Anouar Ben Mabrouk | Biomathematical Engineering | Best Research Article Award

Prof. Dr. Anouar Ben Mabrouk | Biomathematical Engineering | Best Research Article Award

Professor, University of Tabuk, Saudi Arabia

Professor Anouar Ben Mabrouk is a distinguished mathematician, qualified as a full professor in both Pure and Applied Mathematics by the Tunisian and French Ministries of Higher Education and Scientific Research. His groundbreaking work spans wavelets, fractals, nonlinear PDEs, probability, biostatistics, financial mathematics, and applications in environmental sciences and bio-signals. Anouar’s interdisciplinary approach bridges advanced mathematical theories with practical domains such as climate studies, pollution, and signal processing. He also integrates scientific insights with spirituality by researching scientific miracles in the Qur’an and translating significant works into multiple languages. With over 100 peer-reviewed research publications, numerous books, and extensive teaching experience across bachelor to doctoral levels, Professor Ben Mabrouk is a pillar of the international mathematical community.

Professional Profile

Scopus Profile

🏆Strengths for the Award

Academic Excellence and Recognized Qualification

  • Holds the highest academic title (Full Professor) in both Pure and Applied Mathematics, recognized by two national education systems (Tunisian and French).

  • Earned HDR (Habilitation à Diriger des Recherches), showing capability to supervise PhD students and lead research programs.

Prolific Research Output

  • Authored over 100 peer-reviewed papers in reputable journals across diverse domains: wavelets, fractals, PDEs, statistics, finance, biomathematics, image/signal processing, and more.

  • Published multiple books and book chapters, indicating a sustained, multi-dimensional research profile.

Interdisciplinary Reach

  • His work connects mathematics with finance, environmental sciences, biology, and religious studies (e.g., scientific miracles in the Qur’an).

  • Expertise in Clifford Algebras, fractals, and wavelet theory applied across domains, showing advanced theoretical and computational skills.

Pedagogical Breadth and Experience

  • Has taught all levels from preparatory to PhD across various universities and disciplines, including mathematics, finance, statistics, and computer science.

  • Supervised numerous undergraduate and graduate theses, showcasing commitment to research mentorship.

International Exposure and Collaboration

  • Taught and worked in Tunisia, Saudi Arabia, France, and Algeria, highlighting global engagement.

  • Reviewer/editorial board member of multiple journals and part of international academic societies, supporting cross-border scholarly interaction.

Leadership and Institutional Contribution

  • Plays strategic roles in academic committees (accreditation, research, curriculum development), particularly at Tabuk University, which speaks to his organizational influence.

🎓 Education

Professor Ben Mabrouk’s academic journey is marked by excellence and rigor. He earned his Bachelor’s degree in Mathematics from the University of Monastir in 1995, followed by a Master’s degree in Mathematics with a focus on multifractal spectra in 1998. He completed his PhD in Mathematics in 2007 with a thesis on wavelet analysis of non-isotropic quasi self-similar functions, a field he has since revolutionized. His academic credentials were further strengthened by his Habilitation (HDR) in Mathematics from the University of Kairouan in 2015, specializing in wavelets and nonlinear PDEs, cementing his expertise in both theoretical and applied mathematics.

💼Experience

Professor Ben Mabrouk currently holds prestigious professorships at the Faculty of Sciences, University of Monastir, and the Higher Institute of Applied Mathematics and Computer Sciences, University of Kairouan. Over two decades, he has contributed as a senior academic and researcher, supervising a wide range of student projects from bachelor theses to PhD dissertations across Tunisia, Saudi Arabia, and beyond. He has played key leadership roles, including Head of the Scientific Research Committee at Tabuk University, Saudi Arabia, where he also supports program accreditation and curriculum development.

🔬 Research Focus

A prolific and interdisciplinary researcher, Professor Ben Mabrouk’s work bridges theoretical rigor with real-world application. His primary research interests include wavelets and fractals, especially their roles in modeling complex systems such as financial markets, biological structures, and environmental phenomena. He has developed novel mathematical models using fractal dimensions and thermodynamic formalism, particularly in the study of time series data, bio-signals, and pollution metrics. 📈🧬 His work in Clifford algebras and their extension to wavelet theory has enabled advanced techniques in image and signal processing. In addition, he continues to explore the deep connections between mathematical laws and spiritual insight, particularly the scientific phenomena embedded in the Qur’an and Hadith. His translations and interpretations contribute not only to academia but also to a broader understanding of the harmony between science and faith. 🌙🔍

📚 Publications Top Notes

Numerical Solution for Stochastic Mixed Nonlinear Schrödinger Equation

Source: Bulletin of the Transilvania University of Brasov Series III Mathematics and Computer Science

Year: 2025

Authors: Not specified

Summary: Focuses on numerical methods to solve stochastic nonlinear Schrödinger equations with mixed terms. Likely involves advanced PDE numerical techniques and stochastic analysis.

A Wavelet Multifractal Model for Quality of Life Index Measuring During Pandemics and Crises

Source: Expert Systems

Year: 2025

Authors: Not specified

Summary: Proposes a wavelet-based multifractal model to measure quality of life during pandemics and crises. Integrates signal processing and statistical modeling to capture complex fluctuations in QoL indices.

On an Assorted Nonlinear Schrödinger Dynamical System

Source: Arabian Journal of Mathematics

Year: 2025

Authors: Not specified

Summary: Studies dynamics of a particular nonlinear Schrödinger system, possibly introducing new results on solution behavior or stability.

Effects of Nonlinear Thermal Radiation on the Efficiency of Building Integrated Photovoltaic Systems with Nanofluid Cooling

Source: PLOS One (Open Access)

Year: 2024

Authors: Multiple (names not listed)

Summary: Investigates how nonlinear thermal radiation impacts photovoltaic efficiency when nanofluids are used for cooling. Combines thermal physics, renewable energy, and nanotechnology.

Structural Analysis and Adsorption Studies of (PbO, MgO) Metal Oxide Nanocomposites for Efficient Methylene Blue Dye Removal from Water

Source: Materials (Open Access)

Year: 2024

Authors: Multiple (names not listed)

Summary: Examines structural properties and adsorption capabilities of PbO and MgO nanocomposites targeting dye removal from wastewater, with environmental and materials science focus.

🏁 Conclusion

Professor Anouar Ben Mabrouk exemplifies what it means to be a scholar, teacher, and thought leader in today’s mathematical landscape. His wide-ranging contributions—from foundational theory to practical applications—demonstrate a deep commitment to advancing knowledge and empowering others through education and mentorship. His interdisciplinary and international reach, paired with a unique blend of scientific inquiry and spiritual reflection, mark him as a truly exceptional figure in contemporary academia. 🌟🎓 Whether in the classroom, research lab, or editorial office, Professor Ben Mabrouk continues to inspire students, peers, and future generations of scholars worldwide.

Mahnoor Gondal | Bioinformatics | Best Researcher Award

Ms. Mahnoor Gondal | Bioinformatics | Best Researcher Award

PhD Candidate at University of Michigan, United States.

Mahnoor Naseer Gondal is a dedicated bioinformatics researcher specializing in single-cell transcriptomics and cancer immunotherapy. Pursuing her Ph.D. at the University of Michigan 🏛️, she works under the mentorship of Dr. Arul Chinnaiyan and Dr. Marcin Cieslik. With a strong academic background from LUMS 🎓 and numerous high-impact publications in journals like Nature, Cancer Discovery, and PNAS 📄, she is shaping the future of precision oncology. Passionate about computational biology, immune-oncology, and translational medicine 🧑‍🔬, she strives to integrate cutting-edge bioinformatics tools to advance personalized cancer treatment.

Professional Profile:

ORCID

Google Scholar

Suitability for Best Researcher Award

Mahnoor Naseer Gondal is a highly qualified candidate for the Best Researcher Award, given her exceptional contributions to the field of bioinformatics, cancer immunotherapy, and single-cell transcriptomics. Her research focuses on precision oncology, leveraging computational biology and AI to improve personalized cancer treatments.

Education & Experience 🎓🔬

Ph.D. (Bioinformatics)University of Michigan, USA (2021–Present)
📌 MS (Bioinformatics)University of Michigan, USA (2021–2023)
📌 B.S. (Biology)Lahore University of Management Sciences (LUMS), Pakistan (2016–2020)

👩‍🔬 Research Experience
🔹 Works on cancer immunotherapy, single-cell RNA sequencing, and tumor microenvironment analysis 🏥
🔹 Published in top-tier journals like Nature, Cancer Discovery, and Scientific Reports 📄
🔹 Contributor to cancer database integration and precision medicine models 🖥️

Professional Development 🌍📚

Mahnoor actively engages in scientific conferences, including AACR (American Association for Cancer Research) 🏅 and Frontiers in Bioinformatics. She has collaborated with leading cancer research labs to develop novel bioinformatics models and enhance therapeutic strategies for immune checkpoint blockade and tumor microenvironment analysis 🧑‍⚕️. She is also mentoring young researchers in computational biology while participating in global workshops on machine learning, data science, and translational medicine. With a passion for bridging biology and AI 🤖, she continues to drive biomedical advancements for precision oncology.

Research Focus 🧬🔍

Mahnoor’s research primarily revolves around cancer systems biology, single-cell transcriptomics, and immune-oncology. Her expertise includes:
🔬 Single-cell RNA sequencing to study tumor heterogeneity and immune resistance 🧑‍⚕️
🧪 Non-coding RNA mechanisms in colorectal cancer for better therapeutic targeting
🖥️ Integration of cancer datasets to enhance personalized treatment approaches
🦠 Immunotherapy resistance mechanisms to develop more effective cancer treatments
⚕️ Computational modeling of cancer for identifying new biomarkers and drug targets

Awards & Honors 🏆🎖️

🏅 Best Research Paper Award – Frontiers in Oncology (2021)
📜 AACR Research Recognition Award – American Association for Cancer Research (2024)
🏆 Outstanding Graduate Researcher Award – University of Michigan (2023)
🔬 Special Issue Publication Recognition – Featured in high-impact oncology journals
🌍 Invited Speaker at AACR, Cancer Research Conferences, and Bioinformatics Summits

Publication Top Notes

  • Title: A Systematic Overview of Single-Cell Transcriptomics Databases, their Use Cases, and Limitations

    • Authors: MN Gondal, SUR Shah, AM Chinnaiyan, M Cieslik
    • Citations: 43
    • Year: 2024
  • Title: Navigating multi-scale cancer systems biology towards model-driven clinical oncology and its applications in personalized therapeutics

    • Authors: MN Gondal, SU Chaudhary
    • Citations: 37
    • Year: 2021
  • Title: A personalized therapeutics approach using an in silico Drosophila patient model reveals optimal chemo-and targeted therapy combinations for colorectal cancer

    • Authors: MN Gondal, RN Butt, OS Shah, MU Sultan, G Mustafa, Z Nasir
    • Citations: 29
    • Year: 2021
  • Title: A cyanobacterial photorespiratory bypass model to enhance photosynthesis by rerouting photorespiratory pathway in C3 plants

    • Authors: G Khurshid, AZ Abbassi, MF Khalid, MN Gondal, TA Naqvi, MM Shah
    • Citations: 27
    • Year: 2020
  • Title: TISON: a next-generation multi-scale modeling theatre for in silico systems biology

    • Authors: MN Gondal, MU Sultan, A Arif, A Rehman, HA Awan, Z Arshad
    • Citations: 23
    • Year: 2021