جستجوی استاد راهنمای دانشگاهی

Henry H. Willisمشاهده پروفایل

استاد

• Risk Analysis and Management
• Homeland Security
• Critical Infrastructure Protection
• +۱۳ مورد دیگر

Henry H. Willis is Associate Director of the Meselson Center, Senior Policy Researcher at RAND, and Professor of Policy Analysis at the RAND School of Public Policy. His work focuses on reducing risks from biological threats, critical infrastructure, climate change, and terrorism through rigorous policy analysis and risk management frameworks. Ph.D. in Engineering and Public Policy, Carnegie Mellon University M.S. in Environmental Engineering, University of Cincinnati B.A. in Chemistry, University of Pennsylvania Willis is a leading expert in risk analysis, with research spanning biosecurity, homeland security, energy security, environmental management, and public health preparedness. His work integrates engineering, policy, and systems thinking to evaluate national preparedness for chemical, biological, nuclear, and radiological threats, as well as climate and disaster risks. He has developed analytical frameworks for biosurveillance, infrastructure resilience, and terrorism risk modeling. His recent publications focus on catastrophic cyber risk insurance, wastewater surveillance sustainability, food-energy-water security, soft target protection, and risk-based decisionmaking in public health and homeland security. These works reflect a consistent theme of applying quantitative risk analysis to inform national and international policy. Member, Council on Foreign Relations Committee Member, Science and Governance Committees of the Society for Risk Analysis Willis has testified before Congress, advised U.S. and international government agencies, and served on National Academy of Sciences committees. His prior experience includes program evaluation at the White House Office of Management and Budget and infrastructure design as a water and wastewater engineer. He leads research initiatives on strategic planning at DHS, border security, and energy resilience, often advising on grant programs and regulatory impact analysis. He is affiliated with the Meselson Center and has directed programs within the RAND Homeland Security Research Division, including the Strategy, Policy, and Operations Program and the Infrastructure, Immigration, and Security Operations Program. His work supports public safety decisionmaking through tools like the Pardee RAND Food-Energy-Water Index and risk maturity assessments.

Anastasia Gousetiمشاهده پروفایل

مدرس ارشد

• Digital Education
• Critical Digital Literacies
• School Platformisation
• +۴ مورد دیگر

Anastasia Gouseti is a Senior Lecturer in Digital Education at the School of Education, University of Hull. Her work focuses on critical digital literacies, school platformisation, and digital technology ethics in educational contexts. Research Interests: Critical digital literacies School platformisation Digital inequalities and exclusion AI use in schools Scientific Contributions: PI for BA/Leverhulme and British Council funded projects Developed the DETECT Critical Digital Literacies framework Recipient of 2018 Higher Education Academy Fellowship Academic Leadership: PhD supervision in digital education topics Teaching modules: Extended Research Project, The Digital Educator, Education Change Maker

Bradley J. Ericksonمشاهده پروفایل

استاد

• Quantitative Imaging
• Computer-Aided Diagnosis
• Deep Learning
• +۳ مورد دیگر

Bradley J. Erickson, M.D., Ph.D. Bradley J. Erickson is a Professor of Radiology and Consultant at the Mayo Clinic in Rochester, Minnesota. He holds a joint appointment in the Division of Biomedical Statistics and Informatics. His research focuses on quantitative imaging, computer-aided diagnosis, and deep learning applications in medical imaging. He has pioneered systems for team science integration across imaging, genomics, and clinical data. Education MD/PhD in Biophysics/Biomedical Engineering, Mayo Graduate School Residency in Diagnostic Radiology, Mayo Clinic Research Interests Erickson's work emphasizes extracting diagnostic and prognostic information from medical images using machine learning and AI. Key areas include: Polycystic Kidney Disease (PKD) progression analysis via imaging Development of explainable AI models for cancer diagnosis (e.g., hepatocellular carcinoma) Privacy-preserving LLMs for echocardiography reports Awards & Recognition Team Science Award, Mayo Clinic (2020) Samuel J. Dwyer III, Ph.D., FSIIM Memorial Lectureship (2013) Chair, American Board of Imaging Informatics (2013–2018) Grants & Projects Principal Investigator for NIH-funded projects on synthetic medical images in AI fairness (2024–2025) Mayo Translational PKD Center (2010–2020) Objective decision support for clinical trials (2012–2015) Labs & Affiliations He leads the Imaging and Analysis Core within the Mayo Clinic Pirnie Translational PKD Center. Collaborates with teams in computational biology, radiology informatics, and clinical trials.

Ben Matthewsمشاهده پروفایل

دانشیار

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

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

Sharib Aliمشاهده پروفایل

استادیار

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

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

Katharine G. Abrahamمشاهده پروفایل

استاد

• Labor Economics
• Economic Statistics
• Gig Economy
• +۳ مورد دیگر

Katharine G. Abraham is a Distinguished University Professor of Economics at the University of Maryland, College Park, with affiliations in the Department of Survey Methodology. She serves as Director of the Maryland Center for Economics and Policy and is a Research Associate at the National Bureau of Economic Research (NBER). Her career includes leadership roles as Commissioner of the Bureau of Labor Statistics (1993-2001) and member of the President’s Council of Economic Advisers (2011-2013). Ph.D. in Economics, Harvard University (1982) B.S. in Economics (with minor in Statistics), Iowa State University (1976) Research Focus : Labor economics, economic measurement, and policy analysis. Key areas include gig economy dynamics, retirement decisions, health insurance impacts, labor force participation trends, and improving economic data systems. Her work bridges theoretical analysis with practical survey methodology improvements. Recent projects examine mobile device data for onsite work analysis, self-employment patterns among older workers, and labor market effects of policy changes. She contributes to measuring human capital and addressing survey nonresponse biases. Scientific Recognition : Member, National Academy of Sciences Member, American Academy of Arts and Sciences Distinguished Fellow, American Economic Association Fellow, American Statistical Association and IZA Institute Policy Impact : Chair of the Commission on Evidence-Based Policymaking (2016-2017), which shaped the Foundations for Evidence-Based Policymaking Act (2018). Currently serves on advisory committees for the Congressional Budget Office, Bureau of Economic Analysis, and Federal Reserve Bank of Chicago.

• Cloud Computing
• Peer-to-Peer Systems
• Distributed Networks
• +۱۲ مورد دیگر

Felix Urs Erich Freitag is an Associate Professor in the Department of Computer Architecture at the Barcelona School of Informatics (FIB), Universitat Politècnica de Catalunya (UPC). He is a key member of the CNDS - Computer Networks and Distributed Systems research group, where he actively contributes to projects in cloud computing, peer-to-peer systems, and IoT networking. His primary research interests include Cloud Computing , Peer-to-Peer (P2P) Systems , Internet of Things (IoT) , LoRa Mesh Networks , Federated Learning , Edge Computing , and Blockchain for IoT . His work spans from fundamental networking protocols to applied research on decentralized systems and sustainable digital technologies. He has also contributed to educational innovation through open project-based learning methodologies. Dr. Freitag's recent publications highlight a strong focus on integrating AI with low-power IoT networks, particularly using LoRa technology for federated learning and secure, decentralized identity solutions. His work demonstrates a clear trend towards enabling intelligent, trustworthy, and resource-efficient distributed systems at the network edge. Scientific Awards: 1er Premi UPC de Ciència Oberta 2024 He has been involved in significant research and innovation projects, including European H2020 and Horizon Europe initiatives, often in collaboration with colleagues like Leandro Navarro and Roque Meseguer. His research is supported by competitive grants focused on digital, industry, and space technologies. He also contributes to educational innovation projects and has supervised student theses, fostering a collaborative research environment within the UPC. His work is associated with the development of experimental testbeds and software libraries for LoRa mesh networks and federated learning, indicating a hands-on approach to building and validating distributed systems.

Marianne Touchieمشاهده پروفایل

دانشیار

• Building Science
• Sustainable Buildings
• Indoor Environmental Quality
• +۵ مورد دیگر

Dr. Marianne Touchie is an Associate Professor jointly appointed in the Departments of Civil & Mineral Engineering and Mechanical & Industrial Engineering at the University of Toronto. She serves as Director of the Building Energy and Indoor Environment Lab and holds the Canada Research Chair in Sustainable Urban Housing. Dr. Touchie earned her BASc (2009) and PhD (2014) in Civil Engineering from the University of Toronto, with postdoctoral work at Toronto Atmospheric Fund. Research Focus: Her interdisciplinary program centers on optimizing building performance through energy-efficient retrofits that enhance indoor environmental quality. Key areas include: HVAC system optimization and ventilation efficacy in high-rises Thermal/acoustic comfort and occupant well-being metrics Lifecycle analysis of sustainable housing forms Climate-resilient building codes and policy frameworks Publications: Her recent work (2023-2025) demonstrates strong emphasis on field-based validation of retrofit strategies, climate adaptation in building codes, and holistic assessment of housing sustainability. Dominant themes include multi-unit residential building (MURB) performance, co-benefits quantification of retrofits, and occupant-centered design. Awards & Honors: McCharles Prize for Early Career Research Distinction (2022) Early Career Teaching Award (2022) ASHRAE New Investigator Award (2018) OBEC Rising Star Award (2021) Clean 50 – Canada (2020) Leadership: She leads 15+ projects with industry/government partners (e.g., Toronto Community Housing), supervises 40+ graduate students, and serves as President of the Building Science Specialist Board of Canada. Her lab develops novel assessment tools like Photovoice and CONTAM simulations for retrofit validation.

Rosario Giustolisiمشاهده پروفایل

دانشیار

• Computer Security
• Cryptographic Protocols
• Decision Systems
• +۷ مورد دیگر

Dr. Rosario Giustolisi is an Associate Professor in the Department of Computer Science at the IT University of Copenhagen . His research centers on computer security with a focus on cryptographic protocols for decision systems (e.g., voting and exams), automated security analysis, accountability frameworks, and sociotechnical security aspects. Before joining ITU, he held postdoctoral roles at SICS RISE and Lund University, Sweden, and earned his PhD from the University of Luxembourg with work on secure exam protocols, culminating in his book Modelling and Verification of Secure Exams (Springer, 2018). Research Trends: His 15 most recent articles (2016–2025) span cryptographic protocol design, coercion-resistant voting/exams, zk-SNARK applications, differential privacy, automated security analysis, and sociotechnical threat modeling. Key subfields include secure decision systems, privacy-preserving mechanisms, and formal verification. Scientific Awards: Best Paper Award, NordSec 2017 Best Paper Award, SECRYPT 2014 Villum Experiment Grant (Sole PI) 2020 ICT TNG Postdoc Grant (Sole PI) 2016 CSC Best PhD Thesis Award 2016 Acknowledgments from Apple for Security Advisory Professional Service: Organized cybersecurity breakfast talks at ITU and served on conference committees for ACM SAC (Security track), STAST, E-VOTE ID, and NordSec. He also contributed as a journal referee and sub-reviewer for multiple conferences.

Darren Mundyمشاهده پروفایل

استاد

• Educational Technology
• Social media
• eGovernment communications and web-based channel shift
• +۹ مورد دیگر

Darren Mundy is Professor and Dean of the Faculty of Arts, Cultures and Education at the University of Hull, where he has been a faculty member since 2003. He has previously served as Head of School, Associate Principal, and Associate Dean, demonstrating sustained academic leadership. His work is centered in the Department of Screen within the Faculty of Arts, Cultures and Education. University: University of Hull School: Faculty of Arts, Cultures and Education Department: Screen Role: Dean and Professor Darren Mundy’s research focuses on the transformative role of technology in education and digital society. His early work explored engagement-enhancing technologies such as The Wild Thing and PAM-PAM, evolved into designing learning environments through the Euroversity project, and has matured into advancing critical digital literacies via the DETECT project. His interdisciplinary interests span educational technology, social media, eGovernment, information security, privacy, and eHealth. He has played a foundational role in establishing the Games Design program at Hull and has taught across web design, games art, and development for two decades. His recent publications reflect a strong trend in digital representation, technology acceptance models, and digital transformation, particularly in educational and governmental contexts. Articles such as 'An Analysis of Middle Eastern Female Athletes Visual Self-Presentation Strategies on Instagram' and 'Critical digital literacies at school level: A systematic review' highlight his focus on equity, representation, and critical engagement in digital spaces. His work often involves international collaboration and EU-funded initiatives. Darren has received recognition through multiple external examiner roles at institutions including the University of Bedfordshire, Coventry University, Ulster University, and the University of Bolton, underscoring his academic standing. He has led externally funded projects such as 'Who moved my block?' (AHRC) and 'DETECT' (European Commission), demonstrating his ability to secure research support. He has supervised over a dozen postgraduate students to completion, including eight PhDs and four MSc by Research students, and currently supervises a part-time PhD candidate exploring mixed reality applications for dementia care. His advisory work emphasizes real-world impact in technology-enabled learning and digital inclusion. Darren is also co-manager of the EU-funded Euroversity Network, promoting transnational educational collaboration. His leadership extends beyond research and teaching into institutional development and international academic service, making him a key figure in shaping digital education policy and practice.

Richard Marggraf Turleyمشاهده پروفایل

استاد

• Romantic Literature
• John Keats Studies
• Barry Cornwall Studies
• +۶ مورد دیگر

Richard Marggraf Turley holds a Personal Chair as Professor in the Department of English & Creative Writing at Aberystwyth University, where he has been an active faculty member since 1994. He teaches undergraduate and postgraduate modules including Romantic Eroticism (EN38320), Literatures of Surveillance (EN35320), and Romanticism's Radical Cultures (ENM2540), while supervising PhD candidates in both Literary Studies and Creative Writing. Educated with a BA and PhD from the University of Leeds, his scholarly foundation in Romantic literature informs his dual career as critic and creative writer. His academic profile shows continuous research output since 1994 with 61 publications, including books on Keats, food studies, and creative writing pedagogy. Turley's research centers on Romantic-era poetry with pioneering work on literary topology, food representation, and surveillance theory. He has authored Keats's Boyish Imagination (2004), Bright Stars: John Keats, Barry Cornwall and Romantic Literary Culture (2009), and co-written Food and the Literary Imagination (2014). His forthcoming 2026 monograph Fantastic Shapes: Topology and Textuality in Romantic Poetry extends his spatial analysis of Romantic texts. As an award-winning poet, he published the Wales Book of the Year-winning collection Wan Hu's Flying Chair (2009) and the crime novel The Cunning House (2015), demonstrating his commitment to creative practice. Analysis of his 15 most recent publications reveals persistent engagement with Keatsian studies while expanding into interdisciplinary terrain. His work increasingly intersects with sustainability (via food/watermill projects), biometrics (The Quantified Romantics), and digital surveillance, showing how Romantic poetry offers frameworks for contemporary crises. The recurring focus on spatial theory across 2018-2023 outputs demonstrates his unique topology approach. His scientific awards reflect both scholarly and creative excellence: Keats-Shelley Prize for Poetry (First Prize, 2008) Wales Book of the Year 'People's Choice' Award (2010) for Wan Hu's Flying Chair ASLE/Inspire UKI Prize Essay (First Prize, 2013) shared with Archer and Thomas Turley supervises PhD students in Literary Studies and Creative Writing with 10 supervised works recorded. His grant capture includes externally funded projects like 'The Quantified Romantics: Arts and Biometrics' (2015, Arts and Humanities Research Council) exploring biometric analysis of Romantic poetry, and 'Edible Wales: Sustenance and locality' (2014, Creative Exchange Wales Network) investigating food sustainability through literary lenses. These grants demonstrate his successful bridging of humanities with scientific and social contexts. As Co-Director of the Keats Foundation International Keats Conference, he leads a major scholarly initiative, organizing annual conferences through 2025. His collaborative Arts-Science projects include BBC appearances and cross-disciplinary work with biometric researchers, while his role in the 'Supervised Work (10)' metric confirms active mentorship. Public engagement via 12 press/media contributions (including Netflix adaptation commentary) shows his commitment to translating academic work for broader audiences.

• Data Stream Management
• Real-time Data Analytics
• Data Quality
• +۷ مورد دیگر

Sandra Geisler is a Junior Professor for Data Stream Management and Analysis at the Department of Computer Science, RWTH Aachen University, a position she has held since September 2021. She is also the leader of the Digital Health Spaces group at the Fraunhofer Institute for Applied Information Technology (FIT) in St. Augustin, reflecting her dual expertise in academic research and applied digital health solutions. Bachelor/Master: Diploma in Computer Science, RWTH Aachen University (2008) PhD: Doctoral degree in Computer Science, RWTH Aachen University (2016) Her research focuses on data stream systems, real-time analytics, data quality, and their applications in digital health and industrial processes. She has made significant contributions to ontology-based data quality management, edge computing for stream processing, and FAIR data principles. Recent work explores the integration of large language models into data management workflows and the development of privacy-preserving platforms for industrial data exchange. Her recent publications demonstrate a strong trend in distributed and edge-based stream processing, interdisciplinary applications in healthcare and supply chains, and the use of AI for data discoverability and quality. Topics include in-network computing, simulation of edge queries, self-tonometry for glaucoma, and cross-company data sharing with privacy awareness. She has served as Associate Editor for the Data & Knowledge Engineering Journal (Elsevier), Public Relation Chair for QDB Workshop (VLDB 2016), and Workshop Chair for IMMoA and HIMoA workshops. She has also edited a special issue on Information Management in Mobile Applications in the Pervasive and Mobile Computing Journal. Geisler has supervised multiple theses on topics including LLM-based ontology integration, edge anomaly detection, and data ecosystem modeling. She has been actively involved in research grants and projects related to industrial data processing, digital health, and sustainable production. She teaches courses such as Data Stream Management and Analysis and Data Ecosystems Lab. She leads the Digital Health Spaces research group at Fraunhofer FIT, focusing on innovative solutions for health data management and patient-centric digital tools. Her work bridges computer science, healthcare, and industrial applications, promoting secure, efficient, and intelligent data ecosystems.

• Human-Computer Interaction
• Ubiquitous Computing
• Virtual Reality
• +۱۲ مورد دیگر

Johannes Schöning is a Professor of Human-Computer Interaction (HCI) at the University of St. Gallen, Switzerland. He leads a research group focused on developing novel user interfaces to empower individuals and communities in data-driven decision-making. His work spans interdisciplinary domains including geographic information science, public health, medical contexts, and space exploration. His research interests include Human-Computer Interaction, Virtual and Augmented Reality, Ubiquitous Computing, Accessibility, AI in HCI, and Sustainable HCI. He employs user-centered design and mixed methods, combining AI, computer graphics, and cognitive psychology to create disruptive, theory-grounded research. His lab publishes in top venues such as ACM CHI, MobileHCI, DIS, and journals like Nature and PLOS ONE . His recent publications reveal a strong focus on VR/AR for emotional regulation, accessibility, navigation systems, privacy, and citizen participation. Trends include the use of generative AI, eco-feedback, assistive wearables, and ethical implications of large-scale navigation technologies. Best Paper Award & Accessibility Award, Interact 2019 Best Paper Award, MobileHCI 2015 (StripeMaps) Best Presentation Award, IEEE VR 2023 Honorable Mention Awards at MobileHCI, CHI, MUM, and others Vodafone Research Advancement Award, 2012 McKinsey Business Technology Award Nominee, 2011 10 Year Impact Award 2021, MobileHCI 2011 paper He actively advises students and recruits for bachelor’s, master’s, PhD, and postdoctoral positions at the intersection of HCI, geoinformatics, and ubiquitous computing. He emphasizes creating a detox-free academic environment to focus on teaching and research excellence. His lab collaborates on interdisciplinary projects involving space missions, public health, and urban technology, often involving international teams and real-world deployments. He has contributed to discussions on research culture, academic ethics, and the future of HCI conferences.

• Agent-Based Modeling
• Social Simulation
• Computational Ethics
• +۱۰ مورد دیگر

Nuno David is an Associate Professor at ISCTE - Instituto Universitário de Lisboa, affiliated with the Department of Information Science and Technology within the School of Technologies and Architecture. He is also an Integrated Researcher at DINÂMIA'CET-Iscte, focusing on socioeconomic change and territory. He serves as the Data Protection Officer at Iscte and chairs the Ethics Committee of the School of Technologies and Architecture, while also being a member of the university-wide Ethics Council. PhD in Computing, Faculty of Sciences, University of Lisbon (2005) Master's degree in Agent-Based Social Simulation, University of Lisbon Undergraduate degree in Electrical Engineering – Computer Science, University of Coimbra His research spans agent-based modeling , social simulation , computational ethics , privacy , and the philosophy of computer science , with a focus on the epistemology of computational social science. He investigates how computational methods influence social science theories and methodologies. His recent publications highlight a consistent focus on ethical dimensions of simulation, disaster response modeling (e.g., tsunami evacuation), and digital governance. Articles frequently appear in high-impact journals such as Journal of Artificial Societies and Social Simulation , AI & Society , and Geosciences , reflecting interdisciplinary engagement across computer science, social sciences, and ethics. Member, Ethics Committee, ISCTE (2020–2026) Data Protection Officer, ISCTE (since 2018) Coordinator, multiple ethics and cybersecurity courses in Master’s and Bachelor’s programs Nuno David leads and participates in significant research initiatives, including the Research Data Management Center for SSH (RDMC-SSH) and the Re.Data network , both focused on research data infrastructure. He is also involved in the EU-funded ManagiDiTH master’s program, aimed at digital transformation in healthcare. His work integrates academic research with practical policy and institutional governance, particularly in data protection and research ethics. He has contributed to multiple projects on e-government in developing contexts, especially in Mozambique, and has developed tools for analyzing academic collaboration networks. His teaching includes courses on simulation, programming, and professional ethics in computing.

Shelton Giwaمشاهده پروفایل

مدرس ارشد

• Digital Marketing
• Consumer Culture
• Pedagogy
• +۵ مورد دیگر

Shelton Giwa is a Senior Lecturer and Subject Lead in Marketing at De Montfort University, affiliated with the Leicester Castle Business School under the Faculty of Business and Law. He holds a PhD in Digital Marketing & Consumer Culture and actively contributes to teaching, research, and academic leadership. Education: PhD in Digital Marketing & Consumer Culture, De Montfort University (2018) MSc in Strategic Marketing, De Montfort University (2013) MA in Education, De Montfort University (2018) PGCert HE, De Montfort University (2017) BA (Hons) in Marketing, De Montfort University (2012) Shelton's research lies at the intersection of digital marketing, consumer culture, and pedagogy . His work explores how mobile technologies, location-based services, and social media shape consumer behavior and educational experiences. He investigates themes such as consumer privacy, mobile learning, and the rise of ‘edusumers’—students as active consumers of education. The trend in his recent publications shows a strong focus on location-based services (LBS) and mobile-enhanced learning , using qualitative methods like netnography. His research spans marketing, consumer behavior, and educational innovation, reflecting a dual expertise in both academic disciplines. Scientific Awards and Recognitions: Best MSc Student Performance (2013) Highflyers PhD Scholarship (2014) Staff Development Scholarships for PGCert HE and MA Education Two Vice-Chancellor’s Commendation Letters for Teaching Excellence (2018) Shelton is actively involved in academic service, including supervising a DBA student researching social media impact in Nigerian SMEs. He has served as an external examiner for the University of Lincoln and Staffordshire University, and as a reviewer for the Asia Pacific Journal of Marketing and Logistics . He has led a team of 36 academics in the Marketing section, demonstrating strong leadership and administrative capability. He is a member of the Academy of Marketing, Macro Marketing Society, and Chartered Institute of Marketing (CIM), and holds SFHEA and MCIM professional certifications. His work bridges research, teaching innovation, and academic leadership.