جست‌وجوی استاد و پژوهشگر

• Educational Technologies
• Communication and Educational Technologies
• Teacher Training
• +۷ مورد دیگر

Ana Maria Bastos is an Assistant Professor in the Department of Education and Psychology at the School of Humanities and Social Sciences, University of Trás-os-Montes and Alto Douro (UTAD), Portugal. She is also affiliated with the CIIE (Centre for Research and Innovation in Educational Development) at the Faculty of Psychology and Educational Sciences, University of Porto. Her work bridges academic research and practical educational innovation. PhD in Educational Sciences, UTAD Master's in Education/Educational Technologies, University of Minho Her research focuses on Educational Technologies , Teacher Training for Basic Education , and Pedagogical Project Development . She explores how digital tools like blogs, Web 2.0 platforms, and programming environments (e.g., Scratch) enhance teaching and learning. Her work emphasizes formative assessment, supervised teaching practice, and curriculum articulation between pre-school and primary education. Her recent publications (2020–2023) reflect a strong interest in distance education during the pandemic , social media’s role in student behavior , and the integration of digital platforms in language and science education . The articles show a consistent focus on practical implementation, teacher training, and student engagement in diverse educational contexts. She is a peer reviewer for several academic journals, including the Portuguese Journal of Education and the Journal of AISTI, and is a member of the research unit Professor Faz a Diferença (Registration no. 3348/2013). She has contributed to national and international projects such as the ERASMUS+ TeachersMOD project, aimed at modernizing teacher training in Kurdistan, and the Step by Step with Science initiative funded by Ciência Viva. An active researcher, she has published extensively in journals, books, and conferences, with a career spanning over two decades. Her work demonstrates a sustained commitment to improving educational quality through technology integration and reflective teaching practices.

Hooman Samaniمشاهده پروفایل

دانشیار

• Creative Robotics
• AI-Driven Social Service Robotics
• Cognitive Robotics
• +۳ مورد دیگر

Hooman Samani is a Reader and Course Leader of Creative Robotics at the University of the Arts London's Creative Computing Institute, and a Visiting Lecturer at the University of Hertfordshire. He holds a PhD in Robotics from the National University of Singapore and is a Fellow of the Higher Education Academy (FHEA). His research spans AI-driven social robotics, creative robotics, and robotics for healthcare, with notable contributions to ethical AI, human-robot interaction, and pandemic response systems. He has led projects at institutions like Philips, Fraunhofer, and the Keio-NUS CUTE Centre. Education: PhD in Robotics (National University of Singapore), prior roles at National Taipei University (founding AIART Lab), and industry experience at Posco and Philips. Research Interests: Focus on interdisciplinary applications of robotics, including cognitive robotics, cultural robotics, and AI in mental health. He advocates for ethical design, emphasizing trustworthiness and societal impact. Publications: Over 98 articles, books like Creative Robotics and Robotics for Pandemics . Recent trends include memory-driven AI, agentic systems, and ethical multi-robot collaboration. Awards: FHEA, multiple RoboCup competition wins. Active in media, featured on BBC, CNN, and Discovery Channel. Labs/Teams: Founded AIART Lab, involved in collaborative projects with Keio-NUS CUTE Centre. Current focus on creative robotics in theater and education.

Tobias Kaufmannمشاهده پروفایل

استاد

• Neurotechnology
• Computational Psychiatry
• Genetics
• +۳ مورد دیگر

Tobias Kaufmann is a Full Professor of Neurotechnology and Computational Psychiatry at the University of Tübingen, Germany, and a Senior Researcher at the Norwegian Centre for Mental Disorders Research (NORMENT) at the University of Oslo, Norway. His research focuses on investigating the pathophysiological changes in brain structure and function, particularly exploring their genetic underpinnings through computational analysis of large-scale neuroimaging and genetic datasets. He has contributed to understanding the genetic architecture of brain regions like the thalamus and brainstem, their roles in psychiatric and neurological disorders, and the development of neuroimaging tools such as ARTiiFACT for artifact processing. His work bridges neurotechnology, computational methods, and clinical psychiatry to advance precision medicine approaches in mental health. His research interests include neuroimaging genetics, brain aging, and the application of machine learning to neuroimaging data. He has developed software tools for analyzing brain connectivity and functional networks, with a focus on schizophrenia, Alzheimer’s disease, and other psychiatric disorders. Kaufmann is also involved in collaborative initiatives like the ECNP NeuroImaging Network to promote open science and data-sharing in mental health research. His lab at NORMENT focuses on integrating multimodal data (e.g., MRI, genetics) to study brain disorders, while his role at the University of Tübingen emphasizes advancing neurotechnological methods. He has no listed awards but has published extensively in top journals like Nature Neuroscience and NeuroImage, with a strong emphasis on computational psychiatry and neuroimaging methodologies.

• Autonomous Systems
• Artificial Intelligence
• Computer Vision
• +۷ مورد دیگر

Dr. Yang Xing is a Senior Lecturer in Applied Artificial Intelligence for Engineering at Cranfield University's Centre for Autonomous and Cyberphysical Systems, where he also directs the HUMAX Lab focused on human-centered autonomous vehicle validation. He holds a PhD from Cranfield University (2018) and an MSc with Distinction in Control Systems from the University of Sheffield (2014). Previously, he was a Research Associate at the University of Oxford (2020-2021) and Research Fellow at Nanyang Technological University (2019-2020). His research centers on human-autonomy collaboration frameworks with four key pillars: Cognitive autonomous systems using trustworthy AI Computer vision for human behavior/intention modeling Multimodal foundation models for autonomous driving Deep learning for sustainable transportation systems His recent publications (2022-2025) demonstrate strong trends in AI-driven transportation research : 40% focus on trajectory prediction and behavior modeling, 30% on computer vision applications, 20% on human-AI collaboration frameworks, and 10% on energy optimization. Key thematic evolutions include increased use of transformer architectures, graph neural networks for interaction modeling, and simulation-to-real transfer learning. Awards and Honors: IEEE Outstanding Associate Editor Award (TNNLS 2023-2024) Best Paper Award, China National Intelligence Technology Conference 2019 IEEE Outstanding Service Award, Smart World Congress 2023 Best Workshop Paper, IEEE IV 2018 He currently advises PhD student Isa Ismail and has secured funding from the Royal Society, EPSRC, DSTL, SAAB, QinetiQ, and Thales. As lab director of HUMAX, he leads projects on human-AI teaming for autonomous systems.

• Transport Policy
• Road Safety
• Traffic Psychology
• +۵ مورد دیگر

Professor Wafaa Saleh is affiliated with Edinburgh Napier University , where she contributes to the School of Computing Engineering and the Built Environment . Her research spans Transport Policy , Pedestrian Safety , and Travel Demand Management , with a focus on sustainable mobility and behavioral impacts of technology on road safety. Research Interests : Transportation sustainability, pedestrian behavior at junctions, motorcycle emissions, congestion pricing, and AI applications in transportation. Advisees : Supervised students in studies involving road safety in Qatar, bus passenger discomfort analysis, and mode choice modeling using behavioral theories. Grants & Projects include funding from the European Commission for gender inclusion in transport systems, the Qatar National Research Fund , and Tabuk University for Saudi Arabian transport behavior studies. Key publications address helmet compliance , pedestrian red-light violations , and congestion charging impacts . Collaborations span institutions in Taiwan, Saudi Arabia, and the UK, with work featured in journals like Transportation Research Part A and Accident Analysis and Prevention . Her Transport Research Innovation Centre involvement highlights interdisciplinary approaches to road safety and emissions reduction.

Ben Matthewsمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Participatory Design
• Healthcare Technology
• +۵ مورد دیگر

Associate Professor Ben Matthews is affiliated with The University of Queensland (UQ), holding positions in the School of Electrical Engineering and Computer Science (Faculty of Engineering, Architecture and Information Technology) and as an Affiliate of the Centre for Communication and Social Change (Faculty of Humanities, Arts and Social Sciences). He leads research in design processes focusing on collaborative and participatory methodologies, with expertise in healthcare technology, educational tools, and community resilience. Education: BEng (Hons) and PhD from UQ. His research spans three core domains: designing advocacy for marginalized groups, participatory design materials, and augmenting professional expertise through technology. Key projects include designing for mental health stakeholders, wearable displays in healthcare, and bushfire resilience frameworks. Research Interests: Interaction design, participatory design, technology ethics, and human-centered innovation. His work emphasizes inclusive design processes that amplify user agency in technology development. Recent studies include VR analytics for mental health, energy use transparency, and emergency medical AR systems. Grants: Current funding includes ARC projects on AI-driven recruitment and trauma patient pathways. Past grants involve wearable tech for high-tempo work and passport processing research. Over 100 publications span journals like International Journal of Human-Computer Studies and conferences such as OzChi. Advising: Supervises PhD candidates on topics ranging from augmented reality in education to language learning applications. Collaborates with interdisciplinary teams across healthcare, education, and urban planning.

• Data Analytics
• Critical Infrastructure Management
• Cybersecurity
• +۳ مورد دیگر

Panos Melas is a Researcher and Engineer at the IT Innovation Centre within the School of Electronics and Computer Science at the University of Southampton. He holds a PhD in Computer Science (High Performance Computing) from the same institution (2000). His work focuses on data analytics, cybersecurity, critical infrastructure resilience, and urban safety. He contributes to projects like SPYDERISK, addressing privacy risks in distributed systems and decision-support frameworks for infrastructure management. Research interests include risk management in adaptive ICT systems, crime data analysis for urban safety, and grid infrastructure interoperability. His expertise spans technical leadership in interdisciplinary teams, with publications in conferences and reports on topics such as system trustworthiness and human perception of safety.

• Semantic Web and Ontology Engineering
• Agent-Based Modeling
• Knowledge Graphs
• +۴ مورد دیگر

Giovanna Di Marzo Serugendo is a researcher affiliated with the University of Geneva (Faculty of Social Sciences, Centre for Informatics) and the Institute of Information Service Science (ISS) . Her work spans semantic technologies, agent-based modeling, and sustainable systems. Research interests focus on Semantic knowledge graphs for regulatory compliance Ontology-driven resource management Self-organizing systems inspired by biological models AI applications in smart grids and urban mobility Digital agriculture platforms for smallholder farmers Recent publications highlight trends in ontology automation using LLMs, agent-based simulations for urban planning, and KG-enhanced compliance frameworks . She leads projects integrating digital twins with smart energy systems and develops bio-inspired coordination paradigms. Supervised works include 17 research projects in these domains. Current technical reports and conference papers explore cybersecurity-safety interdependencies in autonomous vehicles and decentralized event source detection in sensor networks.

• Affective Computing
• Emotion Recognition
• Brain-Computer Interfaces
• +۳ مورد دیگر

Guillaume Chanel is a researcher at the University of Geneva, affiliated with the Department of Computer Science under the Faculty of Sciences, and the Centre interfacultaire en sciences affectives. His work spans affective computing, emotion recognition, and physiological signal analysis in human-computer interaction contexts. Affective Computing Emotion Recognition Brain-Computer Interfaces Multimodal Interaction Physiological Computing Human-Computer Interaction Chanel's research focuses on integrating physiological signals (e.g., EEG, electrodermal activity) with computational models to enhance emotion detection and adaptive systems. Recent work includes attention mechanisms in U-Net for medical imaging, variational autoencoders for PPG denoising, and biofeedback-driven gaming systems. His publications emphasize multimodal fusion, transfer learning, and latent representation techniques. His 15 most recent articles (2025–2020) analyze advanced deep learning architectures for emotion and impression recognition, physiological signal processing, and adaptive game design. Key themes include attention mechanisms, variational autoencoders, multimodal synchronization, and biofeedback applications. Chanel collaborates with the Computer Vision and Multimedia Laboratory and the Centre universitaire d'informatique, contributing to open datasets and tools like the Toolbox for Emotional feAture extraction from Physiological signals (TEAP).

Sharib Aliمشاهده پروفایل

استادیار

• Biomedical Image Analysis
• Computer Vision
• Machine Learning
• +۱۲ مورد دیگر

Dr. Sharib Ali is a Lecturer (Assistant Professor) in the School of Computer Science at the University of Leeds, Faculty of Engineering and Physical Sciences. He is affiliated with the Leeds Cancer Research Centre and actively contributes to research in biomedical image analysis and computer vision. His work bridges cutting-edge AI with clinical applications, particularly in endoscopy and surgical technologies. PhD in Medical Image Analysis, University of Lorraine, France MSc in Computer Vision (by research), University of Burgundy, France Dr. Ali's research focuses on biomedical image analysis , computer vision , and machine learning , with applications in early cancer detection , computational endoscopy , and 3D reconstruction . He develops robust algorithms for segmentation, registration, depth estimation, and mosaicking, using both classical mathematical models and deep learning. His work emphasizes translational research and generalisability in real-world clinical settings. The recent publications highlight a strong trend in generalisability assessment , multi-modal data fusion , and AI benchmarking in endoscopy. His work spans from foundational algorithm development to clinical deployment, including federated learning , mixed reality in surgery , and multi-centre datasets , addressing key challenges like bias, data imbalance, and privacy. Dr. Ali has co-supervised multiple DPhil/PhD students and currently supervises several PhD candidates at the University of Leeds, University of Oxford, and Tec de Monterrey. He is actively involved in securing research funding and leading projects such as Leveraging multi-modality data for targeted biopsy and Federated learning in healthcare . He is a founding member of NAAMII, Nepal, where he volunteers to train students from LMICs. He also organizes international research initiatives including the EndoCV and P2ILF challenges at MICCAI, and serves on program committees and as a reviewer for journals like Nature Communications and Medical Image Analysis . His research is conducted within interdisciplinary teams, collaborating with clinicians from Oxford NHS University Hospitals, neuroscientists at Forschungszentrum Jülich, and engineers across Europe. He leads the development of open tools and datasets to advance the field of endoscopic computer vision.

Ashish Nandaمشاهده پروفایل

پژوهشگر ارشد

• Cybersecurity
• Authentication Technologies
• Digital Identity
• +۵ مورد دیگر

Ashish Nanda is a Research Fellow at the Deakin Cyber Research and Innovation Centre (Deakin Cyber) at Deakin University, Australia, where he contributes expertise to pioneering cybersecurity research. Prior to his current role, he served as a Research Fellow at the Centre for Cyber Resilience and Trust (CREST), Centre for Cyber Security Research and Innovation (CSRI), and the Deakin Blockchain Innovation Lab (DBIL). He has also enriched the academic community as a Lecturer at the University of Technology Sydney. Dr. Nanda's educational background includes: PhD in Computer Science from the University of Technology Sydney Bachelor of Technology in Computer Science & Engineering from Amity University, India His research spans cybersecurity, authentication technologies, digital identity, and usable security. Nanda has contributed to national projects funded by the Cyber Security CRC, focusing on multi-factor authentication, privacy-preserving digital credential wallets, and ambient intelligence-based continuous authentication systems. His work bridges technical security measures with human factors, emphasizing that security solutions must be both robust and user-friendly to achieve widespread adoption. This human-centered approach to security has become increasingly prominent in his recent publications. Dr. Nanda's publication trajectory shows a clear evolution from foundational network security protocols toward increasingly human-centered security approaches. While his earlier research focused on technical aspects of secure routing for wireless mesh networks and IoT infrastructure, his recent work emphasizes usable security, authentication devices, and digital identity systems. This shift reflects the growing recognition in cybersecurity that technical solutions alone are insufficient without considering human factors and user experience. Dr. Nanda has received significant research funding through: Cyber Security Cooperative Research Centre (CRC) Australia's Economic Accelerator program He actively contributes to public discourse through articles in The Conversation and interviews with major media outlets including SBS News, The Guardian, and The Feed. His research collaborations extend across multiple institutions with emphasis on practical applications addressing real-world cybersecurity challenges. Nanda has also co-founded Adroit Explorer Innovation Chambers, a not-for-profit organization dedicated to fostering innovation and exploration in technology.

Stavroula Karapapaمشاهده پروفایل

استاد

• Intellectual Property Law
• Copyright Law
• Digital Regulation
• +۵ مورد دیگر

Professor Stavroula Karapapa serves as Dean of Partnerships (Research) at Essex Law School, University of Essex, where she joined in 2020 as Professor of Intellectual Property and Information Law. Her academic leadership includes current role as Dean of Partnerships (2025-present), previous appointments as Acting Faculty Dean of Research for Arts & Humanities (2024 and 2023), Director of Research (2023-2024), and Director of Research for the School of Law (2022). Her academic qualifications include a PhD and LLM from Brunel University London, and an LLB from the National and Kapodistrian University of Athens. Prior to Essex, she held the Chair of Intellectual Property and Information Law at the University of Reading and was Deputy Director of the Intellectual Property, Internet and Media Research Centre at Brunel Law School. She is also a Greek-qualified Barrister (Athens Bar) and Senior Fellow of the Higher Education Academy. Professor Karapapa's research focuses on the legal challenges posed by digital technologies, particularly in intellectual property law. Her work examines copyright law in digital environments, legal regulation of networked systems, big data governance, and AI implications. She takes a distinctive socio-legal and comparative approach, often analyzing law at interdisciplinary intersections. Her scholarship addresses how information technology both shapes and is shaped by legal frameworks. Her publications reveal consistent expertise in copyright defenses, mass digitization, private copying, and emerging AI copyright issues. Major works include 'Defences to Copyright Infringement' (OUP, 2020), 'Copyright and Mass Digitization' (OUP, 2013), and 'Private Copying' (Routledge, 2012), along with her innovative textbook 'Intellectual Property Law' (OUP, 2019). Editor-in-Chief of European Trade Mark Reports (Sweet & Maxwell) Correspondent for Kluwer EU Copyright Cases Adjunct Professor at University of London (PGLaws) Visiting research fellow at Institute of Advanced Legal Studies (2020/21) Professor Karapapa actively supervises doctoral research, currently guiding Tahircan Yedek's PhD in Law. She has provided expert consultation to the UK Intellectual Property Office and European Commission on copyright law reform since 2012, with her work cited in UK Intellectual Property Office draft legislation, Opinions of the Advocate General, and official reports from the European Commission, Canadian Privacy Commissioner, and US Copyright Office.

• Analytical chemistry
• Nutritional metabolomics
• Clinical and biomedical metabolomics
• +۶ مورد دیگر

Dr. Armaghan Shafaei Darestani is a Lecturer at the School of Science, Edith Cowan University (ECU) , and a Research Fellow with the Centre of Integrative Metabolomics & Computational Biology . She previously held postdoctoral roles at the Norwegian University of Science and Technology (NTNU) and the University of Western Australia, focusing on metabolomics and proteomics method development. Research Areas : Analytical chemistry, Nutritional metabolomics, Clinical metabolomics, and Proteomics. Key Techniques : Liquid chromatography-mass spectrometry (LC-MS), HILIC-MS, HPTLC, GC-MS. Scientific Contributions include targeted metabolite assays for dietary intervention studies and deep phenotyping of biological models. She has contributed to understanding sulfur-containing compounds (e.g., S-methyl cysteine sulfoxide) in chronic disease prevention. Major Awards : 2018 - Endeavour Postdoctoral Fellowship (Australian Government) 2014 - Gold Medal at ITEX 2014 for anti-hypertension plant-based medicine PhD Research Fellowship (University of Science Malaysia) Grants and Projects : AU$210,909 (2025-2027): Forensic protein identification via human hair shaft proteomics. AU$243,343 (2023-2025): Metabolomics for Asthma Prediction 2 (MAP-2). AU$701,666 (2017-2023): Research Fellowship in Analytical Chemistry/Proteomics.

• Jurisprudence
• Legal Philosophy
• Human Rights
• +۶ مورد دیگر

Henrik Palmer Olsen is a Professor of Jurisprudence at the Faculty of Law, University of Copenhagen (UCPH), where he has been a central figure since earning his Cand.jur. in 1993. He is a co-founder and member of the Centre of Excellence for International Courts and Governance (iCourts), a leading research center in global legal studies. His academic leadership includes serving as Associate Dean for Research and Head of the PhD School at UCPH. Education: Dr.jur. (2005), Faculty of Law, University of Copenhagen PhD (1997), Faculty of Law, University of Copenhagen MA in Socio-Legal Studies (1994), University of Sheffield Cand.jur. (1993), Faculty of Law, University of Copenhagen Henrik Palmer Olsen's research lies at the intersection of legal philosophy, human rights, and international courts, with a growing emphasis on data science applied to legal analysis. His work explores the theoretical foundations of law, judicial legitimacy, and the methodological evolution of legal scholarship. He has pioneered the integration of quantitative methods—such as citation network analysis and corpus linguistics—into doctrinal legal studies, bridging traditional and computational approaches. His recent publications reflect a consistent trajectory in analyzing international courts, legal diplomacy, and legal methodology. Works like 'Can quantitative methods complement doctrinal legal studies?' and 'Providing Legal Pincite Recommendations using Language Representations' illustrate his innovative approach, combining jurisprudence with AI and data-driven legal research. This positions him at the forefront of the digital transformation in legal science. Scientific Engagement: Speaker, Regulating “AI” in the EU: The “Artificial Intelligence Act” (2021) Speaker, EURECO Distinguished Lecture Series (2010) Lecturer, Bristol Law School Annual Jurisprudence Lecture (2010) Olsen has held major research management roles, including co-founding the Center for Studies in Legal Culture and leading the PhD school at UCPH. He has secured recognition through extensive research output and collaborations across Europe. His work is referenced in academic databases, Mendeley, and multiple Wikipedia pages, indicating broad scholarly impact. He is actively involved in shaping legal education, particularly through his textbook on legal methodology. He is associated with research environments such as the Nordic Asylum Law & Data Lab and maintains strong international networks, especially in EU legal studies and global mobility law. His multilingual abilities (Danish, English, French) support his transnational academic engagement.

Douglas Eachoمشاهده پروفایل

استادیار

• Performance History
• Media Theory
• Digital Computation
• +۴ مورد دیگر

Douglas Eacho serves as an Assistant Professor at the Centre for Drama, Theatre and Performance Studies at the University of Toronto . He also holds the role of Assistant Director, Academic at the BMO Lab in Creative Research in the Arts, Performance, Emerging Technologies, and AI . With a PhD in Theatre and Performance Studies from Stanford University , his work bridges theatrical traditions with digital innovations. Research Interests His scholarship explores intersections between: Automation in live performance Digital computation and aesthetics Global capitalism's influence on art AI-generated cultural imaginaries Marxist performance theory Neoliberal economic systems in theatre Publication Trends Recent articles address algorithmic exhaustion ('Still Exhausted'), capitalist performance cycles ('Immediacy and Exchange'), AI staging experiments, and computational choreography. His work traces automation's lineage from surrealist practices to modern AI, analyzing its economic implications. Scientific Awards Centennial Award for Graduate Teaching (Stanford, 2019) Education PhD in Theatre and Performance Studies, Stanford University BA in Theatre Arts, Brown University Labs & Collaborations Co-leads the BMO Lab , focusing on creative research at the intersection of arts and artificial intelligence.