جستجوی استاد راهنمای دانشگاهی

Tim McNeil is a Professor of Design at the University of California Davis and Director of the UC Davis Design Museum. He holds an M.F.A. in Exhibition Design from the University of the Arts, London, and a B.A. in Graphic Design from Middlesex University, London. McNeil specializes in exhibition design, environmental sustainability, and museum practices, emphasizing the intersection of design with curatorial processes and audience engagement. His research includes pioneering work on green exhibition design, notably the Natural Resources Defense Council’s Santa Monica Environmental Action Center (2003), recognized as the first 'green' exhibition in a LEED platinum building. He chairs the California Association of Museums’ Green Museum Initiative and co-founded the Green Museums Accord. McNeil teaches courses such as Exhibition Design, Environmental Graphic Design, and Narrative Environments, and has advised projects like the Huntington Library’s augmented learning environments. His 2023 book, The Exhibition and Experience Design Handbook , explores design principles for creating immersive experiences. Awards include the SEGD Global Design Award (2024) and National Environmental Hall of Fame induction. Education: M.F.A. Exhibition Design, University of the Arts, London B.A. Graphic Design, Middlesex University, London Research Focus: Sustainability in museums, participatory design, and the role of exhibitions in environmental advocacy. Recent projects include the 'Village Homes: A Radical Plan' exhibition (2026) and the 'Deborah Butterfield: P.S. These are not horses' exhibition at the Jan Shrem and Maria Manetti Shrem Museum. Awards & Recognition: SEGD Merit Award (2024) National Environmental Hall of Fame (2023) Top 50 Museum Influencer (2023) Inductee, Green Museums Accord Founder Teaching & Projects: Courses include DES185 (Exhibition Design), DES186 (Environmental Graphic Design), and DES187 (Narrative Environments). Student-led projects include bike scavenger hunts and Davis City Hall signage concepts.

• Exhibition Design
• Environmental Sustainability
• Museum Practices
• +۳ مورد دیگر

Dr. Shiyan Jiang is an Assistant Professor in the Learning Design and Technology Program at North Carolina State University’s College of Education . She joined NC State in 2019 and specializes in integrating digital literacy into STEM education, particularly through AI-driven curriculum design and technology-enhanced interdisciplinary learning. Her work emphasizes empowering K-12 students with tools like narrative modeling, data visualization, and machine learning to explore STEM identities and career pathways. Education : Dr. Jiang holds a Ph.D. in Teaching and Learning (Specialization: Technology-Enhanced STEM Education) from the University of Miami (2018). Research Focus : Her research centers on: AI and data science education in K-12 classrooms Multimodal composing environments for STEM identity development Technology-mediated interdisciplinary learning Epistemic agency and data literacy Key Achievements : Recipient of NSF Awards #1949110 (2019) and #2241671 (2022) for AI-in-education projects Co-chair of the Technology Committee at the International Society of the Learning Sciences (ISLS) Editorial board member of Journal of Educational Technology Research and Development and Journal of Science Education and Technology Teaching : Courses include Data Visualization, Machine Learning, and Text Mining in Education, alongside doctoral seminars in Learning Sciences. Grants & Outreach : Collaborates with educators and institutions to design AI-infused curricula, such as the i-SAIL (integrated Science and AI Learning) program. She also develops tools like StoryQ for K-12 machine learning education. Labs & Teams : Active in the Friday Institute for Educational Innovation and the Belk Center, focusing on scalable educational technologies.

• Educational Technology
• STEM Education
• Artificial Intelligence in Education
• +۷ مورد دیگر

Daniel Beat Müller serves as Professor at the Industrial Ecology Programme within the Department of Energy and Process Engineering at the Norwegian University of Science and Technology (NTNU), Trondheim. His office is located at Realfagbygget Gløshaugen (E4-120) with contact details daniel.mueller@ntnu.no and +4791897755. His research centers on analyzing human needs in relation to material/energy flows and environmental impacts, with two primary focus areas: (i) urban evolution and associated material flows for managing building/infrastructure stocks, and (ii) national/global metal cycles to identify supply constraint reduction strategies. His methodology integrates design, modeling, and decision-making through transdisciplinary stakeholder engagement. Müller teaches Material Flow Analysis and Systems Analysis of the Built Environment for Industrial Ecology and Civil Engineering Master's students. His research outputs demonstrate strong trends in circular cities, critical mineral management, and urban metabolism, with recent publications emphasizing building information modeling, electric vehicle battery systems, and phosphorus cycling. His work consistently addresses resource criticality within energy transition contexts. As (ad interim) chair of the International Society of Industrial Ecology’s MFA-ConAccount section, he contributes to methodological standardization. He previously served on the U.S. National Research Council’s Committee on Defense Stockpiles and remains active in Switzerland's National Research Programme 65 "New Urban Quality". Müller supervises numerous Master's and doctoral students, with thesis topics spanning lithium-ion battery recycling, building stock dynamics, and urban resource flows. His projects frequently involve industry collaboration for practical implementation of material stewardship strategies.

• Industrial Ecology
• Material Flow Analysis
• Urban Metabolism
• +۵ مورد دیگر

Luis Emilio Bruni is an Associate Professor at Aalborg University’s Department of Architecture, Design and Media Technology, within The Technical Faculty of IT and Design. He leads the Media Cognition and Interactive Systems (MeCIS) research group and coordinates the Master of Science in Medialogy. Bruni is also the founder and director of the Augmented Cognition Lab, focusing on perception, cognition, and immersive technologies. His academic roles include PI on multiple interdisciplinary projects and board memberships in international associations like the Nordic Association for Semiotic Studies (2011–2017) and the International Society for Biosemiotic Studies (founding member, 2005). Academically, Bruni holds a Ph.D. in Molecular Biology and Theory of Science (University of Copenhagen), M.Sc. in International and Global Relations (Universidad Central de Venezuela), and B.Sc. in Environmental Engineering (Pennsylvania State University). His research spans narrative cognition, extended reality, biosemiotics, and the interplay between technology, cognition, and culture. He has conducted projects on neurocinematic analysis, interactive storytelling, and the psychological impact of digital media. Key research contributions include studies on EEG responses to branded advertising, functional connectivity in psychiatric disorders, and the role of narrative in immersive technologies. Bruni’s work bridges cognitive science, computer science, and semiotics, with applications in healthcare (e.g., pediatric counseling tools) and cultural engagement (e.g., citizen curation systems). Over 80+ publications and active participation in conferences and media discussions highlight his interdisciplinary impact.

• Narrative Cognition
• Extended Reality
• Cognitive Processes
• +۶ مورد دیگر

Dr. Danielle Douglas is a Lecturer in Social Care at the Department of Social Care and Early Childhood, School of Humanities, South East Technology University (SETU), a position she has held since 2008. She is actively involved in teaching, research, and national policy engagement, with a focus on vulnerable and care-experienced young people. She is also the general editor of the Irish Journal of Applied Social Studies (IJASS) and a member of Tusla's Research Advisory Group. Education: PhD in Children and Youth Studies, University College Dublin (2021) MA by Research in Resilience, Outcomes and Foster Care, SETU (2012) BA (Hons) in Applied Social Studies in Social Care, SETU (2008) Her research centers on marginalized groups, particularly children and young people in alternative care, with interests in children's geographies, identity, selfhood, and stigma. She employs creative methodologies such as photomethodology and narrative inquiry to explore the lived experiences of care-experienced youth. Her work often emphasizes socio-spatial dynamics, figured worlds, and emotional ecologies within foster care settings. The available publications highlight a strong thematic focus on foster care in Ireland, resilience, qualitative and mixed-methods research, and professional standards in social care. Her recent doctoral thesis explores the everyday spatial and identity experiences of children in foster care, while her book chapter contributes to national social care proficiency standards. Notable professional roles include: President, International Foster Care Organisation (2017–2020) Founding member, Power4Youth (European peer support network) Research Advisory Group Member, Tusla - Child and Family Agency (since 2016) Editor, Irish Journal of Applied Social Studies (since 2022) Dr. Douglas is committed to equality, diversity, and inclusion in education and practice. She completed a Digital Badge in Universal Design for Teaching and Learning in 2021 and emphasizes a student-centered, safe learning environment. She supervises thesis projects and placement students and is currently accepting PhD candidates. Her advisory work extends to training for foster carers, social workers, and care-experienced young people at national and international levels. She is affiliated with the Analysing Social Change Research Group at SETU and has contributed to quality assurance frameworks for foster carer assessment in Ireland.

• Social Care
• Foster Care
• Children and Youth Studies
• +۷ مورد دیگر

Dr. Nagham Saeed is an Associate Professor in Electrical and Electronic Engineering at the School of Computing and Engineering, University of West London, where she has been actively engaged in teaching and research since 2007. She holds a PhD in Intelligent MANET Optimisation from Brunel University and leads the Industrial Internet of Things (IIoT) research group. Her academic service includes editorial and technical committee roles for IEEE and MDPI, and she is a Chartered Engineer (CEng), Senior Member of IEEE, Member of IET, and Senior Fellow of the Higher Education Academy (HEA). PhD in Intelligent MANET Optimisation System, Brunel University (2011) Her research focuses on intelligent systems for smart cities, applying artificial intelligence to telecommunications, energy modeling, and industrial applications. She explores AI-driven optimization in next-generation networks, smart grid integration, battery management systems, and sustainable ICT. Her work also extends to engineering education, particularly feedforward teaching methods and student engagement. The recent publications reveal a strong trend in applying AI and machine learning to solve real-world challenges in energy systems, IoT, transportation, and environmental sustainability, often with a focus on smart cities and renewable integration. Dr. Saeed has been recognized with several awards, including: 2021 University of West London Student Union Best Supervisor/Tutor Award 2022 IEEE Region 8 Outstanding Women in Engineering Section Volunteer Award She mentors early-career engineers and academics and actively promotes electrical and electronic engineering among young girls. She has served as the 2023 IEEE Women in Engineering UK & Ireland Chair and is currently the Vice Chair (Chair-Elect) for the IEEE UK & Ireland Section (2024–2025). Her leadership spans technical innovation, academic service, and diversity advocacy in engineering. She teaches across a range of programs, including MSc Industrial Internet of Things, BEng and MSc Electrical and Electronic Engineering, and supervises PhD research in related fields.

• Electrical and Electronic Engineering
• Industrial Internet of Things (IIoT)
• Artificial Intelligence in Engineering
• +۹ مورد دیگر

Patrick Gaudreau is a Full Professor in the School of Psychology at the University of Ottawa, where he specializes in social and personality psychology. His research focuses on the determinants and consequences of achievement in educational, sport, and artistic domains, particularly through the lens of his Model of Excellencism and Perfectionism (MEP). The MEP distinguishes between healthy pursuit of excellence and harmful perfectionism, emphasizing how these motivations affect performance, psychological adjustment, and social behaviors. Gaudreau's work highlights the benefits of excellencism, such as reduced distress and ethical attitudes compared to perfectionism. He also investigates motivational dynamics, coping strategies, and the impact of digital devices on learning. Education: Ph.D. in Psychology, Université de Montréal (2004) M.Sc. in Psychology, Université de Montréal (2000) B.Sc. in Psychology, Université de Montréal (1999) Research Interests: Perfectionism vs. excellencism, achievement goals, self-determination theory, performance anxiety, sport psychology, health psychology, and quantitative methods. His laboratory, LAMRA (Laboratory for Research on Achievement, Motivation, and the Regulation of Action), explores interactionist perspectives on how social environments and individual traits shape achievement outcomes. Recent Articles: Recent work examines psychological needs in the context of excellencism, perfectionism's impact on social disconnection, and the motivational roles of fear of failure. His findings advocate for interventions to transform perfectionism into excellencism to enhance both performance and well-being. Awards: None explicitly listed, but recognized as editor of Anxiety, Stress, and Coping and for over 100 scientific publications. Active in applied settings, including coaching youth baseball and advising on athlete well-being. Advising & Grants: Supervises numerous graduate students and collaborates on grants focusing on perfectionism, excellencism, and motivational interventions. His research has been supported by studies on procrastination, academic transitions, and the psychological effects of sport participation. Labs/Teams: Leads the LAMRA, a multidisciplinary team investigating achievement-related processes. Engaged with the Student-athlete Well-being and Achievement Project (SWAP), examining sport and academic outcomes for student-athletes.

• Social Psychology
• Personality Psychology
• Perfectionism
• +۷ مورد دیگر

Jiří Muryc is a researcher at the Department of Slavonic Studies, Faculty of Arts, University of Ostrava. He specializes in Polish-Czech language contact, bilingualism, and sociolinguistic dynamics of the Czech-Polish borderlands. His work spans translation studies, orthographic interference, and linguistic landscapes. Position: Head of Department International Affiliation: Collaborated with Vytautas Magnus University, University of Wrocław, and other institutions His research focuses on multilingual environments, Polish language visibility in Czech public spaces, and cross-border language policy. He explores code-switching, hybrid lects, and ethnolinguistic identity in bilingual communities. Muryc's publications analyze Polish-Czech legal terminology, phraseological dictionaries, and translation challenges between typologically close languages. He emphasizes practical applications in interpreter training and digital language platforms like Polski.info . He supervises theses on topics ranging from Polish literature in Czech translations to Czech-Polish business phraseology and UNESCO heritage linguistics. His projects include Erasmus+ initiatives for Polish language e-learning and sociolinguistic studies of Zaolzie.

• Slavic Studies
• Bilingualism
• Language Contact
• +۴ مورد دیگر

Dr. Grigorios Lamprinakos is an Assistant Professor in the Department of Marketing at the University of Birmingham's Birmingham Business School. He holds a dual PhD in Marketing from Athens University of Economics and Business and in Psychology from Universidad Autónoma de Madrid, and his interdisciplinary research bridges cognitive science and marketing. He is affiliated with the Centre for Responsible Business and international research groups including the Group for Attitudes and Persuasion (GAP) at Ohio State University and the International Group for Attitudes and Persuasion (GAPI) at Universidad Autónoma de Madrid. BSc in Business Administration, Piraeus University of Applied Sciences (2001–2006) MSc in Marketing and Communication, Athens University of Economics and Business (2010–2012) Dual PhD in Marketing and Psychology, Athens University of Economics and Business & Universidad Autónoma de Madrid (2014–2019) His research centers on the cognitive and metacognitive mechanisms that drive attitudinal and behavioral change, particularly in the domains of sustainable consumption, socially responsible behavior, and ethical/unethical consumer practices. He investigates how thought validation, power dynamics, and emotional cues influence decision-making in both individual and organizational contexts. His work integrates theories from social psychology, consumer behavior, and behavioral economics to explore how individuals process information and form attitudes. The recent publications of Dr. Lamprinakos reflect a strong trend in interdisciplinary research combining marketing, psychology, and sustainability. His articles explore topics such as green gamification, CEO celebrity ethics, vocal persuasion cues, and digital transformation in SMEs, demonstrating a consistent focus on the psychological underpinnings of consumer and managerial behavior. His research frequently appears in top-tier journals including the Journal of Personality and Social Psychology , Journal of Experimental Social Psychology , and Journal of Business Research . Dr. Lamprinakos has been involved in privately funded research projects and has presented his work at leading international conferences such as EMAC, SPSP, ACR, and AMA. He serves as an ad-hoc reviewer for multiple academic journals, contributing to the scholarly community's peer-review process. He currently supervises PhD and MBA students and has held teaching positions at Oxford Brookes University and the University of Derby. His teaching philosophy emphasizes interactive, research-led pedagogy that connects theory with real-world applications, covering subjects such as Marketing Research, Marketing Management, and Consumer Behavior across undergraduate, postgraduate, and doctoral levels. He has extensive experience in curriculum development and hybrid/online module delivery, fostering inclusive and globally aware learning environments.

• Cognitive Psychology
• Consumer Behavior
• Sustainable Consumption
• +۷ مورد دیگر

Dr. Mike Seymour is a Senior Lecturer at the University of Sydney Business School, specializing in Human-Computer Interaction (HCI), Digital Humans, and AI ethics. He holds a BSc, MBA, and PhD from the University of Sydney. His research focuses on photorealistic digital faces for immersive interfaces, blockchain socio-technical systems, and agile project management in creative industries. Dr. Seymour is a member of the Sydney Nano Institute and leads the Motus Lab. He has published in top journals like *Harvard Business Review*, *Communications of the ACM*, and *Information Systems Research*. His current projects include ARC-funded research on digital humans for anti-racism initiatives and adaptive AI for brain injury patients. He has received awards such as the SOAR Prize and ECR Researcher of the Year. His teaching spans CX, UX, and project management courses (e.g., INFS2040, INFS3080). Media engagements include ABC News, Sky News, and *The Australian Financial Review* for commentary on AI ethics and film industry trends. Education: BSc (University of Sydney) MBA (University of Sydney) PhD (University of Sydney) Research Themes: Real-time photorealistic avatars Deepfake ethics Agile methodologies in VFX Grants: A$450K ARC DP25 grant for anti-racism digital humans Earned $200K in industry partnerships (e.g., Epic Games) Labs/Teams: Leads the Motus Lab and collaborates with the Digital Human Research Group.

• Human-Computer Interaction (HCI)
• Artificial Intelligence
• Digital Humans
• +۴ مورد دیگر

Federico Becattini is a Tenure-Track Assistant Professor at the Department of Information Engineering and Mathematics (DIISM), University of Siena, Italy. He is an active member of the Siena Artificial Intelligence Lab (SAILab), where he contributes to cutting-edge research in computer vision, deep learning, and artificial intelligence. His work spans multiple interdisciplinary domains, including autonomous driving, human behavior understanding, cultural heritage, neuromorphic vision, and fashion recommendation. His research interests center on memory-based neural networks , which he has applied in numerous publications at top-tier venues such as CVPR, ECCV, IEEE TPAMI, and ACM TOMM. He has also delivered tutorials on this topic at international conferences including ICIAP 2022 and ACM MM 2022, and taught a Ph.D. course at the University of Florence. His recent work is aligned with the Collectionless AI paradigm, which emphasizes continual learning and interaction with dynamic environments. The recent publications highlight a strong trend in human-centric AI , focusing on understanding people through multimodal analysis of face, body, and clothing, as well as generating 3D virtual avatars. There is also a clear emphasis on memory-augmented architectures for temporal reasoning, explainability, and adaptive learning. His editorial role as Associate Editor of the International Journal of Multimedia Information Retrieval further underscores his standing in the research community. Associate Editor, International Journal of Multimedia Information Retrieval (IJMIR) Organizer, Workshop on Facial and Body Expressions (ICPR2020) Co-organizer, T-CAP Workshop (ICIAP2021, ICPR2022) Co-organizer, MCFR Workshop (ACM MM 2022) Co-organizer, WCPA Workshop and Challenge (ECCV 2022) Federico Becattini actively advises students and researchers within SAILab, particularly in the context of Ph.D. theses and research projects related to Collectionless AI and memory-based models. While specific grants are not mentioned, his extensive publication record and leadership in workshops and editorial roles suggest involvement in funded research initiatives. He collaborates with both academic and international research communities, serving as a reviewer for top-tier conferences and journals. He is a core member of the SAILab research group, which is pioneering the Collectionless AI initiative—a framework for continual learning over time, interacting with humans and agents without relying on pre-built static datasets. This lab serves as a hub for innovation in adaptive and sustainable AI systems.

• Computer Vision
• Deep Learning
• Artificial Intelligence
• +۷ مورد دیگر

Professor Chen Xiaodong is a Distinguished University Professor at Nanyang Technological University (NTU), Singapore, holding primary appointment in the School of Materials Science & Engineering with courtesy appointments in the Lee Kong Chian School of Medicine and School of Chemistry, Chemical Engineering and Biotechnology. He serves as Deputy Director of the Institute for Digital Molecular Analytics and Science (IDMxS) and Director of both the Innovative Centre for Flexible Devices (iFlex) and Max Planck-NTU Joint Lab for Artificial Senses. His research spans mechanomaterials science and engineering, flexible electronics, sense digitalization, cyber-human interfaces and systems, and carbon-negative technology. Professor Chen's work focuses on developing methods for controlling materials architecture at 1-100 nm scale to solve fundamental and applied problems in energy, environment, and healthcare. His group integrates expertise from materials science, chemistry, biology, physics, and engineering to create innovative solutions. His scientific contributions have been recognized through numerous prestigious awards including the Singapore President's Science Award, National Research Foundation Investigatorship and Fellowship, Friedrich Wilhelm Bessel Research Award, Dan Maydan Prize in Nanoscience and Nanotechnology, and election to multiple national academies including Singapore National Academy of Science, Academy of Engineering Singapore, and German National Academy of Sciences Leopoldina. Professor Chen serves as Editor-in-Chief of ACS Nano and sits on editorial boards of numerous prestigious journals including Advanced Materials, Chemical Reviews, and Matter. He has mentored numerous PhD students and research fellows who have gone on to faculty positions at institutions worldwide. His laboratory develops cutting-edge technologies in flexible electronics, bio-inspired materials, and nano-bio interfaces, with strong industry collaborations and translational research focus.

• Materials Science
• Flexible Electronics
• Nanotechnology
• +۵ مورد دیگر

Philip Anderson is an Assistant Professor at the University of Birmingham Dubai within the School of Education. He holds a PhD in progress at Durham University and has extensive experience in both secondary and higher education, with leadership roles in curriculum and dissertation programs. PGCertHE, Middlesex University Dubai, 2021 MA Applied Professional Studies in Education, University of Sheffield, 2018 PGCE (Secondary Music), University of East London, 2012 BA Communication Studies, Sheffield Hallam University, 2001 His research focuses on music education, particularly primary teacher confidence in delivering classroom music. He explores the integration of creativity and the arts in learning, alongside technology adoption in higher education. A key interest is the impact of generative AI on educational content, especially regarding gender and racial representation. His work also examines hybrid learning environments and student information-seeking behaviors. His recent publications span from 2022 to 2025 and reveal a strong trend toward educational technology, equity in AI-generated imagery, and pedagogical innovation in transnational contexts. His research combines action research methodologies with behavioral theories to understand teacher and student experiences in evolving educational landscapes. Philip is a Fellow of the Higher Education Academy and actively contributes to the research committee at the University of Birmingham Dubai. He has led the Masters Dissertation Programme and served in academic coordination roles, indicating strong engagement in academic leadership and student supervision. He has not been mentioned as receiving any scientific awards or prizes in the provided text. He advises master’s students and has led dissertation modules, contributing to graduate education. While specific grants are not listed, his active research output suggests involvement in funded or institutional research initiatives. His work bridges practical classroom insights with scholarly inquiry, especially in the UAE’s higher education context. He is part of the research committee at the University of Birmingham Dubai, contributing to institutional research governance and academic development. His role reflects engagement with a broader educational research team focused on innovation and improvement in transnational education settings.

• Music Education
• Teacher Confidence in Classroom Music Delivery
• Creativity and Arts Learning
• +۱۱ مورد دیگر

Dr. Panagiotis Andriotis is a Lecturer in Computer Science at the School of Computer Science, University of Birmingham, within the College of Engineering and Physical Sciences. He is also a GIAC Certified Forensic Examiner (GCFE, GASF) and a Senior Fellow of the Higher Education Academy (SFHEA). His interdisciplinary research spans Cyber Security, Human Factors, and Mobile and Ubiquitous Computing. He teaches courses in Computer Science, Cyber Security, and Digital Forensics. His educational background includes a PhD in Computer Science from the University of Bristol (2016), an MSc with Distinction in Computer Science from the same institution (2011), and a BSc in Mathematics from the National and Kapodistrian University of Athens (2004). Dr. Andriotis’s research interests focus on user-centered security, particularly in mobile environments. He investigates how users interact with Android’s permission systems, develops novel authentication mechanisms like Bu-Dash, and explores adversarial machine learning in cybersecurity. His work bridges technical and human aspects, aiming to improve both system robustness and user experience. His recent publications reflect a strong trend in adversarial machine learning, mobile malware detection, usable privacy, and the societal implications of AI in education. He has contributed to high-impact journals such as IEEE Transactions on Cybernetics, ACM Transactions on Privacy and Security, and Elsevier’s Journal of Information Security and Applications. Best Paper Award at HCI International 2020 Impact Award, UWE Bristol Student Union GIAC Certified Forensic Examiner (GCFE) GIAC Advanced Smartphone Forensics (GASF) SANS Lethal Forensicator Coin Dr. Andriotis has advised PhD students, including Andrew McCarthy, and has been involved in funded research projects such as those related to fuzzing, software security, and critical infrastructure protection in collaboration with Airbus. He has served as an External Examiner at Cardiff Metropolitan University and is currently on the editorial boards of Digital Threats: Research and Practice (ACM) and the Journal of Responsible Technology (Elsevier). He has held visiting roles at the National Institute of Informatics in Tokyo, including as a JSPS Fellow and Toshiba Fellow. He leads research in digital forensics and security, with a lab focus on mobile ecosystems, behavioral modeling, and AI-driven threat detection. His team explores both technical and human dimensions of cybersecurity, contributing to tools and frameworks that enhance mobile security and user awareness.

• Cyber Security
• Human Factors in Security
• Mobile and Ubiquitous Computing
• +۷ مورد دیگر

Bruce Stephen is a Senior Lecturer and Strathclyde Chancellor's Fellow in the Department of Electronic and Electrical Engineering at the University of Strathclyde, where he has been since 1999. His work lies at the intersection of data science and power systems engineering, with a strong focus on real-world industrial applications. His educational background includes a BSc in Aeronautical Engineering from the University of Glasgow (1997), an MSc from the University of Strathclyde (1998), and a PhD in Electronic and Electrical Engineering (2005) from the University of Strathclyde. Dr. Stephen's research centers on data-driven methodologies for solving complex engineering challenges in power systems, particularly under conditions of limited data or domain knowledge. His applications span the entire energy value chain—from generation (nuclear, wind, solar) to transmission, distribution, and end-use. He develops software solutions for condition assessment, anomaly detection, and predictive modeling to support asset management and future grid planning. Notably, he co-founded Silent Herdsman Ltd, a spin-out company applying intelligent systems to precision livestock farming. His recent publications highlight a strong trend toward advanced machine learning techniques such as transfer learning, surrogate modeling, and synthetic data generation (e.g., using CTGANs) to improve reliability and decision-making in power systems. These works emphasize explainability, uncertainty quantification, and scalability, particularly in renewable-rich and data-scarce environments. Dr. Stephen is currently the Principal Investigator on the EPSRC-funded Analytical Middleware for Informed Distribution Networks (AMIDiNe) project, aiming to identify barriers to Net Zero through improved data modeling of unmonitored networks. He has also contributed to major projects including EU FP7 ORIGIN, EPSRC APAtSCHE, AGILE, and Transactive Energy Supply Arrangements. He actively advises students and collaborates on interdisciplinary research. His professional activities include organizing the QFF Quarterly Forecasting Forum (2018) and delivering invited talks at industry workshops. He has supervised datasets and research involving structural health monitoring and industrial diagnostics. His work supports UN Sustainable Development Goals related to affordable and clean energy, industry innovation, and climate action.

• Data-Driven Methods
• Power Systems
• Smart Grids
• +۱۲ مورد دیگر