Zahra Lakdawala | Machine Learning and AI Applications | Research Excellence Award

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Dr. Zahra Lakdawala | Machine Learning and AI Applications | Research Excellence Award

Fraunhofer IWES | Germany

Zahra Lakdawala is an accomplished industrial mathematician and Senior Research Scientist at Fraunhofer Institute for Wind Energy Systems, with extensive expertise in applied mathematics, computational fluid dynamics, and AI-driven modeling. She earned her Ph.D. from the Technical University of Kaiserslautern, focusing on multiscale filtration problems. Her research integrates numerical methods, physics-informed neural networks, and large-scale simulations for industrial and environmental applications, including groundwater management and wind energy. With strong academic, industry, and international research experience, she has contributed to advanced software development, interdisciplinary projects, and high-impact scientific publications.

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Prof. Dr. Xiaoxiao Cheng | Innovation In Data Analysis | Research Excellence Award

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Prof. Dr. Xiaoxiao Cheng | Innovation In Data Analysis | Research Excellence Award

Soochow University | China

Dr. Xiaoxiao Cheng is a Professor at Soochow University specializing in polymer synthesis, living polymerization, and chiral assembly. He earned his Ph.D. in Materials Science from Soochow University, with international research experience at Hokkaido University and Nagoya University in Japan. Following postdoctoral research, he served as Assistant Professor and Principal Investigator at the Nano Life Science Institute, Kanazawa University. Dr. Cheng has published nearly 60 high-impact papers, many in leading journals, and holds multiple patents in advanced polymer materials. A recipient of several prestigious awards and research grants, he is actively involved in editorial roles and international scientific collaborations.

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Nasser Ahmed | Machine Learning Applications | Worldwide Excellence in Research Analytics Advancement Award

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National Research Institute of Astronomy and Geophysics | Egypt

Assist. Prof. Dr. Nasser Ahmed | Machine Learning Applications | Worldwide Excellence in Research Analytics Advancement Award

National Research Institute of Astronomy and Geophysics | Egypt

Assoc. Prof. Dr. Nasser Mohamed Ahmed is an accomplished astrophysicist at the National Research Institute of Astronomy and Geophysics (NRIAG), Egypt, with extensive expertise in computational astrophysics and X-ray astronomy. He earned his Ph.D. from the University of Groningen, focusing on simulations of cooling flows in galaxy clusters using advanced hydrodynamic modeling. His research spans plasma dynamics, galaxy formation, and data analysis using modern tools such as Python, FLASH, and X-ray observatories. Dr. Ahmed has contributed to numerous international projects, established computational facilities, and published widely in reputable journals, demonstrating significant impact in both theoretical and observational astronomy.

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Sun Vertical Depressions and Their Effects on the Morning Twilight Phases in Egypt
– Springer Proceedings in Physics, 2025

KAMURAN GÖRGÜN | Interdisciplinary Data Insights | Women Researcher Award

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Mrs. KAMURAN GÖRGÜN | Interdisciplinary Data Insights | Women Researcher Award

Skisehir Osmangazi University | Turkey

Assoc. Prof. Dr. Kamuran Görgün is a distinguished academic in chemistry at Eskişehir Osmangazi University, with extensive expertise in organic synthesis, nanomaterials, and spectroscopic analysis. She earned her PhD, MSc, and BSc in Chemistry from the same institution and has progressed from research assistant to associate professor. Her research focuses on semiconductor materials, dye-sensitized solar cells, and advanced molecular design. With over 90 publications, significant citations, and multiple funded projects, she has made notable contributions to materials science and renewable energy research. Dr. Görgün is also actively involved in teaching undergraduate and postgraduate courses and mentoring emerging researchers.

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Teddy Samo | Machine Learning Applications | Research Excellence Award

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Mr. Teddy Samo | Machine Learning Applications | Research Excellence Award

Kenyatta University | Kenya

Mr. Samo Teddy Miller is an experienced energy and development professional with over eight years of expertise in clean energy access, renewable energy systems, and donor-funded program implementation. Currently serving as a Technical Advisor at GIZ Kenya, he specializes in off-grid solar solutions, productive use of energy, and monitoring, evaluation, and learning (MEL) systems. With a strong background in energy engineering, he has successfully managed multi-stakeholder projects, budgets, and operational systems across diverse regions. His work emphasizes sustainable development, stakeholder engagement, and innovative energy solutions, contributing significantly to improving energy access in underserved communities.

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Rifumo Chauke | Quantitative Research | Research Excellence Award

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Mr. Rifumo Chauke | Quantitative Research | Research Excellence Award

University of Pretoria | South Africa

Mr. Rifumo Chauke is a PhD candidate in Physics at the University of Pretoria, specializing in nuclear materials science and advanced data analysis. With a strong academic foundation in astrophysics, his research focuses on defect modeling, multi-technique data synthesis, and the characterization of silicon carbide under irradiation. He possesses hands-on expertise in laboratory techniques such as AFM, Raman spectroscopy, RBS, TEM, and SEM, alongside proficiency in Python, data visualization, and statistical analysis. Rifumo has demonstrated leadership through tutoring and research roles, contributing to academic mentorship and collaborative projects, and is actively transitioning into data science applications within mining and industrial sectors.

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Xueye Chen | Regression analysis | Research Excellence Award

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Prof. Xueye Chen | Regression analysis | Research Excellence Award

Ludong University | China

Professor Xueye Chen is a distinguished academic at Ludong University, serving as a permanent Professor in the College of Transportation since March. With a doctoral degree and over 11 years of professional experience, his expertise lies in MEMS, with a strong research focus on microfluidics and flexible intelligent sensing systems. He has authored 174 high-impact journal publications in leading outlets such as Physics of Fluids, Chemical Engineering Journal, and ACS Applied Materials & Interfaces. His research spans wearable technologies, healthcare, and modern agriculture, emphasizing micro-nano manufacturing and advanced sensing applications. Recognized for his excellence, he has led multiple funded projects and holds several patents, contributing significantly to innovation in intelligent systems and health monitoring.

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Otilia Kimpel | Big Data Analytics | Research Excellence Award

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Dr. Otilia Kimpel | Big Data Analytics | Research Excellence Award

Universitätsklinikum Würzburg | Germany

Dr. Otilia Kimpel is a dedicated physician-scientist and board-certified specialist in Internal Medicine with a focus on endocrinology at the University Hospital Würzburg, Germany. She completed her medical studies at the University of Duisburg-Essen, earning her doctorate with magna cum laude distinction for research on transcranial direct current stimulation and motor learning. With extensive clinical and research experience, she has contributed as an investigator in multiple phase 1–3 clinical trials, particularly in adrenal and endocrine disorders. A recipient of several prestigious awards, including the Bruno Allolio Prize and Anke Mey Award, Dr. Kimpel is actively engaged in advancing endocrine research through clinician-scientist programs and academic initiatives.

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Mais Mayassah | Machine Learning Applications | Research Excellence Award

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Ms. Mais Mayassah | Machine Learning Applications | Research Excellence Award

Structural and Geotechnical Engineering Department, Szechenyi Istvan University, Gyor, Hungary | Hungary

Ms. Mais Mayassah is a dedicated Water and Geotechnical Engineer and PhD researcher at Széchenyi István University, Hungary, specializing in structural engineering, geotechnics, and hydraulic systems. With extensive academic and professional experience, she has contributed to advanced research within the National Laboratory for Water Science and Water Security, focusing on flood resilience, levee safety, and climate-driven hydrological challenges. Her background includes roles as a civil engineer and consultant in Syria, where she supervised infrastructure, sanitation, and construction projects, alongside years of university teaching in hydraulics and building materials. Her research integrates numerical modeling, artificial intelligence, and geotechnical analysis to develop innovative, data-driven solutions for sustainable and resilient water infrastructure systems.

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Fathalla Rihan | Statistical Analysis | Best Scholar Award

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Prof. Fathalla Rihan | Statistical Analysis | Best Scholar Award

United Arab Emirates University | United Arab Emirates

Publication Profile

Orcid

Scopus

Google scholar

Professor Fathalla A. Rihan: A Distinguished Expert in Mathematical Sciences 📚✨

Current Position(s) & Employment History 🏫

  • Professor of Mathematics (2017–present)
    Department of Mathematical Sciences, College of Science, UAE University, UAE 🇦🇪
  • Professor of Mathematics (2011–present)
    Department of Mathematics (on leave), Faculty of Science, Helwan University, Egypt 🇪🇬
  • Associate Professor (2012–2017)
    Department of Mathematical Sciences, College of Science, UAE University, UAE
  • Assistant Professor (2008–2012)
    Department of Mathematical Sciences, College of Science, UAE University, UAE
  • Associate Professor of Mathematics (2005–2011)
    Department of Mathematics, Faculty of Science, Helwan University, Egypt
  • Honorary Research Fellow (2000–2010)
    School of Mathematics, University of Manchester, UK 🇬🇧
  • Assistant Professor (2000–2005)
    Department of Mathematics, Faculty of Science, Helwan University, Egypt
    (On leave for Post-Doctoral research in the UK)
  • Senior Research Fellow (2003–2006)
    Salford University, UK, in collaboration with Met Office (Reading University)
  • Research Fellow (2001–2003)
    School of Mathematics, Manchester University, UK
  • Postgraduate Studentship and Lecturer Assistant (1996–2000)
    Department of Mathematics, Manchester University, UK
  • Lecturer (1992–1996)
    Department of Mathematics, Helwan University, Egypt
  • Instructor (1987–1992)
    Department of Mathematics, Faculty of Science, Helwan University, Egypt

Education 🎓

  • Doctor of Science (DSc) in Mathematics (2019)
    National University of Uzbekistan
    Dissertation: “Qualitative and Quantitative Features of Delay Differential Equations and Their Applications”
  • Ph.D. in Mathematics (2000)
    University of Manchester, UK
    Thesis: “Numerical Treatment of Delay Differential Equations in the Biosciences”
  • M.Sc. in Numerical Analysis (1992)
    Helwan University, Egypt
    Thesis: “Spectral and Pseudo-Spectral Method for Solving Partial Differential Equations Using Orthogonal Polynomials”
  • B.Sc. in Mathematics (1985)
    Alexandria University, Egypt, Graduated with Honours

Research Interests  On Statistical Analysis🔬

Prof. Fathalla A. Rihan leads two primary research groups:

  • Numerical Analysis & Mathematical Biology
    • Mathematical modeling of phenomena with time-lags (cell division, population dynamics, infectious diseases, etc.)
    • Numerical treatments for Ordinary, Partial, and Delay Differential Equations (DDEs), as well as Fractional Order Differential Equations
    • Parameter estimation and sensitivity analysis
  • Data Assimilation & Numerical Weather Prediction (NWP)
    • Advanced data assimilation techniques like 3DVar/4D-Var systems
    • Impact of Doppler radial velocities on analysis and forecasting

Research Projects 📊

  • 2024–2026: PI, AUA-UAEU Project: “Continuous Runge-Kutta Methods for Pantograph Delay Differential Equations”
  • 2022–2024: PI, ZU-UAEU Project: “Impact of Stochastic Noise on COVID-19 Dynamics in the UAE”
  • 2022: PI, SURE+ 2022 Program: “Mathematical Modeling of COVID-19 in the UAE”
  • 2021–2023: PI, UPAR-UAEU Project: “Quantitative Features of Delay Differential Equations in Biological Systems”
  • 2017–2019: PI, SQU/UAEU Project: “Delay Differential Models of Immune Response with Viral/Bacterial Infections”

Awards & Recognition 🏆

  • Resignation Award for Publications in Top 5% Journals (2023)
  • Member of Mohammed Bin Rashid Academy of Scientists (2021–present)
  • Top 2% World Scientist (Stanford University 2019–2022)
  • University Excellence Merit Allowance (2019–2020)
  • College Excellence Award for Service (2019–2020)
  • Distinguished Research Awards (2017–2019)
  • College Award for Scholarly Research (2014–2015)

Visitor ships 🌍

  • Research Visitor (2000–2001): Manchester University, UK
  • Research Visitor (2001): University of Hertfordshire, UK
  • Research Visitor (2003–2004): NCAR & Oklahoma Weather Center, USA

Publication Top Notes

Optimal control of glucose-insulin dynamics via delay differential model with fractional-order
    • Authors: Fathalla A. Rihan, K. Udhayakumar
    • Journal: Alexandria Engineering Journal
    • Year: 2025-02 🗓️
Modeling Hybrid Crossover Dynamics of Immuno‐Chemotherapy and Gene Therapy: A Numerical Approach
    • Authors: Muner M. Abou Hasan, Seham M. AL‐Mekhlafi, Fathala A. Rihan, Hannah A. Al‐Ali
    • Journal: Mathematical Methods in the Applied Sciences
    • Year: 2025-02-03 🗓️
Stabilization of bilinear systems with distributed delays using the Banach state space decomposition method
    • Authors: Ayoub Cheddour, Abdelhai Elazzouzi, Fathalla A. Rihan
    • Journal: IMA Journal of Mathematical Control and Information
    • Year: 2024-12-19 🗓️
Continuous Runge–Kutta schemes for pantograph type delay differential equations
    • Authors: Fathalla A. Rihan
    • Journal: Partial Differential Equations in Applied Mathematics
    • Year: 2024-09 🗓️
Fractional order delay differential model of a tumor-immune system with vaccine efficacy: Stability, bifurcation and control
    • Authors: Fathalla A. Rihan, K. Udhayakumar
    • Journal: Chaos, Solitons & Fractals
    • Year: 2023-08 🗓️