جست‌وجوی استاد و پژوهشگر

Nour-Eddine Chiadmiمشاهده پروفایل

دانشیار

• Co-creation of customer experience
• Participatory and collaborative culture
• Customer engagement
• +۵ مورد دیگر

Dr. Nour-Eddine Chiadmi serves as Associate Professor at Excelia Business School's Business School of Tourism in La Rochelle, France, where he has taught since 2008 after previously directing the institution's tourism school (2008-2009). His international career spans academic and executive roles across European, North American, Arab-African, and Asian contexts. His educational credentials include: PhD in Hotel and Tourism Management, The Hong Kong Polytechnic University (2015) Master's in Marketing, Université Paris IX Dauphine (1982) MBA, Université de Poitiers (1981) Dr. Chiadmi's research investigates co-creation of customer experiences, participatory culture in tourism, and innovation in experiential services. He examines how sensory dimensions—particularly scent and cultural elements—shape tourist engagement in destinations like Parisian perfume museums. His work bridges conceptual frameworks with managerial applications to enhance stakeholder value in contemporary tourism ecosystems. His publication portfolio reveals consistent focus on destination personality modeling, social media consumer behavior in retail tourism, and innovation typologies within tourism sectors. Recent works emphasize techno-sustainability integration in tourism offers and sensory experience co-creation, demonstrating evolving emphasis on digital transformation and cultural authenticity in destination marketing.

Anastasios Kouvelasمشاهده پروفایل

مدرس

• Traffic flow theory
• System and control theory
• Optimization
• +۱۰ مورد دیگر

Dr. Anastasios Kouvelas is a Lecturer at ETH Zurich, where he serves as head of the Road Traffic Engineering research group at the Institute of Transport Planning and Systems (IVT), Department of Civil, Environmental and Geomatic Engineering. He has held this position since August 2018, succeeding Dr. Monica Menendez who moved to New York University in Abu Dhabi. Prior to joining ETH Zurich, he was a research associate at the Urban Transport Systems Laboratory (LUTS) at EPFL (2014-2018) and a postdoctoral fellow at Partners for Advanced Transportation Technology (PATH) at the University of California, Berkeley (2012-2014). Dr. Kouvelas' research focuses on modeling, simulation, optimization and traffic flow control. His work aims to develop real-time solutions based on control theory and operations research methods. The Road Traffic Engineering group develops algorithmic solutions that are components of intelligent transportation systems used in traffic control centers. Recent technological advances in autonomous vehicles have expanded their research topics as the industry seeks efficient operational solutions for autonomous mobility. They are particularly interested in extending their work to the design of advanced management strategies for urban networks that utilize connected vehicles to improve traffic operations and develop network-wide control strategies that minimize environmental impacts. His recent publications (2023-2025) demonstrate strong focus on traffic prediction using deep learning techniques, bike lane allocation impacts on urban networks, transit network resilience against disruptions, vehicle trajectory extraction from aerial recordings, and traffic control for mixed traffic systems with connected and autonomous vehicles. His work bridges theoretical developments in control theory with practical traffic engineering challenges. Scientific Awards No specific scientific awards were mentioned in the provided information. Advising and Grants Dr. Kouvelas supervises PhD and Master's students in traffic engineering and intelligent transportation systems. His research is supported by various grants including a grant from the Hong Kong Research Grant Council (Grant No. GRF 11216323) for research on traffic speed prediction. Laboratories and Teams Dr. Kouvelas leads the multidisciplinary Road Traffic Engineering research group at IVT, which consists of researchers with backgrounds in civil engineering, electrical engineering, mechanical engineering, computer science, control, and operations research. The group's work spans multiple areas including traffic flow theory, traffic operations, connected and automated vehicles, and intelligent transportation systems.

• Data visualisation
• Visual Analytics
• Information Visualisation
• +۴ مورد دیگر

Christy Jie Liang is an Associate Professor at the School of Computer Science, University of Technology Sydney (UTS), where she leads the Data Visualisation Research Lab in the Visualisation Institute. With extensive experience in both academic and industry settings, including appointments at IBM and Peking University, she has established herself as a leading researcher in data visualization and visual analytics. Dr. Liang earned her PhD in Data Visual Analytics from UTS, where she was awarded the University Medal with First Class Honours. Her educational background includes a Bachelor of Information Technology (First Class Honours) also from UTS. Professor Liang's research focuses on data visualization and visual analytics, with particular emphasis on information visualization, narrative visualization, and the application of these techniques to real-world problems. Her work spans multiple domains including finance, food safety, biomedical applications, smart cities, and social media. She has developed novel visualization techniques and owns five intellectual properties in this field. Her recent publications demonstrate a clear trajectory toward more sophisticated visualization techniques that integrate machine learning, with increasing focus on narrative visualization, user engagement across demographics, and practical applications in domains such as public health and education. The interdisciplinary nature of her work is evident in collaborations across computer science, behavioral science, and domain-specific applications. Dr. Liang has received significant recognition for her work, including: University Medal with First Class Honours from UTS Capital Markets CRC Honours scholarship Australian Postgraduate Awards As an educator, Professor Liang coordinates core subjects for Bachelor of Information Technology, Bachelor of Computer Science with Honours, Master of Interaction Design, and Master of Business Analytics programs. She has recently developed enterprise learning courses including short courses and micro-credentials in data visualization education. Her leadership extends to service roles as associate editor for JVLC and Journal Visual Informatics, program committee member for numerous conferences, and advisory board member for the Australian Computer Society and Peking University Medical Visualization Centre. Professor Liang leads the Data Visualisation Research Lab, which focuses on developing innovative visualization techniques and applying them to real-world problems. The lab maintains strong industry connections, with collaborations spanning government agencies, academic institutions, and commercial enterprises across multiple continents.

• Artificial Intelligence
• Data Science
• Health Informatics
• +۳ مورد دیگر

Jorge Raul Navarro-Cabrera serves as a contracted lecturer in the Faculty of Engineering and Architecture at Peruvian Union University since March 2025, while concurrently holding technical and editorial roles at Universidad Nacional de San Martin in Tarapoto, Peru. His institutional affiliations demonstrate dual engagement in academic instruction and university publishing operations. He earned his Systems and Computer Engineering degree from Universidad Nacional de San Martin, establishing the foundation for his interdisciplinary research career. This educational background directly informs his applied technical approach across diverse domains. Navarro-Cabrera's research program centers on artificial intelligence and data science applications addressing Peruvian societal challenges. His work in health informatics develops non-invasive diagnostic tools using computer vision, while tourism technology research focuses on ICT solutions for destination promotion. Educational data mining constitutes another pillar, particularly unsupervised learning for student retention prediction. These threads converge in practical implementations like municipal sociocultural web applications and immigration risk classification systems. Analysis of his 15 most recent publications reveals a consistent pattern of collaborative research with Miguel Valles-Coral and Lloy Pinedo, spanning healthcare diagnostics, tourism innovation, and educational technology. The geographical focus remains predominantly Peruvian, with methodological strengths in unsupervised learning algorithms and multimodal data analysis. His academic service includes editorial assistance for scientific journals at Universidad Nacional de San Martin, complementing his technical role in the university's editorial department. This combination of teaching, research, and publishing support reflects a multifaceted academic profile engaged with both theoretical and operational aspects of higher education.

• Information Systems
• Artificial Intelligence
• Digital Economy
• +۵ مورد دیگر

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.