Shelley Schmollgruber l Emergency Nursing | Excellence in Research

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Prof. Shelley Schmollgruber l Emergency Nursing | Excellence in Research

University of the Witwatersrand | South Africa

Shelley Schmollgruber is an Associate Professor in the School of Therapeutics, Faculty of Health Sciences, University of the Witwatersrand. She is an experienced critical care nurse academic with extensive national and international leadership in intensive and critical care nursing. Her work spans clinical practice, education, research, and health policy, with a strong focus on sepsis, evidence-based practice, end-of-life care, and critical care nursing education in low- and middle-income settings. She has served on multiple global and African professional bodies and has received numerous awards for research excellence, publications, and contributions to advancing critical care nursing practice and policy.

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Ansar Shah l Big Data | Research Excellence Award

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Assoc. Prof. Dr. Ansar Shah l Big Data | Research Excellence Award

University of Southern Punjab Multan | Pakistan

Dr. Ansar Munir Shah is an Associate Professor of Computer Science with extensive experience in teaching, research, academic leadership, and curriculum development at undergraduate and graduate levels. Dr. Ansar Munir Shah holds a PhD in Computer Science from the University of Technology Phnom Penh, Cambodia, and is an HEC-approved PhD supervisor with strong academic credentials. Dr. Ansar Munir Shah has served in prominent academic roles at EM&E College (NUST), King Khalid University, and ISP Multan, earning multiple awards for committee service and academic excellence. Dr. Ansar Munir Shah’s research interests include wireless sensor networks, IoT, cloud computing, cybersecurity, and AI-driven network and data security.

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134

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Featured Publications

Big Data Meets Jugaad: Cultural Innovation Strategies for Sustainable Performance in Resource-Constrained Developing Economies
– Sustainability, 2025
DOI: 10.3390/su17157087
Dynamic and Integrated Security Model in Inter Cloud for Image Classification
– Foundation University Journal of Engineering and Applied Sciences, 2024
DOI: 10.33897/fujeas.v4i1.874
Efficient Energy and Delay Reduction Model for Wireless Sensor Networks
– Computer Systems Science and Engineering, 2023
DOI: 10.32604/csse.2023.030802
ILSM: Incorporated Lightweight Security Model for Improving QoS in WSN
– Computer Systems Science and Engineering, 2023
DOI: 10.32604/csse.2023.034951
Improved-Equalized Cluster Head Election Routing Protocol for Wireless Sensor Networks
– Computer Systems Science and Engineering, 2023
DOI: 10.32604/csse.2023.025449

Adogbeji Victor l Mechanical Engineering | Research Excellence Award

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Dr. Adogbeji Victor l Mechanical Engineering | Research Excellence Award

University of Johannesburg | South Africa

Dr. Adogbeji Victor is a senior urologist and academic clinician with extensive experience in clinical urology, nephro-urology, and medical education. Dr. Adogbeji Victor completed medical training at Niigata University and earned a PhD from Jichi Medical University, followed by progressive academic and leadership roles in university hospitals and major medical centers. His professional experience includes serving as department chief, lecturer, clinical professor, and visiting research fellow in the United States. Dr. Adogbeji Victor’s research interests focus on urological diseases, surgical outcomes, and clinical management, supported by strong skills in urological surgery, clinical research, and teaching. His career reflects sustained academic contribution, hospital leadership, and commitment to advancing urological practice.

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Featured Publications


Experimental Investigation into Heat Transfer and Flow Characteristics of Magnetic Hybrid Nanofluid (Fe₃O₄/TiO₂) in the Turbulent Region
– Applied Thermal Engineering, 2025, 258, 124630

Magnetohydrodynamics of Nanofluid Internal Forced Convection: A Review and Outlook for Practical Applications
– Results in Physics, 2024, 108082

Experimental Investigation of Heat Transfer Enhancement, Thermal Efficiency, and Pressure Drop in Forced Convection of Magnetic Hybrid Nanofluid (Fe₃O₄/TiO₂)
– Case Studies in Thermal Engineering, 2024, 63, 105313

Design, Construction and Performance Evaluation of a Low-Cost Electric Baking Oven
– Innovative Systems Design and Engineering, 2012, 3(11), 38–49
Experimental Investigation and Machine Learning Modeling of the Effects of Hybridization Mixing Ratio, Nanoparticle Type, and Temperature on Thermophysical Properties
– Journal of Thermal Analysis and Calorimetry, 2025

Ibrahim Momoh-Bello Omiogbemi l Engineering | Worldwide Excellence in Research Analytics Advancement Award

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Assist. Prof. Dr. Ibrahim Momoh-Bello Omiogbemi l Engineering | Worldwide Excellence in Research Analytics Advancement Award

Nile University of Nigeria | Nigeria

Assist. Prof. Dr. Ibrahim Momoh-Bello Omiogbemi is a Mechanical Engineering academic and researcher with over eight years of teaching, research, and industry experience in materials, production, and welding engineering. He holds a Ph.D., M.Sc., and B.Eng. in Mechanical/Materials and Production Engineering, complemented by certifications in project management, leadership, health and safety, and management. He has served in reputable institutions including Nile University of Nigeria and the Air Force Institute of Technology. His research focuses on welding electrodes, duplex stainless steels, corrosion, and mechanical behavior of engineering materials. He is a recipient of multiple international awards, fellowships, and scholarships, reflecting his strong commitment to impactful research, innovation, and capacity building in engineering education and applied materials science.

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Fulufhelo Hope Mudau | Real World Case Studies | Research Excellence Award

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Dr. Fulufhelo Hope Mudau | Real World Case Studies | Research Excellence Award

 University of South Africa | South Africa

Fulufhelo H. Mudau, PhD (Chem) is a South African chemist and postdoctoral fellow at the University of South Africa, Institute of Nanotechnology and Water Sustainability, with strong expertise in membrane science, water treatment, and nanomaterials. She holds a PhD in Chemistry, along with an MSc in Chemistry, BSc Honours, and a BSc in Chemistry and Applied Chemistry. Her professional experience includes postdoctoral research, e-tutoring, laboratory teaching, project administration, and water and wastewater operations. Her research interests focus on ion exchange membranes, polymer–nanoparticle interactions, and sustainable water technologies, supported by strong skills in experimental design, analytical chemistry, data analysis, and academic supervision. Fulufhelo H. Mudau, PhD (Chem) has received multiple awards for innovation, research excellence, and science communication, reflecting her commitment to impactful research, education, and youth development.

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Seema Irshad | Psychology | Women Researcher Award

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Dr. Seema Irshad | Psychology | Women Researcher Award

King Faisal University | Saudi Arabia

Dr. Seema Irshad is an Assistant Professor of Psychology with more than a decade of experience in higher education, research, and clinical practice. She earned her PhD in Psychology from Aligarh Muslim University, developing a strong academic foundation in psychological theory, research methodology, and applied practice. Her academic career has been primarily associated with a leading public university in the Kingdom of Saudi Arabia, where she has contributed extensively to undergraduate and graduate teaching, curriculum design, and academic coordination. Her teaching expertise spans abnormal psychology, cognitive processes, work motivation, and applied psychology, with a strong emphasis on student-centered and technology-enhanced learning. In parallel, she has been actively engaged in research through national and international collaborations, including earlier work as a research assistant and junior project fellow on large-scale public health and educational research projects. Her research interests focus on mental health, psychosocial interventions, psychometric assessment, systematic reviews, and the emerging role of artificial intelligence in psychological practice. She has published more than 20 scholarly papers and has presented research at numerous academic conferences. Her contributions include successful involvement in competitive research grants and sustained mentorship of students and early-career researchers. Overall, her work reflects a strong commitment to advancing psychological science, improving mental health outcomes, and fostering academic excellence through teaching, research, and mentorship.

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Patrick Dangla | Engineering | Research Excellence Award

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Dr. Patrick Dangla | Engineering | Research Excellence Award

 Ecole nationale des ponts et chaussées | France

Dr. Patrick Dangla is a senior researcher and internationally recognized expert in civil and geotechnical engineering, with strong academic links to Southeast University and Tsinghua University. He obtained his Bachelor’s degree in Civil Engineering in 1982, a PhD in Civil Engineering from École des Ponts ParisTech in 1989, and completed his Habilitation in Civil Engineering in 2000, focusing on energy-based and numerical approaches for unsaturated porous media. His academic and research career spans more than three decades, during which he has led and contributed to major national and international research projects on CO₂ geological storage, salt crystallization, gas-hydrate-bearing sediments, and accelerated carbonation of recycled concrete. His research interests include poromechanics, coupled hydro-mechanical and chemo-mechanical processes, durability of cementitious materials, carbonation, sulfate attack, reactive transport, and multi-scale modeling of porous media. Dr. Dangla has supervised or co-supervised more than 25 PhD candidates and actively collaborates with leading institutions and industry partners, including Electricité de France and Tsinghua University. He has authored 121 scientific documents, receiving 6,061 citations from 4,940 documents, with an h-index of 36, reflecting his strong scientific impact. Through extensive publications, project leadership, and doctoral mentoring, Dr. Dangla has made lasting contributions to sustainable construction materials, energy-related geomechanics, and advanced modeling in civil engineering.

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Mahbouba Nasraoui | Regression Analysis | Research Excellence Award

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Dr. Mahbouba Nasraoui | Regression Analysis | Research Excellence Award

University of Burgundy | France

Dr. Mahbouba Nasraoui is a researcher and lecturer in finance whose work examines the intersections of economic policy uncertainty, ESG practices, market behavior, and corporate decision-making. She holds advanced academic qualifications, including a doctorate in finance, and has taught at institutions such as IAE Dijon and the Faculty of Economics and Management, where she has delivered courses in corporate finance, financial principles, management control, and derivatives. Her professional background spans higher education, professional training, and corporate financial management, offering her a multidisciplinary perspective that enriches her research and teaching. Dr. Nasraoui has published in reputable journals, including Economic Modelling and The Journal of Risk Finance, with studies exploring investment inefficiency, stock market liquidity, and investor sentiment. She has presented her work at several international conferences in France and Tunisia, contributing to discussions on sustainability, ethics, monetary policy, and financial markets. Her research interests include economic policy uncertainty, behavioral finance, ESG integration, financial decision-making, and market microstructure. In recognition of her academic engagement, she continues to collaborate with research teams and participate in scientific events. Dr. Nasraoui strives to advance knowledge in finance while fostering rigorous, engaged learning environments for her students.

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Featured Publications

Nasraoui, M., Ajina, A., & Herve, F. (2025). Economic Policy Uncertainty, ESG Practices, and Investment Inefficiency in U.S. Firms. Economic Modelling. https://doi.org/10.1016/j.econmod.2025.107414

Nasraoui, M., Ajina, A., & Kahloul, A. (2024). The influence of economic policy uncertainty on stock market liquidity? The mediating role of investor sentiment. The Journal of Risk Finance. https://doi.org/10.1108/JRF-06-2023-0129

Piotr Porwik | Machine Learning and AI Applications | Best Researcher Award

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Prof. Dr. Piotr Porwik | Machine Learning and AI Applications | Best Researcher Award

University of Silesia | Poland

Prof. Dr. Piotr Porwik is a full professor in the Institute of Computer Science at the University of Silesia in Katowice, specializing in engineering and technical sciences. He earned his M.Sc. in computer science from the University of Silesia in 1978, his Ph.D. in 1985, and completed his habilitation in 2006 at AGH University of Science and Technology in Krakow. His research spans machine learning, biometrics, image processing, biomedical imaging, and spectral methods for Boolean functions. Across his career, he has authored 81 scientific documents that have attracted 1,003 citations from 783 citing documents, and he holds an h-index of 17. He has published extensively in journals, international conferences, books, and book chapters, while also supervising Master’s and Ph.D. students. Prof. Porwik has served in major academic leadership roles, including Deputy Dean and Director of the Institute, and played a key role in shaping academic publishing as Editor-in-Chief of the Journal of Medical Informatics and Technologies. His achievements have been recognized through numerous distinctions, including the Bronze Cross of Merit and multiple awards from the President of the University of Silesia for scientific accomplishments. His work continues to advance biometric security, classifier development, and biomedical informatics, underscoring his long-standing academic influence and research innovation.

Profiles : Scopus | Orcid

Featured Publications

Wrobel, K., Porwik, P., & Orczyk, T. (2025). “Evaluation of the Effectiveness of Ranking Methods in Detecting Feature Drift in Artificial and Real Data” in (Book) / Lecture Notes in?

Mensah Dadzie, B., & Porwik, P. (2025). “Feature-Based Drift Detection in Non-stationary Data Streams Using Multiple Classifiers: A Comprehensive Analysis” in (Book)

Porwik, P., Orczyk, T., Wrobel, K., & Mensah Dadzie, B. (2025). “A Novel Method for Drift Detection in Streaming Data Based on Measurement of Changes in Feature Ranks” in Journal of Artificial Intelligence and Soft Computing Research, (DOI: 10.2478/jaiscr-2025-0008).

Porwik, P., Orczyk, T., & Japkowicz, N. (2024). “Supervised and Unsupervised Analysis of Feature Drift in a New Type of Detector” in Preprint (Research Square)

Porwik, P., Orczyk, T., & Doroz, R. (2022). “A Stable Method for Detecting Driver Maneuvers Using a Rule Classifier” in Lecture Notes in Computer Science

Serges Kikwani | Mechanics of Solids | Best Researcher Award

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Dr. Serges Kikwani | Mechanics of Solids | Best Researcher Award

Laboratory of Mechanics and Acoustics (LMA) | Congo, Democratic Republic of the

Dr. Serges Kikwani is a PhD Research Scholar in Solid Mechanics at the Laboratory of Mechanics and Acoustics (LMA), Aix-Marseille University, France, where his research focuses on modeling thermomechanical coupling in adhesive bonding through experimental, analytical, and numerical methods. He holds a DEA in Applied Fluid Mechanics and an Engineering degree in Mechanical Construction from the University of Kinshasa, DRC. With extensive academic and industrial experience, Dr. Kikwani has contributed to mechanical design, thermodynamic solar pumping systems, and infrastructure projects in collaboration with JICA and other institutions. He has held teaching and research positions at multiple universities, including the University of Kinshasa, Loyola University, and the American University of Kinshasa, coordinating academic programs and mentoring students. His research interests encompass materials mechanics, structural adhesives, thermal characterization, and energy-efficient systems. He has published studies on thermal and viscoelastic characterization of adhesives, introducing non-destructive methods using PZT resonance and inverse finite element analysis to determine dynamic material properties. Recognized for his contributions to adhesive materials research, he was nominated for the Best Researcher Award for advancing understanding of dynamic and vibratory behavior in polymers. His work supports the development of more reliable and efficient structural bonding solutions, bridging theoretical, numerical, and experimental approaches in solid mechanics.

Profile: Orcid

Featured Publications

Kikwani, S. (2025). “Thermal characterization of adhesives and studies of CTR between metal and adhesives.” In Proceedings, Springer.

Kikwani, S. (2025). “Multi-Scale Characterization of Viscoelastic Properties in Structural Adhesives Using PZT Resonance and Non-Contact Impulse Validation.” Results in Engineering, November 6, 2025.

Kikwani, S. (2025). “Thermal characterization of adhesives and studies of CTR between metal and adhesives.” 8th International Conference on Adhesive Bonding 2025, Porto, Portugal, July 11, 2025.