Pascal Vrignat | Learning & Development | Best Academic Researcher Award

Published on by Human Resources Management

Assist. Prof. Dr. Pascal Vrignat | Learning & Development | Best Academic Researcher Award

Assist. Prof. Dr.Pascal Vrignat | The University of Orleans University | France

Dr. Pascal Vrignat is a highly accomplished researcher whose scientific contributions lie at the intersection of operational safety, diagnostics, prognosis, and maintenance strategies for complex systems. His research focuses on the modeling and optimization of system reliability and performance using Markovian and stochastic processes, with particular attention to system obsolescence, shortages, and life-cycle management. He integrates survival laws and Hidden Markov Models  to develop advanced models for remaining useful life prediction and degradation analysis, addressing key challenges in industrial maintenance and decision support. With a strong publication record of 25 scholarly works, 242 citations, and an h-index of 6, Vrignat has established himself as a significant contributor in the fields of industrial systems engineering and intelligent maintenance. His research output includes high-impact journal articles, such as his recent paper, “Contribution to Estimating the Level of Bearing Degradation Using an HMM MultiBranch Approach” which demonstrates a refined methodology for mechanical fault diagnosis and predictive maintenance. His studies consistently bridge theoretical modeling with applied engineering, especially in areas involving industrial computer applications, systems, IoT integration, and digital communication networks. Vrignat’s work extends to the development of AI-driven tools for sustainability and automation, reflecting a broader commitment to advancing the Industry 4.0 and smart manufacturing paradigm. His publication, “The Effectiveness of AI: Feedback on the Experience to Counteract Food Waste” (Journal of Sustainability Research, exemplifies his interdisciplinary reach, applying artificial intelligence for societal benefit. Beyond technical innovation, his research promotes practical solutions that enhance reliability, optimize maintenance planning, and extend system longevity.

Featured Publications

Vrignat, P., Avila, M., Duculty, F., Bardet, C., Begot, S., & Marangé, P. Innovative pedagogies for Industry 4.0: Teaching RFID with serious games in a project-based learning environment. Education Sciences.

Vrignat, P., Kratz, F., Avila, M., Duculty, F., Begot, S., & Bardet, J. C. The effectiveness of AI: Feedback on the project to counteract food waste. Journal of Sustainability Research.

Chih-Hung Pai | Performance Management | Best Researcher Award

Published on by Human Resources Management

Prof. Chih-Hung Pai | Performance Management | Best Researcher Award

Director of the Leisure Tourism Development Research Center | The University of Zhejiang Yuexiu University | China

Professor Chih-Hung Pai is an accomplished scholar whose research focuses on the intersections of sustainable tourism, hospitality management, and environmental economics. With a portfolio of nine scholarly publications, 78 citations, and an h-index of 4, his academic influence reflects both depth and interdisciplinary breadth. His body of work contributes significantly to understanding how sustainable practices, innovative technology, and policy frameworks can jointly enhance economic growth and ecological preservation within global tourism systems. His recent studies highlight the integration of environmental conservation and economic progress, emphasizing how sustainable tourism practices shape global economies and support long-term resilience. His contributions to leading indexed journals, including Current Issues in Tourism, Humanities and Social Sciences Communications, and Resources Policy, have offered novel insights into green finance mechanisms, carbon neutrality promotion, and cultural tourism development. Through empirical modeling and policy evaluation, he explores strategies that enable regions, particularly in Asia, to transition toward environmentally responsible and economically viable growth models. In parallel, his research investigates technological innovation in hospitality, analyzing how digital tools, machine learning, and green technologies influence customer experience, service recovery, and organizational competitiveness. Studies such as those on technology adoption in green hotels and data-driven assessments of cultural tourism experiences underscore his commitment to integrating artificial intelligence and sustainability in modern service systems. Furthermore, his work on eco tourism experiences, leisure behavior, and corporate social responsibility within the hospitality sector enriches the understanding of human environment interactions and their socio-economic implications. Collectively, Professor Pai’s scholarly output represents a forward-thinking approach to sustainability science bridging theory with practice and providing actionable pathways for policymakers, educators, and industry stakeholders seeking to harmonize economic prosperity with ecological balance in the evolving global tourism landscape.

Featured Publication

Pai, C.-H., Zhang, Y., Wang, Y.-L., Li, K., & Shang, Y. Current challenges and opportunities in cultural heritage preservation through sustainable tourism practices. Current Issues in Tourism.

Nasiwat Thanathitiphuwaphat | Learning & Development | Best Researcher Award

Published on by Human Resources Management

Mr. Nasiwat Thanathitiphuwaphat | Learning & Development | Best Researcher Award

Graduate Student | The University of Chulalongkorn University | Thailand

Mr. Nasiwat Thanathitiphuwaphat is a researcher specializing in applied economics, with focused interests in the economics of education, labor economics, and microeconomics. His scholarly work integrates quantitative analysis with a policy-oriented perspective, emphasizing how education and labor systems contribute to equitable and sustainable economic growth. His academic foundation in economics has enabled him to develop research that explores the intersection of individual decision-making, institutional structures, and social outcomes. His published thesis, “Rational Decision-Making Model: AP Micro, AP Macro, A-Level Economics, and IB Economics,” featured in the Journal of Teaching in International Business, provides an innovative framework for understanding economic reasoning in education. The study analyzes how curriculum design and economic learning frameworks influence cognitive behavior and student performance, contributing to the broader literature on education economics and pedagogy. Building on this, his ongoing working papers examine topics such as fair college admissions, educational investment efficiency, and the role of pre-university economics in shaping university outcomes. Collectively, these studies aim to enhance fairness, transparency, and inclusivity within educational and labor systems. In addition to academic research, his work extends to applied economic issues related to labor rights, workforce management, and responsible business conduct. His participation in research and policy dialogues within Southeast Asia reflects a commitment to addressing contemporary challenges surrounding human capital, migration, and labor equity. Employing econometric and data-driven approaches, his research contributes to evidence-based policymaking that supports social and economic inclusion. His research direction is defined by an analytical yet human centered approach, integrating economic modeling with empirical insights. By connecting education, labor, and development economics, his work advances the understanding of how economic principles can be applied to create fairer systems of opportunity and enhance long-term socioeconomic well-being.

Featured Publication

Thanathitiphuwaphat, N., & Tipayalai, K. Rational decision-making model: AP Micro, AP Macro, A-Level Economics, and IB Economics. Journal of Teaching in International Business.