جستجوی استاد راهنمای دانشگاهی

• Machine Learning
• Telecommunications Engineering
• Cloud Computing
• +۵ مورد دیگر

Gabriela Eleutério Soares is a researcher affiliated with Universidade Lusófona, focusing on telecommunications engineering, machine learning, and cloud computing. Her work bridges network optimization and interdisciplinary applications in biomedical signal processing and neuroscience. Education: PhD in Computer Science, Master’s in Mathematical and Computational Modeling, Bachelor’s in Computational Mathematics Her research explores: Cloud-based cellular network planning systems using linear programming and SON (Self-Organizing Networks) Automated coverage estimation methodologies for wireless networks Machine learning applications in traffic prediction and biomedical diagnostics Neuroscience-inspired models for spiking neuron synchronization via genetic algorithms Recent publications highlight trends in: Cloud computing integration with mobile networks Hybrid systems combining propagation models and empirical data Low-cost diagnostic tools using SERS and AI Historical development of bio-inspired network optimization

• Natural Language Processing
• Computer Vision
• Artificial Intelligence
• +۳ مورد دیگر

Aditya Sharma is a researcher at the University of California Santa Barbara , focusing on Natural Language Processing , Computer Vision , and Artificial Intelligence . His work bridges vision-language models, medical AI evaluation, and knowledge graph reasoning. PhD : Advancing AI Understanding in Language & Vision (UCSB, 2024) Research Interests: • Vision-Language Models for geometric reasoning and mixed reality • Medical LLM evaluation and hallucination reduction • Temporal knowledge graph reasoning and multimodal systems Article Trends: Recent publications emphasize vision-language integration (e.g., GeoCoder, OCTO+), LLM reliability in medical contexts (MedHELM), and temporal reasoning (TwiRGCN). He explores applications in dark web security , healthcare diagnostics , and energy-efficient computing .

Ilhan Mutluمشاهده پروفایل

پژوهشگر

• Environmental Informatics
• Machine Learning
• Graph Databases
• +۴ مورد دیگر

Dr. İlhan Mutlu is a postdoctoral researcher at the Helmholtz Centre for Environmental Research - UFZ in the Department of Computational Biology and Chemistry since 2023. Previously, he worked at TU Dresden (2021-2023) and IAV GmbH (2017-2021). He holds a PhD in Control and Automation Engineering (Istanbul Technical University, 2017) and focuses on data integration , graph databases , and machine learning models for toxicology prediction . His research bridges environmental data analysis with automated systems , particularly in freshwater toxicity assessment and optimal control techniques . Recent projects include ChEOS (toxicity prediction in European waters) and SafePol (pollinator protection). His technical expertise spans Neo4j , CleanGeoStreamR , and ecoKI platform development. Publications emphasize data curation for environmental monitoring, graph-based toxicity tools , and ML-driven chemical risk assessment . His work also involves automated driving systems , including model-free trajectory planning and robust control algorithms . Though no scientific awards are listed, his contributions span interdisciplinary domains combining environmental science with computational engineering .

Allyson K. Jacksonمشاهده پروفایل

دانشیار

• Wildlife ecology
• Avian conservation
• Contaminants and food webs
• +۲ مورد دیگر

Allyson K. Jackson is an Associate Professor of Environmental Studies at Purchase College SUNY, within the School of Natural and Social Sciences. She teaches courses including General Ecology, Wildlife Ecology, Biostatistics, Conservation Biology, Wildlife Toxicology, Ornithology, and Environmental Studies Junior Seminar. Dr. Jackson also serves as the faculty organizer for the Purchase College Native Plant Garden. Dr. Jackson earned her PhD in Fisheries and Wildlife from Oregon State University in 2017, where she completed her dissertation titled "You are what, when, where, and how you eat: mercury in avian food webs across multiple spatial scales" under advisors Dr. Collin Eagles-Smith and Dr. Douglas Robinson. She also holds a Graduate Certificate in College and University Teaching from Oregon State University (2015), an MS in Biology from the College of William and Mary (2010), and a BS in Biology with a minor in Psychology from Juniata College (2007). Her research focuses on wildlife ecology, avian conservation, and contaminants in food webs, with particular expertise in mercury bioaccumulation in avian ecosystems. Dr. Jackson's work spans multiple spatial scales, examining how mercury moves through food webs and affects bird populations across different landscapes. Through her JacksonEcoLab, she investigates how environmental contaminants impact wildlife health and ecosystem function. Her extensive publication record demonstrates a consistent focus on mercury contamination in avian systems, with research spanning terrestrial and aquatic ecosystems across North America. Her work combines field ecology with toxicological analysis to understand the complex pathways of mercury exposure in wildlife. Dr. Jackson is actively engaged in environmental stewardship through her leadership of the Purchase College Native Plant Garden and maintains an active research presence through her lab's social media channels (JacksonEcoLab on Facebook and Instagram).

Jeff Turkمشاهده پروفایل

استاد

• Environmental Systems Engineering
• Systems Science
• Mechanical Engineering Design
• +۲ مورد دیگر

Jeff Turk is a Professor at the University of North Georgia , affiliated with the Lewis F. Rogers Institute for Environmental and Spatial Analysis . He serves as the Dean and IESA Academic Advisor and has held the position of IESA Director since 2013. Dr. Turk’s expertise spans Environmental Systems Engineering , Systems Science , and Engineering Education , with a focus on integrating geospatial technologies into ecological and educational frameworks. Education : Ph.D. in Biological and Agricultural Engineering (University of Georgia), M.E. in Mechanical Engineering (Florida Atlantic University), B.S. in Ocean Engineering (Florida Atlantic University), A.A. in Business Administration, and A.S. in Geology (Gainesville State College). Courses Taught : ENGR 1101, ENGR 1770, ENGR 2001, ENGR 3301, ENGR 3340K, ENVE 1103, ENVE 2771K, ESCI 1101, ESCI 3001K, GEOL 1121K/1122K, PHYS 1101-1112/L, and SCTS 1502. Dr. Turk’s research centers on systems science and the design and management of environmental systems , emphasizing interdisciplinary approaches to ecological and engineering challenges. His publications highlight applications of ArcGIS Online , Gigapan© , and virtual field guides in geoscience education and spatial analysis. Recent manuscripts explore multiperspective causality in systems and exponential environmental dynamics . Dr. Turk’s work experience includes founding the Gainesville engineering program in 1988, serving as Physics Lab Coordinator (1997), and leading the Lewis F. Rogers Institute as Director (2013–present). He also contributed to hazardous waste management and GEOPAths Grant initiatives, fostering student engagement in geosciences.

Kimberly Sheenمشاهده پروفایل

مدرس

• User Experience (UX)
• Educational Technology
• Cognitive Ergonomics
• +۴ مورد دیگر

Kimberly Sheen, PhD , is a Lecturer in Digital Design and Communication at the School of Design , University of Leeds. Her work bridges user experience (UX), educational technology, and cognitive ergonomics, with a focus on accessible and equitable design. Her research explores: Cognitive ergonomics in digital interfaces Educational technology adaptation during pandemics Equity in hybrid/online learning environments Interactive design for electronic textbooks Recent publications include studies on hybrid teaching technologies (2022), UX frameworks for pandemic-era degree apprenticeships (2021), and cognitive ergonomics in digital reading (2018). She won the Hong Kong Ergonomics Society’s Student Project Award for her PhD work. Kimberly holds a PhD in Design and Technology from Hong Kong PolyU, an MSc in Human-Computer Interaction with Ergonomics from UCL, and a BA in English Literature with a minor in Communications. She serves as Deputy Programme Leader for the MA in Digital Design and Communication, teaching courses on UX, web design, and hybrid learning systems. Her consultancy projects with external companies focus on data dashboard redesign and telepresence robotics.

• Archaeological Theory
• Indigenous Archaeology
• Community Archaeology
• +۶ مورد دیگر

Dr. Charlotta Hillerdal is a Senior Lecturer in the Department of Archaeology , School of Geosciences , University of Aberdeen. She holds an MA and PhD in Archaeology from Uppsala University and has been active in the field since her 2006 commercial archaeology work in Canada, followed by her 2010 appointment at Aberdeen. Research Focus: Her work bridges Indigenous Archaeology , Community Engagement , and Viking Diaspora studies, emphasizing the archaeology of social identity and heritage discourses . Current projects include the Nunalleq Digital Museum , which integrates Yup’ik narratives with scientific findings to combat climate-driven heritage loss in Alaska. Publication Trends: Recent outputs highlight collaborative methodologies with Indigenous communities climate change impacts on Arctic archaeology digital heritage curation cross-cultural Norse settlements Teaching: She coordinates MSc programs in Archaeology and Archaeology of the North, teaching courses like Viking Archaeology and Indigenous, Community-Based Archaeology . Her educational initiatives include co-created resources for Alaskan schools and digital museum projects. Key Collaborations: Projects include the Nunalleq excavation in Alaska, Oxbow Books publications , and partnerships with the Archaeology Scotland organization.

• Artificial Intelligence
• Intelligent Systems
• Multi-Agent Systems
• +۱۱ مورد دیگر

Anne Håkansson is a Professor of Computer Science at KTH Royal Institute of Technology, specializing in Artificial Intelligence and intelligent systems. She also holds a full professorship at UiT The Arctic University of Norway since 2018, with a guest professorship at NTNU Norwegian University of Science and Technology (2020–2022). Her affiliations include leadership roles such as Director of the Senseable Stockholm Lab and Director of Studies for Bachelor and Master Degree projects at KTH. Education : PhD and Associate Professor (Docent) in Computer Science (Uppsala University, 2004 and 2006) Current Roles : Professor at KTH (2010–present), Full Professor at UiT (2018–present), Guest Professor at NTNU (2020–2022) Her research focuses on intelligent software systems, multi-agent systems, and cyber-physical systems (CPS) for applications in smart cities, explainable AI, and environmental impact assessment. She pioneered visualization techniques for colon cancer detection and developed tools like the EIA-system and T-uck for user-centered knowledge modeling. Recent publications emphasize autonomous CPS design, ontology integration, and context-aware systems, reflecting trends in smart urban technology and trustworthy AI in transportation. She has received the KES Award (2012) and served as Uppsala City Ambassador (2009). Scientific contributions include: Supervising over 90 master’s and bachelor’s theses Advising PhD students such as Esmiralda Moradian and Dan Wu Organizing international conferences like KES-AMSTA 2009 and SEB’12 She leads projects such as DigiCityClimate and Volatile Multiple Smart Systems (VoLM2s), emphasizing sustainability and adaptability in heterogeneous environments.

Wouter Steenbeekمشاهده پروفایل

پژوهشگر

• Criminology
• Spatial and temporal crime patterns
• Computational criminology
• +۷ مورد دیگر

Wouter Steenbeek is a Senior Researcher at the Netherlands Institute for the Study of Crime and Law Enforcement (NSCR), which operates as part of the Netherlands Organisation for Scientific Research (NWO). His work primarily focuses on the spatial and temporal dimensions of crime, employing advanced quantitative methods and computational approaches to analyze crime patterns and offender behavior. Steenbeek contributes significantly to the field through methodological innovations in spatial criminology and crime pattern analysis. Steenbeek earned his PhD in Sociology in 2011 from Utrecht University's Department of Sociology/Interuniversity Centre for Social Science Theory and Methodology (ICS). Prior to this, he completed an MSc in Business Informatics (2004) and a Propedeuse in Information Science (2001), both from Utrecht University. This interdisciplinary background combining sociology, criminology, and information science informs his unique approach to crime analysis. Steenbeek's research centers on the geography of crime, with particular emphasis on spatio-temporal patterns, crime concentration, and near-repeat victimization phenomena. He applies computational criminology techniques, including Agent-Based Modeling, to understand offender choice behavior and crime dynamics. His methodological expertise spans quantitative research methods, machine learning applications in crime prediction, and advanced spatial statistics. Steenbeek has developed specialized software packages like NearRepeat and sppt for spatial crime analysis, demonstrating his commitment to advancing methodological tools in the field. His publication record reveals a consistent focus on refining spatial and temporal crime analysis techniques. Recent work explores cybercrime patterns, risk terrain modeling with machine learning, and the temporal consistency of offender behavior. Steenbeek frequently collaborates with leading criminologists across Europe and North America, contributing to both theoretical advancements and practical applications in evidence-based policing. While no specific scientific awards are mentioned in the available information, Steenbeek's contributions to criminological methodology through his software development and publications represent significant scholarly impact. His work on observer bias in disorder measurement and spatial statistics has advanced methodological rigor in the field. Steenbeek actively engages in academic collaboration and knowledge dissemination, participating in the 'Space, Place, and Crime' working group of the European Society of Criminology. His research has practical implications for law enforcement agencies seeking to understand and prevent crime through spatial and temporal analysis. He maintains an active blog discussing technical aspects of spatial analysis and R programming, demonstrating his commitment to open science and methodological transparency.

• Computer Graphics
• 2D/3D Visualization
• Cartography
• +۷ مورد دیگر

Holger Kumke is a Researcher at the Chair of Cartography and Visual Analytics at the Technical University of Munich . His responsibilities include teaching, research management, and technical administration of labs and systems. Specializes in 2D/3D cartography, AR/VR/MR, and thermal infrared data visualization. Developed tools like Cartography Playground for interactive geospatial education. Organized major conferences including LBS 2022 and PFGK18 . His publications focus on archaeological 3D modeling, urban thermal visualization, and GIS uncertainty analysis. He supervises academic theses and manages geospatial infrastructure.

• Human-Computer Interaction
• Virtual Reality
• Virtual Humans
• +۳ مورد دیگر

Sanobar Dar serves as a Teaching Associate (mapped to Lecturer rank) in Human-Computer Interaction at Aston University's College of Engineering and Physical Sciences, School of Engineering and Applied Science. She teaches undergraduate and postgraduate computer science modules while overseeing university and NHS ethics applications for clinical research. Her educational qualifications include: BSc in Computing Applications PTLLS in Prepare to Teach in Life-Long Sector MSc in Computer Science ILTP in Introduction to Learning and Teaching Practice PhD in Computer Science (in progress, focus: Human and Virtual Human Interaction) Dr. Dar's research centers on virtual reality applications in healthcare, specializing in virtual human coaching systems for breathing relaxation and stress reduction. She develops adaptive real-time interaction frameworks that simulate human-to-virtual-human dynamics, with emphasis on user-centered design principles to enhance clinical outcomes and patient experiences in immersive environments. Her publication portfolio demonstrates consistent innovation in VR healthcare solutions, particularly web-based adaptive systems and virtual breathing coaches. These works bridge computer science, human factors, and medical technology, revealing strong thematic focus on real-time physiological interaction and therapeutic virtual environments. She received the Demo Award for Innovative Technology in 2019 and contributes as a reviewer for journals including MDPI publications and Autonomous Agents and Multi-Agent Systems. As an educator, Dar mentors students in HCI fundamentals, prototype development, and usability testing across modules like Machine Learning, Software Engineering, and Game Development using Unity 3D, while leveraging her ethics review expertise to guide clinical research compliance.

• Semantic Web
• Knowledge Organization
• Metadata Management
• +۱۲ مورد دیگر

Prof. Magnus Pfeffer is a faculty member at Hochschule der Medien Stuttgart, affiliated with the Faculty of Information and Communication and the Department of Information Science. He holds the academic rank of Professor and is actively engaged in research and teaching in information science, digital libraries, and semantic technologies. His research interests include: Semantic Web and Knowledge Graphs Metadata Management and Interoperability Knowledge Organization and Classification Systems Information Retrieval in Heterogeneous Environments Digital Humanities, particularly Japanese Visual Media (Anime, Manga, Otaku Culture) Integration of Fan-Created and Community Data His recent publications (2022–2018) reveal a strong focus on the Japanese Visual Media Graph project, which builds domain-specific knowledge graphs by integrating data from enthusiast communities using RDF, ontologies, and semantic web standards. This work bridges library science with digital humanities and addresses challenges in licensing, data harmonization, and research utility of crowdsourced metadata. Earlier works focus on automated indexing, classification system mapping, and metadata enrichment in library contexts. Scientific contributions include: Development of ontologies for anime characters, visual novels, and fan databases Legal and technical integration of open-licensed community databases Innovations in retro-classification and metadata provenance Curriculum development in information science, especially IT competencies and pandemic-era teaching He has collaborated with researchers such as Martin Roth, Senan Kiryakos, Heidrun Wiesenmüller, and Kai Eckert. While no formal list of students is provided, his supervisory role is implied through research projects and student co-authorships. He has contributed to major conferences including Dublin Core, TPDL, ECDL, and Digital Humanities. His ORCID (2-2141-6721) and GND (102572836X) identifiers confirm his scholarly presence. No awards or grants are explicitly mentioned in the provided text.

Jennifer K. Petersonمشاهده پروفایل

استادیار

• Disease Ecology
• Vector-Borne Diseases
• One Health
• +۴ مورد دیگر

Dr. Jennifer K. Peterson is an Assistant Professor of Medical Entomology in the Department of Entomology & Wildlife Ecology at the University of Delaware, College of Agriculture & Natural Resources. Her research focuses on disease ecology, vector-borne diseases, and global health with particular emphasis on Chagas disease and triatomine bugs. Ph.D. in Ecology & Evolutionary Biology (2015), Princeton University Post-doctoral research in disease modeling (Princeton, Notre Dame) and epidemiology (University of Pennsylvania) Former teaching positions at Portland State University and Lewis and Clark College Her research employs a cross-disciplinary, holistic approach to investigate interactions between organisms and their environment across spatio-temporal scales, parasite communities, and local human cultures. Current projects focus on mechanistic questions in disease dynamics, foodweb interactions, and environmental influences on vector behavior. Dr. Peterson's recent publications demonstrate strong emphasis on spatial ecology, disease modeling, and interdisciplinary research. Keywords include: Triatomine Bug Ecology, Vector Transmission Dynamics, Spatial Epidemiology, and Socio-Environmental Systems. Collaborator with Center for Clinical Epidemiology and Biostatistics (University of Pennsylvania) Research associate at Center for Investigation, University of Antioquia, Medellin, Colombia She teaches undergraduate and graduate courses in medical entomology while maintaining active research projects in Delaware and Colombia.

David W. Binkleyمشاهده پروفایل

استاد

• Software Engineering and Testing
• Program Slicing and Clustering
• Information Retrieval in Software Engineering
• +۶ مورد دیگر

David W. Binkley is a Professor in the Department of Computer Science at Loyola University Maryland. His research focuses on Software Engineering and Testing Program Slicing and Clustering Information Retrieval Techniques in Software Engineering Safety-Critical Systems Code Clone Detection Recent work includes dynamic slicing of WebAssembly binaries and adaptive change recommendation systems using association rules. He has contributed extensively to empirical studies on dependence clusters, testability transformations, and observational slicing techniques. Key collaborations include institutions like Simula Research Laboratory (Norway) and NIST (National Institute of Standards and Technology). His publications span top-tier venues such as IEEE Transactions on Software Engineering, ACM TOPLAS, and ICSE.

Ognjen Savkovicمشاهده پروفایل

استادیار

• Knowledge Graphs
• Semantic Web
• Database Management
• +۷ مورد دیگر

Ognjen Savkovic is an Assistant Professor (RTD-a) at the KRDB Research Center for Knowledge and Data, Faculty of Engineering, Free University of Bozen-Bolzano, Italy. He is based at the NOI Techpark in Bolzano and is actively involved in research on Knowledge Graphs, Semantic Web, and data quality. His work bridges formal logic and machine learning to enhance data management systems. His research interests include Knowledge Graphs, Semantic Web, Database Management, Data Quality, Artificial Intelligence, and Logic Reasoning. He focuses on schema validation (e.g., SHACL), property graph schemas (PG-Schema), and integrating machine learning with declarative languages like Datalog for industrial applications such as welding quality monitoring and cloud resource configuration. His recent publications show a strong trend in semantic technologies for industrial applications, particularly in collaboration with Bosch and Siemens. His work spans theoretical foundations of schema languages and practical implementations in smart manufacturing and cloud systems. He has published in top venues including WWW, ISWC, CIKM, and SIGMOD. Scientific Awards: No specific awards mentioned. Ognjen Savkovic advises students and collaborates on research projects, though specific students are not listed. His research involves significant grant-funded collaborations, particularly in EU-level industrial AI and semantic technology initiatives. He has contributed to projects involving Siemens and Bosch, focusing on semantic diagnostics and scalable data science solutions. He is a key member of the KRDB Research Center, contributing to a vibrant research team working on knowledge representation, reasoning, and industrial applications of semantic technologies.