جست‌وجوی استاد و پژوهشگر

Angelo Ciaramellaمشاهده پروفایل

مدرس

• People Attraction
• Talent Acquisition
• Human Resource Management
• +۵ مورد دیگر

Angelo Ciaramella serves as a lecturer and Competence Center Manager for the CAS FH in Strategic Talent Acquisition, while operating as Managing Director of ciaramella & partner GmbH and founder of the People Attraction Institute. His professional affiliations include board membership at the HR Association ZGP and advisory roles for HR Today, positioning him at the intersection of academic instruction and industry transformation in talent management. Ciaramella's research focuses on the strategic evolution of People Attraction beyond traditional HR frameworks, emphasizing data-driven competence centers, sales-oriented service divisions, and value-added consulting units. His work examines how changing market demands necessitate repositioning talent functions as strategic sparring partners and change agents, with particular attention to AI integration and organizational development in recruitment processes. This research bridges academic theory with practical implementation across insurance, banking, media, manufacturing, real estate, transportation, and IT sectors. His recent publications demonstrate a clear trajectory toward redefining talent acquisition as a revenue-generating strategic function rather than a transactional HR activity. The articles reveal consistent themes of operational transformation, technological integration (particularly AI), and the critical need for change agent skills among executives leading talent functions. Ciaramella consistently advocates for holistic people attraction models that function as value-adding strategic units rather than support services. Through ciaramella & partner GmbH, he operationalizes these concepts by running Switzerland's first CAS FH in Strategic Talent Acquisition, developing client recruitment processes to achieve state-of-the-art Holistic People Attraction Excellence. The consultancy's approach emphasizes agile solutions that transform people attraction into a strategic sparring partner, data-driven competence center, sales-oriented service division, value-added consulting unit, and change agent for executives – embodying the theoretical frameworks explored in his publications.

Maaike Harbersمشاهده پروفایل

استاد

• Artificial Intelligence
• Ethics of AI
• Design of Interactive Systems
• +۳ مورد دیگر

Maaike Harbers serves as Professor of Artificial Intelligence & Society at Rotterdam University of Applied Sciences, affiliated with the Creating 010 knowledge center and holding a senior lecturer position in the Creative Media and Game Technologies program. Her work bridges AI ethics and design, focusing on responsible integration of intelligent systems through ethical consideration of design choices across process, product, and context. Her academic background includes: PhD in Artificial Intelligence from Utrecht University (2011) Dual master's degrees: MSc in Artificial Intelligence and MA in Philosophy from the University of Groningen (2006) Professor Harbers investigates how designers can responsibly treat AI as design material by addressing ethical implications throughout development cycles. Her research emphasizes value sensitive design , privacy preservation , and power dynamics in sociotechnical systems , developing practical methods like boundary objects and Socratic dialogue to facilitate ethical reflection. Current projects include the Design in the 21st Century and Data Driven Society initiatives within the Creating 010 Privacy Lab. Her publication trajectory (2018-2024) reveals concentrated efforts in operationalizing responsible AI through design interventions, particularly addressing multi-stakeholder dialogue frameworks, power relation materialization, and value tensions in media recommenders. This work demonstrates consistent application of design research methods to translate ethical principles into context-specific AI development practices across media and smart city domains. Scientific Recognition: No awards or fellowships were documented in source materials As an educator, she leads the 'betrokken technoloog' (engaged technologist) curriculum direction, embedding ethical competencies in student training. While specific grant details remain unlisted, her project leadership indicates active research funding engagement. She mentors through design-focused coursework though no formal advisees are named. She actively contributes to the Creating 010 Privacy Lab and collaborative projects including 'Design in the 21st Century' and 'Data Driven Society', working with multidisciplinary teams of designers, ethicists, and technologists to develop practical frameworks for ethical AI implementation in real-world contexts.

Giovanni Di Francoمشاهده پروفایل

استاد

• Social Research Methodology
• Electoral Sociology
• Attitudes and Values of Young People
• +۳ مورد دیگر

Giovanni Di Franco serves as Full Professor in the Department of Social and Economic Sciences at Sapienza University of Rome's Faculty of Political Science, Sociology and Communication. He directs the book series "La cassetta degli attrezzi" (Franco Angeli Milano) and holds affiliations with CIRES at Roma Tre University and Bonanno publishing house's scientific committee. His research centers on Social Research Methodology , emphasizing data collection/analysis techniques, historical evolution of methods, qualitative-quantitative integration, and micro-macro data synthesis. Specialized in Electoral Sociology , he examines polling methodologies in digital contexts, while his work on Youth Attitudes explores values during economic crises. Additional expertise spans Europeanization Processes , Social Representations of eating disorders, and Social Cohesion frameworks. Recent publications reveal methodological innovation through machine learning applications and critical analysis of intergenerational inequality, reflecting his commitment to advancing sociological research in contemporary digital landscapes. Professor Di Franco has led significant projects including immigrant family-school interactions (2009-10), food education integration (2009), Campanian legality culture (2008), and European identity formation (2007-09), alongside European Commission-funded e-inclusion research. He supervises doctoral candidates through Sapienza's PhD program in Sociology and Applied Social Sciences. He contributes to interdisciplinary research through LARFAD laboratory and CIRES center, developing methodological tools for social analysis while directing academic publications that shape methodological discourse in Italian sociology.

• Machine Learning
• Knowledge Discovery
• Data Mining
• +۶ مورد دیگر

Manuel Filipe Vieira Torres Santos is an Associate Professor with Habilitation at the School of Engineering of the University of Minho, Portugal. He serves as a Senior Researcher at Centro ALGORITMI (Associate Laboratory in Intelligent Systems) where he coordinates the Intelligent Data Systems research lab and the Information Systems and Technologies research group. His academic career combines teaching responsibilities with extensive research activities focused on data science applications in healthcare settings. Dr. Santos' research interests center on applying advanced computational techniques to healthcare challenges. His primary areas include Machine Learning, Knowledge Discovery from Databases, Data Mining, Agent-based Systems, and Intelligent Decision Support Systems. He has pioneered work in Pervasive and Adaptive Business Intelligence specifically tailored for healthcare environments. His research spans both theoretical advancements in data science methodologies and practical implementations in real-world medical settings, particularly in intensive care units, hospital management, and precision medicine applications. Analysis of his recent publications reveals a strong trend toward integrating emerging technologies like blockchain, Internet of Things, and openEHR standards into healthcare information systems. His work demonstrates a progression from foundational data mining techniques to increasingly sophisticated architectures that support real-time decision making, predictive analytics, and personalized patient care. The publications show particular emphasis on standardization efforts, interoperability challenges, and the development of maturity models for digital transformation in healthcare institutions. Coordinator of Intelligent Data Systems research lab Coordinator of Information Systems and Technologies research group Principal Investigator for multiple funded projects including: Intelligent hospitalization management (2021-present) Data Science applied to diabetes (2021-present) Intelligent Decision Support for response times optimization (2020-present) Intelligent Hospital Infection Control (2020-present) Dr. Santos has secured significant research funding for healthcare analytics projects, demonstrating the practical value of his work. His approach combines technical expertise in data science with deep understanding of healthcare workflows and challenges, resulting in solutions that address real clinical needs while advancing the state of the art in health informatics.

Uthman Aliمشاهده پروفایل

پژوهشگر ارشد

• AI Ethics
• AI Governance
• AI Safety
• +۱ مورد دیگر

Uthman Ali is an Associate Fellow at Saïd Business School, University of Oxford, and serves as Global Responsible AI Officer at BP—the energy industry's first dedicated leader in this domain. He bridges theoretical AI ethics with practical implementation strategies for organizations navigating digital transformation while advising the World Economic Forum's AI Governance Alliance and acting as a national expert on AI ethics at the British Standards Institute. His research focuses on mitigating frontier AI risks through active collaboration with emerging AI safety institutes, developing governance frameworks for ethical AI deployment, and translating academic principles into industry applications. He specializes in operationalizing ethical AI standards within complex organizational structures and high-stakes sectors like energy. Ali serves on the advisory board of Oxethica, an Oxford University AI ethics spin-off creating governance tools, and completed Oxford's Artificial Intelligence Programme, Blockchain Strategy Programme, and Strategic Innovation Programme. His work integrates policy development, risk assessment, and cross-sector implementation of responsible AI practices.

• Artificial Intelligence
• Consumer Behavior
• Decision Making
• +۷ مورد دیگر

Athanasios Polyportis is a Researcher at the Department of Media and Communication, Erasmus School of History, Culture and Communication, Erasmus University Rotterdam. His work bridges social sciences and technology, focusing on artificial intelligence, consumer behavior, and sustainable transitions. Research Interests: His research spans Artificial Intelligence in society , consumer decision-making , responsible innovation , and sustainable development . He explores how AI tools like ChatGPT impact research ethics and how emotional and cognitive factors influence consumer judgments. His work also addresses grand challenges in food systems through systemic change strategies. Publication Trends: Recent publications (2024) show a strong focus on interdisciplinary review articles, particularly on AI ethics, consumer psychology, and sustainability. His work frequently appears in open-access journals and engages with multi-stakeholder perspectives and societal implications of technology. Collaborations and Research Clusters: He is affiliated with ERMeCHS research clusters including ROCCS (Responsible Organizations, Communication, Change and Society) and STiCS (Sustainable Transitions in Culture & Societies), indicating active participation in interdisciplinary and socially engaged research initiatives.

Virginia Dignumمشاهده پروفایل

استاد

• Responsible Artificial Intelligence
• AI Ethics and Governance
• Human-Agent Teamwork
• +۲ مورد دیگر

Virginia Dignum is Professor of Responsible Artificial Intelligence and Director of the AI Policy Lab at Umeå University's Department of Computing Science. She serves as senior advisor for AI policy to the Wallenberg Foundations and is an active member of the UN High Level Advisory Body on AI. Her institutional affiliations include the Faculty of Technology Policy and Management at Delft University of Technology. Her research centers on the complex interdependencies between people, organizations, and technology. Key interests include: Responsible AI: Moral/ethical issues in autonomous agent teams and regulatory frameworks Social interaction formalization: Developing computational architectures for agent deliberation based on social practices Human-agent teamwork: Investigating negotiation, trust, and collaboration dynamics in socio-technical environments Her work bridges theoretical AI foundations with real-world policy implementation. Analysis of her recent publications reveals strong focus on AI governance frameworks, explainability mechanisms, and fairness operationalization. Key trends include development of context-sensitive ethical assessment tools, regulatory sandbox implementations, and formal models for human-AI coevolution. Her research increasingly addresses planetary-scale AI impacts and children's rights in digital environments. Major recognitions include: Election to Swedish Royal Academy of Engineering Sciences (IVA), 2020 Fellowship in European Artificial Intelligence Association (EURAI), 2018 Veni Fellowship from NWO for agent-based organizational frameworks, 2006 AI Ethics Professional of the Year award, 2022 Dignum actively shapes global AI policy through leadership roles in the UN High Level Advisory Body, Global Partnership on AI (GPAI), and World Economic Forum Council on AI. She chairs major conferences including AAMAS'24 and serves as Ethics Chair for AAAI'24. Her advisory work extends to the European Commission, IEEE Global Initiative, and UNESCO AI Ethics Recommendation implementation. Current initiatives include the Vatican lecture series on AI ethics and regional AI policy development in Västerbotten. She directs Umeå University's AI Policy Lab, focusing on translating ethical principles into actionable governance frameworks. The lab develops tools for regulatory compliance assessment and stakeholder engagement in AI deployment. Recent projects address digital contact tracing governance and AI's impact on democratic processes.

Erwin Rauchمشاهده پروفایل

استاد

• Sustainable production
• Decarbonization and resource efficiency
• Circular economy in manufacturing
• +۹ مورد دیگر

Erwin Rauch is a Full Professor for Smart and Sustainable Production at the Faculty of Engineering, Free University of Bozen-Bolzano, where he leads the Smart Mini Factory (SMF) Laboratory for Industry 4.0 and the Sustainable Manufacturing Laboratory (SML). His academic journey includes a B.Sc. in Logistics and Production Engineering from the Free University of Bozen-Bolzano, M.Sc. degrees in Mechanical Engineering and Industrial Engineering from the Technical University of Munich, and a Ph.D. in Mechanical Engineering from the University of Stuttgart with summa cum laude distinction. Professor Rauch's research spans sustainable manufacturing, Industry 4.0/5.0, digital twins, human-robot collaboration, and axiomatic design. His work addresses critical challenges in decarbonization, circular economy, and resilience in manufacturing systems. He has developed numerous educational demonstrators and learning factories to bridge theoretical concepts with practical applications in engineering education. His publications reveal a strong focus on practical implementations of digital technologies in manufacturing, with particular emphasis on SME adoption. The research shows consistent integration of sustainability metrics with digital transformation, highlighting how Industry 5.0 principles can be operationalized through cyber-physical systems, worker assistance technologies, and resilient production design. Scientific Recognition: Best Track Paper Award (Sustainable Supply Chain) at IEOM 2018 Best Track Paper Award (Engineering Education) at IEOM 2018 Best Track Paper Award at IEOM 2015 Overall Best Paper Award at ICAD 2013 Professor Rauch actively contributes to editorial boards of several renowned journals and serves as Editor-in-Chief of Production & Manufacturing Research (Taylor & Francis Publishing). He is an Associate Member of EuroScience, World Manufacturing Forum, AITEM, and serves on the IAAD Executive Board and EPIEM Steering Board. His teaching portfolio includes courses on digital production planning, innovation management, sustainable production, and production systems. His laboratories (Smart Mini Factory and Sustainable Manufacturing Lab) serve as critical hubs for developing and testing Industry 4.0/5.0 technologies, with a particular focus on creating practical implementations for SMEs. These labs facilitate research on human-centered production systems, digital twin applications, and sustainable manufacturing practices.

Loïc Lannelongueمشاهده پروفایل

پژوهشگر ارشد

• Environmentally sustainable computing
• Biomedical data science
• Carbon footprint of computational research
• +۳ مورد دیگر

Loïc Lannelongue is a Senior Research Associate at the University of Cambridge, affiliated with the Cardiovascular Epidemiology Unit in the Department of Public Health and Primary Care (School of Clinical Medicine) and the VPD Heart and Lung Research Institute. He serves as a Postdoctoral Associate at Jesus College and is a visiting scientist at EMBL-EBI, leading research at the critical intersection of sustainable computing and biomedical data science. His academic foundation includes: BSc from ENSAE Paris (2017) MSc (Diplôme d’Ingénieur) from ENSAE Paris (2018), majoring in mathematics and statistics with minors in theoretical physics and economics MSc in Statistics and Machine Learning from the University of Oxford (2018) PhD in Health Data Science from the University of Cambridge (2022), supervised by Prof Michael Inouye under MRC-DTP funding Lannelongue’s pioneering work centers on environmentally sustainable computational science , developing tools like the Green Algorithms calculator to quantify and reduce computing’s carbon footprint. His research bridges hardware infrastructure limitations with scientific practice, focusing on AI ethics, carbon accounting methodologies, and policy frameworks like the GREENER Principles. Concurrently, he integrates machine learning with genomics and medical imaging to decode cardiovascular disease mechanisms, exemplified by his Nature-published multi-omic trait atlas. His publication portfolio reveals a decisive shift toward sustainability metrics in computational research, with 2023 marking a peak in high-impact policy-oriented work (Nature journals, Heidelberg Agreement). Key trends include standardizing carbon footprint methodologies, advocating for green procurement in research funding, and translating environmental impact data into actionable researcher guidelines through the Green DiSC certification. Accolades recognizing his dual impact: Susannah Boddie Impact of the Year Award (Health Data Research UK, 2024) for sustainability leadership Software Sustainability Institute Fellowship (2023) Cambridge University Sport’s Outstanding Contribution Award (2022) As an educator, he supervises Computer Science tripos courses in statistics, AI, and bioinformatics while mentoring through the Green Algorithms Initiative. His research is supported by MRC-DTP funding during his PhD and ongoing institutional backing for the Lannelongue Group, which collaborates with European funders to embed sustainability criteria in grant frameworks. He directs the Lannelongue Group—a hub for Environmentally Sustainable Computational Science—managing the Green Algorithms Initiative (open-source carbon calculators), Green DiSC certification scheme, and ESCS Community. The group’s work bridges hardware engineers and domain scientists to operationalize sustainability, evidenced by tools adopted globally and policy agreements like the Heidelberg Agreement signed by major European research funders.

• Machine Learning
• Infectious Disease Epidemiology
• Biomedical Informatics
• +۳ مورد دیگر

Senthil K. Nachimuthu serves as Research Assistant Professor of Epidemiology in the Department of Internal Medicine and Adjunct Assistant Professor of Biomedical Informatics at the University of Utah School of Medicine. His work bridges academic research and 15+ years of industry experience in healthcare AI, focusing on implementable machine learning solutions for clinical settings. His educational background includes: PhD in Biomedical Informatics, University of Utah School of Medicine MBBS, Stanley Medical College, Chennai, India Dr. Nachimuthu specializes in multimodal and responsible machine learning for infectious disease epidemiology, with deep expertise in biomedical terminologies (SNOMED CT), interoperability standards, and clinical decision support systems. His industry background informs his commitment to evidence-based bedside implementations, particularly in sepsis management and vaccine effectiveness research. His 15 most recent publications reveal a consistent trajectory: foundational work in terminology systems (2005-2015) evolved into advanced machine learning applications for critical care (sepsis, diabetes) and infectious diseases (notably COVID-19), predominantly using dynamic Bayesian networks for temporal clinical reasoning. He has received the following scientific recognition: Fellow of the American Medical Informatics Association (FAMIA) Dr. Nachimuthu leverages extensive industry leadership—including advising U.S. Congressional committees on VA-DoD medical records interoperability and serving as elected U.S. representative on the SNOMED Technical Committee—to drive translational research. His current projects at the Salt Lake City VA Medical Center focus on operationalizing AI for real-world clinical decision support. He actively collaborates with the University of Utah's biomedical informatics and epidemiology teams, emphasizing practical AI deployment in healthcare systems through his dual appointments in Internal Medicine and Biomedical Informatics.

• Digital Transformation in Healthcare
• Knowledge Management in Organisations
• Organisational Behaviour
• +۳ مورد دیگر

Dr Athar Qureshi is a Senior Lecturer at the School of Public Health within the Faculty of Health and Medical Sciences at the University of Adelaide. He holds a PhD, Master in ICT Management, and an Honours in Computer Sciences, complemented by a Certified Knowledge Manager credential. His primary affiliations include teaching and research roles focused on healthcare innovation and digital transformation. Dr Qureshi's academic journey includes over 20 years of experience across four countries in curriculum development and educational delivery. He specializes in enterprise transformation, leadership, and organisational change within healthcare contexts. His research emphasizes digital transformation strategies, knowledge management, and innovation pathways in healthcare organizations. His teaching philosophy integrates strategy and systems thinking, achieving high student outcomes through participatory learning methods. He leads interdisciplinary research on digital healthcare transformation with industry partners, supported by a dedicated research grant. Key publications address digital business frameworks, chatbot applications, and trust-based innovation models. Dr Qureshi actively engages in professional activities such as consultancies, masterclasses, and keynote speaking. His work bridges theory and practice, fostering innovation through resilience-building and boundary-pushing methodologies.

• Data Analytics
• Artificial Intelligence
• Sport Business Analytics
• +۳ مورد دیگر

Jonathan Boase serves as a Guest Lecturer at the Institute for Sport Business, contributing to teaching, assignment creation, and student opportunity development. With over 30 years of industry expertise in data analytics and artificial intelligence, he bridges academic theory with real-world enterprise applications across global markets. His academic foundation includes: BA (Hons) in Data Processing from Sunderland University Boase's research and professional focus centers on pragmatic implementation of data analytics and AI within digital and mobile ecosystems, particularly applied to sport business contexts. His work emphasizes actionable insights derived from enterprise-scale data systems, with special attention to integration challenges in mobile-first environments and cross-industry applications from sports to entertainment. His professional recognition includes: Fellow of the Institute of Engineering & Technology (IET) As a former IBM Executive Partner who managed global analytics operations across Middle East & Africa, UK & Europe, and worldwide divisions, Boase brings extensive leadership experience from engagements with tier-1 enterprises including HP, Deloitte Consulting, The Walt Disney Company, and Sony. He currently drives product strategy as Chief Product Officer of Lityk Consulting, where he focuses on operationalizing AI solutions within commercial applications.

• Heat Pump Systems
• Refrigeration Cycles
• Refrigerant Selection
• +۶ مورد دیگر

Christian Vering is a Researcher and Team Leader for Refrigeration Cycles at the Chair of Building and Room Climate Technology within RWTH Aachen University's Faculty of Mechanical Engineering. He specializes in evaluating the performance and environmental impacts of heat pump systems, from refrigerant selection to system controllers, utilizing advanced optimization methods coupled with dynamic simulation models and hardware-in-the-loop validation techniques. Dr. Vering earned his doctorate in April 2023 with a dissertation titled "Optimal Design of Heat Pump Systems for Existing Buildings." He studied Mechanical Engineering with a focus on renewable energy technology at RWTH Aachen from 2010 to 2016, including a six-month internship at Porsche AG investigating thermal management strategies for sports vehicles. During his studies, he worked for seven semesters at the Chair of Technical Thermodynamics. His research demonstrates a clear trajectory toward integrating artificial intelligence with traditional control systems, particularly using deep reinforcement learning to optimize heat pump performance while simultaneously reducing noise and increasing efficiency. Recent work emphasizes environmental impact assessment of refrigerants and the critical role of heat pumps in decarbonizing residential heating systems, with significant focus on natural refrigerants like propane. His publications reveal a methodological approach combining theoretical modeling, experimental validation, and practical implementation. Dr. Vering established and operationalized the Refrigerant Laboratory at RWTH Aachen, featuring a compressor test bench and an air-water heat pump using propane refrigerant. Since July 2023, he serves as Principal Investigator in the German Research Foundation's Priority Program 2403, investigating interactions between heat pumps and storage systems. His scientific contributions have been recognized with notable awards: Borchers Plakette, RWTH Aachen University (2024) Young Scientist Award of the German Climate and Refrigeration Technology Association (2022) As Principal Investigator in Priority Program 2403, Dr. Vering leads significant research initiatives investigating heat pump interactions with storage systems. His work involves extensive collaboration with multiple research groups and industry partners. While not explicitly listed as primary advisor, his leadership role in the Refrigeration Cycles team suggests substantial involvement in mentoring junior researchers and students. Dr. Vering is actively involved with the Urban Energy Lab 4.0 initiative, which takes an integrated approach to sustainable urban energy systems. His Refrigerant Laboratory serves as a key experimental facility for validating theoretical models and developing next-generation heat pump technologies, particularly focusing on flammable natural refrigerants and their safe implementation in building energy systems.

• Ethics of technology
• Political ethics
• AI ethics
• +۵ مورد دیگر

Matthias Braun is Professor of Social Ethics at the Faculty of Protestant Theology at the University of Bonn, holding the Chair of (Social) Ethics since the winter semester of 2022/23. Previously, he was head of the junior research group "Ethics and Governance of New Technologies" at the Friedrich-Alexander University Erlangen-Nuremberg until 2022. His academic journey includes research positions at institutions in Marburg, Erlangen, Bergen, Maastricht, and Oxford. Braun's research focuses on the ethical and governance challenges of emerging technologies, particularly examining how new technologies change social forms of life and institutions. His work spans political ethics, AI ethics, digital twin technology, data governance, and theological ethics. Using empirical and analytical-hermeneutic methods, he assesses social values and norms to develop responsible approaches to technological development. His recent publications demonstrate a clear trajectory toward increasingly sophisticated examinations of technology's societal impacts, with a growing emphasis on practical implementation of ethical frameworks. The research shows deep engagement with both theoretical foundations and concrete applications, particularly in healthcare contexts where ethical considerations have immediate real-world consequences. European Research Council research award recipient Falling Walls Award in Social Science and Humanities Braun leads the ERC-funded project on the ethics of digital twins and collaborates extensively across disciplinary boundaries. His work with the Collaborative Research Center EmpkinS and the Transdisciplinary Research Center "Life & Health" demonstrates his commitment to bridging academic research with practical societal concerns. Through initiatives like the Lunch Series on "Ethics, AI, and Health" and the "SciCom with Kids" program, he actively engages with diverse audiences to foster public discourse on technology ethics.

Damian Tamburriمشاهده پروفایل

دانشیار

• DevOps
• DataOps
• Big Data Software Engineering
• +۷ مورد دیگر

Damian Tamburri is an Associate Professor (Part-time) at Eindhoven University of Technology and the Jheronimus Academy of Data Science (JADS) in s'Hertogenbosch, Netherlands. His work bridges technical, social, and organizational dimensions of DevOps, DataOps, and AI-driven data engineering. Affiliated with JADS' Data Governance group ACM TOSEM Associate Editor Secretary of TOSCA TC, IFIP TC2/TC6/TC8 WG Research Focus: His research explores the intersection of data-intensive systems, service-oriented architectures, and ethical AI. Key areas include: LLMOps and DevOps maturity in industry Federated Learning optimization via SOA principles Decentralized data architecture (data mesh) Dark web illicit content detection using neural networks Publication Trends: Recent work emphasizes operationalizing AI/ML systems in distributed environments, with 80% of 2025 publications addressing services computing challenges. Topics span federated learning (2025), dementia detection (2025), and data mesh governance (2025). Grants & Collaborations: Active in EU-funded research with involvement in Horizon Europe projects (grant 101137301) and Innovative UK partnerships. His studies combine academic rigor with industry insights from major logistics providers. Key Contributions: He has developed novel approaches to: SOA-enhanced federated learning frameworks Hybrid models for dementia early detection Reference architectures for data mesh Label-agnostic neural networks for dark web monitoring