Kazem Badv | Learning & Development | Research Excellence Award

Published on by Human Resources Management

Prof. Kazem Badv | Learning & Development | Research Excellence Award

Faculty Member, Professor | The University of  Urmia University | Iran

Prof. Kazem Badv is a distinguished scholar in Civil and Environmental Engineering with extensive contributions to geotechnical and geo-environmental research. His academic work spans soil mechanics, environmental geotechnics, unsaturated soils, and solid waste engineering, with a focus on advancing sustainable solutions for challenging soil and environmental conditions. Over his career, he has developed notable expertise in marine geotechnics, geosynthetics, and environmental impact assessment related to large-scale infrastructure projects. Prof. Badv has authored 23 research documents that collectively reflect his multidisciplinary approach to complex engineering problems. His publications have attracted 164 citations and achieved an h-index of 8, underscoring the significance and growing impact of his work in the scientific community. He has also contributed to the advancement of knowledge through multiple books in soil mechanics, environmental geotechnics, and landfill engineering, helping shape academic learning and professional practice. His research emphasizes innovative solutions for soil behavior analysis, waste containment systems, contaminant transport, and environmental risk mitigation. Through pioneering efforts, including leading an Environmental Geotechnics Research Laboratory, he continues to foster scientific inquiry, mentor emerging researchers, and contribute to the global advancement of geo-environmental engineering.

Citation Metrics (Scopus)

200

160

120

80

40

0

Citations
173

Documents
23

h-index
8

                           Citations
          Documents
h-index


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Featured Publications

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.