Find Academic Supervisors

• Spatial Data Infrastructures
• Geospatial Information Ecosystem
• Artificial Intelligence
• +3 more

Dr. Lesley Arnold holds an Adjunct Associate Professor position at Curtin University's School of Earth and Planetary Sciences within the Faculty of Science and Engineering. She specializes in governmental geospatial information policy, working globally with organizations like the United Nations and World Bank to strengthen geospatial management for sustainable development. As a lead author of the UN-GGIM Integrated Geospatial Information Framework (IGIF), she develops strategies for spatial data reform, open data initiatives, and SDI policies. Her career includes executive roles at Landgate, where she managed WA's geospatial programs, and leadership positions in intergovernmental committees such as ICSM and AuScope. Education: PhD in Spatial Science (Curtin University, 2005), BSc (First Class Honours) in Cartography (Curtin, 1996), and a Diploma in Cartography (Wembley Technical College, 1985). Awards include the SSSI Fellowship and D.B. Johnston Award for spatial sciences excellence. Research focuses on Spatial Data Infrastructures (SDIs), geospatial ecosystems powered by AI, data supply chains, and integrated geoinformation management. She has authored papers on semantic web technologies, geospatial provenance models, and decision-making frameworks for coastal management. Professional roles include Board Directorships at AuScope and AURIN, and executive leadership in global geospatial initiatives. Her work emphasizes collaboration across governments, academia, and industry to build sustainable geospatial data ecosystems.

• Artificial Intelligence
• Machine Learning
• Internet of Things
• +13 more

Edoardo Patti is an Associate Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, Italy. He is actively involved in research and teaching, focusing on artificial intelligence, machine learning, IoT, smart grids, energy communities, co-simulation, and digital twin technologies. He is a member of the EDA (Electronic Design Automation) research group and the Interdepartmental Center IAM@PoliTo for Integrated Additive Manufacturing. His research interests span Artificial Intelligence, Machine Learning, Internet of Things, Smart Grids, Energy Communities, Co-simulation, Distributed Software Infrastructure, Digital Twin, Physics-Informed Neural Networks, and Reinforcement Learning . His work is closely aligned with Sustainable Development Goals such as Affordable and Clean Energy (Goal 7), Sustainable Cities (Goal 11), and Climate Action (Goal 13). The latest publications reveal a strong trend in AI-driven modeling for energy systems, including digital twins for wave energy converters, urban electric mobility simulation, real-time battery health estimation, and co-simulation platforms for integrated energy systems. His work combines machine learning with physical models and large-scale distributed systems to address sustainability challenges. He supervises several PhD students, including Maria Adelaide Loffa, Matia Torlini, Rafael Natalio Fontana Crespo, Pietro Rando Mazzarino, Claudia De Vizia, and Marco Massano. He has led numerous research projects funded by EU (H2020), PNRR, regional initiatives, and corporate contracts, particularly in additive manufacturing, smart grids, and IoT platforms. He is involved in multiple research groups and centers: EDA - Electronic Design Automation (DAUIN) Interdepartmental Center IAM@PoliTo - Integrated Additive Manufacturing

Tomislav HenglView profile

Researcher

• Machine Learning
• Environmental Data Analysis
• Soil Science
• +9 more

Dr. Tomislav Hengl is a leading researcher and Technical Director at OpenGeoHub Foundation and Envirometrix BV, specializing in spatial statistics, machine learning, and environmental data science. With over 20 years of experience in predictive soil mapping and geostatistics, he has pioneered open source frameworks for automated global environmental mapping. Co-founder of OpenGeoHub Foundation Initiator of OpenGeoHub Summer Schools (running since 2007) Project leader of OpenLandMap system Recipient of Clarivate Highly Cited Researcher (2021) His research focuses on: Machine learning for spatial/spatiotemporal data Environmental data cube systems Global soil and vegetation mapping Open source geospatial software development Spatio-temporal predictive modeling Cloud computing for Earth observation data Recent research trends include: Development of high-resolution global terrain models Analysis of vegetation productivity using satellite time-series Ensemble machine learning for environmental mapping Integration of multi-source geospatial datasets Applications in climate change impact assessment Advancing open data infrastructures Scientific contributions include: Clarivate Highly Cited Researcher (2021) Over 60 journal publications Founding Vice-Chair of the International Society for Geomorphometry (2011-2015) Development of open source R packages for geospatial analysis

Jatinder SinghView profile

Professor

• Accountability in AI Systems
• Responsible AI Development
• Data Governance and Stewardship
• +7 more

Jatinder Singh is a Professor at the RC Trust and Principal Research Associate (equivalent to Research Professor) at the Department of Computer Science & Technology, University of Cambridge. He is primarily affiliated with the University of Duisburg-Essen, Germany, where he leads the Compliant and Accountable Systems research group within the Law department. His work operates at the critical intersection of computer science, legal frameworks, and societal impact, focusing on practical implementations that align technology with regulatory requirements while addressing user and community concerns. Research interests center on accountability mechanisms for AI systems, responsible development practices, data governance, and privacy/security in emerging technologies. He examines governance, agency, trustworthiness, and transparency gaps in algorithmic systems through interdisciplinary socio-technical lenses. Current work addresses bias in LLMs, stakeholder participation frameworks, and human rights implications in domains like healthcare, maritime enforcement, and consumer IoT, emphasizing contextual awareness and real-world applicability. His 15 most recent publications (2025-2024) reveal dominant trends in AI transparency, fairness proxy development, and legal-compliance engineering. Key focus areas include stakeholder involvement in AI governance, bias mitigation in language models, data justice applications for vulnerable populations, and operationalizing human-centered AI in clinical settings. The work consistently bridges technical implementation with regulatory frameworks like the EU Cyber Resilience Act and GDPR. Scientific Awards: No awards or fellowships were mentioned in the provided text. Advising and Grants: The text does not specify PhD/Master's students or grant details. As leader of an active research group publishing high-impact work on EU regulations and human rights, he likely directs funded projects and mentors early-career researchers, though concrete evidence is absent in the source material. His position suggests involvement in interdisciplinary grant consortia addressing socio-technical challenges. Labs and Teams: Singh leads the Compliant and Accountable Systems research group at University of Duisburg-Essen, which collaborates across university-wide clusters including Artificial Intelligence and Society, Human-AI Interaction, Trustworthy Human Language Technologies, and Verification of Machine Learning. The group develops frameworks for legal compliance in AI, focusing on demonstrable accountability through tools for transparency, bias auditing, and stakeholder engagement in real-world deployments.

• Software Engineering
• Cryptography & Blockchain
• Internet of Things
• +1 more

Dr Nguyen Tran is a Researcher at the School of Computer and Mathematical Sciences , part of the Faculty of Sciences, Engineering and Technology at the University of Adelaide . His work focuses on developing software systems that are correct, efficient, and secure, particularly through the application of blockchain and related technologies. Nguyen Tran's research spans four key domains: Software Engineering for large-scale systems, Cryptography & Blockchain for security, Internet of Things for physical-digital integration, Machine Intelligence for automation. He is eligible to co-supervise Masters and PhD students and contributes to the Centre for Research on Engineering Software Technology . His publications highlight advancements in blockchain metadata management, IoT search engines, and decentralized provenance systems.

Drahomira CuparView profile

Associate Professor

• Information Organization
• Information Retrieval
• Reading Habits Research
• +4 more

Assoc. Prof. Drahomira Cupar is an Associate Professor at the Department of Information Sciences and Technologies, University of Zadar. She specializes in information organization, digital humanities, and reading habits research. Her work focuses on classification systems, open access publishing, and cultural heritage preservation. She actively participates in projects like TRIPLE, OPERAS-PLUS, and CRAFT-OA. Consultation hours are Wednesdays 10:00–12:00 via email. Her research spans over 60 publications covering digital transformation of historical texts, metadata strategies, and literacy promotion. Key projects include digitization of Glagolitic texts and development of multilingual taxonomies. She teaches courses on information organization, research methodology, and library science. Awards section is currently unspecified. Grants involve EU-funded initiatives focusing on open science infrastructure and digital preservation. She leads the Thesaurus.hr initiative and contributes to the OPERAS network.

• Visual Analytics
• Temporal Data Analysis
• Data Cleansing
• +3 more

Theresia Gschwandtner is a Researcher at TU Wien's Research Division of Visual Analytics (E193-07). Her work focuses on advancing visual analytics methodologies for temporal data, fraud detection, and uncertainty visualization. She leads the Network Lab and contributes to tools like TimeCleanser for data cleansing and NEVA for fraudulent network identification. Her research emphasizes interactive systems for guidance in data analysis, provenance tracking, and enhancing user-centric visualization frameworks. Key research interests include temporal data preprocessing, multivariate time series analysis, and the integration of automated guidance systems into visual analytics platforms. She has collaborated on projects such as Hermes (economic network exploration) and TBSSvis (temporal blind source separation), which combine algorithmic innovation with intuitive user interfaces. Guidance frameworks and user studies are central to her work, exploring how automated support impacts performance and mental state during complex data analysis tasks. She has advised students on theses addressing data quality, cyclical pattern detection, and lighting design visualization. Notable contributions include the Quantifying Uncertainty in Time Series Processing framework and the LightGuider system for interactive lighting design guidance. Her work bridges theoretical advancements with practical applications in healthcare, finance, and engineering domains.

• 6G Networks
• Telemedicine
• Medical Robotics
• +3 more

Nicolai Kröger is a researcher at the Chair of Communication Networks (Prof. Kellerer) at the Technical University of Munich (TUM). He holds an M.Sc. in Electrical and Computer Engineering from TUM, where his thesis focused on P4 switch performance modeling using queuing theory. His current research centers on 6G networks for critical telemedicine applications, particularly within the 6G-Life project, emphasizing end-to-end communication for medical robotics and surgical systems. He contributes to projects like the 6G Future Lab Bavaria and collaborates with the MITI group at Rechts der Isar Hospital to develop medical testbeds requiring high availability and low latency. Kröger also supervises student theses on 5G/6G security, network optimization, and in-network computing. His technical expertise spans programmable networks (P4), SDN, and performance analysis of network devices. He serves as a supervisor for student projects and internships, including implementations of medical testbeds and security analyses of cellular broadcast messages. His work bridges academic research with practical applications, aiming to advance communication networks for healthcare and future 6G systems.

Oliver HöftbergerView profile

Researcher

• Cyber-Physical Systems
• Real-Time Systems
• Embedded Systems
• +5 more

Oliver Höftberger is affiliated with TU Wien's Institut für Technische Informatik , part of the Faculty of Informatics. His research focuses on Cyber-Physical Systems , Real-Time Systems , Embedded Systems , and Resilient Systems-of-Systems . He has contributed to frameworks for self-healing cyber-physical systems and resilient master clocks, emphasizing fault tolerance and dynamic reconfiguration. Publications highlight work on emergence phenomena in systems-of-systems, ontology-based runtime adaptation, and multi-core processor architectures like the ACROSS MPSoC for safety-critical applications. He has advised multiple PhD and Master’s students, including Denise Ratasich, Nazir Alakhras, and Julian Grahsl. Key projects include the universAAL platform for Ambient Assisted Living and sensor fusion packages for robotics (ROS). His research bridges theoretical systems modeling with practical implementations in complex, safety-critical domains.

Gilles JEANNOTView profile

Professor

• Public Service Users
• Civil Servants' Work
• Public Administration Management Tools
• +4 more

Gilles JEANNOT is a Professor and President of the Humanities and Social Sciences (SHS) Department at the National School of Bridges and Roads (École des Ponts ParisTech), where he also serves as a researcher at the Latts laboratory (Laboratoire d’Analyse et de Théories Sociales). His work bridges academia and public policy, focusing on public service dynamics, civil servant experiences, and the transformative impact of digital technologies on governance and urban development. **Education and Affiliations:** - Doctorate (likely in Sociology or Public Policy, though exact details not specified). - Member of Latts (CNRS-affiliated laboratory), collaborating with University of Marne-la-Vallée (now Université Gustave Eiffel). - Involved in European research projects (e.g., FP7 COCOPS). **Research Themes:** Public service users and their evolving relationships with administrative systems. Civil servants’ work conditions and the impact of management reforms. Smart cities and digital governance, including critiques of 'platform states' and data-driven urban policies. Neo-public management tools and their bureaucratic implications across European administrations. **Teaching:** - Courses on public action sociology/social movements for civil servants (MPAPDD program). - Modules on quantitative methods and data use in management for engineering students (e.g., 'Power of Figures'). **Key Research Contributions:** - Analyzed the 'digital privatization' of public services and its exclusionary effects. - Explored tensions between bureaucratic tradition and modernization in French and European contexts. - Documented civil servants’ perceptions of management reforms through surveys (e.g., INSEE, COCOPS projects). **Funding & Collaborations:** - Led interdisciplinary projects on smart cities and public administration. - Collaborated with institutions like the CNRS, Universities of Marne-la-Vallée, and international partners (e.g., Barry Goodchild on cross-national urban policies). **Current Focus:** - Critiquing digital governance models (e.g., 'platform states') and their socio-technical regimes. - Investigating how public administrations adapt to AI and data-driven policymaking.

• Service-Oriented Architectures
• Data Management
• Cloud Computing
• +5 more

Dimosthenis Kyriazis is a Professor at the University of Piraeus, affiliated with the Research Center. He currently teaches courses such as C Programming, e-Business, and Information Systems. His research focuses on service-oriented architectures, cloud/edge computing, data management, and healthcare informatics. Kyriazis holds a PhD from the National Technical University of Athens (NTUA) and has contributed to EU-funded projects like BigDataStack and CrowdHEALTH, addressing quality of service, workflow management, and IoT applications. He leads research on data management in cloud/edge environments, socially-enhanced IoT management, and big data applications in sectors like finance and e-health. His expertise spans distributed systems, software engineering, and interdisciplinary collaborations with industries and academia. He has participated in EU working groups on Future Internet Architecture and Cloud QoS&SLAs. Kyriazis actively seeks interns and collaborates on initiatives like AI-driven healthcare platforms (iHELP) and sustainable computing practices. His work emphasizes human-centric AI, data interoperability, and ethical AI frameworks such as AI4Gov for transparent governance. Education: Diploma in Electrical and Computer Engineering (NTUA, 2001), MSc in Techno-economics (NTUA/University of Athens/University of Piraeus, 2004), PhD in Service-Oriented Architectures (NTUA, 2007). Key research areas include federated data marketplaces (FAME), healthcare data integration (holistic health records), and AI applications in finance (DeepVaR). His publications address topics like explainable AI (XAI), defect detection in manufacturing, and environmental risk correlation with health. Grants and collaborations involve coordinating EU projects targeting data governance frameworks, energy-efficient mobility data spaces (Mobispaces), and AI for policy-making (e.g., OECD AI policy analysis). His contributions bridge technical innovation with societal impact through sustainable computing and ethical AI practices.

Christopher WarrenView profile

Professor

• Digital Humanities
• Law and Literature
• Political Theory
• +4 more

Christopher Warren is a Professor of English at Carnegie Mellon University , with a Courtesy Appointment in History and roles as Associate Department Head and director of CMU's minor in Humanities Analytics (HumAn) . He is co-founder of the digital humanities project Six Degrees of Francis Bacon and a founding member of the Center for Print, Networks, and Performance (CPNP) , while co-convening the Digital Humanities Faculty Research Group . Education: BA, English, Dartmouth College (1999) MA, English, Georgetown University (2003) DPhil, English, University of Oxford (2008) Warren's research spans Digital Humanities , Law and Literature , Political Theory , Early Modern Literature , Print Culture , and the History of Political Thought . His current project, Freedom and the Press before Freedom of the Press , uses machine learning to recover anonymous craftsmen in early modern clandestine printing. His 2015 monograph Literature and the Law of Nations, 1580-1680 (Oxford University Press) examines intersections between literary genres and foundational international legal concepts. His publications focus on 17th-century literature , computational bibliography , and network analysis , with recent work appearing in Shakespeare Quarterly , Eighteenth-Century Studies , and ArXiv:CS . Articles often address Thomas Hobbes , John Milton , and Shakespeare through lenses of political philosophy , anonymity in print culture , and historical legal frameworks . Scientific Awards: Roland H. Bainton Prize for Literature (2016) Warren actively mentors graduate students in Early Modern Studies , Digital Humanities , and Print Culture , and advocates for humanities funding through the National Humanities Alliance . He previously held positions at Oxford University, University College London, NUI-Galway, and the University of Chicago.

• Computer Science Education
• Logic Programming
• Ontology Engineering
• +2 more

Laura Andrea Cecchi is an active researcher specializing in computer science education, logic programming, and ontology engineering. Her work focuses on developing innovative pedagogical approaches for teaching computational thinking at early educational stages, with significant contributions to gender-inclusive STEM education. Research Interests: Her primary research explores: Logic programming curriculum development for primary education Visual tools for ontology engineering and knowledge representation Eye-tracking and HCI applications in programming pedagogy Gender-inclusive strategies for computer science education Automated reasoning in ontology-based systems Publication Trends: Her recent work (2020-2024) shows a strong focus on educational technology and democratizing programming education, while earlier publications (2015-2019) centered on formal methods and ontology engineering. She consistently publishes at premier computer science conferences including ICLP, CLEI, and IJCAI. Collaborations: Frequent collaborations with Jorge Pablo Rodríguez and Verónica Dahl appear across her publication record, particularly in education-focused research.

Douglas GillespieView profile

Research Fellow

• Marine mammal bioacoustics
• Passive acoustic monitoring
• Effects of offshore renewables on marine life
• +5 more

Douglas Gillespie is a Principal Research Fellow at the University of St Andrews, affiliated with the School of Biology, Sea Mammal Research Unit, and Scottish Oceans Institute. He is also part of the Sound Tags Group, Bioacoustics group, and Marine Alliance for Science & Technology Scotland. His work focuses on marine mammal bioacoustics and passive acoustic monitoring, particularly in relation to offshore renewable energy development. Dr. Gillespie's research interests center around passive acoustic monitoring (PAM) as an effective method for detecting cetaceans and assessing their behavior in proximity to human activities such as seismic surveys, military sonar exercises, offshore energy extraction, and shipping. He specializes in studying how small cetaceans like harbour porpoises and dolphins behave near tidal energy devices, investigating whether animals approach operational turbines, exhibit habitat exclusion, or demonstrate fine-scale avoidance behavior near turbine blades. His recent publications reveal a strong focus on the intersection of marine mammal conservation and renewable energy development, with particular emphasis on tidal turbine impacts. His work combines advanced acoustic monitoring techniques with innovative software development, especially through the PAMGuard project which he manages and contributes to significantly. The research shows increasing integration of machine learning approaches for bioacoustic analysis and detection. Dr. Gillespie has been actively involved in multiple research projects funded by organizations including EPSRC, NERC, and the Scottish Government. His work contributes to UN Sustainable Development Goals related to environmental protection and sustainable energy. As the manager of the PAMGuard project, he has developed open-source software for the detection and localization of marine mammal vocalizations, optimized for real-time use in the field with applications in abundance surveys and mitigation monitoring. His current research involves collecting data from operational turbines on Scotland's North Coast using 12 hydrophones sampling at 500kHz.

Dilum BandaraView profile

Academic

• Distributed Systems
• Blockchain
• Cloud Computing
• +13 more

Dilum Bandara is a Principal Research Scientist at CSIRO's Data61 in Australia and an Adjunct Senior Lecturer at the School of Computer Science and Engineering, Faculty of Engineering, University of New South Wales (UNSW). He has previously served as a Senior Lecturer at the University of Moratuwa, Sri Lanka, and has over two decades of experience in research, teaching, and consultancy in distributed systems, security, and software engineering. His academic qualifications include: PhD in Computer Science, Colorado State University, USA (2012) MS in Computer Science, Colorado State University, USA (2008) BSc Eng. (Hons) in Computer Science and Engineering, University of Moratuwa, Sri Lanka (2004) Dilum's research interests are centered on Distributed Systems (Blockchain, Cloud, P2P), Computer Security , Software Architecture , Data Engineering , Performance Engineering , and the Internet of Things (IoT) . He applies these technologies in multidisciplinary domains such as Supply Chains , Digital Finance , Environmental, Social, and Governance (ESG) , Fleet Management , and Weather Monitoring . His work emphasizes real-world impact through trusted data management in multi-party ecosystems. The analysis of his recent publications reveals a strong focus on blockchain for transparency and security, cloud-native performance engineering, IoT integration with edge and cloud, and data-driven solutions for smart cities and sustainability. His work consistently bridges theoretical innovation with practical deployment, particularly in national and international infrastructure projects. His scientific awards include: Best Paper Award at BPM 2024 Multiple CSIRO internal awards (Customer First, Engineering and Technology, Collaboration) from 2021–2023 Student Paper Award (Merit) at IEEE SOLI 2018 Award of Excellence for Outstanding Research at University of Moratuwa (2015–2018) Dilum has led and contributed to several research grants, particularly during his time at the University of Moratuwa, including projects on smart city integration, real-time data forecasting, and cloud platforms for scientific computing. He has also held leadership roles such as Director of the Engineering Research Unit and co-founder of VaticHub. He is actively involved in professional communities as a Senior Member of IEEE and a Chartered Engineer with IESL. At CSIRO, he serves as a Health and Safety Representative, reflecting his commitment to corporate citizenship. He has advised students and early-career researchers, though specific names are not listed in the provided text. His labs and research teams include the Architecture and Analytics Platforms (AAP) team at CSIRO Data61 and collaborations with academic institutions like UNSW and University of Moratuwa.