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

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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 🗓️

 

Neyara Radwan | Innovation in Data Analysis | Outstanding Scientist Award

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Dr. Neyara Radwan | Innovation in Data Analysis | Outstanding Scientist Award

Liwa College, ABU Dhabi | United Arab Emirates

Publication Profile

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👩‍🏫 Summary

Dr. Neyara Radwan is an accomplished academic and researcher specializing in Industrial Engineering, Lean Manufacturing, Sustainable Systems, and Renewable Energy. Currently an Associate Professor at Liwa College in Abu Dhabi, UAE, she has an impressive academic history with roles across several prestigious institutions globally, including in Egypt, Saudi Arabia, and India. With a passion for sustainable development and advanced engineering systems, her research focuses on optimization, supply chain management, solid waste management, and energy systems.

🎓 Education

Dr. Radwan holds a Ph.D. in Production Engineering from Benha University, Egypt (2008), with a thesis on CAD of Electro-Chemical Honing Machining and Statistical Modeling. She also earned her M.A. in Production Engineering and Mechanical Design from Mansoura University, Egypt (2004), focusing on utilizing computer-aided expert systems for power transmission shaft design. Additionally, she completed her B.A. in the same field from Mansoura University, where she designed belt conveyors for a sugar factory project.

💼 Professional Experience

Dr. Radwan has an extensive career in academia. She is currently an Associate Professor at Liwa College in Abu Dhabi (2023–Present). Before this, she served as an Associate Professor at the Mechanical Department of Suez Canal University, Egypt (2012–2023), and as a Quality Assurance Officer and Assistant Professor at King Abdulaziz University, Jeddah, KSA (2014–2021). She has also held part-time roles in various academic institutions in Egypt, focusing on industrial engineering and mechanical design.

🏅 Awards & Recognition

Dr. Radwan’s dedication to education and research has earned her numerous awards, including the Excellence in Education Development Award (NCRDSIMS, India, 2018), the Global Service to Humanity Award (ADlafrica, 2021), and the Golden Academic Award (Tradepreneur Global, 2022). She has also been recognized for her outstanding academic leadership, receiving the Global Excellence in Academic Leadership Award (2024) and the Most Outstanding Engineering Educator and Writer Award (2024). Her contributions have been consistently celebrated through international accolades and recognitions.

🔧 Technical Skills

Dr. Radwan’s technical expertise spans several cutting-edge areas, including Optimization, Lean Manufacturing, and Sustainable Engineering. She is skilled in Renewable Energy Systems, Artificial Intelligence Applications in Engineering, Supply Chain Management, and Solid Waste Management. Additionally, her proficiency in CAD Modeling and Statistical Process Control allows her to explore and implement advanced solutions for sustainable systems and optimal operations.

👩‍🏫 Teaching Experience

Dr. Radwan has taught at top-tier universities across multiple countries, specializing in Industrial Management, Mechanical Engineering, and Sustainable Systems. Her teaching includes overseeing quality assurance in MBA/EMBA programs, and she is passionate about helping students connect theoretical knowledge with practical, real-world applications. She is recognized for her engaging teaching style and her ability to inspire the next generation of engineers and leaders.

🔬 Research Interests

Dr. Radwan’s research interests are wide-ranging, with a primary focus on Sustainability, Renewable Energy, and Optimization. Her work also delves into Circular Economy, Waste Management, Energy Systems, and Artificial Intelligence applications in engineering. She is particularly dedicated to researching how these fields intersect with global goals like the Sustainable Development Goals (SDGs), striving for impactful, real-world solutions to critical environmental and societal challenges.

Publication Top Notes

Development of artificial intelligence techniques in Saudi Arabia: the impact on COVID-19 pandemic. Literature review
    • Authors: NB Al-Jehani, ZA Hawsawi, N Radwan, M Farouk
    • Journal: Journal of Engineering Science and Technology
    • Citation: 12
    • Year: 2021 🗓️
Characterizing land use/land cover change dynamics by an enhanced random forest machine learning model: a Google Earth Engine implementation
    • Authors: CB Pande, A Srivastava, KN Moharir, N Radwan, L Mohd Sidek, …
    • Journal: Environmental Sciences Europe
    • Citation: 11
    • Year: 2024 🗓️
Heat transfer analysis of single-walled carbon nanotubes in Ellis’s fluid model: Comparative study of uniform and non-uniform channels
    • Authors: M Irfan, I Siddique, M Nazeer, S Saleem, N Radwan
    • Journal: Case Studies in Thermal Engineering
    • Citation: 10
    • Year: 2024 🗓️
Dynamics of magnetized viscous dissipative material of hybrid nanofluid with irregular thermal generation/absorption
    • Authors: M Yasir, S Saleem, M Khan, N Radwan
    • Journal: Case Studies in Thermal Engineering
    • Citation: 8
    • Year: 2024 🗓️
Assessment of groundwater potential zone mapping for semi-arid environment areas using AHP and MIF techniques
    • Authors: SP Shinde, VN Barai, BK Gavit, SA Kadam, AA Atre, CB Pande, SC Pal, …
    • Journal: Environmental Sciences Europe
    • Citation: 8
    • Year: 2024 🗓️
A comparative study based on performance and techno-economic analysis of different strategies for PV-Electrolyzer (green) hydrogen fueling incinerator system
    • Authors: OM Butt, MS Ahmad, TK Lun, HS Che, H Fayaz, N Abd Rahim, KKK Koziol, …
    • Journal: Waste Management
    • Citation: 8
    • Year: 2023 🗓️

Amin Hekmatmanesh | Algorithm Development | Best Researcher Award

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Dr. Amin Hekmatmanesh l Algorithm Development  | Best Researcher Award

LUT University, Finland

Author Profile

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🔎 Summary

Dr. Amin Hekmatmanesh is a skilled biomedical engineer and data scientist, specializing in wearable sensors, AI, and machine learning applications for health technologies. He has extensive experience in biosignal processing (EEG, ECG, PPG, EMG, GSR, IMU), rehabilitation robotics, and medical device development. With a Ph.D. in Mechanical Engineering (Biomedical Engineering), he has made significant contributions to the field by developing real-time systems for rehabilitation and health monitoring. His research focuses on using AI to advance rehabilitation robotics and human-robot interactions, publishing over 30 peer-reviewed articles. He is also an active reviewer and editorial board member for several high-ranking journals.

🎓 Education

Dr. Hekmatmanesh holds a Ph.D. in Mechanical Engineering (Biomedical Engineering) from LUT University in Finland, where he achieved a GPA of 4.33. His dissertation focused on artificial intelligence and machine learning for EEG signal processing in rehabilitation robotics. He also completed his M.Sc. in Biomedical Engineering at Shahed University in Iran, with a perfect GPA of 4.0, and a B.Sc. in Electrical Engineering from Islamic Azad University, graduating with a GPA of 4.1.

💼 Professional Experience

Dr. Hekmatmanesh has a diverse professional background, having worked as a Lead Project Manager at Mevea Company, where he managed health monitoring system projects, incorporating wearable sensor technology. At Flowgait Company, he contributed to mathematical solutions for horse motion analysis. As a Junior Researcher and Project Manager at LUT University, he focused on wearable sensor systems and health monitoring. Additionally, he worked as a Research Assistant at Tehran University, working on diagnostic algorithms and therapeutic systems in health technologies.

📚 Academic Citations

Dr. Hekmatmanesh has published over 30 peer-reviewed papers, including book chapters and review articles, and his work has contributed significantly to the biomedical engineering and AI fields. His research has received wide recognition, and he is regularly invited to participate in scientific conferences and review for high-impact journals, showcasing his influence and contributions to advancing health technologies.

🔧 Technical Skills

Dr. Hekmatmanesh is highly proficient in biosignal processing, including EEG, ECG, PPG, EMG, GSR, and IMU signals. He is skilled in machine learning and AI, specifically for biosignal classification and real-time system development. His technical expertise extends to embedded electronics, sensor design, and circuit board assembly. He is proficient in Python and Matlab for data analysis and has experience using version control tools like GitHub to manage research projects.

🎓 Teaching Experience

Dr. Hekmatmanesh has been actively involved in teaching and mentoring within the biomedical engineering field. He has supervised PhD students and contributed to academic programs by delivering lectures and guiding research projects in health technologies, machine learning, and rehabilitation robotics.

🔬 Research Interests On Algorithm Development

Dr. Hekmatmanesh’s research interests include the development of wearable sensor systems for health monitoring, AI and machine learning techniques for biosignal classification, and the design and control of rehabilitation robotics. He is also focused on human-robot interactions and improving prosthetics control through innovative AI applications in healthcare.

📖 Top Noted Publications

Nanocaged platforms: modification, drug delivery and nanotoxicity. Opening synthetic cages to release the tiger
    • Authors: PS Zangabad, M Karimi, F Mehdizadeh, H Malekzad, A Ghasemi, …
    • Journal: Nanoscale
    • Year: 2017
Review of the state-of-the-art of brain-controlled vehicles
    • Authors: A Hekmatmanesh, PHJ Nardelli, H Handroos
    • Journal: IEEE Access
    • Year: 2021
Neurosciences and wireless networks: The potential of brain-type communications and their applications
    • Authors: RC Moioli, PHJ Nardelli, MT Barros, W Saad, A Hekmatmanesh, …
    • Journal: IEEE Communications Surveys & Tutorials
    • Year: 2021
A combination of CSP-based method with soft margin SVM classifier and generalized RBF kernel for imagery-based brain computer interface applications
    • Authors: A Hekmatmanesh, H Wu, F Jamaloo, M Li, H Handroos
    • Journal: Multimedia Tools and Applications
    • Year: 2020
EEG control of a bionic hand with imagination based on chaotic approximation of largest Lyapunov exponent: A single trial BCI application study
    • Authors: A Hekmatmanesh, RM Asl, H Wu, H Handroos
    • Journal: IEEE Access
    • Year: 2019

Vinod Kumar | Big Data Analytics | Best Researcher Award

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Assoc Prof Dr. Vinod Kumar | Big Data Analytics | Best Researcher Award

FLAME University, India

Author Profile

Google Scholar

🌱 Early Academic Pursuits

Assoc Prof Dr. Vinod Kumar began his academic journey with a strong foundation in Mechanical Engineering, earning a Bachelor’s degree from Haryana College of Technology & Management, Kaithal. He then transitioned into the realm of business, acquiring a Master of Business Administration (MBA) in Marketing from Chandigarh Business School. His intellectual pursuit culminated in a Ph.D. in Marketing from the prestigious Indian Institute of Technology (IIT) Roorkee. His doctoral thesis, titled “Assessing the Influence of Stakeholders on Sustainability Marketing Strategy,” focused on how various stakeholders shape the strategies for sustainable marketing.

💼 Professional Endeavors

Dr. Kumar’s professional trajectory spans over a decade in academia, with positions at renowned institutions. His current role as an Associate Professor at FLAME University in Pune, Maharashtra, marks the latest phase in a distinguished career. Prior to this, he held faculty positions at MICA, Ahmedabad, Symbiosis Institute of Business Management, and the Indian Institute of Information Technology, Lucknow, among others. Additionally, Dr. Kumar’s experience in industry as a Sales Executive and Water Treatment Specialist adds practical insight to his academic teaching. This mix of academia and industry experience enriches his approach to teaching and research.

📚 Contributions and Research Focus

Dr. Kumar’s research primarily focuses on Brand Management, Digital Marketing, Green Marketing, Digital Business Strategy, and Social Media Marketing. His interdisciplinary approach integrates traditional marketing principles with the evolving digital landscape. Notable research projects include studying the relationship between stakeholders and sustainability strategies, and he has contributed significantly to the literature on stakeholder identification in marketing. Dr. Kumar has published papers in high-impact journals such as Management Research Review and has been honored with the Emerald Literati Network Award for Excellence in 2017 for his outstanding research.

🌍 Impact and Influence

Through his academic and professional roles, Dr. Kumar has made a substantial impact in shaping the marketing landscape. His research has not only contributed to the academic body of knowledge but has also influenced industry practices. The recognition of his work through awards like the Best Paper Award at AMRIT-2020 and Emerald Literati Network Awards for Excellence reflects his significant influence in the marketing and digital business strategy domains. Additionally, his consulting project on Digital Marketing Strategies and Tools for God’s Grace Distributions showcases his practical expertise and ability to drive business transformation.

📑 Academic Cites and Recognition

Dr. Kumar’s research has garnered widespread recognition and citation in leading academic forums. His work on Sustainability Marketing and Stakeholder Analysis is widely referenced in marketing and sustainability studies. His recognition by various academic bodies, including the FIIB Business Review as a reviewer and the AIM-AMA Sheth Foundation Travel Grant, further solidifies his standing as an authority in his field.

💻 Technical Skills

Dr. Kumar possesses advanced proficiency in digital marketing tools, UI/UX Design, Social Media Marketing, and Data Analytics. His expertise in Digital Business Strategy enables him to leverage digital platforms effectively for both academic purposes and real-world business solutions. This technical expertise is integrated into his teaching, providing students with a modern, practical learning experience that blends theory with the latest industry practices.

🎓 Teaching Experience

Dr. Kumar has held teaching positions across multiple prestigious institutions, where he has designed and taught courses on Marketing Management, Digital Marketing, Brand Management, and Sales and Distribution Management. His role as the Founding Head of the Department at IIIT Lucknow enabled him to create a dynamic curriculum and research environment for future leaders in business management. His approach to teaching combines innovative strategies, a deep understanding of digital platforms, and a focus on practical application, which has been appreciated by students and colleagues alike.

🌟 Legacy and Future Contributions

As a respected academic, Dr. Kumar has not only imparted knowledge but has also shaped the future of marketing education. His research continues to evolve, with ongoing supervision of Ph.D. students, such as Ms. Isha Sharma and Mr. Vibhav Singh. Dr. Kumar’s legacy is built upon his commitment to enhancing the relevance of marketing education in the digital age and his contribution to sustainability marketing. His future contributions are likely to have a significant impact on both academic literature and industry practices in digital business strategy, making him a thought leader to watch in the coming years.

📖 Top Noted Publications 

Evolution of Sustainability as Marketing Strategy: Beginning of New Era
    • Authors: V Kumar, Z Rahman, AA Kazmi, P Goyal
    • Journal: Procedia-Social and Behavioral Sciences
    • Year: 2012
Sustainability Marketing Strategy: An Analysis of Recent Literature
    • Authors: V Kumar, Z Rahman, AA Kazmi
    • Journal: Global Business Review
    • Year: 2013
Examining Consumer-Brand Relationships on Social Media Platforms
    • Authors: NK Jain, S Kamboj, V Kumar, Z Rahman
    • Journal: Marketing Intelligence and Planning
    • Year: 2018
Stakeholder Identification and Classification: A Sustainability Marketing Perspective
    • Authors: V Kumar, Z Rahman, AA Kazmi
    • Journal: Management Research Review
    • Year: 2016
Why Export Competitiveness Differs Within Indian Textile Industry? Determinants and Empirical Evidence
    • Authors: R Dhiman, V Kumar, S Rana
    • Journal: Review of International Business and Strategy
    • Year: 2020
Investigating the Impact of Online Service Convenience on Customer Engagement, Attitude and Intention to Use Food Delivery Apps
    • Authors: V Vandana, S Kumar, V Kumar, P Goyal
    • Journal: International Journal on Food System Dynamics
    • Year: 2023