جست‌وجوی استاد و پژوهشگر

Marina Jirotkaمشاهده پروفایل

استاد

• Responsible Innovation
• Human-Computer Interaction
• Ethics in AI and Robotics
• +۱۷ مورد دیگر

Professor Marina Jirotka is a leading academic in Human-Centred Computing at the Department of Computer Science, University of Oxford, and a Governing Body Fellow at St Cross College. She directs the Responsible Technology Institute and leads interdisciplinary research on responsible innovation in AI, robotics, and digital systems. University: University of Oxford School: Department of Computer Science Position: Professor of Human-Centred Computing Leadership: Director, Responsible Technology Institute Fellowships: EPSRC Established Career Fellowship (RoboTIPS) Her research focuses on integrating ethical, societal, and human values into technology design. Key areas include responsible innovation, human-computer interaction, algorithmic accountability, and socio-technical systems. She explores trust, transparency, and governance in autonomous systems, digital mental health, and quantum computing ethics. Her recent publications reflect a strong trend in responsible robotics, explainable AI, digital wellbeing, and ethical governance. Articles emphasize interdisciplinary methods, stakeholder engagement, and practical tool development such as the Ethical Black Box and TrustScapes. Themes span autonomous vehicles, social robots, algorithmic bias, and sustainability in digital innovation. Excellence in Teaching Award, University of Oxford (2006) ESRC/SSRC Fellowship (2007) UCLA Scholar Award (2011) EPSRC Established Career Fellowship (2018, 2019) Vice Chancellor’s Innovation Award Highly Commended (2020) She supervises numerous PhD and Master’s students and leads major grants including RoboTIPS, RAILS, PARIS-DE, and Adolescent Mental Health in the Digital World. She co-directs ORBIT, a leading RRI training provider, and contributes to policy through advisory roles with the House of Lords, All-Party Parliamentary Groups, and industry consortia. She is a member of the IEEE P7000 working group and the UK Committee for IIASA. Her lab work involves interdisciplinary teams focused on responsible technology design, public engagement, and ethical tool development.

Radu Jianuمشاهده پروفایل

مدرس

• Data Visualisation
• Visual Analytics
• Human Computer Interaction
• +۷ مورد دیگر

Dr. Radu Jianu is a Lecturer in the Department of Computer Science at City, University of London , where he has been a faculty member since 2016. He is affiliated with the giCentre , a leading research group in information visualization. He earned his PhD and MSc in Computer Science from Brown University, USA, and a Diploma in Engineering from the Polytechnic University of Timisoara, Romania. His academic career includes a previous role as Assistant Professor at Florida International University (2012–2016). His research focuses on Data Visualisation, Visual Analytics, and Human-Computer Interaction . He conducts interdisciplinary collaborations with domains such as biology, food policy, and energy decarbonisation, aiming to develop interactive visual tools that enhance data understanding and decision-making. His methodological approach includes user studies, eye-tracking, and the design of novel visualization techniques. Dr. Jianu teaches Programming in Java and Cognition and Technologies , and he coordinates the Programming Bootcamp. He also holds administrative responsibilities as the Progression and Support Director in the Computer Science Department and is a member of its Executive Committee (ExCo). His recent publications reflect a growing interest in LLM-assisted visual analytics, gaze-aware systems, and collaborative human-AI analytical frameworks . He has published in top venues such as IEEE TVCG, CHI, EuroVis, and Nature Immunology, with several best paper awards. His work on the RAMPVIS project highlights his contributions to visualization in public health emergencies. Scientific Awards: Best Paper Award, Symposium on Graph Drawing (2018) Best Short Paper Award, EuroVis (2020) Advising and Grants: Dr. Jianu supervises multiple PhD and MSc students, including Dany Laksono (Energy Decarbonisation) and Maeve Hutchinson (NLP-mediated Visualization). His students have co-authored high-impact, award-winning papers. He has been involved in funded research initiatives such as RAMPVIS, which received support from UKRI/EPSRC for developing visual analytics infrastructure during the COVID-19 pandemic. Labs and Teams: He is an active member of the giCentre at City, University of London, a hub for visualization research. He also collaborates with interdisciplinary teams in epidemiology, immunology, and computer science, contributing to large-scale projects like the Immunological Genome Project and RAMPVIS.

Nour Aliمشاهده پروفایل

عضو هیئت علمی

• Software Architecture
• Distributed Systems
• Adaptive Systems
• +۶ مورد دیگر

Dr Nour Ali is a Reader in the Department of Computer Science at Brunel University London , where she co-heads the Brunel Software Engineering Lab and serves as Vice-Dean of Education for the College of Engineering, Design and Physical Sciences. She holds a PhD in Software Engineering from Universidad Politecnica de Valencia, Spain, and a Major in Computer Science from Bir-Zeit University, Palestine. Research Interests: Software architecture for distributed and adaptive systems, integrating techniques like Model-Driven Engineering, Reverse Engineering, and Machine Learning. Teaching: Module leader for Software Project Management and supervisor of undergraduate group projects and final-year projects. Scientific Contributions: Over 70 publications in journals, conferences, and books. Key research areas include microservice architecture recovery, autonomic healthcare systems, and mobile self-adaptive architecture. Scientific Awards: Fellow of the Higher Education Academy (HEA). Membership: Deputy Editor-in-Chief for IET Software, member of multiple conference program committees, and reviewer for EPSRC, NWO, and other funding bodies.

• Data Visualization
• Immersive Analytics
• Human-Computer Interaction
• +۳ مورد دیگر

Sarah Goodwin is an academic affiliated with Monash University in Australia, specializing in data visualization, immersive analytics, and human-computer interaction. She holds a PhD in Visualisation for Household Energy Analysis from City University London (2015). Her research focuses on developing innovative visualization techniques for complex data, particularly in energy systems, healthcare, and geographic information. Key contributions include the Australian Cancer Atlas project (2024), which addressed geostatistical uncertainty visualization, and work on mixed-reality technologies embedding human values (2025). She collaborates extensively with researchers like Tim Dwyer and leads the Data Visualisation and Immersive Analytics Research Lab at Monash. Her publications span journals like IEEE Transactions on Visualization and Computer Graphics and conferences such as CHI and IEEE VAST. Research highlights include gaze analytics tools (VETA), tangible immersive systems (Uplift), and energy consumption visualization frameworks.

• Environmental Psychology
• Pro-Environmental Behaviour
• Social Influence
• +۳ مورد دیگر

Dr Wokje Abrahamse is an Associate Professor at the School of Geography, Environment and Earth Sciences, Victoria University of Wellington. She holds a PhD and MSc from the University of Groningen, Netherlands, and specializes in environmental psychology, focusing on the human dimensions of environmental change. Education: PhD, University of Groningen, Netherlands MSc, University of Groningen, Netherlands Her research examines psychological barriers to environmentally friendly behaviours, including social norms, habits, and spill-over effects . She evaluates interventions like information campaigns, feedback systems, and commitment strategies to encourage energy conservation and sustainable transport. Her recent publications address climate misinformation, environmental education fieldtrips, and composite environmental indices. Current projects include "Social Influence and Behaviour Change" (2024-2026) and "Co-creating an Intervention Trial" (2023-2024). She supervises doctoral and masters students on topics ranging from climate anxiety to sustainable commuting.

• Multi-objective optimisation
• Evolutionary computation
• Explainable artificial intelligence
• +۴ مورد دیگر

Dr David Walker is a Senior Lecturer in Computer Science at the University of Exeter and a member of the Institute for Data Science and Artificial Intelligence . He also contributes to the Environmental Intelligence @Exeter research network. Education: PhD in Computer Science, University of Exeter (2008–2013) BSc (Hons) in Computer Science, University of Exeter (2004–2007) Research Interests Dr Walker’s work sits at the intersection of multi-objective optimisation , evolutionary computation , explainable AI and hyper-heuristics . He develops algorithms and visual analytics that help engineers and scientists understand complex optimisation landscapes, with recent emphasis on renewable-energy planning (especially offshore wind farms) and trustworthy AI systems. Publication Trends Between 2022 and 2025 he produced a prolific stream of articles on explainable optimisation , many-objective wind-farm design and visual analytics for evolutionary algorithms . These works combine rigorous algorithmic innovation with real-world case studies, demonstrating a clear trajectory toward transparent, human-centred AI for engineering decision-making. Scientific Awards No specific awards or fellowships are mentioned in the provided material. Advising & Funding No explicit list of PhD students, post-docs or grant awards is supplied. Laboratory & Teams Dr Walker is affiliated with the Institute for Data Science and Artificial Intelligence and the Environmental Intelligence @Exeter network, indicating collaborative, interdisciplinary research environments.

• Energy systems transitions
• Urban energy systems
• Rural electrification
• +۷ مورد دیگر

Erik Ahlgren is Professor of Energy Technology at Chalmers University of Technology, Sweden. His research centres on energy-system transitions across scales, integrating techno-economic and systems-dynamics modelling to address urban and rural energy challenges in both Nordic and East African contexts. Research focus Energy-system transitions connecting technology, economy and environment Urban energy systems and sector coupling Rural electrification and mini-grid planning in East Africa District heating and cooling futures Clean cooking with biogas He leads or co-leads 25 projects funded by the Swedish Energy Agency, Swedish Research Council (VR), SIDA, the EU and other bodies, and collaborates closely with Addis Ababa University, University of Rwanda and Eduardo Mondlane University. Teaching & outreach Responsible for the public digital evening course Climate – the science, measures and policy . Grants & projects Buildings in the integrated energy system (2024–2028, Swedish Energy Agency) A multiperspective analysis of cost-efficient batteries in rural mini-grids (2023–2026, VR) PhD Programme in Electrical Power and Control Engineering with Addis Ababa University (2018–2025, SIDA) BREEMRES – research training partnership programme (2018–2025, SIDA) Flexibility for Smart Urban Energy Systems (FlexSUS, 2019–2024) Collaborations & networks Active in international consortia including the Strategic Research Centre for 4th Generation District Heating (4DH), FutureGas, and numerous East African capacity-building initiatives.

• Software Performance Engineering
• Microservice Architectures
• Cyber-Physical Systems
• +۳ مورد دیگر

Catia Trubiani is a faculty member at the Gran Sasso Science Institute in L'Aquila, Italy, specializing in software performance engineering, architectural analysis, and cyber-physical systems. Her work bridges theoretical modeling with practical applications, focusing on performance antipatterns, uncertainty quantification, and DevOps practices. In research , she explores performance modeling of microservices, federated learning systems, and cyber-physical systems, with a strong emphasis on architectural decision-making under uncertainty. Her recent articles analyze performance regression testing, aging detection in networks, and anti-pattern correlation in distributed systems, reflecting her interest in robust, scalable software solutions. She collaborates extensively with researchers like Raffaela Mirandola , Alberto Avritzer , and Riccardo Pinciroli , contributing to tools and frameworks such as PLUS (Performance Learning for Uncertainty of Software) and VisArch (Visualisation of Performance-Based Architectural Refactorings). Her work has been published in journals including IEEE Transactions on Software Engineering and Future Generation Computer Systems , as well as conferences like ICSE, ECSA, and ICPE.

• Data Visualization
• Geographic Information Systems (GIS)
• Energy Consumption Analysis
• +۳ مورد دیگر

Sarah Goodwin is an academic affiliated with City, University of London, focusing on visualization techniques, geodemographics, and energy consumption analysis. Her work bridges computer science and geographic information systems (GIS), emphasizing user-centered design and collaborative methodologies. She holds a PhD in Visualisation for Household Energy Analysis from City University London (2015). Her research explores multivariate data visualization, particularly in energy-based geodemographic classifications and the impact of scale and geography on data interpretation. Notable contributions include frameworks for creative visualization workshops and topology-preserving map deformations for dissimilarity data. She has received the VAST 2012 Mini Challenge Award for Efficient Use of Visualization. Publications span journals like IEEE Transactions on Visualization and Computer Graphics, and she has presented at conferences such as IEEE VAST and GIS Research UK. Her work addresses energy consumption patterns, network health monitoring, and spatial data analysis. Current research emphasizes innovative visual methods for complex data exploration across scales and geographic contexts.

Dylan McConnellمشاهده پروفایل

پژوهشگر

• Renewable Energy
• Energy Systems
• Electricity Infrastructure
• +۴ مورد دیگر

Dylan McConnell is a renewable energy and energy systems researcher at UNSW Sydney , affiliated with the School of Photovoltaic and Renewable Energy Engineering . His work focuses on electricity infrastructure, governance, and the energy transition in liberalized electricity markets, with expertise in operations research and electricity system optimization. Research Interests: Electricity Market Restructuring Renewable Energy Integration Policy Analysis Grid Resilience Energy Transition Dynamics Publications highlight his work in energy policy journals and media outlets, including analyses of real-time renewable procurement, coal phase-out strategies, and climate-energy system interactions. His research spans interdisciplinary domains, connecting technical optimization with socio-economic implications. Email: dylan.mcconnell@unsw.edu.au

• Mobility Justice
• Climate Migration
• Political Geography
• +۱ مورد دیگر

Samid Suliman is Senior Lecturer at Griffith University's School of Humanities, Languages and Social Science. His research examines mobility justice, climate migration, border politics, and multispecies relationships. Director of Bachelor of Arts program. Research projects include 'Governing Climate Migration in Oceania' and 'Visualising hydro-social injustice in a changing climate'. Supervises doctoral candidates on climate migration, multispecies energy communities, and urban governance. Member of Griffith Centre for Social and Cultural Research.

• Human Geography
• Regional Geography
• Geographies of Health
• +۶ مورد دیگر

Prof. Dr. Judith Miggelbrink is the Director of the Leibniz Institute for Regional Geography and a Professor of Regional Geography at the University of Leipzig. Her career includes roles as a Professor of Human Geography at TU Dresden (2018–2024) and coordinator of the 'Raumproduktionen im Verhältnis von Staat und Gesellschaft' research group at the Institute (2010–2018). She holds a PhD from the University of Münster, where she studied Geography, Mathematics, Sociology, Administrative Science, and History (1985–1992). Her research focuses on Human Geography, Geographies of the Regional, Social Nature Relations, Visual Geographies, and Geographies of Health. Key projects include the Leibniz-Lab 'Umbrüche und Transformationen' and collaborative networks like TerraR (DFG-funded) and Visualising Qualitative Geographies. She has published extensively on topics ranging from organ transplantation systems to border security and sustainability in the textile industry. Miggelbrink is a member of the Saxon Academy of Sciences, the DFG-SFB 1199 steering committee, and the Akademie für Geographische Regionalforschung. Her work emphasizes interdisciplinary approaches, addressing global challenges through spatial analysis and critical methodologies.

• Information Visualization
• Software Systems
• Cybersecurity
• +۳ مورد دیگر

Bill Buchanan is a Professor at the School of Computing Engineering and the Built Environment, Edinburgh Napier University, and a member of the Centre for Algorithms, Visualisation and Evolving Systems. His work spans Information Visualization , Software Systems , Cybersecurity , and AI , focusing on innovative solutions for complex data challenges. Research Interests: Information visualization for hierarchical data, cybersecurity frameworks, machine learning in industrial IoT, and post-quantum cryptographic systems. Projects: Supervised PhD projects on visualizing overlapping classification hierarchies and biological network inference. Currently leads research in AI-driven human-robot interaction and secure Dockerized architectures. Publications: 15+ recent works on quantum agents, GANs for anomaly detection, homomorphic encryption, and advanced cryptographic techniques. Collaborations: Engages with biologists, AI researchers, and cybersecurity experts across institutions.

• Agent-based Modeling
• Evolutionary Game Theory
• Traffic Simulation
• +۵ مورد دیگر

Dr. Simon Powers is a Lecturer at the School of Computing Engineering and the Built Environment at Edinburgh Napier University, where he is affiliated with the Centre for Algorithms, Visualisation and Evolving Systems (CAVES). His research focuses on agent-based modeling, evolutionary game theory, and the application of these techniques to understand social behavior, traffic systems, and human-AI interactions. Dr. Powers' research interests span multiple interdisciplinary domains: Agent-based modeling and simulation of complex systems Evolutionary game theory applications to social behavior Trust dynamics in human-AI interactions Leadership and consensus decision-making in social organisms Reciprocity mechanisms across human societies Traffic simulation and individual travel behavior modeling Dr. Powers' publication record demonstrates consistent contributions to agent-based modeling, with recent work focusing on trust in AI systems, leadership dynamics, and traffic simulation. His research shows a strong interdisciplinary approach, bridging computer science, social sciences, and evolutionary theory. The articles reveal a pattern of increasingly sophisticated modeling techniques applied to complex social phenomena, with particular attention to how individual behaviors aggregate to produce emergent systemic properties. Notable scientific contributions and recognitions include: Appointment as Associate Editor for the journal Adaptive Behavior (2017) Keynote speaker at the Second International Workshop of Social Learning and Cultural Evolution (2017) Invitation to contribute to the Encyclopedia of Evolutionary Psychological Science (2016) Dr. Powers has supervised several PhD students, including Johannes Nguyen (2020-2024) and Cedric Perret (2016-2020), and has collaborated extensively with researchers in the Centre for Algorithms, Visualisation and Evolving Systems. His work often involves developing novel modeling frameworks and notations, such as the Multi-Agent Modelling Notation (MAMN), to better understand complex adaptive systems. His research has practical applications in traffic management, AI governance, and understanding social dynamics, with recent work examining how regulation alone cannot ensure justifiable trust in AI systems.

Sarah Goodwinمشاهده پروفایل

مدرس ارشد

• Geospatial Analysis
• Information Visualization
• Energy Data Visualization
• +۷ مورد دیگر

Dr. Sarah Goodwin is a Senior Lecturer at Monash University's Department of Human Centred Computing, specializing in geospatial analysis and information visualization. She leads the Embodied Visualisation research group and holds roles as Director of Engagement for Human-Centred Computing and co-Director of the Monash Grid Innovation Hub. Her work focuses on creating visual solutions for complex data, including energy grid analysis, cancer prevalence visualization, and urban data exploration. Dr. Goodwin has over 20 years of experience in academic and professional roles, collaborating globally with institutions like the giCentre (City University London) and RMIT University. Education: She holds a PhD in Geographical Information Science (City University London, 2015), MSc in Geographical Information Systems (City University London, 2007), and BSc (Honours) in Geography (University of Manchester, 2003). Research Interests: Geovisualization, energy data analytics, urban data visualization, HCI, and geostatistical modeling. She has developed tools like Gazealytics and led projects such as the Australian Cancer Atlas and the Australia's Discourse Explorer. Teaching: She teaches Data Exploration and Visualisation (FIT5147) and Research Methods at Monash, impacting over 1000 students annually. She has also taught at RMIT University. Grants & Awards: Recipient of the IEEE InfoVis Best Paper Honorable Mention (2016). Active in conferences like IEEE VIS (General Chair, 2023) and organizes workshops on EnergyVis and CityVis. Labs & Teams: Involved with the Immersive Analytics Lab and collaborates with Monash Energy Institute and Data Futures Institute. Her work aligns with UN SDGs on sustainable cities and energy systems.