Mahmoud Ahmad l Water Management Resources | Excellence in Research

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Mr. Mahmoud Ahmad l Water Management Resources | Excellence in Research

Széchenyi István University | Hungary

Mr. Mahmoud Ahmad is a PhD student in Civil Engineering at Széchenyi István University with academic and professional expertise in water management resources and civil engineering practice. His education includes a PhD in progress, an MSc in Water and Irrigation Engineering, and a BSc in Civil Engineering, supported by strong academic distinction. His professional experience covers lecturing in water and irrigation engineering at Tishreen University and managing post-earthquake construction projects as a site civil engineer. Mr. Mahmoud Ahmad’s research interests focus on groundwater–surface water interaction, water resources management, and climate-change adaptation, supported by advanced modeling, GIS-based analysis, and recognized academic awards, reflecting strong potential for impactful research and practice.

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Featured Publications

Maaz Ali Khan l Continumm Mechanics | Research Excellence Award

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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.

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

Michele Matera l Vector Control | Research Excellence Award

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Mr. Michele Matera l Vector Control | Research Excellence Award

Liverpool School of Tropical Medicine | Germany

Michele Matera is a PhD student at the Liverpool School of Tropical Medicine, specializing in innovative control of urban malaria vectors. Michele Matera earned his Bachelor’s in Agro-Industrial Biotechnology and Master’s in Biotechnology and Genomics for the Industry and the Environment from Sapienza University of Rome, including an Erasmus+ Traineeship at the Institute for Molecular Biology and Biotechnology in Crete, Greece. Michele Matera has extensive experience in vector control through his thesis projects and professional work. His research interests include vector biology, genomic approaches, and sustainable disease control. Michele Matera is skilled in molecular biology, genomics, and applied entomology and has been recognized for academic excellence and innovation.

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Featured Publications

Susceptibility of Anopheles stephensi SDA500 Strain to Common Insecticides and Efficacy of Glazed Tile Bioassay for Resistance Characterization


Current Research in Parasitology & Vector-Borne Diseases, 2026
| Michele Matera, Melanie Nolden, Sebastian Horstmann, Derric Nimmo, Mark J.I. Paine, David Weetman

 

Integrated De Novo Transcriptome of Culex pipiens Mosquito Larvae as a Resource for Genetic Control Strategies


Scientific Data, 2024
| Mastrantonio, V.; Libro, P.; Di Martino, J.; Matera, M.; Bellini, R.; Castrignanò, T.; Urbanelli, S.; Porretta, D.

 

Mohd Faizan l Diagnostic Analytics | Research Excellence Award

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Mr. Mohd Faizan l Diagnostic Analytics | Research Excellence Award

University of Lille | France

Mohd Faizan is a PhD Candidate in Control Systems at the University of Lille, France, specializing in resilience control, fault-tolerant systems, power electronics, and DC microgrids. He holds an M.Tech and B.E. in Electrical Engineering from Aligarh Muslim University with first-class distinction. His professional experience includes PhD research at CRIStAL Laboratory on RTTR-based performance degradation prediction and prior research at NTUST, Taiwan, on LSTM-based PV fault detection. His research interests span resilience control, fault diagnosis, DC microgrids, and ML for control, supported by strong skills in MATLAB, Python, power converters, and hardware prototyping. He has received multiple scholarships, academic honors, and IEEE publications, positioning him for impactful research and engineering roles.

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Featured Publications

Online Estimation of Remaining Time to Recovery to Enhance Resilience Using Bond Graph Based Power Loss Estimation


IFAC Journal of Systems and Control, 2026
| Mohd Faizan, Mahdi Boukerdja, Anne Lise Gehin, Belkacem Ould Bouamama, Sumit Sood

Non-Linear Control of Interleaved Boost Converter Using Disturbance Observer-Based Approach


IEEE Access, 2025
| Avinash Mishra, Sanjoy Mandal, Jean-Yves Dieulot, Mrinal R. Bachute, Mohd Faizan et al.

Long Short-Term Memory-Based Feedforward Neural Network Algorithm for Photovoltaic Fault Detection Under Irradiance Conditions


IEEE Transactions on Instrumentation and Measurement, 2024
| Nien-Che Yang, Mohd Faizan

 

Design of 31-Level Asymmetrical Inverter With Reduced Components


International Journal of Circuit Theory and Applications, 2022

Design of Single Phase Five Level Packed U-Cell Inverter for Standalone and Grid Connected Modes


IEEE SEFET 2022 – International Conference on Sustainable Energy and Future Electric Transportation

Mohammad Alahmad | Machine Learning Applications | Best Researcher Award

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Dr. Mohammad Alahmad | Machine Learning Applications | Best Researcher Award

 University of Greenwich | United Kingdom

Mohammad Al AHMAD is a dedicated part-qualified ACCA professional and experienced Accounting and Financial Management lecturer with extensive higher-education teaching, research, and financial analysis expertise. He holds a PhD in Accounting and Financial Management from the University of Portsmouth, an MSc in Accounting and Finance from Bath Spa University, an MSc in Finance, and a BSc in Accounting and Financial Management. His professional experience spans senior and lecturer roles at Anglia Ruskin University, Arden University, University of Portsmouth, and others, alongside FP&A experience at Oliver Wyman. His research interests include risk disclosure, big data analytics, financial reporting quality, and governance, supported by strong quantitative, coding, and statistical research skills. His academic contributions include peer-reviewed publications, teaching certifications, and international recognition, reflecting a sustained commitment to excellence in education, research, and inclusive academic leadership.

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Top Publications

Fahad Ali*, Muhammad Ahmar, YueXiang Jiang*, Mohammad Alahmad* (Forthcoming).

A Techno-economic Assessment of Hybrid Energy Systems in Rural Pakistan


Energy (SCI, Impact Factor: 6.082, Q1 Journal)

Fahad Ali*, RongRong He, Mohammad Alahmad*, YueXiang Jiang (Accepted).

Social Acceptance of Solar Technology in Developing Countries: Lessons for Pakistan


Journal of the Asian Economic Community (Journal launch & indexing in progress)

Fahad Ali, Elie Bouri, Nader Naifar, Syed Shahzad, Mohammad Alahmad* (Accepted).

Are Gold-backed Islamic Cryptocurrencies Safe Havens for International Islamic Equity Markets?


Research in International Business and Finance

Priyanka Sasmal | Molecular Biology | Young Scientist Award

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Ms. Priyanka Sasmal | Molecular Biology | Young Scientist Award

Harvard Medical School | United States

Priyanka Sasmal is a doctoral researcher in cell and molecular biology with advanced training in genetics and microbiology. She is pursuing a PhD focused on understanding molecular motor function during mitosis, with emphasis on spindle dynamics and chromosome segregation. Her research experience spans yeast, mammalian systems, synthetic biology, and microfluidics, integrating advanced imaging, protein engineering, and genome editing approaches. She has contributed to peer-reviewed research and international scientific conferences. Recipient of competitive international and national fellowships, her work advances fundamental insights into cytoskeletal regulation and genome stability, supporting future research in cell biology and cancer-related mechanisms.

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Featured Publications

Chimeras of Kinesin-6 and Kinesin-14 Reveal Head–Neck–Tail Domain Functions and Dysfunctions That Lead to Aneuploidy in Fission Yeast – bioRxiv, 2024

Authors: P. Sasmal; M. Miyazaki; F. Carlier-Grynkorn; P.T. Tran


Mitotic Kinesin Motors: Insights on Domain Functions

– Sorbonne Université, 2025Author: P. Sasmal

Huan Liu | Earth Space Exploration | Research Excellence Award

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Prof. Huan Liu | Earth Space Exploration | Research Excellence Award

China University of Geosciences | China

Huan Liu is a Professor in automation and instrumentation with a strong academic foundation in electronic engineering and sensing technologies. He earned his PhD with research focused on high-precision magnetometers and completed joint doctoral training internationally. His professional experience spans academic research, teaching, and leadership in control technology and intelligent sensing. His research interests include magnetic field measurement, sensor arrays, instrumentation, multi-information fusion, and intelligent detection systems for environmental and security applications. He has received numerous national and international awards for research excellence, editorial service, and innovation. His work significantly advances precision sensing technologies and interdisciplinary engineering research.

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Featured Publications


A Multi-Parameter Integrated Magnetometer Based on Combination of Scalar and Vector Fields

– IEEE Transactions on Industrial Electronics, 2022

A New Digital Single-Axis Fluxgate Magnetometer According to the Cobalt-Based Amorphous Effects

– Review of Scientific Instruments, 2022

An Overview of Sensing Platform-Technological Aspects for Vector Magnetic Measurement: A Case Study of the Application in Different Scenarios

– Measurement, 2022

Anomaly Detection of Complex Magnetic Measurements Using Structured Hankel Low-Rank Modeling and Singular Value Decomposition

– Review of Scientific Instruments, 2022

Multi-Sensor Measurement and Data Fusion

– IEEE Instrumentation & Measurement Magazine, 2022

Olivier Munguiko Munyamahoro | Volcanologie | Best Researcher Award

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Dr. Olivier Munguiko Munyamahoro | Volcanologie | Best Researcher Award

 Université Clermont Auvergne | France

Dr. Olivier Munguiko Munyamahoro is a volcanology and seismology researcher specializing in geochemical and seismic approaches to understanding magmatic processes and eruption precursors, with a strong focus on volcanic hazard reduction. He is currently pursuing a PhD at Université Clermont Auvergne, France (expected 2026), where his research investigates the spatial and temporal variability of diffuse volcanic degassing in urban environments of the Kivu Rift, East African Rift System, and its links to volcano-tectonic activity and air quality impacts. He holds advanced degrees in physics from the Institut Supérieur Pédagogique de Bukavu, Democratic Republic of Congo. Professionally, he serves as a Junior Researcher at the Goma Volcano Observatory, contributing to the monitoring of Nyiragongo and Nyamulagira volcanoes through seismic data analysis, event location, and interpretation, and has prior experience as a Teaching Assistant in higher education. His research interests include volcanic degassing, seismicity, magma dynamics, eruption forecasting, and environmental impacts of volcanic activity. Dr. Munguiko Munyamahoro has participated in several international training programs and conferences on seismology and volcanology and is a recipient of the IASPEI Early Career 2022 Award from the African Seismological Commission. Through integrated geochemical and seismological monitoring, his work contributes to improved volcanic risk assessment and the protection of vulnerable communities in active rift environments.

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Featured Publications

Lava lake activity at Nyiragongo volcano between the years 2020 and 2021 documented by seismic activity and sulfur dioxide emissions, DRC

Volcanica, 7(2), 607–619, 2024
Munguiko, O.; Maska, S.; Habari, F. S.; Minani, A. S.; Bakole, E.; Mavonga, T.; Ngangu, B.; Sadiki, A. T.; Balezi, G.
Analysis of the seismicity recorded before the May 22, 2021 eruption of Nyiragongo Volcano, Democratic Republic of the Congo

Journal of Volcanology and Seismology, 17(3), 246–257, 2023
Sadiki, A. T.; Kyambikwa, A. M.; Namogo, D. B.; Diomi, L. N.; Munguiko, O. M.; Balezi, G. M.; et al.
DOI: 10.1134/S0742046323700136
General overview of the post-eruptive seismic activity of the Nyiragongo volcano on May 22, 2021, Eastern DR Congo

Maska, S.; Diomi, L.; Munguiko, O.; Mavonga, G., 2023

Full text (PDF)

Transition from spot to long-lived eruptive activity in continental rifting tracked by monitoring soil degassing

Submitted to Journal of Volcanology and Geothermal Research
Munguiko, M. O.; Boudoire, G.; Regis, E.; Valade, S.; et al.
Temporal variations of indoor CO₂ content and radon activity in the city of Goma (DR Congo): volcano-tectonic influences on air quality

In preparation
Munguiko, M. O. et al.

Ali Ali | Artificial Intelligence and water Resources Management | Research Excellence Award

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Dr. Ali Ali | Artificial Intelligence and water Resources Management | Research Excellence Award

Brunel University London | United Kingdom

Dr. Ali Ali is an emerging researcher and PhD student in Civil Engineering at Brunel University London, specializing in Artificial Intelligence applications for water resources management. He holds a BEng (Hons) in Civil Engineering from Brunel University and a Diploma with Distinction from Kaplan International College, demonstrating strong academic performance. Dr. Ali has extensive experience with civil engineering and computational software, including AutoCAD, Groundwater Modelling System (GMS), ABAQUS, MATLAB, and programming languages Python and R, enabling advanced modeling, simulation, and data analysis. He has applied his expertise in designing steel and concrete structures while addressing economic, social, and environmental challenges. His professional experience includes multiple Graduate Teaching Assistant roles in Civil Engineering and Computer Science, supporting both undergraduate and master’s students with lab sessions, course material, tutoring, and programming instruction. Additionally, he gained practical industry experience through internships in project management and turbomachinery design, enhancing his skills in project coordination and operational efficiency. Dr. Ali’s research interests focus on optimizing water resources management using AI, sustainable infrastructure design, and hydrological modeling. He has contributed to academic documents, reports, and simulations, with ongoing work aimed at publication in peer-reviewed journals. His work demonstrates a commitment to bridging theoretical research and practical engineering solutions, advancing innovation in civil and environmental engineering.

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Featured Publication

Aquifer-specific flood forecasting using machine learning: A comparative analysis for three distinct sedimentary aquifers – Science of the Total Environment, 2025 | Open Access