austrian Science Fund (FWF), Austrian Academy of Sciences (ÖAW), and the European Union. Current Projects : Virtual Exhibition in All Dimensions (Project Management), Inventaria (Principal Investigator), Text Mining Medieval Mining Texts (Principal Investigator) Research Interests : GIS, Ontological Data Models, Semantic Integration, Archaeological Information Modeling Recent Publications focus on spatiotemporal extensions of CIDOC-CRM, FAIR data principles for mining archaeology, and semantic modeling of excavation data. He has developed knowledge graphs connecting cultural resources with spatiotemporal places and contributed to standards like CRMgeo and CRMarchaeo. Scientific Awards : Marie Curie Fellowship, Erwin Schrödinger Fellowship Collaborations : University of Southern California, ICS-FORTH, European Association of Archaeologists

• Political Science
• Federalism
• Democratic Representation
• +۷ مورد دیگر

Asya Magazinnik is a Professor of Social Data Science at the Hertie School in Berlin, affiliated with the Data Science Lab and teaching in the Master of Public Policy program. Her work bridges federalism, democratic representation, and causal inference methodologies. Ph.D., Department of Politics, Princeton University (2020) M.P.P., Harris School of Public Policy, University of Chicago Her research focuses on subnational governments as sites of national political contestation, examining: Strategic interactions between local/national governments Preference aggregation in local elections Representation of disadvantaged groups Polarization dynamics and immigration federalism Race and policing, political preference measurement The articles reflect methodological innovation in conjoint experiments and causal inference, applied to topics like: Housing policy feedback mechanisms Geospatial data accuracy in urban planning Districting impacts on minority representation Policy diffusion across government levels She previously held an Assistant Professor position at MIT, connecting academic institutions across theoretical and applied domains.

Asoke Nandiمشاهده پروفایل

استاد

• Signal Processing
• Machine Learning
• Wireless Communications
• +۷ مورد دیگر

Professor Asoke Nandi serves as Professor of Electronic & Computer Engineering at Brunel University of London, where he has been Head of Electronic and Computer Engineering since April 2013. Previously, he held the David Jardine Chair of Signal Processing at the University of Liverpool, where he established and led the Signal Processing and Communications Research Group. His academic journey began with a PhD from the University of Cambridge, followed by positions at prestigious institutions including Rutherford Appleton Laboratory, CERN, Queen Mary University of London, the University of Oxford, Imperial College London, and the University of Strathclyde. Professor Nandi's research spans theoretical developments in signal processing and machine learning, with applied contributions across multiple domains. His work encompasses wireless communications (including automatic modulation recognition and equalization), biomedical signal processing (breast cancer detection, electrocardiogram extraction, retinal image processing), machine condition monitoring, image forensics, time series predictions, genomic signal processing (gene clustering), brain signal processing (music, EEG, and fMRI data processing), and Big Data analytics. These diverse research interests demonstrate his interdisciplinary approach to information engineering problems. His recent publications reveal a strong focus on deep learning applications across multiple domains, with emphasis on medical imaging (particularly cancer diagnosis and segmentation), remote sensing change detection, fault diagnosis in mechanical systems, and innovative approaches to image processing. The research shows a clear trajectory toward more sophisticated neural network architectures including attention mechanisms, diffusion models, and multimodal fusion techniques applied to real-world engineering and medical challenges. IEEE Transactions on Radiation and Plasma Medical Sciences Best Paper Award (2025) Foreign Member of Chinese Society for Vibration Engineering (2025) Member of Academia Scientiarum et Artium Europaea (2023) Member of Academia Europaea (2023) Fellow of Royal Academy of Engineering, U.K. (2014) IEEE Distinguished Lecturer (EMBS, 2018-2019) Finland Distinguished Professor Award (2010-2014) Co-discoverer of W+, W-, and Z0 particles (1983) Professor Nandi has supervised numerous PhD students and research projects across his career, though specific student names aren't listed in the provided materials. His work has been supported by various research grants that have enabled his prolific output of over 650 technical papers, including more than 320 in quality international journals, with an impressive h-index of 92 according to Google Scholar. His research group IEHS at Brunel focuses on information engineering and health systems, reflecting his interdisciplinary approach. Professor Nandi maintains active collaborations through his visiting professorships at institutions including Xi'an Jiatong University (China), Universite d'Orleans (France), and Tongji University (China), as well as his previous adjunct professorship at the University of Calgary (Canada). These international connections enrich his research environment and provide opportunities for cross-cultural scientific exchange.

Isabel Sassoonمشاهده پروفایل

مدرس ارشد

• Computational Argumentation
• Explainable AI
• Health Informatics
• +۵ مورد دیگر

Dr. Isabel Sassoon is a Senior Lecturer in Computer Science within the College of Engineering, Design and Physical Sciences at Brunel University London. Her research bridges computational argumentation, explainable AI, and health informatics, with significant contributions to decision support systems and public health technology design. She serves as Director of Teaching and Learning for the Department of Computer Science and leads postgraduate instruction in Quantitative Data Analysis. Her educational background includes a PhD in Informatics from King's College London and a BA in Statistics, Operations Research and Economics from Tel Aviv University. Prior to her academic career, she spent over 10 years as a data science consultant in industry, including 8 years at SAS UK. PhD, Informatics, King's College London, UK BA, Statistics and Operations Research and Economics, Tel Aviv University, Israel Fellow of the Higher Education Academy Dr. Sassoon's research focuses on developing transparent and explainable AI systems through computational argumentation frameworks, particularly applied to healthcare decision support and public health technology. Her work addresses critical challenges in model transparency, trust calibration, and user-centered explanation design. Recent projects examine the societal implications of immunity passport systems and develop argumentation-based chatbots for clinical decision support. Analysis of her 15 most recent publications reveals a strong trajectory toward integrating formal argumentation with modern AI systems, particularly large language models. Her work consistently applies computational argumentation to healthcare contexts while increasingly addressing public health policy implications. The publications demonstrate methodological evolution from theoretical argumentation frameworks toward practical implementations in clinical and public health settings. Her scientific recognition includes: Fellow of the Royal Statistical Society (since 2004) Fellow of the Higher Education Academy As Director of Teaching and Learning, she oversees departmental pedagogy while supervising PhD research on model validation, monitoring, and explanation. Her major research projects include the UKRI-funded IMMUNE project on immunity passport design and the EPSRC-funded CONSULT project developing collaborative decision support for chronic disease management. Her work demonstrates significant interdisciplinary collaboration across computer science, healthcare, and policy domains. Dr. Sassoon maintains active research partnerships within Brunel's Computer Science department and collaborates with healthcare institutions through projects like CONSULT. Her research group focuses on developing the EQRbot framework and exploring argumentation-based approaches to LLM explainability.

Billy Flemingمشاهده پروفایل

استادیار

• Climate justice
• Built environment
• Clean energy supply chains
• +۵ مورد دیگر

Billy Fleming is an Assistant Professor in Landscape Architecture and Horticulture at Temple University's Tyler School of Art and Architecture and founding co-director of the Climate and Community Institute. He is an interdisciplinary scholar focused on climate justice and the built environment, with particular expertise in clean energy supply chains, social movements in rural landscapes, and land-based carbon management practices. His research interests span climate policy, urban planning, environmental justice, and landscape architecture. Fleming critically examines the intersections between climate action, social justice, and spatial politics, with a focus on how communities are transformed by climate policies and energy transitions. He is particularly interested in the political economy of climate solutions and the ways in which design practices can either reinforce or challenge existing power structures. Fleming's publication record reveals a strong focus on the Green New Deal framework, climate adaptation strategies, and critical approaches to landscape architecture. His work shows increasing emphasis on internationalist perspectives on climate policy and the need for spatially just climate transitions that center marginalized communities. He has contributed significantly to both academic discourse through peer-reviewed journals and public discourse through major media outlets. ASLA awards for interdisciplinary studios on climate justice Editorial board member for the Journal of Architectural Education Advisory board member for the Fay Jones School of Architecture and Design Board member for United States chapter of Architects Declare External examiner for the Architectural Association in London Fleming has delivered over 100 lectures globally and served as a juror for prestigious design awards. His work bridges academic research with practical climate action through initiatives like Data Refuge and the Climate and Community Institute. He has been instrumental in developing major research initiatives and public programs that connect academic work with community needs and policy development.

Caglar Koyluمشاهده پروفایل

دانشیار

• GIScience
• Cartography
• Geovisualization
• +۷ مورد دیگر

Caglar Koylu is an Associate Professor in the Department of Geographical and Sustainability Sciences at the University of Iowa's School of Earth, Environment, and Sustainability. He directs the Geo-Social Lab where he leads research at the intersection of GIScience, network science, cartography, and visualization with applications in human mobility, migration, population geography, public health, and social vulnerability. His educational background includes a PhD from the University of South Carolina. He teaches foundational courses in GIS, geospatial programming, geographic visualization, and spatial analysis. His research program focuses on developing innovative computational and visual tools to analyze massive geospatial data and geo-social networks. Koylu's research interests span GIScience, cartography, visualization, spatiotemporal analysis, human mobility and migration, and population-scale kinship networks. His work combines network science, machine learning, and GeoAI approaches to understand complex spatial-social systems. Recent projects include analyzing historical migration patterns using population-scale family trees and developing tools for visualizing spatial flows. His publications reveal a strong focus on methodological innovation in flow mapping, spatial interaction analysis, and geovisual analytics, with applications spanning migration studies, public health, social media analysis, and disaster management. He has developed FlowMapper.org, a web-based tool for visualizing and analyzing flows across space-time. Among his notable recognitions, Koylu was elected Vice President of the Cartography and Geographic Information Society (CaGIS) in 2023. His students have received multiple awards including the CaGIS Doctoral Scholarship Award. He currently advises several graduate students including Maryam Torkashvand (PhD), Jinyi Cai (PhD), and Loretta Nwajiaku (MA). His lab has successfully graduated PhD students including Hoeyun Kwon (2023) and Geng Tian (MA, 2021). Koylu secures substantial research funding, currently serving as Principal Investigator on an NSF grant ($477,734) for population-scale kinship networks research and as Co-PI on an NIH grant ($1.18 million) for cancer risk mapping. His lab provides research experiences for undergraduate and high school students through the Secondary Student Training Program.

Soheil Mohammadiمشاهده پروفایل

استاد مدعو

• Disaster Recovery
• Urban Resilience
• Multi-hazard Risk Assessment
• +۲ مورد دیگر

Soheil Mohammadi is an Adjunct Professor at the Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN), University of Genoa. He teaches Multi-Hazard Impact and Risk Assessment in the Master's program in Engineering for Natural Risk Management. His research focuses on: Disaster recovery methodologies for urban systems Multi-hazard risk assessment integrating floods, seismic events, and pandemics Urban resilience planning using tools like Fuzzy Cognitive Mapping Development of recovery frameworks for sustainable settlements Mohammadi's publications (2020-2025) emphasize resilience-based solutions for cities exposed to natural hazards, with recurring themes in seismic/flood recovery, participatory planning, and critical infrastructure interdependencies. No awards, grants, or supervised students are documented.

Maria Fadimanمشاهده پروفایل

استاد

• Ethnobotany
• Environmental Conservation
• Cultural Geography
• +۴ مورد دیگر

Maria Fadiman is a Professor in the Department of Geosciences at Florida Atlantic University. Her academic background includes a Ph.D. in Geography from the University of Texas at Austin (2003), MA in Latin American Studies from Tulane University (1998), and BA in Latin American Studies from Vassar College (1991). Research focuses on ethnobotany, cultural-environmental interactions, and sustainable development Teaches courses like Latin America Culture (GEA 4410), Culture Conservation and Land Use (GEO 6337), and Plants and People (GEO 6317) Active in tropical rainforest studies across Ecuador, Brazil, Philippines, and Africa Her recent publications highlight interdisciplinary work in Environmental Science , Linguistic Geography , and Medical Ethnobotany . Key article trends include: 2023 heat vulnerability assessments in Florida 2022 linguistic conservation approaches in Africa 2019-2020 Nepal Himalaya biodiversity studies 2018 cultural continuity analysis in Palau 2013-2008 Amazonian resource stewardship Her work emphasizes reciprocal relationships between communities and ecosystems, bridging scientific analysis with cultural preservation.

• Web-based GIS visualization
• GIS application development
• 3D modeling and printing
• +۲ مورد دیگر

Marianna Bodroginé Zichar serves as an Associate Professor in the Department of Data Science and Visualization at the Faculty of Informatics, University of Debrecen. Her academic role centers on geospatial technologies and visualization within the institution's research framework. Her research expertise spans: Web-based GIS visualization techniques Development of specialized GIS applications 3D modeling and printing integration Advanced geovisualization methodologies Dr. Zichar contributes to the department's core mission in data science, focusing on practical implementations of geospatial technologies through web platforms and physical 3D representations. Her work bridges theoretical computer graphics with real-world geographic data applications, particularly emphasizing user-accessible visualization systems. The department context reveals collaborative work within broader fields including machine learning, image processing, and computer graphics, though her specific contributions remain centered on geospatial domains. Professional activities include maintaining an organizational web presence and Tudóstér academic profile, with office operations conducted from the Faculty of Informatics building (Kassai út 26, 1st floor, room I126) in Debrecen.