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Judith WylieView profile

Senior Lecturer

• Corporate Social Responsibility
• Corporate Governance
• Business Ethics
• +2 more

Dr Judith Wylie serves as a Senior Lecturer in Accounting within the Department of Accounting, Finance and Economics at Ulster University Business School, Belfast campus. She joined Ulster University in 2010 and holds dual expertise in accounting and law, having qualified as a Chartered Accountant with PwC where she worked in forensic accounting globally. Her educational background includes undergraduate studies in accounting and law under entrance scholarships, with a semester at the University of Newcastle, Australia. She maintains professional affiliations as a Fellow of Chartered Accountants Ireland and the Higher Education Academy. Wylie's research focuses on Corporate Social Responsibility , Corporate Governance , and Business Ethics , with particular emphasis on communication strategies in CSR reporting. Her work connects strongly with UN Sustainable Development Goals, especially in sustainable business practices and ethical governance. She has developed frameworks for CSR implementation in SMEs and examined stakeholder communication in integrated reporting. Analysis of her 15 most recent publications reveals consistent exploration of sustainability accounting, ethical business practices, and innovative educational approaches. Her work increasingly integrates technology themes, particularly in recent AI-focused sustainability research. The publications demonstrate strong methodological diversity including longitudinal case studies, SME framework development, and comparative student perspective analyses. Gen AI in Education Awards 'Team of the Year' (2025) Wylie directs the BSc Hons Business Technology degree, a Higher Level Apprenticeship Programme run in partnership with Deloitte's 'BrightStart' initiative. Her teaching includes forensic accounting, cybercrime, governance, risk management, and corporate governance. She led a team winning the Ulster University Distinguished Teaching Fellowship in 2014 for embedding employability in teaching. Her research projects include investigations into CSR communication strategies and sustainable development goal disclosures in public sector organizations.

José RouillardView profile

Lecturer

• Brain-Computer Interfaces
• Multimodal Interaction
• Mobile Application Development
• +5 more

José Rouillard is a Lecturer-Researcher in Computer Science (section 27) at Université de Lille, affiliated with the CRIStAL laboratory (Centre de Recherche en Informatique, Signal et Automatique de Lille) where he works in the Brain-Computer Interface (BCI) research team. His academic position combines teaching responsibilities with active research in human-computer interaction, particularly focusing on novel interface technologies and assistive applications. Dr. Rouillard's primary research interests center around Brain-Computer Interfaces with particular expertise in Steady-State Somatosensory-Evoked Potentials (SSSEP). His work explores multimodal interaction techniques, virtual reality integration with BCI systems, and applications for individuals with motor disabilities such as Duchenne muscular dystrophy. Recent publications (2023-2024) demonstrate continued innovation in BCI technology, including Wizard of Oz studies on user perception, advanced SSSEP recording techniques with cEEGrid systems, and multimodal cobot interaction frameworks using MQTT protocol. His research bridges theoretical neuroscience with practical applications for assistive technologies. As an educator, Dr. Rouillard has created one of the most comprehensive App Inventor 2 teaching resources available, with 76 detailed projects covering the full spectrum of mobile application development. His course materials progress from basic applications to advanced implementations involving Bluetooth communication with Arduino, Firebase database usage, and AI APIs including OpenAI's ChatGPT and DALL-E. His teaching spans multiple academic years, with documented student projects from 2013 through 2023 across various Master's programs including MMD IAE, MIAGE, and e-Services. Supervised PhD thesis: "Hybrid brain-machine interface to overcome disability caused by Duchenne muscular dystrophy" (Alban Dupres, 2016) Supervised PhD thesis: "Filtrage somesthésique pour des interfaces cerveau-ordinateur utilisant des stimulations vibro-tactiles" (Jimmy Petit, 2022) Dr. Rouillard maintains a strong educational presence through his extensive online resources, including YouTube video tutorials, NextCloud file sharing for course materials, and detailed project guides. His student projects demonstrate practical applications of mobile development across diverse domains including health monitoring, gaming, social networking, and educational tools. The breadth of his educational impact is evident in the hundreds of student applications documented from 2013-2023, showcasing his commitment to practical, hands-on learning in computer science education.

• Human-Computer Interaction
• Task Modeling
• User Interface Design
• +3 more

Sybille Caffiau serves as a Lecturer in Data Engineering at ISAE-ENSMA's School of Engineering, affiliated with the LIAS laboratory across both ENSIP (Poitiers) and ISAE-ENSMA (Chasseneuil) campuses. Her research focuses on Human-Computer Interaction with specialization in task modeling and user interface validation. Her research interests span Human-Computer Interaction , Task Modeling , and User-Centered Design . She develops and evaluates tools like K-MADe for modeling user activities, with emphasis on empirical validation of task modeling approaches. Her work bridges cognitive science principles with practical software engineering applications, particularly in educational technology and interactive system design. Analysis of her publication trends reveals consistent contributions to HCI conferences and journals since 2006, with increasing focus on tool development (notably K-MADe) and empirical validation methodologies. Her recent work demonstrates strong interdisciplinary connections between cognitive modeling, software engineering, and educational technology. No scientific awards or fellowships are documented in the available materials. While her collaborative network includes prominent researchers like Laurent Guittet and Patrick Girard, specific details about student advising or research grants are not provided in the source materials. Her thesis work (2009) established foundations for model-driven interactive application design. She operates within the LIAS laboratory's Data Engineering team, contributing to research on interactive systems and task modeling frameworks. The KMADe environment represents her primary software contribution for activity description and task modeling.

• Information Systems
• Artificial Intelligence
• Digital Economy
• +5 more

Lloy Pinedo-Tuanama is a Research Professor at Norbert Wiener Private University's School of Engineering and Business and a Researcher at the National University of San Martín's Faculty of Systems and Computer Engineering. He serves as Associate Editor for the Journal of Systems and Computer Science and coordinates the Business Digital Transformation Research Group and Smart Business Research Seedbed. His work bridges academic research with practical applications in Peru's socio-economic context. Education: Bachelor of Systems and Computer Engineering, National University of San Martín (2016-2021) Master of Science in Information Technology, National University of San Martín (2022-2024) PhD Candidate in Information and Communication Technologies Research Focus: Pinedo's interdisciplinary work integrates artificial intelligence with real-world challenges in healthcare, tourism, and education. His research in digital transformation addresses Peru's regional development needs, particularly in the Amazon region, through projects on sustainable tourism, non-invasive medical diagnostics, and educational technology. He emphasizes practical implementations of machine learning for social impact. Publication Trends: Recent publications (2023-2025) reveal a strategic focus on applied AI solutions: 40% in healthcare (anemia detection, hypertension management), 35% in tourism (visitor profiling, sustainable practices), and 25% in education systems. His work consistently applies machine learning to solve region-specific problems while advancing methodological approaches in multimodal data analysis. Scientific Recognition: RENACYT Researcher Level IV (CONCYTEC, 2022-present) PRONABEC Scholarship Holder Research Leadership: Pinedo has secured 19 grants totaling over $500,000 from institutions including PROCIENCIA and Norbert Wiener University. His projects demonstrate strong community engagement, particularly with San Martín region institutions. Current initiatives include generative AI for Amazonian community tourism, digital museum communication strategies, and sustainable tourism analytics for Peruvian travel agencies. Research Infrastructure: He directs the Business Digital Transformation Research Group at Norbert Wiener University, which operates a dedicated AI laboratory for tourism and healthcare applications. The Smart Business Research Seedbed mentors 15+ undergraduate researchers in applied AI projects, with strong industry partnerships in Peru's technology sector.