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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Featured Publications

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

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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 🗓️

 

Samprit Banerjee | Data Cleaning | Excellence in Research

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Assoc Prof Dr. Samprit Banerjee | Data Cleaning | Excellence in Research

Weill Medical College of Cornell University | United States

Author Profile

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📍 Current Academic Appointment

Dr. Samprit Banerjee is currently an Associate Professor in the Division of Biostatistics at Weill Medical College, Cornell University since January 2020. In May 2023, he also became an Associate Professor of Biostatistics in the Department of Psychiatry at the same institution.

📝 Articles in Preparation

Dr. Banerjee is preparing several significant research articles, including one on predicting adherence to psychotherapy homework using mHealth data. Another focuses on a functional data analysis framework for analyzing mobile health data, while a third article explores clustering functional data with applications to mHealth data.

🩺 Extramural Professional Activities

Dr. Banerjee has contributed to multiple FDA advisory panels, including the Neurological Devices Panel in 2023 and the Patient Engagement Advisory Committee in 2021. He is also a standing member of the Effectiveness of Mental Health Interventions (EMHI) Study Section of NIMH from 2022-2025 and has been involved in scientific review groups for NIMH.

👨‍🏫 Past Positions Held

Dr. Banerjee served as the Founding Director of the PhD Program in Population Health Sciences at Weill Cornell from 2020-2024. Additionally, he was the Founding Director of the MS Program in Biostatistics & Data Science from 2016 to 2020.

🎓 Educational Background

Dr. Banerjee holds a Ph.D. in Biostatistics from the University of Alabama at Birmingham (2008), following his M.Stat and B.Stat degrees from the Indian Statistical Institute in Kolkata, India.

🧑‍🏫 Teaching & Mentorship

Dr. Banerjee is actively involved in teaching, including directing courses like Big Data in Medicine for the MS program in Biostatistics. He mentors post-doctoral associates and junior researchers, including Younghoon Kim, PhD, and Soohyun Kim, PhD, in areas of mHealth data modeling and deep learning in psychiatry.

📑 Administrative Activities On Data Cleaning

Dr. Banerjee contributes to Weill Cornell Medical College’s PhD Director’s Committee and co-chairs the Diversity, Equity, and Inclusion sub-committee of the General Faculty Council.

🛡️ Special Government Employment

Since 2014, Dr. Banerjee has served as a Special Government Employee at the FDA’s Center for Devices and Radiological Health (CDRH).

📊 Professional Affiliations

Dr. Banerjee is an elected Council of Sections Representative for the Mental Health Statistics Section of the American Statistical Association (ASA).

📑 Notable Publications 

Examining Healthy Lifestyles as a Mediator of the Association Between Socially Determined Vulnerabilities and Incident Heart Failure
    • Authors: Nickpreet Singh, Chanel Jonas, Laura C. Pinheiro, Jennifer D. Lau, Jinhong Cui, Leann Long, Samprit Banerjee, Raegan W. Durant, Madeline R. Sterling, James M. Shikany et al.
    • Journal: Circulation: Cardiovascular Quality and Outcomes
    • Year: 2025
Effects of Geography on Risk for Future Suicidal Ideation and Attempts Among Children and Youth
    • Authors: Wenna Xi, Samprit Banerjee, Bonnie T. Zima, George S. Alexopoulos, Mark Olfson, Yunyu Xiao, Jyotishman Pathak
    • Journal: JAACAP Open
    • Year: 2023
Relation of a Simple Cardiac Co-Morbidity Count and Cardiovascular Readmission After a Heart Failure Hospitalization
    • Authors: Aayush Visaria, Lauren Balkan, Laura C. Pinheiro, Joanna Bryan, Samprit Banerjee, Madeline R. Sterling, Udhay Krishnan, Evelyn M. Horn, Monika M. Safford, Parag Goyal
    • Journal: The American Journal of Cardiology
    • Year: 2020
Examining Timeliness of Total Knee Replacement Among Patients with Knee Osteoarthritis in the U.S.
    • Authors: H.M.K. Ghomrawi, A.I. Mushlin, R. Kang, S. Banerjee, J.A. Singh, L. Sharma, C. Flink, M. Nevitt, T. Neogi, D.L. Riddle
    • Journal: Journal of Bone and Joint Surgery
    • Year: 2020
Race and prostate imaging: implications for targeted biopsy and image-based prostate cancer interventions
    • Authors: Michael D Gross, Bashir Al Hussein Al Awamlh, Jonathan E Shoag, Elizabeth Mauer, Samprit Banerjee, Daniel J Margolis, Juan M Mosquera, Ann S Hamilton, Maria J Schumura, Jim C Hu
    • Journal: BMJ Surgery, Interventions, & Health Technologies
    • Year: 2019
Long-term active surveillance of implantable medical devices: an analysis of factors determining whether current registries are adequate to expose safety and efficacy problems
    • Authors: Samprit Banerjee, Bruce Campbell, Josh Rising, Allan Coukell, Art Sedrakyan
    • Journal: BMJ Surgery, Interventions, & Health Technologies
    • Year: 2019

Youmna Iskandarani | Machine Learning | Best Researcher Award

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Ms. Youmna Iskandarani l Machine Learning | Best Researcher Award

American University of Beirut, Lebanon

Author Profile

Orcid

EARLY ACADEMIC PURSUITS 🎓

Youmna Iskandarani’s academic journey laid a robust foundation for her career in food science and technology. She earned her Bachelor’s degree in Dietetics and Clinical Nutrition Services from Lebanese International University, followed by a Bachelor of Applied Science in Food Science and Technology. Building on this knowledge, she pursued a Master of Science in Food Science and Technology, which further refined her expertise in food processing, safety, and research. During her studies, she also explored economics, expanding her understanding of the broader socio-economic factors influencing food systems.

PROFESSIONAL ENDEAVORS 💼

Youmna’s professional trajectory spans over a decade and includes a wealth of experience in community development, food technology, and business development. As the founder of Ossah Taybeh, a food heritage initiative, she has demonstrated her leadership in promoting sustainable food practices. Additionally, her role as a business development consultant and food expert for various organizations, including the World Food Programme (WFP) and UNDP, highlights her expertise in improving the socio-economic conditions of small and medium enterprises (SMEs) in Lebanon. Youmna has also worked with institutions like the American University of Beirut, where she contributed to food safety training, product development, and innovative food solutions. Her consulting work for international organizations and governments underscores her technical expertise in food processing, quality control, and business strategy.

CONTRIBUTIONS AND RESEARCH FOCUS  On  Machine Learning🔬

Throughout her career, Youmna has been at the forefront of several groundbreaking projects in food science and technology. She has published significant research, including studies on ADHD and nutrition, the production procedures of labneh anbaris (a traditional Lebanese yogurt), and food security. Her research in food safety, quality control, and food product development, especially in the dairy sector, has made substantial contributions to understanding the physicochemical properties of traditional food products. Additionally, her work in food safety, particularly related to cross-contamination prevention and dairy production processes, has helped improve the standards of food processing in Lebanon and beyond.

IMPACT AND INFLUENCE 🌍

Youmna’s impact extends far beyond her professional roles; she has become a key figure in advancing food safety and quality practices in Lebanon. As a consultant and trainer, she has helped develop and implement strategies that enhance the livelihoods of farmers and small business owners in rural and urban communities. Her work with the International Labour Organization (ILO) and various NGOs has supported entrepreneurial initiatives aimed at creating sustainable economic opportunities. Her efforts in building the capacity of SMEs and promoting socially impactful business practices have earned her recognition as a leader in both the food industry and community development sectors. Moreover, her role as a mentor and trainer for aspiring entrepreneurs has inspired many to develop their own successful ventures.

ACADEMIC CITATIONS AND RECOGNITION 🏅

Youmna’s research has been widely cited in academic circles, contributing to the fields of food science and public health. Her work on the physicochemical properties of labneh anbaris and her studies in the areas of food security and nutrition have been valuable in shaping food safety protocols and product development in Lebanon. She is recognized for her expertise in food technology and food safety, as well as for her commitment to advancing the quality and sustainability of food production systems in Lebanon and the broader region. Her contributions have made her a sought-after consultant and expert in various food safety and quality assurance projects.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Looking forward, Youmna Iskandarani is poised to continue making meaningful contributions to the fields of food science, business development, and community empowerment. Her passion for sustainability and rural development, combined with her technical expertise in food safety and quality assurance, will continue to guide her efforts in enhancing food systems and promoting socio-economic growth. Her vision for the future includes empowering more women and SMEs in the agri-food sector, improving the resilience of local food production systems, and advocating for healthier, safer, and more sustainable food practices. Youmna’s legacy will be built on her commitment to food security, innovation, and the betterment of her community and the global food industry.

 Top Noted Publications 📖

Microbial Quality and Production Methods of Traditional Fermented Cheeses in Lebanon

Authors: Mabelle Chedid, Houssam Shaib, Lina Jaber, Youmna El Iskandarani, Shady Kamal Hamadeh, Ivan Salmerón
Journal: International Journal of Food Science
Year: 2025

Machine Learning Method (Decision Tree) to Predict the Physicochemical Properties of Premium Lebanese Kishk Based on Its Hedonic Properties

Authors: Ossama Dimassi, Youmna Iskandarani, Houssam Shaib, Lina Jaber, Shady Hamadeh
Journal: Fermentation
Year: 2024

Development and Validation of an Indirect Whole-Virus ELISA Using a Predominant Genotype VI Velogenic Newcastle Disease Virus Isolated from Lebanese Poultry

Authors: Houssam Shaib, Hasan Hussaini, Roni Sleiman, Youmna Iskandarani, Youssef Obeid
Journal: Open Journal of Veterinary Medicine
Year: 2023

Effect of Followed Production Procedures on the Physicochemical Properties of Labneh Anbaris

Authors: Ossama Dimassi, Youmna Iskandarani, Raymond Akiki
Journal: International Journal of Environment, Agriculture and Biotechnology
Year: 2020

Production and Physicochemical Properties of Labneh Anbaris, a Traditional Fermented Cheese Like Product, in Lebanon

Authors: Ossama Dimassi, Youmna Iskandarani, Michel Afram, Raymond Akiki, Mohamed Rached
Journal: International Journal of Environment, Agriculture and Biotechnology
Year: 2020