Tasawar Nawaz | Learning & Development | Research Excellence Award

Published on by Human Resources Management

Assoc. Prof. Dr. Tasawar Nawaz | Learning & Development | Research Excellence Award

Assoc. Prof | The University of King Fahd University of Petrolium | Saudi Arabia

Assoc. Prof. Dr. Tasawar Nawaz research integrates both interpretive and positivist approaches, offering rigorous empirical and theoretical insights into governance mechanisms, executive characteristics, faith-based institutions, and financial performance. He has made significant contributions to high-impact international journals, including Financial Times Top-50 outlets, particularly the Journal of Business Ethics. Dr. Nawaz’s scholarly output comprises 32 peer-reviewed documents, which have collectively received 646 citations, reflecting strong academic influence and sustained research relevance. With an h-index of 11, his work demonstrates consistent citation performance across multiple research streams. His publications address contemporary issues such as CEO traits, military and religious entrenchment in governance, intellectual capital efficiency, practices, and Islamic finance structures, contributing meaningfully to global debates in accounting, finance, and strategic management research.

                            Citation Metrics (Scopus)

900

750

600

450

300

150

0

 

Citations
646
Documents
32
h -index   11

View Scopus ProfileView ORCID ProfileView Research Gate Profile

Featured Publications

Mizanur Rahman | HR Technology and Digital Transformation | Research Excellence Award

Published on by Human Resources Management

Dr. Mizanur Rahman | HR Technology and Digital Transformation | Research Excellence Award

Lecturer | The University of  Regent College London | United Kingdom

Dr. Md. Mizanur Rahman’s research focuses on advanced computing, data visualization, distributed systems, and data-driven analytics. His work investigates high performance rendering techniques, scanline-based algorithms, and the visualization of large-scale data sets, contributing to efficient computation and graphical modeling in complex computing environments. Across 11 publications, including international conferences and journals such as, Springer. Dr. Rahman has explored areas spanning geometric modeling, distributed computing architectures, and algorithm optimization for visualization tasks. His studies on cache oblivious algorithms, Java-based systems for large-scale rendering, and data-driven business analytics demonstrate a blend of theoretical rigor and practical application. With four citations and an h-index of 1, his contributions provide foundational insights into computational efficiency, algorithm design, and the integration of data science methods into real-world applications. Dr. Rahman’s work supports advancements in both academic research and applied computing technologies.

Citation Metrics (Google Scholar)

20

16

12

8

4

0

Citations
4

Documents
11

h-index
1

 

View Google Scholar Profile
 View ORCID Profile

Featured Publications


High-performance rendering on clusters of workstations – S Dalal, F Dévai, MM Rahman

– Geometric Modeling and Imaging–New Trends (GMAI’06), 22-27, 2006


Experimental Evaluation of Graphics Algorithms – B Chalk, S Dalal, F Dévai, MM Rahman

– 2008 3rd International Conference on Geometric Modeling and Imaging, 59-65, 2008


The PCC Model in Online Teaching: A Framework for Effective Practice – MM Rahman

– The 2nd International Conference on Education Research – ICER 2025, 2025


Data-driven business strategies with the power of the K-means algorithm – MM Rahman

– International Journal of Higher Education Management 11 (2), 1-10, 2025

 

Xu Xinsheng | Strategic HR Management | Research Excellence Award

Published on by Human Resources Management

Prof. Xu Xinsheng | Strategic HR Management | Research Excellence Award

Professor | The University of Shandong University of Aeronautics | China

Prof. Xinsheng Xu is an accomplished scholar whose research sits at the intersection of supply chain management, inventory theory, risk analytics, and quantitative optimization. With 34 academic documents, over 300 citations, and an h-index of 10, his scholarly impact is reflected in both the depth and breadth of his contributions to operations research and management science. His work advances understanding of decision-making under uncertainty, particularly focusing on how risk attitudes such as loss aversion and risk aversion shape procurement and ordering behavior. A significant portion of his research extends classical models such as the newsvendor framework, exploring new dimensions that incorporate backlogging, shortage penalties, fill rate considerations, opportunity loss, and advanced risk measures including Conditional Value-at-Risk. These models offer improved decision-support tools for retailers, suppliers, and logistics managers facing increasingly volatile market environments. Beyond behavioral decision models, his research also encompasses multi sourcing procurement, dual sourcing under emergency conditions, supply option contracts, supplier default risks, and portfolio purchasing strategies. He has developed analytical methods for optimizing procurement in hybrid sourcing systems, considering mismatch costs, spot market dynamics, emergent replenishment strategies, and utility maximizing approaches for risk-sensitive buyers. In parallel, Xinsheng Xu has made influential contributions to optimization theory, including bilevel programming, tri level supply chain models, smoothing techniques for penalty functions, and algorithmic strategies for constrained optimization. These theoretical developments are applied in multi-stage supply chain design, cooperative risk-sharing, and interaction programming problems. His work appears in respected journals such as International Journal of Production Economics, International Journal of Production Research, Annals of Operations Research, Industrial Management & Data Systems, Computers & Industrial Engineering, Mathematics, Discrete Dynamics in Nature and Society, and Numerical Functional Analysis and Optimization.

Featured Publications

Xu, X., Sang, S., & Lee, C. K. M. The optimal ordering decision of a retailer with a spot buying. International Journal of Production Research.

Xu, X., & Lee, C. K. M. Portfolio procurement with an option contract and spot market. International Journal of General Systems.

Sang, S., Xu, X., & Lee, C. K. M. A purchaser’s optimal procurement strategy under emergencies. International Journal of General Systems. Published online.

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.

Fabrice Cognasse | Leadership Development | Best Researcher Award

Published on by Human Resources Management

Dr. Fabrice Cognasse | Leadership Development | Best Researcher Award

Scientific Director | The University of French Blood Establishment (EFS) | France

Dr. Fabrice Cognasse is a distinguished biomedical researcher whose scientific contributions have significantly advanced the fields of immunology, transfusion medicine, and inflammation biology. His research has focused on the complex interactions between platelets, immune cells, and inflammatory mediators, providing groundbreaking insights into the dual role of platelets as hemostatic and immune-modulatory agents. Through a combination of experimental and translational research, his studies have deepened understanding of how platelet-derived molecules influence immune responses, infection control, and pathological inflammation in clinical settings. With an impressive record of 182 peer-reviewed publications, 5,373 citations, and an h-index of 42, Dr. Cognasse’s scholarly work demonstrates both high productivity and sustained impact in biomedical science. His publications appear in leading international journals covering topics such as hematology, immunology, transfusion research, and molecular medicine, where they have contributed to reshaping current concepts of immune regulation and transfusion-related immunomodulation. His research has identified key molecular markers associated with platelet activation and inflammation, supporting the development of novel diagnostic and therapeutic tools aimed at improving transfusion safety and clinical outcomes. The integration of molecular biology, cellular immunology, and translational science within his research has provided a foundation for innovations that enhance patient care and transfusion efficacy. Dr. Cognasse’s work also bridges multiple scientific disciplines through collaborations with international researchers, funding agencies, and research networks. His contributions extend to the design of biomarker-based tools and patented discoveries that advance biomedical research and clinical diagnostics. Collectively, his work exemplifies scientific excellence, leadership in immunohematology, and a lasting influence on global research in platelet biology and inflammation.

Featured Publications

Cognasse, F., Integrating cellular and soluble immune signatures of major depression with and without recent suicide attempts. Translational Psychiatry.

Cognasse, F., The composition of single-donor apheresis platelet concentrates is influenced by the age of the donor. Scientific Reports.

Cognasse, F., Pilot study of ABO-isogroup or universal plasma pools with or without pathogen reduction treatment. Blood Transfusion.

Cognasse, F. Cracking TRALI: targeting the membrane attack complex.  Transfusion Clinique et Biologique.

Cognasse, F.,  Donor-reported stress type affects inflammatory blood markers prior to donation. Transfusion Clinique et Biologique.

Juan Xu | Women in Leadership | Best Researcher Award

Published on by Human Resources Management

Mrs. Juan xu | Women in Leadership | Best Researcher Award

NCWU at The University of North China University of Water Resources and Electric Power | China

Mrs. Xu Juan is a dedicated Lecturer at the School of Electrical Engineering, North China University of Water Resources and Electric Power, recognized for her strong academic foundation and research excellence in electronic science and energy storage materials. She earned her Ph.D. in Electronic Science and Technology from Huazhong University of Science and Technology , following a solid academic path that included a Bachelor’s degree in Physics from Xinxiang University and postgraduate studies in Electronic Science and Technology at the same institution. Since joining her current university in 2018, she has actively engaged in teaching and research, contributing significantly to the fields of zinc-ion and sodium-ion batteries, supercapacitors, and nanostructured materials. Her research interests focus on cation doping regulation, oxygen vacancy engineering, and advanced energy storage technologies, aiming to enhance electrochemical performance and energy efficiency. Mrs. Xu has published 24 scientific papers, receiving 80 citations with an h-index of 5, showcasing her growing academic influence. Her technical expertise includes materials synthesis, electrochemical analysis, and nanomaterial interface engineering, combining theoretical understanding with experimental innovation. She has also contributed to two Chinese patents and was part of a research team that won the Henan Provincial First-Class Award for Scientific and Technological Progress for advancements in high-power nonlinear optical terahertz radiation sources. Her professional strengths lie in collaborative research, analytical problem-solving, and high-quality scholarly output. Looking ahead, Mrs. Xu aims to expand her research through interdisciplinary collaborations and explore next-generation flexible and sustainable energy storage systems. With her academic excellence, innovative mindset, and strong commitment to scientific advancement, she continues to be a promising scholar contributing meaningfully to the development of modern energy technologies.

Profile:  SCOPUS

Featured Publications

Authors unavailable. Enhancing interfacial electron transfer by gradiently constructing polyaniline electron bridge between MOF and MnOx for high-performance flexible supercapacitors. Journal of Power Sources.

Authors unavailable. The optimal integrating state of VOx with the synergistic effect of Cu²⁺ cation and polyaniline for high-performance flexible fiber zinc-ion battery. Journal of Energy Storage.