Ms. Li Na | Innovative Leadership| Best Researcher Award

Published on 30/10/202530/10/2025 by Leadership and Management

Ms. Li Na| Innovative Leadership| Best Researcher Award

The North University of China | China

Li Na is a dedicated researcher and lecturer at the School of Chemistry and Chemical Engineering, North University of China. She earned her doctoral degree in Chemical Technology from the Shanxi Institute of Coal Chemistry, University of Chinese Academy of Sciences (2020–2023), following a master’s and bachelor’s degree in Chemical Engineering from the China University of Mining and Technology. With extensive teaching and research experience, she has served as a lecturer at multiple institutions, including Shanxi University of Technology and Shuozhou Campus of North University of China. Currently, she is also engaged in postdoctoral research at the North University of China, focusing on the development of advanced materials and catalytic systems. Her research interests include the design and synthesis of metal-organic frameworks (MOFs), carbon-based composite materials, and their applications in energy conversion, gas separation, and environmental purification. Li Na has participated in several provincial-level scientific projects, contributing to innovations in sustainable chemical processes and catalytic materials. Her commitment to academic excellence is reflected in her contributions to cutting-edge research that bridges materials science and chemical engineering. She continues to pursue impactful research that supports clean energy and environmental sustainability.

Profiles: Scopus | ORCID

Featured Publications

Li, N., Yang, J., Zhang, R., Wei, Y., Yang, K., & Du, X. (2025). 3D core-shell structured NiCo₂O₄ nanoneedle array encased in N-doped carbon for efficient oxygen evolution reaction and electrocatalytic urea oxidation. International Journal of Hydrogen Energy.

Dr. Manila Mallik | Engineering | Women Researcher Award

Published on 30/10/202530/10/2025 by Leadership and Management

Dr. Manila Mallik | Engineering | Women Researcher Award

VSSUT Burla | India

Dr. Manila Mallik is an accomplished academic in the Department of Metallurgical and Materials Engineering at Veer Surendra Sai University of Technology, Burla. She earned her Ph.D. in Metallurgical and Materials Engineering from the Indian Institute of Technology, Kharagpur, where her research focused on the synthesis and characterization of creep-resistant Sn-Cu-Y₂O₃ nanocomposite lead-free solders. She holds an M.Tech. from the National Institute of Technology, Rourkela, where she investigated the effect of microstructure on the indentation creep behavior of ferritic steels, achieving an outstanding CGPA of 9.73. Dr. Mallik completed her B.E. with honors from the Indira Gandhi Institute of Technology, Sarang. Her research interests span nanocomposite materials, high-temperature alloys, lead-free solder development, and advanced metallurgical characterization techniques. She has contributed to several research publications and projects focusing on improving material strength, thermal stability, and environmental sustainability in metallurgical applications. Dr. Mallik’s work bridges scientific innovation and industrial applicability, earning her recognition for academic excellence and impactful research contributions. With a strong commitment to advancing material science, she continues to inspire students and researchers through her dedication to sustainable engineering solutions and the development of next-generation materials for high-performance applications.

Profile: Scopus

Featured Publications

AuthorLastName, A. A., AuthorLastName, B. B., & AuthorLastName, C. C. (Year). Effect of austenitization and cooling rate on pearlite morphology and kinetics of near eutectoid steel: A combined experimental–simulation approach. Journal Name, Volume(Issue), Page range.

Dr. Anis Chaari | Change Management | Best Researcher Award

Published on 30/10/202530/10/2025 by Leadership and Management

Dr. Anis Chaari | Change Management | Best Researcher Award

King Hamad University Hospital | Bahrain

Dr. Anis Chaari is a distinguished consultant and Head of Department in intensive care medicine with extensive expertise in critical care and patient management. He completed his medical education at the Faculty of Medicine in Tunisia, followed by a rigorous internship at Habib Bourguiba University Hospital. His advanced fellowship training in intensive care medicine at leading Tunisian institutions, including Habib Bourguiba and La Rabta University Hospitals, laid the foundation for his specialization. Further enhancing his clinical and academic proficiency, he earned the Diplôme d’Études Spécialisées (DES) in intensive care medicine at Bichat-Claude Bernard and Kremlin-Bicêtre University Hospitals in Paris, France. Throughout his career, Dr. Chaari has been deeply engaged in clinical research on sepsis, multi-organ failure, and infection control in critical care settings. His publications and quality improvement projects have contributed significantly to the understanding and management of nosocomial infections and critical illness prognostics. He is recognized for his leadership, commitment to evidence-based medicine, and dedication to improving patient outcomes. Dr. Chaari continues to integrate research, teaching, and clinical excellence, inspiring future generations of intensivists and advancing the standards of modern intensive care practice globally.

Profile: Scopus

Featured Publications

Respiratory tract colonization with Candida species in cancer patients: Epidemiology and prognostic impact. International Journal of Critical Illness and Injury Science.

Predictive factors and prognostic value of candiduria in critically ill patients with solid and hematological malignancies. Journal of Medical Mycology.

Sphenoidal mucormycosis associated with large B-cell lymphoma: Case report and literature review. Memo: Magazine of European Medical Oncology.

Ms. Cherie Gautam | Mathematical modeling | Best Researcher Award

Published on 28/10/2025 by Leadership and Management

Ms. Cherie Gautam | Mathematical modeling | Best Researcher Award

Babasaheb Bhimrao Ambedkar University, Lucknow | India

Dr. Cherie Gautam is a dedicated researcher in the Department of Mathematics at Babasaheb Bhimrao Ambedkar University, Lucknow. She earned her B.Sc. from Chaudhary Charan Singh University, Meerut (2018), followed by an M.Sc. in Mathematics from the Indian Institute of Technology Roorkee (2020). Currently pursuing her Ph.D. at BBAU, she has completed her Pre-Ph.D. work with a focus on mathematical modeling of ecological and environmental systems. Her research explores the dynamics of environmental sustainability through modeling, stability, and bifurcation analysis of nonlinear systems, with an emphasis on carbon dioxide mitigation strategies. Dr. Gautam has published several impactful papers in reputed international journals such as Physica D: Nonlinear Phenomena, Computational and Applied Mathematics, and The European Physical Journal Plus. She has received UGC Junior and Senior Research Fellowships and earned third prize for her oral presentation at the “Lucknow Climate Change Conference 2k22.” Additionally, she qualified the GATE 2021 exam and serves as a reviewer for Theoretical and Applied Climatology and Environmental Modeling & Assessment. With an h-index of 2, 20 citations, and 5 research documents, Dr. Gautam’s work contributes significantly to the advancement of mathematical ecology and climate modeling. Her academic journey reflects a commitment to using mathematics as a tool for environmental protection and sustainability.

Profile: Scopus

Featured Publications

Gautam, C., & Verma, M. (2025). Mitigating atmospheric carbon dioxide through ocean-based carbon capture technologies: A delay mathematical model. The European Physical Journal Plus, 140, 943.

Prof. Malte Henkel | Innovative Leadership | Excellence in Research

Published on 27/10/2025 by Leadership and Management

Prof. Malte Henkel | Innovative Leadership | Excellence in Research

LPCT, Universite de Lorraine Nancy | France

Professor Malte Henkel is a distinguished theoretical physicist renowned for his pioneering contributions to non-equilibrium statistical mechanics, dynamical symmetries, and conformal field theory. He earned his Ph.D. in Physics from the University of Bonn in 1987, where his dissertation received the highest distinction and the prestigious Germano-Israeli Minerva Prize. Following extensive postdoctoral research at leading institutions including Weizmann Institute, Paris-Saclay, Oxford, and Geneva, he joined the Université de Lorraine, Nancy, as Professor of Theoretical Physics in 1995, where he now serves as PRCE2, the highest academic rank in France. His work has significantly advanced understanding of non-equilibrium criticality, local scale-invariance, reaction-diffusion processes, and infinite-dimensional Lie algebras. Professor Henkel has authored over 142 scientific papers, 50 conference proceedings, and several public science articles, amassing 8,271 citations and an h-index of 44 (as of October 2025). He has led numerous international collaborations and projects, including the ANR UNIOPEN program (2022–2026), and received awards such as the 2008 Best Teaching Prize for his Franco-German integrated physics program. His ongoing research explores non-equilibrium representations of dynamical symmetries, quantum dynamics, and fractional growth models, bridging mathematical physics with applications in complex systems and interdisciplinary science.

Profile: Google Scholar

Featured Publications

Henkel, M., Hinrichsen, H., & Lübeck, S. (2008). Non-equilibrium phase transitions: Vol. 1. Absorbing phase transitions. Springer.

Henkel, M. (2013). Conformal invariance and critical phenomena. Springer Science & Business Media.

Alcaraz, F. C., Droz, M., Henkel, M., & Rittenberg, V. (1994). Reaction-diffusion processes, critical dynamics, and quantum chains. Annals of Physics, 230(2), 250–302.

Henkel, M., & Pleimling, M. (2010). Non-equilibrium phase transitions: Vol. 2. Ageing and dynamical scaling far from equilibrium. Springer.

Henkel, M. (1994). Schrödinger invariance and strongly anisotropic critical systems. Journal of Statistical Physics, 75(5), 1023–1061.

Henkel, M., & Schütz, G. (1988). Finite-lattice extrapolation algorithms. Journal of Physics A: Mathematical and General, 21(11), 2617–2633.

Henkel, M. (2002). Phenomenology of local scale invariance: From conformal invariance to dynamical scaling. Nuclear Physics B, 641(3), 405–486.

Mr. Joel Mubiru | Decision-making and Problem-solving | Excellence in Leadership and Management Award

Published on 27/10/202527/10/2025 by Leadership and Management

Mr. Joel Mubiru | Decision-making and Problem-solving | Excellence in Leadership and Management Award

University of Birmingham | United Kingdom

Dr. Mubiru Joel is an accomplished civil engineer and academic with over a decade of experience in road safety engineering, transport planning, and construction management. Currently pursuing a Ph.D. in Civil Engineering in the United Kingdom, his research focuses on quantifying the risk impact of contextual factors on pedestrian crash outcomes in data-scarce developing country settings. He holds an MSc in Infrastructure Planning from Universität Stuttgart, Germany, and a BEng in Civil and Building Engineering from Kyambogo University, Uganda. Throughout his career, he has contributed to major infrastructure projects across urban and rural areas, specializing in road safety audits, transport planning, and project supervision. As an Assistant Lecturer at Kyambogo University, he supervised numerous undergraduate and postgraduate research projects, emphasizing sustainable infrastructure and traffic safety innovations. His technical proficiency spans AutoCAD, ArcGIS, and MS Project, complemented by strong leadership in construction site management and health and safety compliance. With a record of excellence in both academia and professional practice, Dr. Mubiru’s work bridges engineering research and field implementation, aiming to enhance pedestrian safety and transport efficiency in developing regions. His ongoing research and international collaborations continue to advance sustainable mobility and infrastructure resilience.

Profile: ORCID

Featured Publications

Mubiru, J., & Evdorides, H. (2025, October 22). Quantifying the risk impact of contextual factors on pedestrian crash outcomes in data-scarce developing country settings. Future Transportation, 5(4), Article 151.

Assoc. Prof. Dr. Folasade May | Transformational Leadership | Best Researcher Award

Published on 27/10/202527/10/2025 by Leadership and Management

Assoc. Prof. Dr. Folasade May | Transformational Leadership | Best Researcher Award

UCLA Health | United States

Dr. Folasade P. May is an Associate Professor of Medicine at the UCLA David Geffen School of Medicine and serves in the Vatche & Tamar Manoukian Division of Digestive Diseases. She earned her Bachelor’s degree in Molecular, Cellular, and Developmental Biology from Yale University, followed by a Master of Philosophy in Epidemiology from the University of Cambridge. She obtained her M.D. from Harvard Medical School and completed her internal medicine residency at Massachusetts General Hospital. Dr. May further specialized in gastroenterology through the UCLA Specialty Training and Advanced Research (STAR) Program and earned her Ph.D. in Health Policy and Management from the UCLA Fielding School of Public Health. Her research focuses on health disparities, preventive health, colorectal cancer screening, and improving access to care for underserved populations. She has published extensively on strategies to enhance cancer prevention and equitable healthcare delivery. Dr. May’s work has earned her recognition for advancing diversity, equity, and inclusion in medicine. A passionate educator and clinician, she continues to mentor future physicians and contribute to policy-oriented health research that addresses real-world healthcare inequities.

Profile: Scopus

Featured Publications

Wong, C. R., Flores, Y. N., Avila, A., Tieu, L., Crespi, C. M., May, F. P., Bell, D. S., Glenn, B., & Bastani, R. (2025). Improving the accuracy and precision of disease identification when utilizing EHR data for research: The case for hepatocellular carcinoma. BMC Research Notes, 18, 410.

Prof. Anil gautam| Engineering | Best Researcher Award

Published on 25/10/202527/10/2025 by Leadership and Management

Pro. Anil gautam| Engineering | Best Researcher Award

G B Pant Institute of Technology, Pauri Garhwal | India

Prof. (Dr.) Anil Kumar Gautam is a distinguished scholar and academic leader in the field of Electronics and Communication Engineering with extensive experience in antenna design, wireless communications, and microwave engineering. He earned his BE in Electronics and Communication Engineering from Kumaon Institute of Technology and completed his PhD at the Indian Institute of Technology, Banaras Hindu University, focusing on active microstrip antennas for frequency-agile operations. With over two decades of academic experience, he has served as Professor at G B Pant Institute of Engineering and Technology, and Gautam Buddha University, holding key administrative positions including Dean, Head of Department, and Registrar. Dr. Gautam’s research expertise spans microstrip antennas, DGS microstrip antennas, ultrawideband (UWB) antennas, reconfigurable antennas, circularly polarized antennas, and MIMO/massive MIMO systems. He has supervised several PhD theses on advanced antenna design and wireless applications. Recognized for his contributions, he has received prestigious awards such as the Governor’s Award for Best Research Paper (2019), Education Leadership Award (2018), and was nominated for the Shanti Swarup Bhatnagar Prize for Science & Technology. Prof. Gautam actively contributes to the academic community as an editor and member of professional societies including IEEE, IETE, and multiple university boards. His work bridges theoretical research with practical applications, advancing antenna technology and wireless communication systems globally.

Profile: Google Scholar

Featured Publications

Chandel, R., Gautam, A. K., & Rambabu, K. (2018). Tapered fed compact UWB MIMO-diversity antenna with dual band-notched characteristics. IEEE Transactions on Antennas and Propagation, 66(4), 1677–1684.

Gautam, A. K., Yadav, S., & Kanaujia, B. K. (2013). A CPW-fed compact UWB microstrip antenna. IEEE Antennas and Wireless Propagation Letters, 12, 151–154.

Gautam, A. K., Kumar, L., Kanaujia, B. K., & Rambabu, K. (2015). Design of compact F-shaped slot triple-band antenna for WLAN/WiMAX applications. IEEE Transactions on Antennas and Propagation, 64(3), 1101–1105.

Farswan, A., Gautam, A. K., Kanaujia, B. K., & Rambabu, K. (2015). Design of Koch fractal circularly polarized antenna for handheld UHF RFID reader applications. IEEE Transactions on Antennas and Propagation, 64(2), 771–775.

Gautam, A. K., Yadav, S., & Rambabu, K. (2018). Design of ultra‐compact UWB antenna with band‐notched characteristics for MIMO applications. IET Microwaves, Antennas & Propagation, 12(12), 1895–1900.

Chandel, R., & Gautam, A. K. (2016). Compact MIMO/diversity slot antenna for UWB applications with band‐notched characteristic. Electronics Letters, 52(5), 336–338.

Mr. Muhammad Aoun | Cross-Cultural Leadership | Best Researcher Award

Published on 25/10/202525/10/2025 by Leadership and Management

Mr. Muhammad Aoun | Cross-Cultural Leadership | Best Researcher Award

Mir chakar Khan rind university of technology Dera Ghazi khan | Pakistan

Muhammad Aoun is a technology enthusiast and emerging professional with expertise in web development, database management, and cybersecurity. He has developed a solid foundation in PHP, HTML, MySQL, and Post, applying these skills in both academic and practical projects. His interests extend to machine learning, cybersecurity, and data analytics, demonstrated by his completion of multiple advanced certifications from globally recognized institutions, including Google Analytics Academy, IBM, Duke University, University of London, and CISCO. He has gained hands-on experience in advanced Google Analytics, Google Tag Manager, machine learning with Python, and foundational cybersecurity practices, including Security Operations Center (SOC) operations. Additionally, he actively participated in cybersecurity training workshops, further strengthening his technical and analytical capabilities. Aoun’s work reflects a commitment to leveraging technology for problem-solving and optimizing digital and data-driven processes. Through his ongoing pursuit of knowledge and skills in machine learning, cybersecurity, and data analysis, he is positioned to contribute effectively to technological innovation, secure systems design, and digital transformation initiatives. Recognized for his dedication and achievement in multiple domains of technology, Aoun continues to build a versatile skill set, combining web development, analytics, and cybersecurity to address contemporary challenges in IT and digital solutions.

Profile: Google Scholar

Featured Publications

Ahmed, U., Iqbal, K., Aoun, M., & Khan, G. (2023). Natural language processing for clinical decision support systems: A review of recent advances in healthcare. Journal of Intelligent Connectivity and Emerging Technologies, 8(2), 1–17.

Dahal, S. B., & Aoun, M. (2023). Exploring the role of machine translation in improving health information access for linguistically diverse populations. Journal of Intelligent Information Systems, 8(2), 4–6.

Idress, W. M., Abouda, K. A., Javed, R., Aoun, M., Ghadi, Y. Y., Shahzad, T., … (2025). Hybrid segmentation and 3D imaging: Comprehensive framework for breast cancer patient segmentation and classification based on digital breast tomosynthesis. Biomedical Signal Processing and Control, 100, 106992.

Aoun, M., & Sandhu, A. K. (2019). Understanding the impact of AI-driven automation on the workflow of radiologists in emergency care settings. Journal of Intelligent Connectivity and Emerging Technologies, 4(6), 1–15.

Ibrahim, F., & Aoun, M. (2022). Improving query efficiency in heterogeneous big data environments through advanced query processing techniques. Journal of Contemporary Healthcare Analytics, 6(6), 40–64.

Umar, H. G. A., Yasmeen, I., Aoun, M., Mazhar, T., Khan, M. A., & Jaghdam, I. H. (2025). Energy-efficient deep learning-based intrusion detection system for edge computing: A novel DNN-KDQ model. Journal of Cloud Computing, 14(1), 32.

Assoc. Prof. Dr. Alireza Amini | Adaptive Leadership | Excellence in Leadership and Management Award

Published on 25/10/2025 by Leadership and Management

Assoc. Prof. Dr. Alireza Amini | Adaptive Leadership | Excellence in Leadership and Management Award

Shiraz University | Iran

Dr. Alireza Amini is an Associate Professor at Shiraz University with a strong academic foundation in behavioral and business management. He earned his Ph.D. in Behavioral Management from Ferdowsi University of Mashhad, where his doctoral research explored stewardship behavior characteristics in organizational contexts. His master’s degree in Business Management and bachelor’s in Public Management were both obtained from the University of Tehran, complemented by a postdoctoral research position focused on organizational behavior. Dr. Amini’s research primarily centers on behavioral management, human resource development, organizational behavior, and the interface between academia and industry. He has led several applied research projects in collaboration with the Fars Regional Electricity Company, addressing employee training needs, occupational profiling, and retirement satisfaction. Recognized nationally for his scholarly excellence, Dr. Amini has received multiple awards, including the Top Young Researcher Award at Shiraz University and the Ministry of Science’s recognition as a leading technology researcher in humanities and arts. In addition, he serves as Assistant Editor of the Iranian Journal of Management Studies (IJMS). Through his research and mentorship, Dr. Amini continues to bridge academic insights with practical industry applications, contributing significantly to Iran’s management and organizational development landscape.

Profile: Google Scholar

Featured Publications

Amini, A., Darani, M., Afshani, M., & Amini, Z. (2012). Effectiveness of marketing strategies and corporate image on brand equity as a sustainable competitive advantage. Interdisciplinary Journal of Contemporary Research in Business, 4(2), 192–205.

Mortazavi, S., Shalbaf Yazdi, S. V., & Amini, A. (2012). The role of the psychological capital on quality of work life and organization performance. Interdisciplinary Journal of Contemporary Research in Business, 4, 90.

Amini, A., & Alimohammadlou, M. (2021). Toward equation structural modeling: An integration of interpretive structural modeling and structural equation modeling. Journal of Management Analytics, 8(4), 693–714.

Karimi Mazidi, A. R., Amini, A., & Latifi, M. (2014). The impact of information technology capability on firm performance: A focus on employee-customer profit chain. Interdisciplinary Journal of Management Studies, 7(1), 95–120.

Mostafa, K., Batool, R., Parvaneh, P., & Alireza, A. (2013). Identify and ranking factors affecting Bank Maskan service quality using Kano model. Research Journal of Recent Sciences, 22.

Amini, A., & Mortazavi, S. (2012). Effectiveness of psychological capital on mistake management culture as a resource for learning in organization. International Journal of Human Sciences, 9(2), 339–348.

Amini, A., & Mortazavi, S. (2013). The impact of the broadcasting mistake management culture in a healthy organization on the quality of the personnel work life. Journal of Clinical and Diagnostic Research (JCDR), 7(3), 507.