جست‌وجوی استاد و پژوهشگر

• Geotechnical Engineering
• Rock Mechanics
• Structural Geology
• +۷ مورد دیگر

Professor Rebecca Lunn is a distinguished academic in the Department of Civil and Environmental Engineering at the University of Strathclyde, holding the position of Professor within the Faculty of Engineering. Her research leadership spans geotechnical engineering, hydrogeology, and rock mechanics with significant contributions to sustainable ground engineering solutions. Her educational foundation includes a Master in Science in Engineering Hydrogeology and a Doctor of Engineering (PhD) in Civil Engineering from Newcastle University, complemented by a Bachelor of Arts in Mathematics from the University of Cambridge. This multidisciplinary background underpins her innovative research approach. Lunn's research focuses on cutting-edge ground engineering technologies, including bio-mediated mineral precipitation for soil stabilization, advanced grouting techniques using colloidal silica and detectable cementitious materials, and fault permeability analysis for nuclear waste disposal and carbon sequestration applications. Her work integrates field trials, laboratory experiments, and computational modeling to address critical environmental challenges in subsurface engineering. Recent publications (2024-2025) demonstrate a clear trend toward biogeochemical ground improvement and automated inspection technologies , with significant emphasis on microbial soil stabilization, groundwater geochemistry fingerprinting, and nuclear infrastructure monitoring. These works bridge geotechnical engineering with environmental sustainability and digital innovation. Her exceptional contributions have been recognized through prestigious honors: Election as Fellow of the Royal Academy of Engineering (2018) Member of the British Empire (MBE) for services to Engineering (2017) Outstanding Woman of Scotland award (2015) Fellowships of the Royal Society of Edinburgh and Institution of Civil Engineers (2014) Aberconway medallist from the Geological Society of London (2011) As Principal Investigator on major EPSRC-funded projects including the SATURN Centre for Doctoral Training in Nuclear Energy and MACO2 carbon capture initiative, Lunn has secured substantial research funding while mentoring the next generation of engineers. Her professional leadership includes chairing the Grout Group and speaking at international forums like the IGNITE Annual Event, where she advances sustainable engineering practices. Lunn actively leads research teams at Strathclyde utilizing specialized equipment for soil/rock mechanics testing and groundwater analysis. Current efforts focus on developing low-carbon ground engineering technologies, hydrogen storage solutions, and novel inspection methods for nuclear infrastructure, with direct applications to radioactive waste disposal and sustainable urban development.

• Optimization
• Aerodynamics
• Machine Learning
• +۲ مورد دیگر

Andrew Ning is a Professor in the Department of Mechanical Engineering at Brigham Young University, with a joint appointment at the National Renewable Energy Laboratory. He leads the FLOW Lab, focusing on optimization, deep learning, and aerodynamic simulation methods for wind energy systems and aircraft design . Education PhD & MS in Aeronautics and Astronautics from Stanford University BS in Applied Physics from Brigham Young University His research spans optimization , aerodynamics , and machine learning , addressing challenges in wind farm layout, aerostructural design, and urban air mobility vehicle analysis. The FLOW Lab develops advanced computational tools including vortex particle methods, beam theory implementations, and meshless simulation techniques. Recent publications demonstrate expertise in gradient-based optimization , unsteady potential flow , and multirotor aerodynamics . Key application areas include electric propulsion , solar aircraft , and floating offshore wind turbines . His work integrates high-fidelity modeling with computational efficiency through novel algorithm development. Office hours for Winter 2025: Mondays 3:30-4:00pm, Tuesdays 4:00-5:00pm, Wednesdays 11:00am-12:00pm, and Thursdays 1:00-2:00pm.

Jagruti Sahooمشاهده پروفایل

دانشیار

• Internet of Things (IoT)
• Cybersecurity
• Machine Learning
• +۳ مورد دیگر

Dr. Jagruti Sahoo is an Associate Professor in Computer Science and Academic Program Coordinator for the Cybersecurity Program at South Carolina State University (SCSU), USA. Her research focuses on Internet of Things (IoT) , cybersecurity , machine learning , vehicular networks , and network functions virtualization . Ph.D. in Computer Science and Information Engineering from National Central University, Taiwan (2013) Postdoctoral research at University of Sherbrooke and Concordia University, Canada (2013-2016) Her research lab explores optimization, security, and privacy in IoT and cyber-physical systems, particularly in smart transportation and smart farming domains. She has published extensively in IEEE journals and conferences, with expertise in fog node placement, vehicular network protocols, and VNF management. Dr. Sahoo serves on technical program committees for major conferences (IEEE ICC, Globecom, CCNC, LCN) and as Associate Editor for IEEE Access . She is certified by CompTIA Security+ and contributes to professional organizations like ACM, N² Women, and Women in Cybersecurity (WiCyS).

Will Midgleyمشاهده پروفایل

مدرس ارشد

• Mechatronics
• Robotics
• Control Engineering
• +۷ مورد دیگر

Dr. Will Midgley is a Senior Lecturer in Mechatronics and Robotics within the School of Mechanical and Manufacturing Engineering at the Faculty of Engineering, UNSW Sydney. His research focuses on applying control engineering principles to address critical challenges in transport decarbonization and vehicle systems optimization. His educational background includes: PhD from Cambridge University Dr. Midgley's research interests span multiple domains at the intersection of mechanical engineering, control systems, and artificial intelligence. He specializes in mechatronic systems design, robotics applications for transport, and advanced control techniques for reducing emissions from heavy goods vehicles and rail systems. His work integrates applied machine learning and deep learning approaches to solve real-world engineering challenges, particularly in vehicle safety applications and property estimation through machine vision. A significant portion of his research focuses on electric vehicle control systems and the decarbonization of transportation networks, addressing one of the most pressing environmental challenges of our time. Dr. Midgley has received several prestigious awards recognizing his contributions to engineering research: IMechE T A Stewart-Dyer Prize/Frederick Harvey Trevithick Prize for "the most meritorious paper on the subject of railway engineering" (2022) Fellowship of the Higher Education Academy (now AdvanceHE) (2020-) Best Poster Award, Intelligent Fluid Power Transmission and Control, University of Bath (2019) 2012 SAGE Highly Commended Paper for "Comparison of regenerative braking technologies for heavy goods vehicles in urban environments" (2013) Dr. Midgley has secured significant research funding for his innovative projects, including "Don't Forget the Mortar! A New Approach to Engineering Education" (£65,000, Royal Academy of Engineering, 2022-23), "Optimisation of Intermittent Electrification of Rail Transport for Near-Term Decarbonisation" (£37,000, DTE Network+, 2021-22), "Tyre-Road Friction Estimation using Maximum Entropy" (£24,000, EPSRC, 2021-22), and "Decarbonising High-Speed Bi-Mode Railway Vehicles through Optimal Power Control" (£158,000, RSSB, 2019-20). His research program demonstrates a strong commitment to translating theoretical advances into practical solutions for sustainable transportation. Dr. Midgley maintains an active research group focused on mechatronics, robotics, and applied machine learning, supervising students in areas of applied control, applied mechatronics, and applied machine learning. His international research experience includes work at Mitsubishi Heavy Industries in Japan and Loughborough University in the UK before joining UNSW Sydney.

Fabian Wagnerمشاهده پروفایل

پژوهشگر

• Sustainability Science
• Energy-Water-Climate-Air-Health Nexus
• Sustainable Development Goals (SDGs)
• +۹ مورد دیگر

Fabian Wagner is a senior research scholar at the International Institute for Applied Systems Analysis (IIASA), with adjunct faculty status at the Technical University of Vienna and Associate Faculty affiliation at the Complexity Science Hub (CSH) Vienna. He previously served as the Gerhard R. Andlinger Visiting Professor for Energy and the Environment at Princeton University’s Andlinger Center and Woodrow Wilson School during 2014–2016. Education: PhD in Theoretical Physics, University of Cambridge (UK) Master’s in Mathematics, University of Cambridge (UK) Master’s in History and Philosophy of Science, University of Cambridge (UK) Fabian’s research centers on sustainability science, particularly the interconnections between energy, water, climate, air, health, and sustainable development goals (SDGs). He employs advanced methodologies including network analysis, deep learning, optimization, and risk modeling. His current focus includes urban metabolism, resilience, climate-economy modeling, and integration of process-based and input-output analysis techniques. His interdisciplinary approach bridges physical, environmental, and socio-economic systems. The analysis of his publications from 2010 to 2025 reveals a consistent trajectory in sustainability and systems modeling, with increasing integration of data-driven methods like deep learning and network science. His work spans climate policy, urban sustainability, and global environmental change, often addressing complex, multi-scale challenges through integrated modeling frameworks. Scientific Awards: Cambridge University’s J.T. Knight’s Prize in Mathematics (1998) Fabian has advised interdisciplinary research initiatives and has consulted for major international organizations including the United Nations Framework Convention on Climate Change (UNFCCC) and the International Monetary Fund (IMF), indicating involvement in high-level policy-oriented research and advisory roles. While specific grants are not listed, his long-standing position at IIASA and collaborations with global institutions suggest sustained funding and leadership in large-scale research projects. He is actively involved in interdisciplinary research teams at IIASA, CSH Vienna, and through his affiliations with Princeton and TU Vienna, contributing to collaborative efforts in complexity science, energy systems, and sustainable development.

Vijayanarasimha Hindupur Pakkaمشاهده پروفایل

مدرس ارشد

• Electrical Power Systems Analysis
• Smart Grids
• Microgrid Operation and Control
• +۲۵ مورد دیگر

Vijayanarasimha Hindupur Pakka is a Senior Lecturer in Electrical Power Systems & Smart Grids at De Montfort University, UK, based in the School of Engineering and Sustainable Development within the Faculty of Computing, Engineering and Media. He is affiliated with the Institute of Energy & Sustainable Development (IESD) and the Engineering & Physical Sciences Institute (EPSI), contributing to cutting-edge research in sustainable energy systems and smart grids. Education: PhD in Computer Science, University of Southampton, UK (2005–2009) MSc (Engg) in Electrical Engineering, Indian Institute of Science, Bangalore, India (2002–2004) B.E. in Electrical & Electronics Engineering, Bangalore University, India (1997–2001) PGCertHE, De Montfort University, UK (2016–2017) His research focuses on smart grids, distributed energy integration, microgrid control, voltage regulation, electricity markets, and agent-based modeling. He applies advanced techniques such as machine learning, multi-agent systems, statistical models, and metaheuristics to power system challenges. His teaching includes power system analysis, electrical principles, and power electronics at both undergraduate and postgraduate levels. His recent publications (2022–2024) reflect a strong trend toward intelligent optimization in distribution systems, local energy planning, water quality modeling, and real-time occupancy sensing for energy efficiency. These works span disciplines including electrical engineering, environmental science, and building automation, with a clear emphasis on sustainability, data-driven modeling, and smart infrastructure. Scientific Awards and Recognition: Higher Certificate in Statistics, Royal Statistical Society (2013) Fellow of the Higher Education Academy (FHEA, 2017) Reviewer for EPSRC, Netherlands Organization for Scientific Research, IET, MDPI Energies, and several international journals Vijay Pakka actively supervises MSc and PhD students and has led or contributed to major research grants such as CASCADE, AMEN (EPSRC), and the UKRI-funded CEPREC project. His consultancy includes power and statistical system analysis. He is involved in KTP projects with industry partners like Advanced Infrastructure Technology Ltd and Midas Productions Ltd, focusing on data-driven energy planning and demand optimization. He is a member of IEEE, IET, CIGRE, and the Energy Institute, and regularly presents at international conferences such as CIRED, EEM, and IEEE SmartGridComm. His work bridges technical power systems with socio-economic and behavioral aspects of energy transitions, positioning him at the forefront of interdisciplinary energy research.

Di Yangمشاهده پروفایل

استادیار

• Remote Sensing
• Geospatial Analytics
• Machine Learning
• +۷ مورد دیگر

Di Yang is an Assistant Professor at the University of Florida, specializing in geospatial technologies and environmental monitoring. His research integrates machine learning, remote sensing, and citizen science to address land use changes, ecosystem dynamics, and human-environment interactions across global scales. He leads projects funded by NASA, BLM, and NCAR, focusing on topics like forest management, climate resilience, and geospatial cloud computing. Education: Ph.D. in Geography, University of Florida (2019) M.S. in Environmental Engineering, Texas A&M University-Kingsville (2013) B.S. in Environmental Science, Liaoning University of Petroleum and Chemical Technology (2011) Research Interests: Remote sensing applications, geospatial analytics, machine learning for environmental monitoring, citizen science, land change science, and sustainability. Grants & Projects: NASA: Forecasting Mosquito-Borne Disease Risk in a Changing Climate (PI) NASA Early-Career: Evaluating Long-term Impacts of Land-use Transformation on Fire Regimes BLM: Monitoring Yermo xanthocephalus using UAS and AI/ML His lab develops innovative frameworks like the Open Land-Use Map strategy and leverages platforms like Google Earth Engine for large-scale environmental analysis. Yang actively collaborates on NEON biodiversity surveys and contributes to ecological network design.

• Geographic Information Systems (GIS)
• Spatial Data Management
• Maritime Transportation Networks
• +۷ مورد دیگر

Christophe Claramunt is a distinguished researcher affiliated with the Naval Academy Research Institute in Brest, France. His work spans interdisciplinary domains at the intersection of Geographic Information Systems (GIS) , spatial data science , and human mobility analysis . He has pioneered hierarchical graph-based models for maritime and urban systems, semantic trajectory frameworks, and spatiotemporal approaches for urban soundscapes and shipping networks. Research Themes: GIS modeling, maritime transportation analytics, urban conflict analysis, semantic trajectories, geospatial data infrastructures Methodologies: Graph theory, machine learning, knowledge graphs, spatiotemporal databases, remote sensing Applications: Port network resilience, demining systems, tourist behavior analysis, cadastral digitization His recent publications focus on graph neural networks for spatial analysis, knowledge-driven competitive intelligence , and maritime network cascading failures . Collaborative work includes contributions to global container shipping modeling and urban acoustic environments. While no formal academic rank is listed in the source data, his extensive publication record and leadership in interdisciplinary projects confirm his status as a full faculty researcher.

Roberta Sinatraمشاهده پروفایل

استاد

• Network science
• Computational social science
• Science of science
• +۵ مورد دیگر

Roberta Sinatra is a Professor at IT University of Copenhagen working in the domain of Data Science Networks, Data, and Society. Her research spans network science, computational social science, and the science of science, with particular focus on algorithmic fairness, gender equality in scientific careers, and urban mobility networks. Research Interests Professor Sinatra's research focuses on understanding complex systems through network analysis with applications in social science, science policy, and urban planning. Her work examines how algorithms impact society, particularly in sensitive domains like child protection systems. She investigates historical patterns of gender inequality in scientific careers across countries and disciplines, and studies urban infrastructure networks such as bicycle systems. Her approach combines large-scale data analysis with theoretical modeling to address questions at the intersection of technology and society. Publication Trends Her recent publications demonstrate a growing focus on the societal impacts of algorithms and AI systems. From analyzing gender inequality in scientific careers to examining fairness in decision support algorithms for child protection, her work bridges technical analysis with social implications. The 2020 paper on gender inequality has been particularly influential with over 670 citations and significant policy impact, while her 2024 publications reflect increasing attention to real-world AI implementation challenges. Awards Årets Forskningsmiljø 2022 (Research Environment of the Year 2022) Research Funding and Leadership As principal investigator, Professor Sinatra leads multiple significant research projects including 'Pushing Algorithmic Fairness with Models and Experiments' funded by the Villum Foundation (2021-2024), 'Mechanistic Models for Fair Science' funded by the Independent Research Fund Denmark (2021), and 'AIPrevalence: Quantifying the Prevalence and Diffusion of Generative AI in Science' (2024-2026). Her research on algorithmic bias received 6 million DKK in funding, demonstrating strong institutional support for her work. Research Environment She is part of a vibrant research group at ITU that was recognized as the Research Environment of the Year in 2022. Her team includes collaborators like Michael Szell and Vedran Sekara, working at the intersection of data science, social science, and policy. Media coverage of their work has appeared in numerous Danish outlets, reaching policy makers and the general public.

• Building Automation
• Energy Management
• Query Optimization
• +۷ مورد دیگر

Paulo Carreira is an Associate Professor at Instituto Superior Técnico , Universidade de Lisboa. His research focuses on Building Automation , Energy Management , and Data Integration , with a particular emphasis on Smart Urban Environments and Cyber-Physical Systems . Fields: Building Automation, Energy Management, Data Privacy, Query Optimization, ETL, Streaming Query Processing Research Trends : His recent work spans from SQL Injection Attacks in LLM-integrated systems to Multi-Paradigm Modeling for Cyber-Physical Systems. Publications highlight his expertise in Energy Efficiency in buildings and BIM Integration with real-time data. Scientific Awards : Best Student Paper Award Nomination for Best Paper Award

Luigi Pintacudaمشاهده پروفایل

مدرس ارشد

• Urban Resilience
• Sustainable Urban Design
• GIS and Spatial Analysis
• +۵ مورد دیگر

Dr. Luigi Pintacuda serves as Head of Architecture and Design at the University of Hertfordshire's School of Creative Arts, where he leads the Architecture+ Research Group. A chartered architect (ARB RIBA) with over a decade of academic leadership experience, his work bridges urban-scale design, sustainable futures, and computational methodologies for resilient communities. His educational foundation includes: PhD in Architecture, IUAV - Istituto Universitario di Architettura di Venezia (2012) MArch+BA in Architecture, Università degli Studi di Palermo (2004) Pintacuda's research centers on urban resilience through design-driven approaches, specializing in GIS data integration, AI-assisted decision-making tools, and climate-adaptive regeneration of built environments. His work develops analytical frameworks for measuring community resilience while addressing Mediterranean urban contexts like Bucharest and Matera. Recent projects emphasize transformative pedagogy through summer schools that catalyze real-world urban interventions. Analysis of his 32+ research outputs reveals consistent focus on computational resilience measurement (50%), climate-adaptive urban tools (30%), and pedagogical innovation (20%). His 2023-2025 publications demonstrate accelerating integration of AI-driven platforms with traditional architectural practice, particularly in Italian urban contexts. As Principal Investigator, Pintacuda directs six major projects including Shaping Future Latina (2024-2025), Geraci Siculo: "Missione Futuro" (2024-2025), and PRISONERS OF ARCHITECTURE (2024). These initiatives feature: Summer school frameworks engaging Latinas communities Net-zero carbon assessment tools for urban areas Design workshops bridging museums and correctional facilities Collaborative partnerships with Italian city councils He leads the Architecture+ Research Group, fostering cross-disciplinary work on urban typology, resilient communities, and adaptive reuse strategies through international collaborations across Europe.

• Atmospheric Remote Sensing
• Atmospheric Physics
• Atmospheric Environment
• +۳ مورد دیگر

Dr. Li Ying is an Associate Professor and Doctoral Supervisor at the Department of Marine Science and Engineering, Southern University of Science and Technology (SUSTech), where she directs the Center for Marine Atmospheric Sciences. Her research focuses on atmospheric aerosol remote sensing , secondary pollution numerical modeling , and ocean-atmosphere interaction studies under climate change contexts. She holds a PhD in Atmospheric Environmental Science from the Hong Kong University of Science and Technology (2011), MSc in Atmospheric Science from Peking University (2006), and BSc in Physics from Bohai University (2002) with joint study at Tsinghua University. Her professional journey includes roles as Research Assistant Professor at HKUST (2015-2016) and Postdoctoral Fellow at HKUST (2011-2015), with visiting scholar experience at the University of Tennessee (2008-2009). Her research group develops satellite-based remote sensing algorithms for aerosol components (PM2.5, black carbon), studies ozone formation mechanisms in the Pearl River Delta, and creates novel emission control evaluation methods . She leads major projects including Shenzhen Smart City Atmospheric Monitoring and Guangdong-Hong Kong-Macao Air Quality Research Team . Scientific achievements include 60+ SCI publications in journals like Remote Sensing of Environment and Environmental Science & Technology Over 2,400 citations and H-index 24 Two ESI Highly Cited Papers Recipient of Shenzhen Overseas High-level C Talent (2017)

Jiuling Liمشاهده پروفایل

پژوهشگر ارشد

• Urban Water Management
• Automation Control
• Model Predictive Control
• +۹ مورد دیگر

Dr. Jiuling Li is a Research Fellow at the Australian Centre for Water and Environmental Biotechnology (ACWEB) within the Faculty of Engineering, Architecture and Information Technology at The University of Queensland. He received his Bachelor's degree in Automation from Harbin Institute of Technology, China, followed by a Master's (Research) of Engineering from the same institution, and completed his PhD at The University of Queensland in 2021. Dr. Li's educational background in automation engineering has uniquely positioned him at the intersection of environmental engineering and computer science. His multidisciplinary expertise bridges the gap between traditional water management practices and cutting-edge computational approaches, enabling innovative solutions to complex urban water challenges. His primary research focuses on urban water systems with specializations in real-time control, digital twins, smart monitoring, and real-time functional analysis. Dr. Li's work in model predictive control, real-time optimization, IoT sensor networks, and high-performance computing for sewer networks, water distribution systems, and wastewater treatment plants represents a convergence of environmental science and advanced computing. His vision for digital water management integrates cutting-edge data technology into the water industry while simultaneously advancing computing science through practical applications in water systems. Dr. Li's extensive publication record demonstrates significant contributions across environmental engineering and computer engineering disciplines. His research shows a clear trend toward increasingly sophisticated integration of artificial intelligence and machine learning techniques with traditional water management practices. Notable themes include the application of transformer networks, data-driven modeling, anomaly detection, and physics-informed learning to solve complex challenges in urban water infrastructure. Advance Queensland Industry Research Fellowship recipient for artificial intelligence-enabled sustainable protection of sewer infrastructures IWA Global Project Innovation Award (2024) winner for real-time control of chemical dosing in sewer networks Associate Editor of Water Research X Dr. Li actively supervises multiple PhD students across various water-related research topics including sewer corrosion, airflow modeling, groundwater interactions, wastewater-based epidemiology, and digital water management. His current research is supported by significant funding including the Advance Queensland Industry Research Fellowship (2025-2027) and ARC Linkage Projects (2024-2027) focused on artificial intelligence applications for sewer infrastructure protection and greenhouse gas emission reduction. His work is established through close collaboration with industry partners and professional organizations including IEEE and IWA. As part of the Australian Centre for Water and Environmental Biotechnology, Dr. Li contributes to a multidisciplinary research environment that combines engineering, environmental science, and computational approaches to address critical water challenges. His work on digital sewer systems represents a significant advancement in the application of real-time control and monitoring technologies to traditional water infrastructure.

Nan Baiمشاهده پروفایل

استادیار

• Computational Social Science
• Cultural Heritage
• Social Media Analysis
• +۴ مورد دیگر

Nan Bai is an Assistant Professor in the Heritage & Architecture section at Delft University of Technology's Faculty of Architecture and the Built Environment. His research integrates computational social science, architecture, and artificial intelligence to analyze heritage values in urban contexts, focusing on social perceptions derived from social media data. PhD in Heritage and Values from TU Delft Marie Sklodowska-Curie Early Stage Researcher in the HERILAND Project Research Interests : Computational social science, cultural heritage analytics, spatiotemporal modeling, and social media-driven urban planning. His work bridges architecture, AI, and big data to address heritage preservation challenges. Scientific Awards : Best Paper Award from CIPA 2023 Young CAADRIA Award 2020 External Roles : Active in committees like ICOMOS Nederland, CIPA Emerging Professionals, and CIPA Heritage Documentation. He has presented at international conferences and workshops on heritage and AI topics.

Mathias Deneckeمشاهده پروفایل

پژوهشگر

• Digital Cultures
• Media Studies
• Logistics
• +۴ مورد دیگر

Mathias Denecke is a Postdoctoral Researcher at the Institute for Media Studies at Ruhr University Bochum since March 2022 and an associated member of the Collaborative Research Center 'Virtual Lifeworlds' since February 2024. His academic trajectory includes doctoral research at Leuphana University Lüneburg's Centre for Digital Cultures (2014-2018) and prior work as a Research Associate on media streaming cultures at the University of Hamburg (2018-2022). His educational background features a completed doctorate in 2021 with the project 'Electricity metaphors in digital cultures,' an MA in Literature, Art and Media Studies from the University of Konstanz (2011-2014), and a BA in the same field with a minor in Political Science (2008-2011), including an Erasmus semester in Vilnius. Denecke's research centers on the intersection of digital cultures and material infrastructures, with particular focus on metaphors in theory formation, logistical systems, digitally mediated work, and age-appropriate assistance technologies. His work critically examines how conceptual frameworks like 'flow' and 'circulation' shape our understanding of digital phenomena while investigating the hidden labor within platform economies and care infrastructures. He approaches these topics through media theory, cultural studies, and political economy perspectives, often employing historical and comparative methods. His publications reveal a consistent trajectory exploring the metaphors that structure digital culture, evolving from early work on streaming and data flows to more recent investigations of logistical capitalism, care work in technical environments, and the material conditions of digital labor. Denecke frequently collaborates with other scholars while maintaining a distinctive focus on the epistemological dimensions of digital infrastructure and the social implications of emerging technologies. Denecke teaches courses including 'Data Bodies. People in Computing Environments,' 'Digital Media and Health,' 'Care Work' (at MA level), and 'Artificial Intelligence and Human Work' (at BA level), reflecting his research interests in the relationship between humans and computational systems. His teaching appears to integrate theoretical frameworks with contemporary case studies from platform economies and assistive technologies. As part of the Collaborative Research Center 'Virtual Lifeworlds,' Denecke contributes to interdisciplinary research examining the evolving relationship between digital technologies and human experience, particularly investigating how infrastructures shape everyday life and social relations in increasingly digitized environments.