جست‌وجوی استاد و پژوهشگر

Tomislav Henglمشاهده پروفایل

پژوهشگر

• Machine Learning
• Environmental Data Analysis
• Soil Science
• +۹ مورد دیگر

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

• High Performance Computing
• Software Engineering for HPC
• Code Generation
• +۱۲ مورد دیگر

Harald Köstler is an Associate Professor and Head of Research at the Erlangen National High Performance Computing Center (NHR@FAU) within the Department of Computer Science at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). He leads the research group on HPC Software Design at the Chair of Computer Science 10 (System Simulation), focusing on software engineering for high-performance computing and data analytics. His research interests include: Software Engineering for HPC Code Generation for Numerical Solvers Performance Engineering on Hybrid Architectures Discontinuous Galerkin and Lattice Boltzmann Methods Multigrid Solvers and Parallel Algorithms Performance Portability across CPUs, GPUs, and FPGAs The recent publications highlight a strong trend in developing efficient, scalable, and portable simulation frameworks for complex physical systems. His work emphasizes code generation, performance optimization, and the integration of classical model-driven and data-driven approaches. Key application areas include computational fluid dynamics, geotechnical engineering, and climate modeling, often leveraging the waLBerla and ExaStencils frameworks. Harald Köstler has no listed scientific awards in the provided text. He advises students in the areas of high-performance computing, numerical methods, and software engineering for scientific applications. His research is supported by collaborations within the FAU HPC ecosystem and likely involves grants related to national high-performance computing initiatives. He is a key contributor to the waLBerla framework, a block-structured, high-performance software for multiphysics simulations, and is involved with the ExaStencils project, which focuses on advanced multigrid solver generation. These frameworks form the core of his research team's efforts in scalable scientific computing.

Jatinder Singhمشاهده پروفایل

استاد

• Accountability in AI Systems
• Responsible AI Development
• Data Governance and Stewardship
• +۷ مورد دیگر

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.

• Statistics
• Sports science and exercise
• Ecological applications
• +۷ مورد دیگر

Paul Wu is an Associate Professor in the School of Mathematical Sciences at Queensland University of Technology (QUT), Faculty of Science, where he also serves as an industry research fellow in the strategic partnership between the Centre for Data Science (CDS) and AIS/QAS. He leads the sports systems domain within CDS and applies statistical and machine learning models to complex systems across sports, marine science, and defence sectors. PhD, Queensland University of Technology Master of Engineering Science (Computer and Comm Engineering), Queensland University of Technology Bachelor of Engineering (Electrical and Computer Engineering), Queensland University of Technology His research focuses on Bayesian statistics, dynamic Bayesian networks, state space modelling, and simulation techniques. He works closely with domain experts to solve real-world problems in sports performance, ecological resilience, and human systems. His interdisciplinary work spans sports science , marine ecology , and defence applications . Paul’s recent publications demonstrate a strong trajectory in predictive analytics for elite sports and ecosystem modelling, particularly using Bayesian frameworks. His work on swimming performance prediction has informed national training strategies and contributed to competitive success. He has also advanced methods in clustering, model adaptation, and psychosocial risk assessment. His scientific contributions have been recognized through impactful collaborations with elite sports organizations including the Australian Institute of Sport, Swimming Australia, and the West Coast Eagles. Testimonials highlight his role in transforming data analytics in sports injury recovery and performance optimization. Applied Bayesian models in elite sports decision-making Developed predictive tools for marine ecosystem resilience Collaborated on over 30 industry and government projects Supervises research in complex sports data analytics Paul leads a dynamic research environment focused on translating statistical innovation into practical impact across diverse domains.

• Water Systems Modelling
• Sustainability
• Integrated Water Cycle Management
• +۵ مورد دیگر

Yang Liu is a Lecturer at the University of Leicester, United Kingdom, and previously served as a Postdoctoral Research Associate in the Department of Materials at Imperial College London (2019–2024). His research spans two key areas: failure mechanisms of metallic materials using crystal plasticity modelling and water systems engineering, with a focus on sustainability and integrated modelling. He holds an Academic Visitor affiliation at Imperial College’s Faculty of Engineering. Research interests include water quality management, socio-hydrological phenomena, resilience assessment frameworks, and the application of nature-based solutions. He has developed the WSIMOD Python package for simulating water systems and contributed to global infrastructure sustainability studies. His work emphasizes interdisciplinary approaches, blending hydrological models, urban-rural coordination, and meta-modelling to address water management challenges. He has authored numerous papers on topics such as constructed wetlands, catchment classification, and cost-efficient resilience strategies.

• Model-Driven Engineering
• Robotics Software Engineering
• Software Architecture
• +۳ مورد دیگر

Federico Ciccozzi is an Associate Professor in Computer Science at Mälardalen University's School of Innovation, Design and Engineering, where he leads the ASSO research group and the VR ORPHEUS project. He also serves as Head of Research Education in Computer Science and Electronics at the university. His academic journey includes a M.Sc. in Global Software Engineering (via the GSEEM program) and a Ph.D. in Computer Science and Engineering from Mälardalen University (2014), followed by promotion to Docent (Associate Professor) in 2017. Education: M.Sc. in Global Software Engineering (GSEEM program, joint between Mälardalen, L'Aquila, and Amsterdam) Ph.D. in Computer Science and Engineering (Mälardalen University, 2014) Docent (Associate Professor) in Computer Science (Mälardalen University, 2017) His research focuses on model-driven engineering, robotics software engineering, and software architecture. He has pioneered work in blended modeling approaches, EAST-ADL extensions, and formal verification of complex systems, particularly in robotics and automotive domains. Recent projects emphasize industrial collaborations, such as optimizing ROS2 multi-robot systems and enhancing safety-critical software through model-based methodologies. Research Contributions: Developed frameworks for transforming surface languages into augmented EAST-ADL models Advanced blended modeling techniques across JetBrains MPS and Eclipse tools Examined consistency management in industrial model-driven development Edited special issues on model-driven engineering and low-code development His work bridges academic innovation and industrial practice, with notable projects like the Rubus Component Model for vehicular systems. He actively organizes workshops (e.g., RoSE, ASYDE) and contributes to standardization efforts like the Portable Test and Stimulus Standard. Labs/Teams: Leads the ASSO research group, focusing on advanced software engineering methodologies and robotics systems development.

• Information Systems
• Design Methodologies
• Product and Systems Design Engineering
• +۷ مورد دیگر

Thomas Spyrou is an Assistant Professor in the Department of Product and Systems Design Engineering at the University of the Aegean. He holds a Physics degree from the National and Kapodistrian University of Athens and a PhD in Decision Support Systems - Artificial Intelligence from the University of the Aegean. His research focuses on Information Systems, Design Methodologies, and Sustainability, with an emphasis on Decision Support Systems, Simulation, and Cybernetics. Key affiliations include the Department of Product and Systems Design Engineering at the University of the Aegean, where he has contributed to curricula development and interdisciplinary projects. His work spans design theory, digital tools for art and sustainability, and systems thinking applied to creative processes. Research interests include Design Support Systems, Biomimetic Service Design, and the integration of tacit knowledge into design frameworks. His recent projects involve tools like DDArtS for street art creation and Spyractable for tangible user interfaces. Over 50 publications highlight his contributions to design, technology, and cybersecurity.

Alberto L. Sangiovanni-Vincentelliمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Design Automation
• Embedded Systems
• +۷ مورد دیگر

Alberto L. Sangiovanni-Vincentelli holds the Edgar L. and Harold H. Buttner Chair of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He is a pioneer in Electronic Design Automation (EDA) and co-founder of Cadence and Synopsys. His research focuses on Cyber-Physical Systems (CPS), embedded systems, hybrid systems, and formal methods for AI. He has authored over 800 papers and 17 books, with major contributions to design automation and methodologies. Education: Dr. Ing., EECS, Politecnico di Milano (1971) Research interests include design methodologies, CPS, and AI integration. He has received numerous awards, including the IEEE James Clerk Maxwell Medal (2008) and ACM/IEEE A. Richard Newton Technical Impact Award (2009). He serves on multiple corporate boards and advisory councils, including the Strategic Committee of the Italian Strategic Fund and the Executive Committee of the Italian Institute of Technology. His work spans academia, industry, and policy, with a focus on innovation ecosystems and CPS design automation. Awards: Over 20 major honors, including Fellowships from IEEE and ACM.

• Cloud Computing Economics
• Software Service Platforms
• IT Service Economics
• +۶ مورد دیگر

Jörn Altmann is a Professor in the Department of Computer Science and Engineering at Seoul National University's College of Engineering. With a publication history spanning over three decades from 1994 to 2025, he has established himself as a leading researcher in the economics of computing services, particularly focusing on cloud computing economics, software service platforms, and IT service ecosystems. He has served as editor for the GECON (Economics of Grids, Clouds, Systems, and Services) conference proceedings for multiple years, demonstrating his leadership in the field. Altmann's research interests center on the economic aspects of computing infrastructure, with particular expertise in cloud federation models, resource allocation mechanisms, and the business dynamics of software service ecosystems. His work bridges technical computing concepts with economic theory, examining how market mechanisms can be applied to computing resource allocation. Recent research has expanded into cybersecurity economics, AI adoption frameworks, and knowledge management in distributed systems environments. His publications consistently explore the intersection of technology adoption patterns and economic incentives within computing ecosystems. Analysis of his recent publications reveals a strong focus on cloud federation architectures, trust mechanisms in cybersecurity information sharing, and the economic modeling of value creation in distributed computing environments. His work demonstrates a methodological diversity, employing game theory, agent-based modeling, systematic literature reviews, and empirical analysis of industry dynamics, particularly in the Korean technology sector. Altmann has collaborated extensively with researchers worldwide, with notable long-term collaborations with José Ángel Bañares, Omer F. Rana, Kurt Vanmechelen, and Korean researchers including Kibae Kim. His work has appeared in prestigious venues including Future Generation Computer Systems, IEEE Transactions on Engineering Management, and the GECON conference series which he has helped shape through editorial leadership. His research has practical implications for cloud service providers, enterprise IT strategy, and policy development in digital infrastructure. The consistent publication record and editorial leadership suggest active supervision of graduate students and research teams, though specific students are not documented in the provided publication records.

Steven J. Burianمشاهده پروفایل

دانشیار

• Sustainable Urban Water Systems
• Stormwater Management
• Green Infrastructure
• +۶ مورد دیگر

Steven J. Burian is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Utah. He holds a B.S. in Civil Engineering from the University of Notre Dame, an M.S. in Environmental Engineering, and a Ph.D. in Civil Engineering from The University of Alabama. He is a registered professional engineer in Utah and serves as Associate Director of the Global Change and Sustainability Center and Co-Director of Sustainability Curriculum Development at the University of Utah. His research focuses on sustainable urban water resource systems, including stormwater management, green infrastructure design, flood modeling, and climate adaptation strategies. Funded by NSF, EPA, DOD, and others, his work integrates engineering and sustainability to address urban water challenges. He has authored 50+ peer-reviewed publications and developed software tools used globally. Dr. Burian teaches courses in Hydrology, Hydraulics, Watershed Modeling, and Sustainability. He employs project-based learning and mentors new faculty through the ASCE ExCEEd Teaching Workshop. He co-founded an engineering consulting firm and leads interdisciplinary initiatives, including developing Utah's first Undergraduate Sustainability Certificate. Professional Service: Chair, ASCE EWRI Rainwater Harvesting Committee Steering Committee: AWRA Utah Section, Global Change & Ecosystems Center Member: AGU, AWWA, WEF, ASEE

Friso Bostoenمشاهده پروفایل

استادیار

• Competition Law
• Digital Regulation
• Antitrust Law
• +۵ مورد دیگر

Friso Bostoen is an Assistant Professor of Competition Law & Digital Regulation at Tilburg University , affiliated with TILT and TILEC . He holds a Ph.D. from KU Leuven and was a Max Weber Fellow at the European University Institute. Research Focus: Regulation of online platforms, AI, and generative AI under antitrust law, with a global perspective (Africa, Asia, Latin America). Teaching: Competition law at KU Leuven, London School of Economics, Erasmus University, Waseda University, and University of Trento. Publications: 15+ articles on AI, DMA, platform power, and antitrust enforcement in top journals. Side Activities: Editor of the CoRe Blog and host of the Monopoly Attack podcast. Research Trends: His work bridges antitrust law with digital innovation, focusing on AI, metaverse, and global platform regulation. Key themes include contestability in tech markets, gatekeeper designation frameworks, and adapting abuse-of-dominance assessments for free/digital products. Collaborations: Regularly co-authors with Giorgio Monti, Nicolas Petit, and Anouk van der Veer, addressing challenges in tech mergers, platform neutrality, and regulatory design.

Dilum Bandaraمشاهده پروفایل

عضو هیئت علمی

• Distributed Systems
• Blockchain
• Cloud Computing
• +۱۳ مورد دیگر

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.

Andreas Weichمشاهده پروفایل

استاد

• Media Education Theory
• Digital Media
• Postdigital Cultures
• +۳ مورد دیگر

Dr. Andreas Weich is Head of the Media | Transformation department at the Leibniz Institute for Educational Media (GEI) . He leads projects such as Generative KI als Bildungsmedium and Postdigital Participation in Education , and co-founded the Forum der Gesellschaft für Medienwissenschaft . His research bridges media studies and education, focusing on the sociocultural implications of digital and postdigital media in learning environments. Research interests include media and education theory , discourse/dispositive analysis , and digital/postdigital cultures . He is a peer reviewer for journals like Zeitschrift für Medienwissenschaft and merzWissenschaft . He received a DFG scholarship for his work on profiling technologies. Projects : GeKIB (2023–): Generative AI as an educational medium in schools DigIneq (2023–2026): Digital inequalities in Germany (1970s–1990s) Leibniz-ScienceCampus (2019–2027): Postdigital participation in Braunschweig Educational Ecosystems (2023–2024): Patterns and services in educational media Recent articles explore trends in postdigital media constellations, profiling technologies, educational data privacy, and the interplay between digital media and pedagogical dispositive structures. Scientific Awards : DFG Research Training Group 'Automatisms' Scholarship Notable contributions include monographs on profiling dispositives, edited volumes on postdigital participation, and foundational work on media constellation analysis as an interdisciplinary method.

Joshua Speagleمشاهده پروفایل

استادیار

• Astrostatistics
• Data Science
• Machine Learning
• +۷ مورد دیگر

Joshua Speagle is an Assistant Professor jointly appointed in the Department of Statistical Sciences and the David A. Dunlap Department of Astronomy & Astrophysics at the University of Toronto. He is also an Associate Member of the Dunlap Institute for Astronomy & Astrophysics and a Member of the Data Sciences Institute. His research lies at the intersection of statistics, astronomy, and computer science, focusing on astrostatistics and data-intensive astrophysics. His research interests include astrostatistics, data science, machine learning, statistical inference, and Bayesian methods. He develops novel statistical learning techniques to extract insights from large, complex datasets, particularly from astronomical surveys. His work emphasizes interpretability, robust inference, and computational efficiency, with applications to galaxy formation, stellar photometry, and 3D dust mapping. The trends in his recent publications reflect a strong focus on interdisciplinary methodologies, particularly in Bayesian inference, nested sampling, and machine learning applied to astrophysical problems. His work consistently bridges theoretical statistics with practical applications in astronomy, emphasizing open-source software and reproducible research. Banting Postdoctoral Fellowship Dunlap Fellowship Joshua Speagle is deeply committed to mentorship and collaboration. He co-leads the Astrostatistics Research Team (ART) with Gwen Eadie, mentoring students and postdocs across disciplines. He is involved in graduate and undergraduate research programs, including the Astronomy & Astrophysics Summer Undergraduate Research Program (SURP). He teaches courses in statistics and astronomy and serves on committees within the University of Toronto and professional societies such as the AAS, ASA-AIG, and SSC-DSA. He co-leads the interdisciplinary Astrostatistics Research Team (ART), which fosters a collaborative, inclusive environment focused on cutting-edge research at the intersection of statistics and AI. The team emphasizes open and accessible science, releasing open-source tools like dynesty and brutus , and mentoring the next generation of data scientists.

Pedro Soto Acostaمشاهده پروفایل

استاد

• Digital Transformation
• Business Economics
• Information Systems Management
• +۸ مورد دیگر

Pedro Soto Acosta is a Full Professor at the University of Murcia , holding the Department of Business Organization and Finance . He earned a European Doctorate in Business Administration, a Master’s in Technology Management, and dual bachelor’s degrees in Business Administration and Accounting & Finance from the University of Murcia and Manchester Metropolitan University. He has also completed postgraduate courses at Harvard University and participated in the Leonardo da Vinci program in Bradford. His research focuses on Digital Transformation Information Systems Management Knowledge Management Green Innovation Entrepreneurship E-business and has published extensively in Q1 journals like Journal of Knowledge Management and Technological Forecasting and Social Change . His work on AI, sustainability, and organizational change has earned awards such as the Premio ABG and Stanford University's Top 2% Influential Researchers . He serves as Editor-in-Chief of Benchmarking: An International Journal and holds editorial roles in 10+ journals. Pedro has held leadership positions including Chief Budget and European Funds Officer for the Region of Murcia and Vice-Chancellor Coordinator at the University of Murcia. With an h-index of 59 , his recent articles explore AI-driven innovation, pandemic digital acceleration, and social media's role in entrepreneurship, reflecting trends in digital resilience and sustainable ecosystems.