Paul Yohanna l Civil Engineering | Research Excellence Award

Dr. Paul Yohanna l Civil Engineering | Research Excellence Award

Kampala International University | Uganda

Dr. Paul Yohanna is a civil engineering academic and consultant with strong expertise in geotechnical engineering, construction materials, structural mechanics, and infrastructure sustainability. He holds a Ph.D., M.Sc., and B.Eng. in Civil Engineering and has extensive university-level teaching experience in strength of materials, fluid dynamics, hydrology, and engineering materials. His professional experience spans lecturing, consulting for development projects, and applied research in construction and geotechnics. His research interests include sustainable construction materials, geotechnical characterization, infrastructure resilience, and engineering education, supported by skills in laboratory testing, data analysis, field investigations, and scholarly publishing, with conference participation reflecting continuous professional development and academic leadership.

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Maria Guerra l Saúde Materna | Research Excellence Award

Prof. Dr. Maria Guerra l Saúde Materna | Research Excellence Award

Escola Superior de Enfermagem da Universidade do Porto | Portugal

Prof. Dr. Maria Guerra is an assistant professor in nursing with advanced academic training, including a PhD in Nursing, a master’s degree, and specialist postgraduate qualifications, complemented by extensive pedagogical and clinical expertise. Her professional experience spans university teaching, postgraduate course coordination, clinical supervision, and prior specialist practice in maternal and obstetric nursing across diverse healthcare institutions. Her research interests focus on maternal health, urinary incontinence, wound and continence care, mental health in pregnancy, and evidence-based nursing. She demonstrates strong research skills in systematic reviews, instrument validation, scientific writing, peer review, and international publication. Her career reflects academic excellence, scholarly impact, and sustained contributions to nursing science and education.

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Ansar Shah l Big Data | Research Excellence Award

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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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

Maaz Ali Khan l Continumm Mechanics | Research Excellence Award

Mr. Maaz Ali Khan l Continumm Mechanics | Research Excellence Award

University of Buner | Pakistan

Mr. Maaz Ali Khan is a mathematician specializing in solid mechanics with strong expertise in continuum mechanics, thermoelasticity, mathematical physics, and computational solid mechanics. Mr. Maaz Ali Khan holds a PhD in Mathematics from Qurtuba University of Science and Technology, an M.Phil. from COMSATS University Islamabad, and a BS in Mathematics from the University of Swat with outstanding academic performance and top academic honors. Mr. Maaz Ali Khan is serving as a Lecturer at the University of Buner, teaching undergraduate and postgraduate mathematics and mechanics courses. Mr. Maaz Ali Khan has authored multiple high-impact research publications, demonstrating advanced research skills in mathematical modeling, wave propagation, thermoelastic theories, and applied solid mechanics research.

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Featured Publications

Khan, M. A., Moussa, S. B., Jahangir, A., & Riaz, U. (2025).
Microstructure-Driven Wave Energy Control in Temperature-Dependent Fiber-Reinforced Composites: A Unified Micropolar Thermoelastic Model and Data-Driven Design.
Results in Engineering, 108811.
Khan, M. A., Jahangir, A., Rahman, A., Mahmoud, E. E., & Almuzaini, M. (2025).
Global Sensitivity Analysis of Wave Behavior in Rotating Solids with Laser-Induced Thermal and Stress Effects.
Mechanics of Solids, 1–24.
Khan, M. A., Kouki, M., Jahangir, A., Riaz, U., & Rahman, A. (2025).
Reflection of Coupled Transverse Waves in Nonlocal Micropolar Thermoelastic Media with Three-Phase-Lag Model.
Case Studies in Thermal Engineering, 106926.
Ullah, I., Khan, M. A., Abo-Dahab, S. M., Dar, A., Sial, M. R., Albalwi, M. D., & Jahangir, A. (2024).
Study on Impact of Variable Thermal Conductivity or Laser Pulse on Reflected Elastic Waves in a Semiconductor Medium.
Acoustical Physics, 70(2), 278–287.
Ullah, I., Khan, M. A., Abo-Dahab, S. M., Dar, A., Sial, M. R., Albalwi, M. D., & Jahangir, A. (2024).
Erratum to: Study on Impact of Variable Thermal Conductivity or Laser Pulse on Reflected Elastic Waves in a Semiconductor Medium.
Acoustical Physics, 70(3), 592.

Amani Alsam l Data Analysis | Research Excellence Award

Assist. Prof. Dr. Amani Alsam l Data Analysis | Research Excellence Award

Jazan University | Saudi Arabia

Assist. Prof. Dr. Amani Alsam is an academic researcher specializing in physical chemistry and ultrafast spectroscopy, with expertise in photoinduced charge transfer and excited-state dynamics in molecular and condensed-matter systems. Assist. Prof. Dr. Amani Alsam earned a PhD from KAUST, an MSc from the University of Waterloo, and a BSc from Jazan University, and has held academic and research positions at Jazan University and as a Visiting Research Scholar at the University of Michigan. Her research interests include donor–acceptor materials, conjugated polymers, hybrid interfaces, and semiconductor nanostructures, supported by advanced skills in ultrafast laser spectroscopy, 4D scanning ultrafast electron microscopy, materials synthesis, and device fabrication. Assist. Prof. Dr. Amani Alsam has received competitive scholarships and national research support, contributing impactful publications that advance energy, optoelectronic, and radiation-responsive materials research.

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Featured Publications

Effect of Conjugation Length on Photoinduced Charge Transfer in π-Conjugated Oligomer–Acceptor Dyads
The Journal of Physical Chemistry A, 2017, 121(26), 4891–4901
Bimolecular Excited-State Electron Transfer with Surprisingly Long-Lived Radical Ions
The Journal of Physical Chemistry C, 2015, 119(38), 21896–21903
Role of Ag Nanowires and MXenes in Optimizing Flexible, Semitransparent Bifacial Inverted Perovskite Solar Cells for Building-Integrated Photovoltaics: A SCAPS-1D Modeling Approach
Advanced Theory and Simulations, 2025, 8(3), 2401004
Enhanced Luminescence and Quenching Mechanisms in Na⁺/Co-Doped K₇CaY₂(B₅O₁₀)₃:Tb³⁺ Phosphors under UV Radiation
Applied Radiation and Isotopes, 20

Shaokai Wang l Engineering Geology | Research Excellence Award

Dr. Shaokai Wang l Engineering Geology | Research Excellence Award

North China University of Water Resources and Electric Power | China

Dr. Shaokai Wang is a geological engineering scholar with a Ph.D. in Geological Engineering and academic affiliation at North China University of Water Resources and Electric Power. With five years of teaching and research experience, Dr. Shaokai Wang has contributed to undergraduate and postgraduate instruction while advancing scientific research. His research interests focus on geological engineering, geotechnical engineering, loess geohazards, soil improvement technologies, and disaster mechanisms. He has led and participated in National Natural Science Foundation of China projects, published SCI-indexed journal articles, and developed strong research skills in field investigation, laboratory testing, numerical analysis, and academic writing. His work demonstrates sustained innovation and growing academic impact in geological engineering.

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Static liquefaction capacity of saturated undisturbed loess in South Jingyang platform
Water (Switzerland), 2020

Article · Open Access · Co-authored · Citations: 11

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

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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Maria Adam | Spectrum localization | Research Excellence Award

Dr. Maria Adam | Spectrum localization | Research Excellence Award

 University of Thessaly | Greece

Dr. Maria Adam is a Professor in the Department of Computer Science and Biomedical Informatics at the University of Thessaly, Greece, with extensive expertise in spectral analysis, numerical ranges, numerical linear algebra, and matrix theory with applications to systems theory, algorithms, graphs, statistics, and biostatistics. She earned her PhD in Mathematics from the National Technical University of Athens, following a BSc in Mathematics from the University of Athens. Dr. Maria Adam has a distinguished academic career spanning professorial roles, international teaching appointments, and participation in major national and industrial research projects. She is an active journal reviewer, editorial board member, and conference organizer, contributing significantly to mathematical sciences research and education.

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Curves and Spectrum Localization of Real Matrices

– Linear Algebra and Its Applications, Vol. 733, 2026

Selection of the Fastest Solution of the Complex Riccati Equation

– WSEAS Transactions on Systems and Control, Vol. 19, 2024

I/O SNR and Noise Covariances Norm Ratio Relation in Kalman Filter

– WSEAS Transactions on Systems and Control, Vol. 19, 2024

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

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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Mohammed Almulla | Prescriptive Analytics | Research Excellence Award

Prof. Mohammed Almulla | Prescriptive Analytics | Research Excellence Award

Kuwait University | Kuwait

Prof. Mohammed Almulla is a distinguished computer scientist with a Ph.D. from McGill University, Canada. He has served Kuwait University for over three decades, progressing from Assistant Professor to Professor, and held key administrative roles including Department Chair and Acting Vice President. His research focuses on artificial intelligence, automated theorem proving, database systems, and digital transformation in education. He contributed to ABET accreditation, ICT infrastructure, and eLearning initiatives, and actively participates in international conferences and journal reviews. Recognized for his leadership and innovation, he has received awards for informatics excellence, fostering advancements in computing education and research.

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Top 5 Publications

Data-Driven Anesthesia: An Ensemble Model for Propofol and Remifentanil Dosage Control During Medical Surgery

International Journal of Research and Scientific Innovation, 2025
DOI: 10.51244/ijrsi.2025.121500017p
Authors: Abas Almaayofi, Farah Almulla, Mohammed A. Almulla
A Trust-Based Global Expert System for Disease Diagnosis Using Hierarchical Federated Learning

Journal of Engineering Research, 2025
DOI: 10.1016/j.jer.2025.03.001
Authors: Farah M. Almulla, Mohammed A. Almulla
A Novel CLIPS-Based Medical Expert System for Migraine Diagnosis and Treatment Recommendation

Kuwait Journal of Science, 2025
DOI: 10.1016/j.kjs.2024.100310
Author: Mohammed A. Almulla
On the Effect of Prior Knowledge in Text-Based Emotion Recognition

International Journal of Research and Scientific Innovation, 2024
DOI: 10.51244/ijrsi.2024.1108005
Author: Mohammed A. Almulla
Facial Expression Recognition Using Deep Convolution Neural Networks

IEEE Annual Congress on Artificial Intelligence of Things (AIoT), 2024
DOI: 10.1109/aiot63253.2024.00022
Author: Mohammed A. Almulla