جست‌وجوی استاد و پژوهشگر

Gemma Morganمشاهده پروفایل

مدرس ارشد

• Desistance
• Rehabilitation
• Digital Technology in Criminal Justice
• +۵ مورد دیگر

Dr. Gemma Morgan is a Senior Lecturer in Criminology, Sociology, and Social Policy at the Faculty of Humanities and Social Sciences , Swansea University. Her research focuses on desistance, digital technology in criminal justice, youth offending, evaluation methodology, and co-production. She collaborates with public, private, and third-sector organizations to bridge academia and practice. Key Research Areas: Desistance/rehabilitation, digital technology in criminal justice, youth justice, co-production, evaluation research. Notable Work: Lead inventor of the My Journey app for prisoner rehabilitation, co-produced with Legal Innovation Lab Wales and Include UK. Grants & Projects: Principal Investigator for Ministry of Justice and Welsh Government-funded initiatives, including piloting the My Journey app. Recent Publications: 2025 studies on digital justice accessibility, co-production principles, and therapeutic interventions in family abuse cases. Earlier works include evaluations of Welsh youth justice practices and frameworks for evidence-based policy. Scientific Awards: Swansea University’s Research & Innovation Rising Star (2022), Digital Leaders 100 Finalist (2021), EPSRC Digital Economy Crucible Alumna (2021). Supervision: Advises PhD students on topics like political impacts on desistance, probation principles in Wales, and elder care well-being.

• Software Engineering
• Web Engineering
• Edge Computing
• +۷ مورد دیگر

Kari Systä is a Professor of Software Engineering at Tampere University's Faculty of Information Technology and Communication Sciences. His career spans academia and industry, including 16 years at Nokia Corporation and current leadership in software engineering research. He teaches courses like Continuous Development and Deployment - DevOps and supervises Master's theses. Research Focus: Data-driven software engineering, web/cloud platforms, IoT architectures, energy systems software, and edge computing. Current Projects: LiquidAI (2023-2025) for IoT-Edge-Cloud ML systems; 6GSoft (2023-2026) for 6G software engineering; Microblock (2021-2023) on blockchain micro-credentials; and DELI (2023-2025) for energy research infrastructure. Research Unit: Leads work at TASE (Tampere Software Engineering Research Group). His expertise bridges software engineering theory and practice, with collaborations across Finnish universities and industry. He advocates for integrating AI/ML into software development workflows and optimizing energy systems through programmable edge-cloud solutions.

Stefano Modafferiمشاهده پروفایل

پژوهشگر ارشد

• Risk Modelling
• Data-Driven Business Models
• Enterprise Architectures
• +۳ مورد دیگر

Dr. Stefano Modafferi is a Principal Enterprise Fellow and Project Manager at the University of Southampton's Digital Health and Biomedical Engineering (DHBE) and IT Innovation Centre. He holds a PhD in Information Engineering from Politecnico di Milano and has extensive experience in research projects and industry collaboration since 2012. His expertise spans Process Management, Service Oriented Architecture, and Software Architecture. He coordinates and leads major EU-funded initiatives, including the GRAVITATE, ZDMP, and EFPF projects. Modafferi has over 20 scientific publications and is a Prince2 certified project manager. Education: PhD in Information Engineering, Politecnico di Milano Research Interests: Risk Modelling, Data-driven Business Models, Enterprise Architectures, Knowledge Management, and SME/Startup outreach. His work focuses on cybersecurity, digital manufacturing, and data-driven innovation. Active Projects: DS2 (Data Lifecycle Risks), FAITH (AI Trustworthiness), and DataPACT (Compliance in Data/AI Operations). Completed projects include EFPF, ZDMP, and Spyderisk. Grants & Funding: Involved in Horizon 2020 and EU-funded projects, emphasizing collaborative research in Industry 4.0 and digital transformation. Labs/Teams: Member of the DHBE Centre, IT Innovation, and the Centre for Internet of Things and Pervasive Systems.

Brynn Quickمشاهده پروفایل

پژوهشگر

• Sociolinguistics
• Historical Linguistics
• Anthropological Linguistics
• +۳ مورد دیگر

Brynn Quick is a PhD candidate at Macquarie University's Department of Linguistics, affiliated with the Faculty of Medicine, Health and Human Sciences. She holds multiple academic casual roles and focuses on sociolinguistics, healthcare communication, and historical linguistics. Her research explores language barriers in healthcare and digital communication dynamics. Education: Master of Research in Linguistics (Macquarie University, 2024) Master of Applied Linguistics & TESOL (Macquarie University, 2023) Graduate Certificate in TESOL (Macquarie University, 2020) Certificate IV in Training & Assessment (TAFE, 2018) Cambridge CELTA (2008) Bachelor of Arts in Theatre & Spanish (James Madison University, 2007) Research Interests: Brynn investigates sociolinguistic phenomena such as accent politics, language policy in multicultural settings, and historical shifts in English. She co-produces the Language on the Move Podcast , exploring linguistic diversity and its societal impacts. Research Trends: Her recent work (2023–2025) highlights digital linguistics' rise, AI in education, and sociopolitical aspects of language use. Collaborations with international scholars (e.g., Belgium, China) reflect her globally oriented approach. Grants & Advising: While no specific grants are listed, her systematic review on healthcare language barriers indicates active engagement in funded research. She advises through academic casual roles and podcast collaborations. Labs/Teams: Engaged with Macquarie's Linguistics Research Group and collaborates with interdisciplinary healthcare communication teams.

Richard Gomerمشاهده پروفایل

مدرس

• Human-Computer Interaction
• Agency-oriented Design
• Data Institutions
• +۴ مورد دیگر

Richard Gomer is a Lecturer in Computer Science at the University of Southampton, affiliated with the Web, AI and Society research group. He holds a BSc, MSc, and PhD in Computer Science from Southampton. His research focuses on Human-Computer Interaction (HCI), particularly how individuals and groups interact with large-scale systems and the role of values and agency in design. Education: BSc Computer Science (University of Southampton), MSc Web Science (via Web Science Doctoral Training Centre), PhD examining values in Privacy/Data Protection and Personal Fitness Devices. Research Interests: Human-Computer Interaction, Agency-oriented Design, Data Institutions, Consent & Privacy. His work explores topics like participatory budgeting, mobility systems, and ethical design in wearable technology. Recent projects include CivicMAGIC (mobility futures) and QROWD (human-AI collaboration in transportation data). Teaching: Leads COMP2213 (Interaction Design), COMP3227 (Web Architecture), and COMP6250 (Social Media & Network Science). Supervises PhD students in areas like Web Science and Politics. External Roles: Member of World Economic Forum Taskforce on Data Intermediaries (2020-2021), Councillor for Eastleigh Borough Council (West End North ward), and Chair of the Policy and Performance Scrutiny Panel. Labs/Teams: Active in the Web and Internet Science research group and the Agents, Interaction and Complexity cluster.

• Distributed Databases
• Object-Oriented Databases
• Internet Databases
• +۹ مورد دیگر

Erich Neuhold is a Professor of Computer Science at the University of Vienna and Darmstadt University of Technology. He holds honorary professorships at several institutions, including the University of Guiyang and the New Jersey Institute of Technology. His career spans over five decades, with roles as Director of the Fraunhofer Institute for Integrated Publication and Information Systems (IPSI) and professorships at multiple universities globally. Education: Erich Neuhold earned a Dipl.-Ing. (M.S.) in Electronics and a Dr.-techn. (PhD) in Mathematics and Computer Science from the Technical University of Vienna. He holds special honors in his academic career, including Fellowships from IEEE and the Gesellschaft für Informatik. Research Interests: His work focuses on distributed databases, object-oriented systems, internet databases, information retrieval, semantic web, interoperability, and applications in digital libraries, e-science, and e-government. He pioneered advancements in transaction models, multimedia databases, and semantic integration frameworks. Publications: Over 200 papers and four books, with recent contributions including retrospectives on computing history and foundational work in supercomputing architectures. His articles reflect deep engagement with historical and future trends in computer science. Awards: Recognitions include the Meritorious Service Award from IEEE, medals from academic institutions, and honorary professorships worldwide. Grants & Labs: Led projects like the POREL distributed database system and contributed to initiatives like the EU’s FRESCO e-science cockpit. His work spans academic-industrial collaborations, with budget leadership at IPSI (€10M/year). Labs/Teams: Co-founded the Fraunhofer IPSI and directed research teams in Austria, Germany, and internationally, emphasizing interdisciplinary collaboration in information systems.

George Joukhadarمشاهده پروفایل

مدرس ارشد

• Educational Technology
• Digital Innovation
• Enterprise Systems
• +۳ مورد دیگر

Dr. George Joukhadar is a Senior Lecturer in the School of Information Systems and Technology Management at the UNSW Business School. He focuses on enhancing learning experiences through innovative pedagogical approaches, including the integration of Generative AI into classrooms. His research spans digital innovation, ESG reporting, public sector sustainability, and IT governance in enterprise systems. Key research interests include leveraging technology to address challenges in e-invoicing, digital transformation strategies, and governance frameworks for SOA (Service-Oriented Architecture). His work emphasizes practical applications and theoretical insights into organizational digitalization, sustainability practices, and public sector modernization. Publications highlight trends in digital innovation for public institutions, ESG compliance systems, and strategic IT governance. No specific awards are listed, but his contributions to educational technology and enterprise systems are notable. Teaching and supervision activities are central to his role, though no student names are provided. Office details: Room 2115, Quadrangle Building (E15), UNSW Sydney.

Jae-Yung Kwonمشاهده پروفایل

استادیار

• Person-centred care
• Patient-oriented research
• Patient-reported outcomes
• +۵ مورد دیگر

Dr. Jae-Yung Kwon is an Assistant Professor at the School of Nursing at the University of Victoria since 2021, with research affiliations at the Institute on Aging and Lifelong Health. As a registered nurse (RN) and PhD holder in Nursing from the University of British Columbia, his work focuses on person-centred care for individuals with progressive/life-threatening conditions, particularly cancer, through patient-oriented research and patient-reported outcomes (PROs). Education: PhD in Nursing (University of British Columbia), Postdoctoral training (Trinity Western University, BC Ministry of Health) Expertise: Social determinants of health, latent class analysis, personas, knowledge translation, mixed methods His research integrates journey mapping, data analytics, and empathy-driven design to contextualize PROs in clinical practice. Recent work includes digital QOL assessment systems in homecare, frailty analysis in cancer patients, and bias detection in health surveys. Supported by the BC SUPPORT Unit, he uses computational methods to translate complex findings into actionable insights. The 15 most recent publications reveal a focus on improving healthcare decision-making through PROs, with themes in oncology , geriatric care , health equity , and digital health tools . Methodologically, he employs latent class analysis , journey mapping , and persona development to address clinical challenges in life-limiting conditions. Dr. Kwon is currently accepting PhD students and emphasizes interdisciplinary collaboration. His work bridges nursing, biostatistics, and health policy, particularly in technology-enabled patient care and social determinants of health.

• Business Models
• Technological Progress
• Electrification
• +۳ مورد دیگر

Saeid Heshmatisafa is a Doctoral Researcher specializing in Business and Technology Management, focusing on innovative business models and technological progress. His research addresses electrification in industries like mining and construction machinery, decarbonization strategies, and the digital transformation of global API ecosystems. He explores strategic restructuring in heavy industries and the integration of product-service systems to enhance market adaptability. Key research themes include API-driven business models, leveraging case studies such as Amadeus' digital transformation, and analyzing safety protocols in human-robot collaboration using virtual reality. His work contributes to the UN Sustainable Development Goals, particularly in advancing sustainable industry practices and responsible consumption. Publications span topics from API monetization in Nordic industries to anticipating sustainability impacts in software development. Despite no explicitly stated awards or grants, his research demonstrates a commitment to bridging technological progress with real-world business challenges.

Milt Halemمشاهده پروفایل

استاد پژوهشی

• Computational Science
• Climate Modeling
• Machine Learning
• +۳ مورد دیگر

Milt Halem is a Research Professor in the Department of Computer Science and Electrical Engineering (CSEE) at the University of Maryland, Baltimore County (UMBC). With a career spanning nearly 70 years, he transitioned from NASA to UMBC in 2003, where he continues to contribute as a computational scientist focusing on leveraging advanced computing technologies—from historical vacuum tubes to modern AI—to address complex scientific challenges. His work integrates computational methods with environmental and climate science, emphasizing real-time validation, wildfire prediction, and digital twin systems. Research Interests: Halem’s research revolves around computational science, climate modeling, and AI-driven environmental analytics. He pioneers applications such as wildfire digital twins, machine learning for weather forecasting, and planetary boundary layer estimation. His interdisciplinary approach bridges machine learning, atmospheric science, and geospatial analysis to tackle global challenges like deforestation impacts and air quality forecasting. Collaborations & Mentoring: Halem has fostered partnerships with government agencies and industry, securing research funding and equipment. He teaches a popular graduate course and has mentored over a dozen Ph.D. students, guiding their research in computational methods and environmental science. His work emphasizes the synergy between computational tools and real-world environmental problems, aiming to advance both theoretical understanding and practical solutions.

Victoria Degelerمشاهده پروفایل

استادیار

• Computer Science
• Artificial Intelligence
• Software Engineering
• +۴ مورد دیگر

Victoria Degeler is an Assistant Professor at the University of Groningen’s Faculty of Science and Engineering, affiliated with the Bernoulli Institute. Her research focuses on AI-driven solutions for complex systems, combining expertise in artificial intelligence, software engineering, and service-oriented computing. She actively contributes to EU Horizon initiatives through her role in evaluating projects for the EC REA and EASME. Her work emphasizes real-world applications such as digital twins for infrastructure optimization, machine learning for IoT systems, and adaptive service architectures. Her research interests span digital twins in water distribution networks, quality-aware IoT processing, and machine learning methodologies. Notable projects include developing self-adaptive service selection frameworks and analyzing human activity recognition biases. She collaborates widely, evidenced by co-authored publications in top-tier conferences and journals.

Fazilat Hojaji Najafabadiمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Telemetry Data Analysis
• +۵ مورد دیگر

Fazilat Hojaji Najafabadi is an Associate Professor in the Department of Computer Science & Information Systems, affiliated with Lero – the SFI Research Centre for Software. Their research focuses on AI-driven analytics in gaming and simulated racing, machine learning applications, and software governance frameworks. Formerly a Senior Software Analysis & Design Leader at ICT Organization of Isfahan Municipality (2018–2020), they hold a PhD in Software Engineering from the University of Isfahan, alongside a Master’s in Information Technology and Management from Amirkabir University of Technology and a Bachelor’s in Computer Science from Isfahan University of Technology. Research Interests: Machine learning for driver behavior analysis, telemetry data modeling, esports performance prediction, and governance frameworks for service-oriented architectures. Their work combines theoretical models with practical applications in software engineering and automotive simulations. Publications: Recent contributions include studies on AI techniques for esports KPI identification, sim racing performance prediction via telemetry, and frameworks for optimizing model-driven systems. Their work bridges machine learning with real-world applications in gaming and automotive domains. Labs/Teams: Active member of Lero, Ireland’s national software research center, contributing to interdisciplinary projects in AI and software engineering.

Miguel L. Pardalمشاهده پروفایل

استادیار

• Distributed Systems
• Cybersecurity
• Internet of Things
• +۲ مورد دیگر

Miguel L. Pardal is an Assistant Professor at Instituto Superior Técnico, Universidade de Lisboa, and a researcher at INESC-ID's Distributed Systems Group (GSD). His work focuses on Cybersecurity, Distributed Systems, Internet of Things (IoT), and Cloud Computing. He has led projects like the EU-funded Safe Cloud initiative and contributed to intrusion recovery systems (e.g., MIRES, μVerum) and blockchain-based solutions (e.g., ChainGuard, EvoChain). His research addresses challenges in secure communication, resilient distributed architectures, and location-based systems. Since 2002, he has taught courses on Network Security, Distributed Systems, and Operating Systems. His projects often intersect academia and industry, emphasizing practical applications in critical infrastructure and smart technologies. Collaborations include developing systems for vehicle-pedestrian safety (SafeWalk) and decentralized identity management. He has authored over 30 publications, with recent work covering blockchain resilience, intrusion detection in industrial processes (IM-DISCO), and generative AI for distributed algorithms. His contributions span academic conferences (DSN, EuroSys) and journals (IEEE Transactions).

• Artificial Intelligence
• Machine Learning
• Edge Computing
• +۴ مورد دیگر

Sergio Moreschini is a Postdoctoral Researcher in Computing Sciences, focusing on Artificial Intelligence, Edge Computing, and MLOps. His research explores the integration of AI techniques in microservices, cloud-edge continuum systems, and distributed home automation frameworks. He has contributed to foundational studies such as a Systematic Mapping Study on AI in Microservices Life-Cycle and developed frameworks like Flexconnect for mobile computational offloading. Education: He holds a Bachelor of Science in Technology (2012) and a Higher-Degree in Computing from Università Degli Studi Roma Tre (2016). His work aligns with UN Sustainable Development Goal 4 (Quality Education) through contributions to educational tools and methodologies. Research Interests : Moreschini investigates AI lifecycle management, edge-cloud system orchestration, vulnerability analysis in open-source components, and generative AI applications in software architecture. Key areas include fault-tolerant distributed systems, cognitive cloud continuum frameworks, and MLOps tool ecosystems. Recent Trends in Publications : Recent work emphasizes MLOps adoption challenges, self-organizing edge computing for visual SLAM, and best practices in resource provisioning for cognitive systems. He has explored trade-offs between continuous training and transfer learning in edge environments, and evaluated vulnerability severity metrics in open-source software. Awards : Won the Best Paper Award in 2022 for contributions to industrial edge service scheduling. Data Contributions : Co-created datasets like RARE (cloud-native memory anomalies) and CIVIT (integral microscopy recordings). His collaborative projects include the 6GSoft initiative for edge-cloud continuum systems and the OSSARA tool for open-source component risk assessment. Active in international conferences like IoT and SEAA, he bridges academic research with industrial applications in edge computing and AI infrastructure.

• Data Protection
• General Data Protection Regulation (GDPR)
• Public Law
• +۷ مورد دیگر

Maria da Graça Almeida de Eça do Canto Moniz Adão da is an Associate Professor at the Faculty of Law of Lusófona University of Lisbon and holds a Google Chair at NOVA University Lisbon, reflecting her dual academic engagement in legal scholarship and digital policy. She is actively involved in research and policy development related to data protection and EU law. PhD in Public Law, 2019, specialization in Personal Data Protection MBA, INSEAD, 2022 Visiting Researcher, Georgetown University (2016), Tilburg University (2017) Her research focuses on data protection, the General Data Protection Regulation (GDPR), fundamental rights, and digital governance. She explores topics such as DPIAs, supervisory authorities, international data transfers, and the intersection of AI with privacy rights. Her work combines doctrinal legal analysis with policy-oriented insights, contributing to both academic discourse and practical implementation. The recent publications highlight a consistent focus on data protection law, with increasing attention to emerging challenges such as AI, cloud computing, and the EU data strategy. Her works span academic articles, practical manuals, and case studies, demonstrating a commitment to both scholarly rigor and real-world applicability. Scientific Awards: European Award António Sousa Franco (2015) She is currently a researcher in the Data.PT: European Union Data Strategy in Portugal project (2024–2027), funded by Erasmus+, and contributes to public discourse through media engagements. As CEO of FUTURA, she bridges academic research with innovation and executive leadership. No information is available regarding student advising or specific departmental affiliation beyond the Faculty of Law. She is affiliated with the CEAD - Francisco Suárez Center for Advanced Studies in Law, which supports advanced legal research and academic collaboration in law.