جست‌وجوی استاد و پژوهشگر

Paul de Vriezeمشاهده پروفایل

عضو هیئت علمی

• Enterprise Information Systems
• Business Process Management
• Digital Twins
• +۱۲ مورد دیگر

Dr. Paul de Vrieze is a Principal Academic in Web Systems and Technologies at Bournemouth University's Faculty of Science and Technology, Department of Computing and Informatics. He is the coordinator of the EU H2020 FIRST project and leads research in enterprise information systems, digital twins, and Industry 4.0. His work contributes to the UN Sustainable Development Goals, particularly Quality Education, Decent Work and Economic Growth, Industry Innovation and Infrastructure, and Reduced Inequalities. Education: PhD in Information Systems, Radboud University Nijmegen, 2006 MSc in Information Systems Management, Tilburg University, 2002 His research focuses on the design and implementation of complex enterprise information systems, especially in supporting and automating business processes, with a strong emphasis on cross-organizational and collaborative systems. He investigates resilience, interoperability, and service-oriented architectures in virtual factories and digital twins. His recent work applies these concepts in industrial contexts, particularly under Industry 4.0. The 15 most recent publications show a strong trend toward digital twin technologies, predictive maintenance, federated simulation, and compliance in collaborative networks. These works are deeply rooted in computer science and industrial engineering, with applications in smart manufacturing, supply chain resilience, and sustainable production. Scientific Awards and Recognitions: Panel Member, Guardian round table on cloud computing, 2012 Dr. de Vrieze has supervised multiple PhD students to completion, including Olaolu Sofela, John-Paul Kasse, Oluwetoyin Fakorede, Go Sang, and Rushan Arshad. He has secured grants from the European Commission (H2020, Horizon Europe), National Natural Science Foundation of China, British Council, and internal Fusion Funding. His current major grant is the Sustainable Production of High Entropy Alloys from Secondary Metals (Horizon Europe MSCA, starting 2026). Labs and Research Teams: He is central to the EU H2020 FIRST project team, which focuses on virtual factories and interoperation supporting business innovation. He collaborates extensively with Prof. Liang Xu and researchers across Europe and China. He is also involved in the Service Computing Research group at Bournemouth University.

• Next Generation Internet
• Human-centric Networking
• Ontology and Knowledge-based Management
• +۱۳ مورد دیگر

David Palma is an Associate Professor at the Department of Information Security and Communication Technology , Faculty of Information Technology and Electrical Engineering , Norwegian University of Science and Technology (NTNU). His research focuses on next-generation networking paradigms, including intent-based networking , knowledge-driven management , and IoT device automation . Key research interests include: Human-centric Internet of Things (IoT) Ontology-based network management Cloud/Edge/Fog computing for IoT Arctic and satellite communication 5G integration in smart grids His recent publications (2024-2019) highlight trends in knowledge graphs for network compliance, XR applications in critical sectors, UAV-based emergency networks , and 5G-enabled smart grid protection . Articles also explore Arctic connectivity via satellite swarms and energy-efficient IoT management.

Alessio Facciaمشاهده پروفایل

استادیار

• Finance
• Accounting
• Accounting Information Systems
• +۱۶ مورد دیگر

Dr. Alessio Faccia is an Assistant Professor in Finance at the School of Business and Law, University of Birmingham Dubai, with a strong international academic and professional background. He holds a PhD in Business Economics (Accounting & Finance) from Università Politecnica delle Marche and has taught at institutions in Italy, UAE, UK, and Malta. He is also a qualified Chartered Accountant and Auditor in Italy, with prior experience at Accenture and as founder of an independent audit firm. Education: PhD in Business Economics (Accounting & Finance), Università Politecnica delle Marche, 2012 MBA (Hons) in Business Economics & Accounting, Università Roma TRE, 2006 BSc in Business Economics and Accounting, Università Roma TRE, 2004 LLM, Pegaso University, 2019 MSc in Criminology, Pegaso University, 2017 CA (Chartered Accountant and Auditor), Italy, 2009 Fellow of the Higher Education Academy (FHEA), 2021 Certified Management & Business Educator (CMBE), 2020 His research spans interdisciplinary domains including blockchain, accounting information systems, machine learning, fraud examination, and sustainable finance. He explores how emerging technologies like AI, blockchain, and cognitive computing can enhance transparency, resilience, and innovation in financial systems. His work often bridges theory with practical applications in fintech, auditing, and regulatory compliance. His recent publications reflect a strong trend toward leveraging big data, blockchain, and AI to transform traditional finance and accounting practices. Topics include blockchain for supply chain risk, NLP for financial transparency, generative AI in education, and quantum fintech. These contributions appear in high-impact journals such as Annals of Operations Research , Sustainability , and Big Data and Cognitive Computing . Scientific Awards and Recognition: Fellow of the Higher Education Academy (FHEA), 2021 Certified Management & Business Educator (CMBE), 2020 Dr. Faccia actively contributes to the academic community as a reviewer for top-tier journals including Technovation , Chaos, Solitons & Fractals , PLoS ONE , and International Journal of Production Economics . He serves on the editorial board of the International Journal of Accounting & Finance Review and Journal of Risk and Financial Management . He has also acted as Guest Editor for special issues and Publicity Chair for international conferences, demonstrating leadership in academic dissemination. He supervises MSc students’ dissertations in finance and accounting and teaches postgraduate modules such as Financial Statement Analysis, Risk Management, and Alternative Finance. His advisory role extends to guiding research on blockchain, fraud, and sustainable business models. He has no listed grants, but his collaborative research indicates strong engagement with international scholars. Dr. Faccia is involved in cutting-edge research teams focused on blockchain, AI in finance, and digital transformation. He contributes to initiatives like the International Conference on Cloud and Big Data Computing and participates in technical research on ERP integration, semantic web applications, and cybersecurity resilience, positioning him at the forefront of technological innovation in business education.

Richard Zowallaمشاهده پروفایل

پژوهشگر

• Health Informatics
• Web Data Mining
• Text Mining
• +۴ مورد دیگر

Dr. sc. hum. Richard Zowalla is a researcher at the Faculty of Computer Science, Heilbronn University, specializing in health informatics and software engineering. He works at the Interdisciplinary Center for Machine Learning (ZML) and focuses on health web analysis, text mining, and open source software. Education: Doctorate in human sciences (Dr. sc. hum.), dissertation on German health web data analysis (2022) Research interests include health information systems, focused web crawling, text mining, and software quality management in agile environments. His work bridges healthcare and computer science through data-driven analysis of online medical resources. Publication trends show expertise in health web readability, multilingual health data comparison, and AI-driven service innovation. His articles emphasize practical applications of machine learning and data visualization in healthcare contexts. Teaching: Software Lab (2016-2025), Advanced Programming Techniques (2020-2024), Database Internship (2014-2025), Distributed Systems (2016-2017) Labs & Teams: Active member of the Interdisciplinary Center for Machine Learning (ZML) at Heilbronn University, contributing to collaborative research in health data analysis.

Wenfei Fanمشاهده پروفایل

استاد

• Database Theory
• Data Science
• Information Visualization
• +۹ مورد دیگر

Wenfei Fan holds the Personal Chair in Web Data Management at the School of Informatics, University of Edinburgh . He is affiliated with the Database Group , LFCS (Laboratory for Foundations of Computer Science), Bell Labs , and the International Research Center on Big Data at Beihang University. His research spans database theory, data science, and big data systems. PhD in Computer and Information Science, University of Pennsylvania, USA MS in Computer Science, Peking University, China BS in Computer Science, Peking University, China His research interests focus on database theory and systems , including big data, data quality, data integration, database security, distributed query processing, query languages, social networks, and XML. He has pioneered techniques for graph pattern matching, data dependencies, and scalable algorithms. Recent publications emphasize graph data management , rule-based systems , and ML-data quality integration . Key themes include incremental computation, GPU-accelerated graph cleaning, entity linking, and logic-driven ML. Articles like 'Rock' and 'MiniClean' demonstrate hybrid approaches for real-world data challenges. Fellow of the Royal Academy of Engineering (FREng), 2023 Foreign Member, Chinese Academy of Sciences (ForMemCAS), 2019 Fellow of the Royal Society (FRS), 2018 ERC Advanced Fellowship, 2015 ACM Fellow (FACM), 2012 Roger Needham Award, 2008 He leads the ERC project: Resource-Bounded Graph Query Answering and contributes to systems like GRAPE and GraphScope , which parallelize sequential algorithms and process large graphs. He mentors students and collaborators globally, with a focus on data quality and graph analytics.

Maurizio Leottaمشاهده پروفایل

استادیار

• Software Engineering
• Test Automation
• Empirical Software Engineering
• +۷ مورد دیگر

Maurizio Leotta is an Assistant Professor in Computer Science at the University of Genova, Italy, where he has been employed since 2018. He is a member of the Department of Computer Science, Bioengineering, Robotics, and Systems Engineering (DIBRIS) within the School of Mathematical, Physical and Natural Sciences. Additionally, he serves on the School Council and the Department Board of DIBRIS. Dr. Leotta received his PhD in Computer Science from the University of Genova in 2015, with a thesis on Automated Web Testing under the supervision of Prof. Filippo Ricca. His doctoral work was revised by Prof. Massimiliano di Penta (Università del Sannio, Italy) and Prof. Ali Mesbah (University of British Columbia, Canada). Before his academic career, he worked as an IT Technician in various companies and participated in research and industrial projects funded by organizations such as Finmeccanica S.p.A. and the Italian Space Agency. Dr. Leotta's primary research focuses on Software Engineering, with particular emphasis on Test Automation, which is his main research topic. He collaborates with Prof. Paolo Tonella from USI, Switzerland on this area. His other significant research interests include Empirical Software Engineering, Requirements Engineering, Business Process Modelling, and Model-Driven Software Engineering. His work often addresses practical challenges in web and mobile application testing, with a growing interest in applying AI and gamification techniques to improve software testing processes. His recent publications demonstrate a strong trend toward integrating artificial intelligence with traditional software testing methodologies, particularly in end-to-end web testing. He has made significant contributions to improving test robustness, addressing flakiness in test execution, and developing tools for better test maintenance. His work also shows increasing interest in gamification approaches to engage developers and students in software testing activities, as well as applications of large language models to enhance test automation. Dr. Leotta has received multiple prestigious awards for his research, including: Best Paper Award at ICST 2025 (Short Papers, Vision and Emerging Results) Distinguished Paper Award at ICST 2023 (Industry Papers) Best Paper Award at QUATIC 2022 (Full Papers) Best Paper Award at ICST 2022 (Demo and Testing Tool Papers) Best Paper Award at QUATIC 2020 (Full Papers) Best Student Paper Award at ICWE 2016 (Full Papers) Dr. Leotta has advised numerous graduate students, including three PhD candidates who have completed their degrees (Andrea Fasciglione in 2024, Dario Olianas in 2023, and Diego Clerissi in 2020). He currently supervises multiple Master's students working on topics related to software testing, web accessibility, and AI applications in software engineering. He has also served as a postdoctoral advisor for researchers including Diego Clerissi and Dario Olianas. Beyond advising, Dr. Leotta has secured research funding through collaborations with industry partners and has been involved in multiple research projects focused on software testing and verification. He co-directs the Software Engineering for Healthcare (SEH) Laboratory, which has been partially supported by Janssen Italia (previously by Actelion Pharmaceuticals Italia). The lab focuses on applying software engineering techniques to healthcare applications, particularly in the areas of wearable technology for patient monitoring and medical data analysis. Dr. Leotta is also active in the Gamify research community, organizing workshops on gamification in software development, verification, and validation.

Masood Mansooriمشاهده پروفایل

مدرس

• Intrusion Detection
• Deception Systems
• Honeypots
• +۵ مورد دیگر

Dr. Masood Mansoori is a Lecturer at the School of Professional Studies , UNSW Canberra . He holds a PhD in Engineering from Victoria University of Wellington, New Zealand (2017), a Master of Computer Science from University Malaya, Malaysia (2010), and a Bachelor of Computer Science & IT from Eastern Mediterranean University, Cyprus (2005). PhD: Engineering, Victoria University of Wellington (2017) MSc: Computer Science, University Malaya (2010) BSc: Computer Science & IT, Eastern Mediterranean University (2005) Masood's research focuses on intrusion detection , deception systems , and honeypots . He designed YALIH and miniC , two client honeypots, and contributed to open-source projects like Cowrie Honeypot . His work spans browser-based geolocation attacks , IoT security , and malicious web behavior analysis . Recent publications include studies on advanced persistent threats using genetic programming (2024), ransomware classification via particle swarm optimization (2022), and IoT attack clustering with autoencoders (2022). His research integrates machine learning and security analytics to address evolving cyber threats. Scientific Awards : Best Student Paper Award, Australian Information Security Conference (ACSW - AISC), 2014 Best Student Paper Award, Australian Information Security Conference (ACSW - AISC), 2013 Victoria University of Wellington Scholarship, 2013 CORE Scholarship, 2015 Masood has extensive experience in curriculum design , course coordination , and teaching cybersecurity , digital forensics, risk management, and network security. He currently works at D236, UNSW Canberra, Reid Campus .

Tolga Aydinliyimمشاهده پروفایل

دانشیار

• Operations Management
• Operations Research
• Quantitative Modeling
• +۵ مورد دیگر

Tolga Aydinliyim is an Associate Professor of Operations and Decision Analytics at the Zicklin School of Business, Baruch College, within the City University of New York (CUNY) system. He serves in the Narendra Paul Loomba Department of Management and has held significant leadership roles including Coordinator of the Operations and Decision Analytics area since 2020 and previously served as the Management area Coordinator of the Zicklin PhD Program from 2018-2020. He was also the founding coordinator of the OMEGA research seminar series from 2015-2021. His educational background includes a PhD in Operations Research from Case Western Reserve University (2007) and a BS in Industrial Engineering from Middle East Technical University in Ankara, Turkey (2003). Professor Aydinliyim's research spans several critical areas in operations management with particular focus on the operations-marketing-economics interface, retail operations, revenue management and pricing, closed-loop supply chain management, and capacity allocation in supply chains and healthcare settings. His work addresses practical challenges in sustainable operations, consumer return behaviors, inventory disclosure strategies, and green product design. He approaches these topics through quantitative modeling and empirical analysis, developing frameworks that help organizations optimize their operational decisions while considering market dynamics and consumer behavior. His publication portfolio demonstrates consistent contributions to premier operations management journals. Recent work focuses on closed-loop supply chains, healthcare capacity allocation during crises, strategic consumer behavior regarding product returns, and the impact of inventory disclosure in online retailing. His research shows a clear progression from foundational work in subcontracting and capacity allocation toward more contemporary issues in sustainable operations, omnichannel retailing, and the intersection of operations with marketing and economics. 2021 M&SOM Meritorious Service Award Multiple Summer Research Support grants from Manufacturing 21 Lundquist College of Business Summer Research Support (multiple years) Center for Sustainable Business Practices Summer Research Award Dean's High Honor List at Middle East Technical University Full Tuition plus Stipend for Top 100 students in Turkey Professor Aydinliyim has secured multiple research grants from PSC-CUNY including projects on healthcare capacity rationing, green product line design, closed-loop supply chains, and omnichannel partnerships for managing product returns. He serves as an Associate Editor for Decision Sciences and OMEGA journals, and has held numerous editorial and conference committee positions including track organizer for major conferences like POMS and DSI. His service extends to reviewing for numerous prestigious journals across operations research and management science. He has established the OMEGA research seminar series which served as an important platform for scholarly exchange in operations management from 2015-2021. His research collaborations span multiple institutions and include partnerships with researchers from various disciplines addressing complex operational challenges in retail, healthcare, and sustainable supply chains.

• Grid Computing
• Parallel Computing
• Cloud Computing
• +۴ مورد دیگر

Vladimír Siládi, PhD, serves as Assistant Professor and Head of the Department of Computer Science at Matej Bel University in Banská Bystrica, Slovakia, where he has held academic positions since 1995. His current roles include Project Coordinator for the Virtual University initiative and Registration Authority for SlovakGrid, with prior experience as a part-time Assistant Professor at Slovak University of Technology. Educational Background: PhD in Computer Science, Slovak University of Technology in Bratislava (1997-2007) Master's in Theology, Comenius University in Bratislava (2003-2008) Master's in Secondary Education and Teaching (cum laude) and PaedDr. (EdD), Matej Bel University (1988-1993, 2005) High School Diploma, GMN Banská Štiavnica (1984-1988) His research centers on Grid Computing architectures , parallel processing techniques , and security frameworks for distributed systems . Specialized expertise includes GPU-accelerated algorithms for NP-hard problems, trust models in ad hoc grid environments, and cloud-based educational platforms. His interdisciplinary work bridges computer science with environmental modeling and psychological applications through virtual reality systems. Publication analysis reveals a consistent focus on computational optimization across 12 major works (2006-2014), with recent contributions emphasizing trust intersection models for decentralized grids (2012-2013) and cloud-based educational infrastructure (2013). Earlier works established foundations in GPU-accelerated network topology optimization and genetic algorithms for irregular systems (2006-2010). Scientific Awards: No awards documented in source materials Project leadership includes the Virtual University of Matej Bel University (ITMS 26110230077) coordinating 85 team members across 280 courses, plus TEMPUS-FLACE distance learning development (1998-2000). His registration authority role for SlovakGrid since 2009 supports national research infrastructure. Departmental leadership involves managing the Computer Science team while teaching core courses in algorithms, grid technologies, and GPU programming, maintaining consultation hours for student engagement.

• Political Science
• Public Administration
• European Union Studies
• +۷ مورد دیگر

Nataliya Antonyuk serves as Professor at the Institute of Political Science and Public Administration, University of Opole, Poland. Her academic profile demonstrates extensive scholarly engagement in European political studies with particular focus on EU integration processes and regional dynamics. Professor Antonyuk's research expertise spans several critical areas of contemporary political science: European Union integration mechanisms and policy implementation Poland's position within European structures Ukraine-EU relations and regional cooperation frameworks Security challenges in Central and Eastern Europe Border region governance and economic development Social integration processes within the European context Democratic governance in post-communist states With 33 scholarly publications, her work demonstrates consistent focus on European political dynamics, particularly examining the intersection of national policies with EU frameworks. Her research output shows particular attention to implementation challenges of European policies in member states and neighboring countries like Ukraine. Professor Antonyuk maintains an active research profile with a Web of Science h-index of 1, Total SNIP of 0.854, and Total CiteScore of 1.18, representing a substantial ministerial score of 497 in the Polish academic evaluation system. These metrics reflect her meaningful contribution to political science literature, particularly in specialized areas of European studies.

• Political Science
• Public Administration
• Political Communication
• +۶ مورد دیگر

Adam Drosik serves as Associate Professor and Rector at the University of Opole, affiliated with the Institute of Political Science and Public Administration. His academic career spans political communication, public administration, and sustainable development research with interdisciplinary connections to environmental science and agricultural policy. His research interests focus on political communication with special attention to social media in electoral campaigns, issue management in public administration, and the intersection of sustainable development with agricultural practices. His work on biochar applications demonstrates how environmental concerns intersect with political decision-making processes in farming communities. Analysis of his recent publications reveals a clear trajectory toward interdisciplinary research combining political science with environmental sustainability. His work increasingly examines digital campaign strategies while maintaining strong connections to practical applications in agricultural policy and crisis management. The research shows particular strength in Polish and comparative contexts, including studies of Brazilian agricultural practices. Professor Drosik has secured funding for 6 research projects and has accumulated 34 publications with an h-index of 4 according to Web of Science citations. His total impact factor stands at 20.931 with a ministerial score of 1,180, reflecting substantial scholarly contribution within the Polish academic system. As Rector of the University of Opole, he oversees institutional strategy while maintaining active research engagement. His leadership position suggests significant administrative responsibilities alongside his scholarly work in political science and public administration.

Tor-Morten Grønliمشاهده پروفایل

استاد

• Internet of Things (IoT)
• Software Architecture
• Machine Learning
• +۴ مورد دیگر

Tor-Morten Grønli serves as Professor at the Department of Technology, School of Economics, Innovation and Technology, Kristiania University College (Norway). He is also a Visiting Research Scholar at Copenhagen Business School's Department of Information Technology Management and an affiliate of the Center of Business Data Analytics (cbsDBA). Education PhD in Computer Science from Brunel University, London (2011) Master of Technology (with distinction) from Brunel University, London (2007) Research Focus Grønli leads research in context-aware systems, mobile/pervasive computing, and Internet of Things (IoT). He founded/directs the Mobile Technology Lab at Kristiania and has co-authored 70+ publications. Core expertise includes: IoT architecture and applications Machine learning for transport systems Mobile computing frameworks Blockchain-security integration Edge-cloud computing paradigms Publication Trends Recent works (2023-2025) demonstrate strong focus on converging IoT, blockchain, and AI technologies, particularly for intelligent transport and healthcare systems. Dominant themes include federated learning implementations, privacy-preserving architectures, and sustainable edge computing solutions, with increasing emphasis on real-world applications in medical diagnostics and public infrastructure. Professional Activities Founder/Director of Mobile Technology Lab General Chair: Norwegian Conference on ICT Co-organizer: International Conference on Mobile Web Editorial Board: International Journal of Pervasive Computing, Journal of Online Information Review, Computers & Electrical Engineering TPC Member for IEEE BigData, Percom, HICSS, COMPSAC Guest Editor for special issues in Future Generation Computer Systems

• Fiber optics
• Liquid crystals
• Photonic crystals
• +۳ مورد دیگر

Sławomir Ertman serves as a Lecturer at the Department of Optics and Photonics within the Faculty of Physics at Warsaw University of Technology. His institutional contact includes email slawomir.ertman@pw.edu.pl and phone +48 22 234 51 82 from room 8 GF. His research spans fiber optics, liquid crystal photonics, and polarization phenomena with emphasis on optical fiber properties and birefringence. This work intersects applied physics and general optics, contributing to advancements in photonic crystal applications and optical material characterization. With 100 publications and a cumulative CiteScore of 158.93, his scholarly impact is reflected in Scopus and Web of Science h-indices of 17 and 16 respectively. These metrics support a Ministry of Science and Higher Education score of 2,239. His 4 documented scientific achievements include unspecified honors within the Polish academic system, validated through institutional records. Dr. Ertman has secured 7 research projects demonstrating sustained funding engagement, though specific grant details and student supervision records remain unlisted in the source materials.

Paul Bradshawمشاهده پروفایل

دانشیار

• Data Journalism
• Investigative Journalism
• Online Journalism
• +۶ مورد دیگر

Paul Bradshaw is an Associate Professor at Birmingham City University, leading the MA in Data Journalism program while serving as a consultant data journalist for the BBC England data unit. He founded the pioneering crowdsourcing platform Help Me Investigate, which pioneered collaborative investigative techniques in journalism. His research focuses on data journalism , digital news production , and investigative innovation , with emphasis on data visualization, source protection, and mobile-first storytelling. Bradshaw's work bridges academic theory and industry practice, developing frameworks like the 'Model for the 21st Century Newsroom' adopted globally for newsroom operations and journalism education. Analysis of his recent publications reveals critical trends in ethical data communication during crises (e.g., pandemic uncertainty reporting), evolving security challenges for journalists post-Snowden, and the integration of social media into core news production workflows. His scholarship consistently addresses the practical implementation of data-driven techniques across diverse media environments. Awards and Recognition Shortlisted for Multimedia Publisher of the Year (2010) Talk About Local Investigation of the Year Award (2010) CNN MultiChoice African Journalist Award for Nigerian football agents investigation (2016) BBC England Data Journalism Award for housing discrimination reporting (2017) Bradshaw mentors students through the MA in Data Journalism program while providing consultancy to major media organizations including Sky, Trinity Mirror, The Telegraph, and the Balkan Investigative Reporters Network. His training programs focus on practical implementation of data scraping, social media analysis, and investigative techniques for newsrooms worldwide. He leads the Help Me Investigate platform as a living laboratory for crowdsourced journalism and collaborates with the BBC England data unit on high-impact investigations. His current work explores the intersection of AI tools, ethical data practices, and evolving business models in digital journalism.

Ruoyu Jinمشاهده پروفایل

دانشیار

• Recycled aggregate concrete
• Circular economy in construction & demolition waste management
• Digital technologies for construction waste reuse
• +۶ مورد دیگر

Dr. Ruoyu Jin serves as Reader in Construction Management and Technology at Brunel University's Civil and Environmental Engineering department within the College of Engineering, Design and Physical Sciences. Based in Howell Building 204, Dr. Jin can be reached at ruoyu.jin@brunel.ac.uk or by phone at +44 (0)1895 267703. Dr. Jin's research spans two primary domains: sustainable construction materials and digital construction safety. In sustainable construction, the focus is on recycled aggregate concrete, circular economy practices in construction & demolition (C&D) waste management, and Industry 4.0/5.0-featured digital technologies for C&D waste reuse. This research has yielded over 80 peer-reviewed journal articles, two book chapters, and editing one book. Notably, a research paper on C&D waste diversion earned the Most Cited Paper Award of Year 2019 in Journal of Resources, Conservation, and Recycling, while another paper received the Highly Cited Paper designation in Web of Science. In construction safety management, Dr. Jin has over ten years of practical and research experience developing digital solutions, particularly Building Information Modelling (BIM) and immersive technologies, as early-stage interventions for workforce education and pre-construction safety planning in the post-pandemic era. The interdisciplinary approach integrates artificial intelligence, construction engineering, and cognitive psychology to create interoperable digital platforms that improve safety perception and inform behavioral reactions. Dr. Jin has secured multiple research grants as Principal or Co-Investigator, including projects from the Global Challenges Research Fund, British Council Enabling Grants, Harold Samuel Research Prize, and Royal Society UK. Current PhD supervision topics include developing methodological frameworks for Industry 5.0-featured construction safety education, evaluating AI-driven building design effectiveness, and exploring digital circular economy approaches for deconstruction waste management. Professional memberships include MCIOB (Chartered Institute of Building) and FHEA (Fellowship of the Higher Education Academy), reflecting commitment to both professional practice and academic excellence in construction management and technology.