Find Academic Supervisors

Dan SchonfeldView profile

Professor

• Signal Processing
• Image Processing
• Video Processing
• +7 more

Dan Schonfeld is a Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Chicago . His research spans signal, image, and video processing, with interdisciplinary applications in genomic signal processing and multimedia systems. Education: Ph.D. and M.Sc. in Electrical and Computer Engineering from The Johns Hopkins University (1990, 1988), B.Sc. in Electrical Engineering and Computer Science from UC Berkeley (1986). Research Interests: Schonfeld's work focuses on video communications, retrieval, and networks, integrating computer vision, pattern recognition, and stochastic optimization. His contributions include mathematical morphology for image processing and statistical methods for real-time scene change detection. Article Trends: His recent publications emphasize particle filtering for video tracking, hidden Markov models for activity recognition, and multi-camera systems for pose estimation. Applications in genomic signal processing and crowded scene tracking highlight his interdisciplinary impact. Scientific Leadership: He has been a Senior Member of IEEE since 2005 and received multiple Best Student Paper Awards at IEEE ICIP (2006, 2007) and SPIE VCIP (2006). Editorial Contributions: Schonfeld has served as Guest Editor for IEEE journals on video and genomic signal processing and as Associate Editor for key IEEE Transactions since the 1990s.

Jonathan YearsleyView profile

Associate Professor

• Ecological Modelling
• Marine Ecology
• Conservation Biology
• +3 more

Assoc Professor Jonathan Yearsley is an Associate Professor at the School of Biology and Environmental Science, University College Dublin , leading the Ecological Modelling group. His work combines theoretical ecology with empirical data to study deep-sea ecosystems, focusing on larval dispersal mechanisms , hydrographic barriers , and conservation strategies for deep-sea mining. Education : BSc (University of Birmingham), MSc (University of Cambridge), PhD (University of Sussex) in Cosmology. His research applies biophysical models and oceanographic data (e.g., Argo probes) to map connectivity in fragmented hydrothermal vent habitats. Key projects include the International Climate Initiative (IKI) and collaborations with Duke University Marine Lab and the Global Ocean Biodiversity Initiative (GOBI). Publications highlight median larval dispersal distances (75–300 km) and persistent barriers at 6°N, 15°N, 36°N, and 37°N on the northern Mid-Atlantic Ridge. Students and researchers under his supervision include PhD candidates analyzing spatial biases in species distribution datasets and MSc students in Evolutionary Biology and Environmental Resource Management. Current projects focus on deep-sea ecosystem resilience and conservation policy for polymetallic sulfide extraction.

• Geovisualization
• Cartography
• Visual Analytics
• +7 more

Anthony C. Robinson is Professor of Geography and the E. Willard and Ruby S. Miller Professor at The Pennsylvania State University. He serves as Director of Online Geospatial Education Programs through the John A. Dutton e-Education Institute and Director of the GeoGraphics Lab within the Department of Geography in the College of Earth and Mineral Sciences. Robinson also holds leadership positions as Vice Chair of the International Cartographic Association Commission on Geovisualization and Chair of the AAG Cartography & Mapping Specialty Group. Dr. Robinson earned his B.S. in Applied Geography from East Carolina University (2002), followed by his M.S. (2005) and Ph.D. (2008) in Geography from Penn State. His academic career at Penn State has progressed from Research Assistant (2003-2008) to his current position as full Professor (2024-present), with previous appointments as Assistant Professor (2015-2019) and Associate Professor (2019-2024). Robinson's research focuses on designing and evaluating geovisualization tools to improve geographic information utility and usability across multiple domains including epidemiology, crisis management, national security, and higher education. His key contributions include characterizing how users assemble analytical results, studying visualization tools through eye-tracking methodologies, and exploring map symbol standardization for emergency management. Recent innovative work examines viral cartography in social media, techniques for visualizing the 'presence of absence' in big spatial data, and geographic dimensions of learner engagement in educational analytics. His publication record demonstrates a consistent trajectory toward increasingly complex geospatial challenges, with early work focused on foundational geovisual analytics methods evolving into current research addressing big data cartography, social media geovisualization, and educational applications of geographic information science. Robinson's scholarly output bridges theoretical cartographic principles with practical applications across diverse domains, particularly emphasizing user-centered design approaches. E. Willard and Ruby S. Miller Professor in Geography Past President of the North American Cartographic Information Society (NACIS) Co-Chair of the International Cartographic Association Commission on Visual Analytics Co-Director of GeoGraphics Lab Director of Online Geospatial Education Programs since 2014 As an advisor, Robinson has mentored doctoral students including Tim Prestby (recent PhD graduate) and currently supervises PhD candidate Lily Houtman. He actively seeks graduate students interested in cartography and geovisualization, user-centered design and evaluation, and health and ecological informatics. His research has been supported through institutional positions at Penn State including leadership of online geospatial education programs serving thousands of students globally. Robinson directs the GeoGraphics Lab, which serves as an incubator for innovative geospatial projects including community mapping initiatives and geospatial storytelling devices focused on community resilience and climate action. The lab recently hosted its inaugural Community Mapping Day at Penn State, engaging students, faculty, and community members in mapping pollinator pathways. Through the John A. Dutton e-Education Institute, he leads Penn State's GIS Certificate, Master of GIS, and Master of Spatial Data Science programs, which have educated thousands of professionals worldwide.

Jose FerrerView profile

Research Fellow

• Spatial Ecology
• Biodiversity Informatics
• Conservation Biology
• +5 more

Dr. Jose Ferrer is a Senior Research Fellow at the School of Biological, Earth and Environmental Sciences at the University of New South Wales (UNSW). With extensive field experience in Germany, Venezuela, and South Africa , his work focuses on spatial ecology, biodiversity informatics, and ecosystem conservation , particularly through developing analytical tools for conservation decision-making. Affiliation: UNSW, IUCN Global Ecosystem Typology project Research Themes: Species distribution modeling, ecosystem risk assessment, environmental data integration His research spans diverse ecosystems, with a strong emphasis on animal/plant distribution patterns and human impact mitigation . Recent publications address: Ecosystem resilience under anthropogenic stressors Red List of Ecosystems applications in Africa Mining expansion impacts in Venezuela Ecological trap detection for Andean bears Invasive species effects in arid environments Conservation strategies for critically endangered species He contributes to open science initiatives through: Code sharing via UNSW codeRs group Data repository contributions Drop-in research assistance sessions His teaching emphasizes reproducible research methods and data management skills , supporting both academic and conservation communities through technical training.

Timothy CribbinView profile

Senior Lecturer

• Information visualisation
• Information retrieval
• Text mining
• +7 more

Dr. Timothy Cribbin is a Senior Lecturer in the Department of Computer Science within the College of Engineering, Design and Physical Sciences at Brunel University London. He has been with the university since 2001, initially joining as a lecturer and advancing to his current position. His academic home is firmly rooted in the intersection of information science, human-computer interaction, and data analytics. His educational background includes: PGCert Learning and Teaching in Higher Education, Brunel University (2007) PhD Information Science, Brunel University (2005) for research exploring spatial-semantic interfaces for exploratory document search MSc Industrial Psychology, University of Hull (1996), where he was awarded the Tom Hoyes Memorial Prize BSc (Hons) Psychology, University of Portsmouth (1994) Dr. Cribbin's research focuses on information visualization, interactive search interfaces, and text analytics, with particular expertise in processing and modeling large text collections to uncover meaningful insights. His work spans the design and evaluation of algorithms, interaction models, and end-user tools that support search, navigation, exploration, and sense-making within connected information spaces like scholarly publications and social media platforms. Early in his career, he pioneered work on interactive visualization using distance-similarity and spatial-semantic metaphors, making key contributions through the application of geodesic distance and second-order similarity transformations. More recently, his research has centered on citation-enhanced information retrieval and social media analytics, including the development of the Chorus Twitter analytics project. His scholarly output reveals a consistent trajectory from foundational work in information visualization to increasingly applied research in social media analytics and text mining. Throughout his career, Dr. Cribbin has maintained a strong focus on human-centered approaches to information processing, with particular attention to how users interact with and make sense of complex information spaces. His recent work demonstrates growing interest in psychological aspects of information processing, author classification, and the analysis of linguistic patterns in online radicalization. Dr. Cribbin has received notable recognition including: Tom Hoyes Memorial Prize for his MSc in Industrial Psychology Fellowship of the Higher Education Academy (FHEA) He has secured research funding for projects including "Predicting online radicalisation" and "Facilitating social media research in social sciences." Dr. Cribbin serves as a Deputy Senior Tutor (Academic Misconduct) and provides supervisory duties for final year undergraduate and Masters dissertation projects. He regularly acts as a reviewer for conferences and journals in information science, social media analytics, and information visualization. Dr. Cribbin is a key contributor to the User Centred Design research group and is the founder and lead programmer of the Chorus Twitter analytics project. His work bridges theoretical research with practical applications, particularly in the areas of social media analytics and text mining.

Stasha LauriaView profile

Lecturer

• Intelligent Robotics
• Neural Networks
• Pattern Recognition
• +6 more

Dr. Stasha Lauria is a Lecturer in the Department of Computer Science within the College of Engineering, Design and Physical Sciences at Brunel University London. With over 15 years of experience in intelligent robotics, she specializes in human-machine interactions, neural networks, and pattern recognition, leading the Brunel Robotics Laboratory for cognitive mobile robot experiments. Education: Laurea, University of Studies “Federico II” of Napoli, Italy Ph.D. in Cybernetics, University of Reading, UK Research Focus: Her work centers on modeling mobile robots through natural language interactions, converting human speech into robot actions, and AI-driven signal processing. Current projects investigate social media's impact on human-robot dialogue management and robotics as educational tools, with strong emphasis on neural networks and big data applications in vision systems. Publication Trends: Recent publications (2022-2009) reveal consistent innovation in computer vision (object detection, segmentation) and human-robot interaction, increasingly integrating deep learning for manufacturing and vision tasks. Educational robotics remains a parallel thread, with quantitative evaluations of programming pedagogy. Research Grants: A human-centred internet of things platform for the sustainable mine of the future (European Commission, May 2020 - April 2024) Intelligent data-driven pipeline for certified metal parts manufacturing (European Commission, October 2018 - March 2023) Big Data Learning-based QoS Analysis for Cloud-services (Royal Society, March 2016 - February 2018) Laboratory & Collaboration: Founder of the Brunel Robotics Laboratory, she collaborates extensively with Dr. Theodora Koulouri, Prof. Xiaohui Liu, and Dr. Stephen Swift on human-robot interaction, as evidenced by co-author networks spanning neural networks, dialogue systems, and multi-agent architectures.

• Digital Humanities
• Spatial Humanities
• Artificial Intelligence
• +7 more

Professor Patricia Murrieta-Flores is a faculty member at Lancaster University's School of Global Affairs and Co-Director of the Digital Humanities Centre. Her research focuses on the intersection of Digital Humanities, Artificial Intelligence, and Spatial Humanities to study Latin American colonial history, particularly 16th–18th century New Spain. She employs GIS, NLP, Computer Vision, and Machine Learning to analyze epidemics, economic systems, and indigenous spatial epistemologies. Research Grants : TAP/ESRC: Digging into Early Colonial Mexico AHRC/NEH: Unlocking the Colonial Archive ESRC: The Fleets of New Spain (2024–) Scientific Awards : Fellow, Royal Historical Society Fellow, Centre for Apocalyptic and Postapocalyptic Studies (Heidelberg) PhD Supervision : Katherine Bellamy Edward Moore Collaborative Networks : Cross-institutional projects with University of Lisbon, LLILAS Benson, and others Interdisciplinary teams combining Computer Science, History, and Archaeology

• Environmental Economics
• Agri-food and Environmental Economics
• Social Economy
• +5 more

MARIA LUZ LOUREIRO GARCIA is a Professor in the Department of Fundamentals of Economic Analysis at the Faculty of Economic and Business Sciences, University of Santiago de Compostela. She is affiliated with the Interuniversity Research Center in Economics and Business for Society (ECOBAS) and leads the ECO-IURIS Legal-economic analysis group, while also collaborating with the ECOAGRASOC group focused on Agri-Food and Environmental Economics, Rural Development, and Social Economy. Her research spans Environmental Economics , Climate Change , Energy Economics , and Tourism Economics , with a focus on public sentiment analysis , behavioral economics , and ecosystem services valuation . Recent work applies choice experiments and big data to assess preferences for nature-based solutions , clean energy adoption , and tourism demand dynamics . Her publications (2011–2025) cover broad disciplines including Climate Change Mitigation , Energy Transition , Wildfire Economics , and Behavioral Analysis , with specific subfields such as sentiment analysis in Spain , gender roles in rural energy access , blue carbon valuation , wine consumer emotions , and policy evaluation for invasive species .

Eszter Rita KatonaView profile

Assistant Professor

• Computational Social Science
• Social Research Methodology
• Natural Language Processing
• +7 more

Eszter Rita Katona is an Assistant Professor at Eötvös Loránd University's Faculty of Social Sciences, Department of Social Research Methodology. She serves as a lecturer at multiple research centers including the Research Center for Computational Social Science (RC2S2), Survey Methods Room Budapest, and Széchenyi István College for Advanced Studies. Education: PhD in Interdisciplinary Social Research (Doctoral School of Sociology, 2018-2023) Computer Science specialization (Faculty of Informatics, 2016-2017) Survey Statistics MSc (Faculty of Social Sciences, 2015-2018) Social Sciences BA (Faculty of Social Sciences, 2011-2015) German Studies BA (Faculty of Humanities, 2012-2015) Angelusz Róbert College for Advanced Studies (2014-2018) Research Focus: As a computational social scientist, her work spans three major domains: NLP and data visualization applications in social research Discursive framing of depression in online communities Corruption risk assessment in public procurement Teaching Expertise: In her academic role, she teaches: BA courses: Data Collection Methods, Data Visualization, Introduction to Sociological Research, Quantitative Data Analysis MSc courses: Advanced Data Visualization, Python Programming, Communication and Data Visualization, Text Analytics Scientific Contributions: Her recent publications and conference presentations focus on: Machine learning for depression discourse analysis Digital lens approach to Holocaust testimonies Corruption risk modeling in public procurement Interdisciplinary NLP applications Computational social science methodology Contact: katona.eszter@tatk.elte.hu

• Applied Economics
• Environmental Economics
• Agricultural Policy
• +3 more

Ángel Perni Llorente is a Professor at the University of Cádiz, affiliated with the Department of Economics, Quantitative Methods and Economic History. His research focuses on applied economics, particularly in environmental economics, agricultural policy, and socioeconomic analysis of rural and coastal ecosystems. He has collaborated with José Miguel Martínez Paz and others on cost-benefit analyses for environmental restoration projects, including the Mar Menor coastal lagoon and Portmán Bay. PhD in Economics from the University of Murcia (2014) Specializes in EU Common Agricultural Policy (CAP) reforms and their socioeconomic impacts Expertise in contingent valuation and choice experiments for environmental goods Active in modeling agricultural risk and policy scenarios His recent publications analyze climate change impacts on irrigation agriculture, CAP post-2020 reforms, and consumer preferences for circular bioeconomy attributes. He also contributes educational materials like the Guía de Estudio de Macroeconomía (2022). While no specific scientific awards are documented in the provided texts, his work on environmental valuation and policy implementation remains influential. Collaborations span institutions such as European Commission agencies and regional governments, with a focus on transdisciplinary approaches to environmental and agricultural challenges. His research frequently addresses policy effectiveness, resource allocation, and public perception in water management and agricultural sustainability.

Neil McIntyreView profile

Professor

• Hydrology
• Water Resources
• Environmental Engineering
• +3 more

Professor Neil McIntyre is a civil engineer with expertise in hydrology and water resources at the University of Queensland (UQ). He divides his time between the Centre for Water in the Minerals Industry and the School of Civil Engineering. His research focuses include water resource systems modeling, mining impacts on water resources, remote sensing in hydrology, and stochastic hydrology. McIntyre earned a BEng in Civil Engineering from Edinburgh University (1990), an MSc in Environmental Engineering (1998), and a PhD in water quality modeling from Imperial College. He served as a Lecturer and Reader at Imperial (2001–2013), teaching water quality, hydrometry, hydraulics, and water resources engineering, and directed the Hydrology MSc program for five years. McIntyre's work spans Australia and the UK, with international projects in Thailand, Uganda, Botswana, Peru, Chile, Colombia, Mongolia, and China. He has contributed to the British Hydrological Society, ICE’s Water Expert Panel, and the NERC Peer Review College. His awards include the Institution of Civil Engineers’ Baker Medal and RA Carr Award for water resources research, alongside an ARC Future Fellowship (2014–2019). His recent publications emphasize desalination sustainability, mine closure risks, remote sensing applications, and erosion modeling. The 15 most recent articles reflect interdisciplinary themes in hydrology, environmental engineering, and climate-water-food nexus challenges. McIntyre actively supervises PhD students, with current projects on desalination impacts, chloride deposition, and climate-resilient land management. He has secured substantial funding from CRC TIME, ARC Linkage Projects, and industry partners like Stanmore Resources and CleanCo. Scientific Awards Baker Medal RA Carr Award ARC Future Fellowship (2014–2019)

Kevin A. AngstadtView profile

Assistant Professor

• Computer Architecture
• Programming Languages
• Software Engineering
• +5 more

Kevin A. Angstadt is an Assistant Professor in the Department of Mathematics, Computer Science, and Statistics at St. Lawrence University. His research bridges computer architecture, programming languages, and software engineering, focusing on programming support for emerging hardware technologies like FPGAs and custom accelerators. He teaches systems-oriented courses such as Computer Organization and Programming Languages. Ph.D., Computer Science and Engineering, University of Michigan (2020) MCS, Computer Science, University of Virginia (2016) B.S., Computer Science, Mathematics, and German Studies, St. Lawrence University (2014) His research explores automata processing for hardware acceleration, deterministic/non-deterministic finite automata for accelerators, and resiliency in autonomous vehicles. He develops tools like MNRL Network Representation Language, AutomataSynth, and RAPID Compiler for pattern-matching applications. Recent publications focus on hardware fault tolerance, autonomous system repair, and automata-based programming. Key conferences include ASPLOS, IEEE MICRO, and ICCPS. Awards include a $1.2M NSF grant (2022), TECHCON 2016 Best in Session, and Mac Krell Fellowship (2014–2017). He co-advises research projects and maintains the CS Grad Job and Interview Guide , a collaborative resource for academic career preparation. His lab works on open-source state machine ecosystems and hardware-software co-design frameworks.

Mojtaba Naghdyzadegan JahromiView profile

Researcher

• Crop Modeling
• Remote Sensing
• Machine Learning
• +3 more

Mojtaba Naghdyzadegan Jahromi is a postdoctoral researcher at the University of Oulu in the Hydrosystems Engineering & Management (HEM) research group within the Water, Energy, and Environmental Engineering Research Unit . He holds a Ph.D. in Agriculture-Water Engineering from Shiraz University (2023) and has previously worked at Shiraz University, Ghent University, and Georg-August University of Göttingen. B.Sc. and M.Sc. in Water Engineering , Shiraz University Ph.D. in Agriculture-Water Engineering , Shiraz University His research focuses on crop modeling , remote sensing , and machine learning for agricultural and environmental applications. Recent work includes wheat yield prediction , inland water body depletion analysis , and precision agriculture techniques. Publications span journals like European Journal of Agronomy and Water , book chapters on remote sensing and machine learning, and conferences including EGU and Tropentag. Ph.D. Student Travel Grant (2021), Ministry of Science, Iran Student Travel Grant (2017), ICTP, Italy Tropentag 2015 Grant Award He has contributed to interdisciplinary projects involving Google Earth Engine , MODIS data , and GLEAM evapotranspiration models , with applications in water resource management and climate change impact assessment.

Francesco PillaView profile

Professor

• Smart Cities
• Geospatial Analysis
• Urban Dynamics
• +11 more

Francesco Pilla is a Full Professor at University College Dublin's School of Architecture, Planning and Environmental Policy, specializing in Smart and Sustainable Cities. His work bridges urban technology, geospatial modeling, and citizen science initiatives. Coordinates EU Horizon projects: iSCAPE (air pollution control), OPERANDUM (flood risk reduction), WeCount (mobility systems), Connecting Nature (nature-based solutions) Leads SFI Investigator Grant on scalable mobility analytics Co-Director of Spatial Dynamics Lab Research focuses on: Geospatial big data & AI integration Participatory sensing with low-cost sensors Climate action through educational co-design Urban microclimate optimization Policy-driven AI consensus models Key articles demonstrate expertise in air quality monitoring, traffic safety analysis, and energy-efficient urban design. Awards include: Haagen-Smit Prize for atmospheric research Electric Vehicle Awards 2024 for eMobility innovation Academic Research Award from Financial Times Teaching responsibilities include: Advanced GIS (2018-2025) Smart Cities module (2019-2024) Research Methods coordination (2019-2024) Labs & Teams: Co-Director of Spatial Dynamics Lab, member of Science Foundation Ireland Energy Institute, and collaborator with MIT & IBM research labs.

Fan YangView profile

Assistant Professor

• Data Mining
• Machine Learning
• Trustworthy AI
• +9 more

Fan Yang is an Assistant Professor in the Department of Computer Science at Wake Forest University. He earned his Ph.D. in Computer Science from Rice University under Dr. Xia (Ben) Hu. His industry experience includes roles at J.P. Morgan AI Research, Visa Research, and Meta AI. Research Focus: Trustworthy AI, emphasizing Interpretable Learning and Model Explainability. He aims to make AI systems auditable, ethical, and robust. Applications: Misinformation Detection, Recommender Systems, Health Informatics, and Financial Forecasting. Interdisciplinary Interests: Collaborations with Neurosciences, Psychology, and Linguistics. Scientific Awards: Received CRII award (IIS Division) and R21 award (NCI) for his research initiatives. Teaching: Instructs courses on Fundamentals of Computer Science (CSC 112) and Machine Learning (CSC 374/674).