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)

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Citations
646
Documents
32
h -index   11

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Featured Publications

Guoqiang Feng | Employee Engagement | Research Excellence Award

Published on by Human Resources Management

Dr. Guoqiang Feng | Employee Engagement | Research Excellence Award

Associate Professor | The University of  Lanzhou University | China

Dr. Guoqiang Feng is an economist whose research spans organizational theory, institutional economics, governance, environmental policy, and urban and industrial economics. His work integrates both theoretical and empirical approaches, with a focus on local governance, environmental regulation, and the interaction between institutions and economic outcomes. Feng’s studies explore the role of organizational structures, institutional arrangements, and governance mechanisms in shaping economic and social processes, with recent emphasis on environmental governance, digital transformation, and enterprise life cycles. Among his notable publications are “Gender Bias in Leadership in Environmental Governance” , “A Study on the Impact of Growth Targets on the Allocation of Local Environmental Attention” , “The Boundaries of the Role of Interviews: A Case Study of Neighboring Cities’ Feedback Responses to Interviews by the Ministry of Environmental Protection” , “Rent and Taxation: The Theoretical Logic of Local Government Role Selection and “The Level of Decentralization and Property Rights Protection”. Dr. Feng’s research has been widely cited, with over 25 citations across multiple journals. His scholarly influence is reflected in an h-index of 2. His work is recognized for bridging institutional theory with empirical insights, offering policy relevant evidence on governance, environmental management, and organizational dynamics, contributing to both academic discourse and applied economic strategies.

Citation Metrics (Scopus)

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Citations
25

Documents
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h-index
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Featured Publication

Magdalena Sobieska | Rewards & Recognition | Research Excellence Award

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Prof. Magdalena Sobieska | Rewards & Recognition | Research Excellence Award

Dept. of Rehabilitation and Physiotherapy | The University of  Poznań University of Medical Sciences | Poland

Prof. Magdalena Sobieska is a distinguished researcher whose scholarly contributions sit at the intersection of immunology, physiotherapy, and rehabilitation medicine. Her work is characterized by a sustained commitment to understanding the biological mechanisms underpinning inflammatory responses, acute phase reactions, and immune activation in both clinical and physiotherapeutic contexts. With 117 scientific documents, 1,868 citations, and an h-index of 20, she has established herself as an influential figure in multidisciplinary biomedical research. A major thematic focus of her research involves the clinical applicability of acute phase proteins, cytokines, and biochemical markers in diverse medical conditions. She has extensively investigated their diagnostic and prognostic value in rheumatic diseases, traumatic injuries, inflammatory disorders, and immune related pathologies. Her studies have contributed valuable insights into how inflammatory biomarkers respond to physical activity, stress, physiotherapy interventions, and complex disease states. Prof. Sobieska has also made important scientific advances in the fields of exercise immunology, rehabilitation sciences, and rheumatologic diagnostics, demonstrating how laboratory-based biomarker profiling can be integrated into personalized therapeutic strategies. Her early contributions to understanding immunological disturbances in mental health disorders and metabolic diseases have provided additional depth to her multidisciplinary approach. Her international collaborations broadened her expertise in eosinophil activation, cytokine regulation, and immune pathways that influence chronic inflammatory conditions.

Profiles:  Scopus | ORCID

Featured Publications

Pawlak-Andryszczyk, Ż., Andryszczyk, M., & Sobieska, M. Movements induced by optic flow in relation to HINE.

Bieniaszewska, A., Sobieska, M., & Gajewska, E. ,Functional and structural analysis of SITTER patients with spinal muscular atrophy.

Gajewska, E., Surowińska, J., Chałupka, A., Moczko, J., Michalak, M., & Sobieska, The qualitative motor assessment at three months allows a better prognosis than the traction test.

Bingfei Gu | Rewards & Recognition | Research Excellence Award

Published on by Human Resources Management

Prof. Dr. Bingfei Gu | Rewards & Recognition | Research Excellence Award

Professor | The University of Zhejiang Sci-Tech University | China

Prof. Dr. Bingfei Gu is a prominent researcher in the interdisciplinary domain of digital apparel engineering, computational ergonomics, and intelligent garment technologies. With a scholarly record of 81 publications, 255 citations, and an h-index of 11, the author has built a strong research presence that spans human body modeling, fabric behavior simulation, and advanced garment design systems. Their work integrates computational methods, image processing, 3D point cloud analytics, and artificial intelligence to address long-standing challenges in apparel fit, pattern generation, body measurement accuracy, and digital clothing representation. A central focus of the author’s research is the development of precise and scalable human body measurement frameworks using hybrid scanning and imaging systems. This includes advanced classification of body shape, automated feature extraction, and individualized prototype generation for apparel design. Their studies on digital garment systems explore virtual fittings, numerical simulations of fabric drape, and biomechanics-based modeling of clothing body interaction, contributing to improved prediction of wearer comfort and performance. The author has produced influential work on garment technologies, including new algorithms for pattern adaptation, topologically consistent model reconstruction, and simulation-driven design optimization. Their research in garment virtual simulation extends into computational evaluations of ergonomics, ballistic protection mechanisms, and AI driven virtual try on methods leveraging generative diffusion models. Through collaboration with multidisciplinary teams, the author has contributed to notable advancements in industrial ergonomics, textile engineering, and digital fashion innovation. Their publications in high impact journals demonstrate a commitment to methodological rigor and practical relevance, supporting the broader transition toward intelligent apparel manufacturing, personalized garment engineering, and data-driven fashion technologies. The author’s contributions continue to shape emerging standards in digital human modeling and next-generation garment simulation.

Featured Publications

Hou, J., Lu, Y., Wang, M., Ouyang, W., Yang, Y., Zou, F., Gu, B., & Liu, Z.  A Markov Chain approach for video-based virtual try-on with denoising diffusion generative adversarial network. Knowledge Based Systems.

Jin, S., & Gu,, Production scheduling optimization of shirt component module based on standard man-hour prediction.

Sheng, X., Zhao, S., & Gu, B. Construction of shirt component module groups based on process similarity

Sun, Y., Niu, W., Chen, X., Chen, Q., Gu, B., & Liu, Y. Application of human finite element model in flexible protective products. Journal of Medical Biomechanics.

Feng, H., Sheng, X., Zhang, L., Liu, Y., & Gu, B. Color analysis of brocade from the 4th to 8th centuries driven by image based matching network modeling.

Jin, S., & Gu, B. Individualized generation of women’s prototype based on the classification of body shape.