جست‌وجوی استاد و پژوهشگر

• Trustworthy AI
• Deep Learning Theory
• Decentralised Learning
• +۱۰ مورد دیگر

Fengxiang He is a Lecturer in AI Driven Business Informatics and Financial Computing at the School of Informatics, University of Edinburgh, where he is affiliated with the Artificial Intelligence and its Applications Institute. He also holds fellowships and affiliations with the Generative AI Laboratory, Institute for Adaptive and Neural Computation, Edinburgh Future Institute, and the Edinburgh Centre for Financial Innovations. Prior to Edinburgh, he was the Founding Lead of the Trustworthy AI project at JD.com, Inc. His research centers on trustworthy AI, with core interests in deep learning theory, decentralised learning, privacy and fairness in machine learning, symmetry in machine learning, and algorithmic game theory, with applications in economics and finance. He leads the Edinburgh Ventures for Intelligence and Economics and is actively involved in shaping ethical and robust AI systems. The recent publications highlight a strong trend in theoretical and applied machine learning, particularly in decentralised learning, trustworthy AI, game theory, and financial modeling. His work bridges deep learning theory with real-world applications, focusing on safety, privacy, fairness, and robustness. The articles span top venues including ICML, NeurIPS, ICLR, IEEE TPAMI, and ACM, reflecting high impact and interdisciplinary reach. Area Chair, ICML Area Chair, NeurIPS Area Chair, UAI Area Chair, AISTATS Area Chair, ECAI Area Chair, ACML Associate Editor, IEEE Transactions on Technology and Society Fengxiang He supervises multiple PhD and MScR students and is currently recruiting for postdoctoral researchers and fully funded PhD studentships through Centres for Doctoral Training in Machine Learning Systems, Designing Responsible NLP, and AI for Biomedical Innovation. He welcomes visitors and collaborators. His team includes PhD students Johnny MyungWon Lee, Kejiang Brian Qian, Saimun Habib, Qian Zuo, and MScR student Ye Wang, along with several interns and visiting researchers. He leads the Edinburgh Ventures for Intelligence and Economics and is a key member of the Generative AI Laboratory and other interdisciplinary research centers, fostering collaboration across AI, finance, and societal impact domains.

Valentin Robuمشاهده پروفایل

استاد

• Multi-agent Systems
• Distributed AI
• Smart Grids
• +۲ مورد دیگر

Valentin Robu is Professor in Artificial Intelligence for Smart, Decentralised Energy Systems at Eindhoven University of Technology's Department of Electrical Engineering, Electrical Energy Systems group. He maintains a concurrent position as Senior Researcher in the Intelligent and Autonomous Systems group at Centrum Wiskunde & Informatica (CWI), dedicating 20% of his time to TU Eindhoven. Robu's research focuses on multi-agent systems and distributed AI techniques to solve challenges in evolving electricity grids. This includes decentralized scheduling of electric vehicle charging, integrating renewable resources, and demand-side management techniques using game-theoretic models. His publications address key issues in sustainable energy systems, including ethical sourcing of materials for renewable technologies, blockchain applications for decentralized energy trading, and robotics/AI solutions for offshore energy infrastructure maintenance. UK Innovation of the Year Award 2019 Low Carbon Transport Award 2018 Robu collaborates with researchers globally on projects including the UK's National Research Centre for Energy Systems Integration and ORCA (Offshore Robotics for Certification of Assets Hub). His work explores circular economy models and blockchain solutions for fair energy trading.

• Medical Imaging Analysis
• Deep Learning
• Artificial Intelligence
• +۵ مورد دیگر

Dr. Laith Alzubaidi is a postdoctoral researcher at the School of Mechanical, Medical and Process Engineering , Queensland University of Technology (QUT) , Australia. He earned his Ph.D. in 2022 in medical imaging analysis with deep learning from QUT and a master’s degree in computer science from the University of Missouri (2016), USA. His research interests span medical imaging analysis , deep learning , artificial intelligence , and computational mechanics . He has contributed to advancements in bone fracture detection , skin cancer classification , IoT security frameworks , and physics-informed neural networks , with a focus on data fusion , adversarial attack detection , and real-time diagnostic systems . Dr. Alzubaidi has published over 53 refereed papers, garnered more than 3,700 citations, and led two special issues in reputed journals. His work involves global collaborations and grants for deep learning in medical applications . He reviews for 53+ journals, including IEEE Transactions on Medical Imaging and Information Fusion . Scientific Awards : Scholarship during master’s degree (University of Missouri) QUT scholarship for Ph.D. His recent publications highlight trends in AI-driven medical imaging , secure IoT networks , and physics-informed computational models . He has also explored trustworthy AI , reinforcement learning in healthcare , and explainable machine learning frameworks .

Ovokeroye Abafeمشاهده پروفایل

مدرس

• Environmental Chemistry
• Analytical Chemistry
• Contaminant Analysis
• +۴ مورد دیگر

Dr Ovokeroye Abafe is a Lecturer in Environmental Sciences at Brunel University London's College of Health, Medicine and Life Sciences. He holds a PhD in Chemistry from the University of KwaZulu-Natal (2015), an MSc in Chemistry from the University of Ibadan (2010), and a BSc in Industrial Chemistry from Delta State University (2006). His career spans roles as a Marie Curie Individual Fellow at the University of Birmingham and Senior Research Scientist at the Agricultural Research Council- Onderstepoort Veterinary Institute, where he managed South Africa's National Residue Monitoring Programme. Dr Abafe specializes in identifying emerging and legacy contaminants (e.g., PFAS, flame retardants) using advanced chromatography and mass spectrometry techniques. His research focuses on human exposure assessment via 3D organ models, biomonitoring of persistent pollutants, and environmental risk assessment of microplastics and pharmaceuticals. Recent publications highlight his work on PFAS in water matrices, dermal absorption of flame retardants in microplastics, antimicrobial resistance dynamics, and contaminant monitoring in food and biological tissues. His work combines analytical chemistry with public health implications. Y1-rating (NRF South Africa, 2021) Marie Curie Individual Fellowship As Division's Health and Safety officer, he leads modules on Planetary Health Case Studies and Research Field Work. He has supervised 3 PhD students to completion and contributes to international training programs for analytical methods and quality control systems.

• Science Communication
• Public Understanding of Science
• Science Policy
• +۷ مورد دیگر

Marta Entradas is an Assistant Professor at the Department of Sociology, Iscte - Lisbon University Institute, and a Visiting Scholar at the London School of Economics and Political Science (LSE). She is also an Integrated Researcher at CIES-Iscte - Center for Research and Studies in Sociology. Her work bridges sociology, science communication, and science policy, with a strong focus on institutional practices of public engagement. Assistant Professor, Department of Sociology, Iscte-IUL Integrated Researcher, CIES-Iscte Visiting Scholar, LSE (since 2014) Member, ISC Expert Panel on Public Value of Science Education: PhD in Science and Technology Studies (STS), University College London (UCL), 2011 Post-Doctorate, Psychological and Behavioral Sciences, LSE (Marie Curie Fellow, 2016–2018) Post-Doctorate, Science and Technology Studies, Cornell University (Fulbright Scholar, 2015–2016) Her research centers on science communication, public understanding of science, science policy, and institutional communication . She investigates how research universities and institutes communicate with the public, examining motivations, resources, and impacts. Her current work explores the 'arms race' for visibility versus scientific substance in institutional science communication. The analysis of her recent publications reveals a strong focus on cross-national comparative studies of research institutes' public communication, with empirical work spanning Europe, the Americas, and Asia. Key themes include professionalization, resource allocation, public engagement profiles, and the tension between public duty and institutional self-interest. Scientific Awards: European Young Researcher Award (EYRA) Laureate (Euroscience, 2016) Recognition in 'Women in Science' by Ciência Viva (2019) Research Leadership and Grants: Marta Entradas has led multiple high-impact international projects as Principal Investigator, including MORE-PE, OPEN, POIESIS, Blockchain.PT, and CoPaDiSC, funded by FCT, the European Commission, and national agencies. She has also served as Co-PI on the RadoNorm project. Her work involves extensive collaboration across Portugal, Italy, Germany, the UK, the USA, Brazil, Japan, and other countries. Labs and Research Teams: She is affiliated with CIES-Iscte, a leading social sciences research center, and collaborates with international teams on EU-funded and comparative projects, including those based at LSE, University of Hamburg, and Cornell University.

• Digital Economy
• Blockchain Technology
• Supply Chain Management
• +۶ مورد دیگر

Professor Glenn Parry is a Professor of Digital Transformation and Associate Dean (Research) at the University of Surrey's Faculty of Arts, Business & Social Sciences. He leads the DECaDE: EPSRC Centre for the Decentralised Digital Economy , a £4M UKRI/EPSRC initiative. His research focuses on digital economy dynamics, blockchain applications in supply chains, and transdisciplinary engineering solutions. He holds a PhD (Cantab), MSc, BSc, and Dipl. Psychotherapy, with expertise in organizational value creation and ethical business practices. Education: PhD (Cantab) MSc BSc Postgraduate Certificate in Education (PGCertEd) Research Interests: Blockchain adoption and decentralized systems Supply chain resilience and innovation Transdisciplinary engineering frameworks Value measurement and ethical business models Healthcare manufacturing and microfactories His work bridges theory and practice, partnering with governments and industries to address real-world challenges like post-Brexit border digitization and sustainable supply chains. Key Projects: EPSRC DECaDE: Decentralized Digital Economy research EPSRC OMMS: On-body manufacturing for leukemia therapeutics RAMONA: Resilient 3D-printing supply chains Trans-Disciplinary Design-Engineers project Publications: Over 50 peer-reviewed articles and books, including studies on blockchain success factors, servitization, and digital trade reform. Recent work emphasizes blockchain’s role in sustainability, healthcare, and supply chain visibility. Labs/Teams: Co-directs DECaDE, leading a multidisciplinary team of researchers and industry partners.

• Health Communication
• Genetic Counselling
• Sociolinguistics
• +۷ مورد دیگر

Megan Scott is a postdoctoral health communication researcher and genetic counsellor at the School of Human & Community Development, University of the Witwatersrand, Johannesburg, South Africa. She holds a PhD and multiple degrees from the same institution and currently serves as a Research Associate, engaging in interdisciplinary research at the intersection of genetics, communication, and public health. Research Interests: Her work focuses on understanding communicative processes in genetic counselling and broader health services, particularly in diverse and resource-constrained settings. Using sociolinguistic and qualitative interactional methods, she investigates how information is shared, understood, and acted upon by patients, providers, and communities. Key themes include non-directive communication, patient autonomy, risk perception, and ethical challenges in clinical research and care delivery. The recent publications reflect a strong trend toward interdisciplinary inquiry in health communication, bioethics, and global public health . Her work spans genetic counselling, vaccine trust, mHealth, and informed consent, often contextualized within South African communities. She frequently employs qualitative methodologies to uncover nuanced social and cultural dynamics in healthcare interactions. Scientific Contributions: Extensive research on ethical and communicative aspects of genetic counselling in diverse settings Investigations into vaccine trust among young community healthcare workers Development and evaluation of mobile mental health interventions for adolescents in LMICs Analysis of ethical dilemmas in video-recording health interactions Examination of decentralised TB care and communication challenges Advising and Grants: While no formal students or grant funding are explicitly mentioned in the profile, her role as a postdoctoral researcher and publication record suggest active involvement in research projects, likely involving mentorship and collaboration. She contributes to capacity-building initiatives such as the EACH Summer School for early-career researchers. Labs and Teams: Megan Scott appears to be embedded in research teams focused on health communication and ethics at the University of the Witwatersrand. She collaborates across disciplines, including public health, genetics, and social sciences, contributing to studies on clinical research ethics, patient engagement, and digital health solutions.

Graeme Hawkerمشاهده پروفایل

مدرس

• Energy Systems Analysis
• Multi-Carrier Energy Modelling
• Whole System Modelling
• +۱۲ مورد دیگر

Graeme Hawker is a Lecturer in Energy Systems at the University of Strathclyde, affiliated with the Department of Electronic and Electrical Engineering within the Faculty of Engineering. He is an active researcher with the UK Energy Research Centre (UKERC), contributing to national and local energy system analysis, particularly in the context of decarbonisation and multi-carrier energy networks. His work bridges technical modelling and policy engagement, with contributions to Scottish and UK energy strategies. His educational background includes a PhD in Electrical Engineering from the University of Strathclyde (2018), an MSc in Information Technology from the University of Glasgow (2003), a BA in Natural Sciences from the University of Cambridge (2002), and a BSc in Physical Sciences from the Open University (2013). He is a Chartered Scientist and Member of the Energy Institute. Graeme's research focuses on whole system energy modelling, multi-carrier networks (electricity, gas, hydrogen, heat), and the integration of renewable energy sources. He investigates low-carbon heating, energy storage, grid reliability, and machine learning applications for failure prediction. His work addresses critical challenges in achieving long-term carbon emissions targets through system-level analysis. The recent articles highlight a consistent focus on energy system flexibility, resilience, and integration. Topics include battery impacts on distribution networks, hydrogen's role in reducing renewable curtailment, and managing extreme weather effects on grids. These works reflect a strong emphasis on practical, policy-relevant research in the UK and Scottish contexts, with applications in smart grids, decarbonisation, and energy storage. Chartered Scientist Member of The Energy Institute Graeme Hawker has served as co-investigator and researcher on multiple funded projects, including EPSRC CDT in Future Power Networks, UKERC Phase 3, and the RESTLESS project on energy storage. He has contributed to policy outreach, including evidence submissions to the Scottish Parliament and UKERC responses on community energy. While no formal PhD students are listed, he is accepting PhD students and has supervised doctoral work as a supervisor on a completed thesis. He is involved in steering groups for sustainable heat transitions and collaborates widely across energy research networks. He is actively engaged in research teams within the UKERC and collaborates on projects related to resilient energy systems, smart grids, and sustainable heat. His GitHub profile indicates active software development for energy data analysis, including tools for GB energy data management and spectral analysis, reflecting a strong computational and data-driven research approach.

Sunita Abrahamمشاهده پروفایل

مدرس

• Decolonisation
• Race
• Colonialism
• +۱۹ مورد دیگر

Sunita Abraham is a Lecturer in Decolonisation (Teaching and Engagement) at the School of Global Affairs, Lancaster University . Her work bridges academia and grassroots development, focusing on systemic change in higher education through decolonising initiatives that connect staff, students, and communities. She teaches across the Politics, Philosophy and Religious Studies (PPR) department, the Lancaster Environment Centre (LEC), and the History department. Research Interests: Decolonisation, race, inequality, critical pedagogy, state-society relations, refugee studies, and historical links between Lancaster families and the transatlantic slave trade. Projects: Co-convening the Decolonising Lancaster University Network and the Lancaster University Sanctuary Network; Research Coordinator for the Slavery Family Trees Research Project. External Roles: Member of the East meets West Committee (supporting asylum seekers/refugees) and the Lancaster Black History Committee. Award: Recipient of the Lancaster and Partner Education Conference Award 2022.

• Choreography
• Dance
• Performance Art
• +۳ مورد دیگر

Elisa Zuppini is an Italian choreographer, dancer, and researcher based at the Amsterdam University of the Arts, specifically within the Academy of Theatre and Dance. She graduated from the School for New Dance Development (SNDO) in Amsterdam and operates at the intersection of dance and visual arts, developing innovative choreographic methodologies. Education: School for New Dance Development (SNDO), Amsterdam Her research explores performance and choreography as expanded frameworks for understanding movement. She created the kinetic technology De.sy.re. (Decentralised Systems of Relations), which examines the body as a decentralized system of forces and its connection to introspection and choreographic languages. Her work has been presented internationally in theatres, galleries, and festivals. Scientific Awards : Young Talent Choreography Award (OpenFLR, 2016) Danceweb Longlife Burning scholarship (Vienna, 2018) Zuppini has held residencies at prestigious institutions like CAMPUS (Porto), Heidelberg Choreographic Center, and Veem House for Performance. As an educator, she has contributed to institutions including the Antwerp Academy of Fine Arts, Rietveld Academy, and University of Pennsylvania.

• Surveillance Studies
• Chinese Politics
• Social Credit System
• +۳ مورد دیگر

Alexander Trauth-Goik serves as a post-doctoral researcher at the University of Vienna's Department of East Asian Studies, contributing to the European Research Council (ERC) project 'Engineering a Trustworthy Society: The Evolution, Perception and Impact of China’s Social Credit System' since September 2022. He additionally acts as a corresponding researcher for the China Data Analysis & Research Hub, focusing on empirical investigations of China's governance mechanisms. His educational background includes a PhD from the University of Wollongong's School of Humanities and Social Inquiry, where his doctoral thesis employed qualitative methodologies to analyze state and citizen interpretations of China's Social Credit System. While his BA (Hons) details remain unspecified in available records, his academic trajectory demonstrates consistent specialization in contemporary Chinese governance. Trauth-Goik's research critically examines China's surveillance infrastructure through three interconnected lenses: the implementation mechanics of the Social Credit System across rural-urban divides, digital censorship frameworks, and state-led civic education initiatives. His work reveals how propaganda mechanisms intersect with data-driven social control, particularly highlighting tensions between 'Civilized City' campaigns and formal social credit infrastructures. This scholarship challenges techno-deterministic narratives by emphasizing localized adaptations and citizen agency within authoritarian governance structures. His publication portfolio demonstrates evolving analytical depth, progressing from foundational studies on pandemic-era big data governance (2021) to nuanced examinations of social credit blacklists (2023) and reflexive methodologies for researching sensitive topics (2025). Key thematic trajectories include the weaponization of financial creditworthiness metrics, Han-centric surveillance evolution, and the paradoxical cultivation of compassion within commercial social media's attention economy. Through ERC-funded research and teaching courses like 'Surveillance, Socialisation, and Social Control in China,' Trauth-Goik bridges academic analysis with practical governance insights. His involvement with the China Data Analysis & Research Hub facilitates collaborative, data-driven investigations into China's rapidly evolving policy landscape, though no graduate student supervision is documented in current materials.

• Computer Vision
• Machine Learning
• Federated Learning
• +۳ مورد دیگر

Shitong Sun is a Visiting Professor at Queen Mary University of London's School of Electronic Engineering and Computer Science. She teaches a postgraduate module on Deep Learning and Computer Vision , focusing on emerging applications and methodologies in this field. Her research interests center around federated learning, zero-shot learning, and computer vision applications such as image retrieval and action recognition, with a particular emphasis on decentralized systems and semantic knowledge transfer. Her work explores advanced techniques in distributed machine learning frameworks, including federated learning architectures and cross-modal retrieval systems. Recent research highlights include contributions to robustness benchmarking in text-image retrieval and innovative approaches to skeleton-based action recognition using adaptive topology structures. While no scientific awards are listed, her research output demonstrates engagement with cutting-edge topics in artificial intelligence and computer vision. There is no mention of current advising roles or grants, though her teaching and research activities align with the School's focus on electronic engineering and computational sciences.

Ferdinando Samariaمشاهده پروفایل

مدرس

• Decentralised Finance
• Machine Learning
• Computer Vision
• +۳ مورد دیگر

Dr. Ferdinando Samaria is an Affiliated Lecturer at the Department of Computer Science and Technology, University of Cambridge. He holds a B.A. in Electrical and Information Science Engineering and a Ph.D. in Artificial Intelligence from Trinity College, University of Cambridge. His current research interests focus on decentralised finance, machine learning applications in finance, and smart software systems for the financial industry. His earlier work pioneered face recognition technologies using Hidden Markov Models (HMMs), contributing to biometric systems and computer vision advancements. Education: B.A. in Electrical and Information Science Engineering, Trinity College, University of Cambridge (1988) Ph.D. in Artificial Intelligence (Face Recognition), Trinity College, University of Cambridge (1994) Research Focus: Combines financial innovation with machine learning, exploring decentralized finance (DeFi) systems and intelligent software solutions. His foundational work in computer vision includes real-time gesture recognition, sensor systems (e.g., ORL active floor), and stochastic modeling for biometric identification. Teaching: Instructs the MPhil ACS, Part III course on "Digital Money and Decentralised Finance" at the University of Cambridge. Professional Experience: Spent over 20 years in investment banking roles, including founding Unicredit's investment bank in Milan and senior positions at Credit Suisse.

Antonella RANCANمشاهده پروفایل

استاد

• Macroeconomics
• Economic History
• Econometric Modelling
• +۳ مورد دیگر

Prof. Antonella RANCAN is a full professor in the Department of Economics at the University of Molise. Her research focuses on macroeconomics, economic history, and the development of macroeconometric models, particularly in the context of European and Italian economic policy. She has extensively studied historical economic frameworks like the EUROLINK model and the Federal Reserve Board’s models, analyzing their impacts on policy coordination and economic planning. Her work bridges theoretical contributions from scholars like Albert Ando and Franco Modigliani with empirical analyses of key economic debates, such as the diffusion of Keynesian ideas and the role of the Phillips curve. RANCAN’s publications emphasize the interplay between institutional contexts and economic methodology, contributing to our understanding of policy-making processes and historical economic systems. Her academic contributions include groundbreaking studies on the evolution of macroeconomic models in Europe, the integration of multi-country systems, and the challenges of economic planning in Italy. She has also explored the intellectual legacy of prominent economists, such as Modigliani’s influence on the Bank of Italy’s first macroeconometric model and the historical discourse on consumption functions and unemployment theories. RANCAN’s interdisciplinary approach combines quantitative analysis with historical research, offering critical insights into the development of economic thought and its application to real-world policy challenges. Though no scientific awards are explicitly mentioned, her prolific publication record reflects her impactful contributions to the field. Her advising and grants activities are not detailed in the provided texts, but her extensive research output suggests significant involvement in scholarly networks and institutional collaborations. RANCAN’s work is deeply rooted in the historical context of economic institutions, making her a leading voice in the history of economic thought and policy analysis.

• Rural Medicine
• Medical Education
• Indigenous Health
• +۳ مورد دیگر

Richard Murray is a Professor at the School of Medicine, James Cook University (JCU), specializing in rural medicine, medical education, and Indigenous health. His work focuses on addressing healthcare inequities in rural and remote areas, particularly for Aboriginal populations. He has contributed extensively to socially accountable medical education models, emphasizing the training of healthcare professionals for underserved regions. Dr. Murray has co-authored key publications on rural workforce development, Indigenous health policy, and clinical trials in remote settings. He played a pivotal role in JCU's decentralised medical training program, which has positively impacted rural healthcare workforce distribution. His research also explores health policy frameworks and interventions targeting smoking cessation and chronic disease management in Indigenous communities. Collaborative projects include partnerships with Aboriginal health services to improve healthcare access and outcomes. His research interests span medical education reform, health workforce planning, telemedicine applications in remote areas, and culturally competent healthcare delivery. Notable contributions include the textbook Aboriginal Primary Health Care: an evidence-based approach , addressing healthcare challenges faced by Indigenous Australians. Murray’s work bridges clinical practice, education, and policy to strengthen healthcare systems in rural and Indigenous contexts.