Dr. Adnene Arbi | AI in Networking | Excellence in Research

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Dr. Adnene Arbi | AI in Networking | Excellence in Research

Dr adnene arbi , EPT, Tunisia

Dr. Adnene Arbi, an Assistant Professor at the National School of Advanced Sciences and Technologies at Borj Cedria and a member of the Laboratory of Engineering Mathematics at Polytechnic School of Tunisia, is a prominent researcher in applied mathematics. His work is recognized for its depth in areas such as robust control, synchronization, time scale spaces, and dynamical systems. With more than 26 peer-reviewed publications, he is a distinguished figure in his field, contributing to both academic and practical advancements in mathematics.

Professional Profile:

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Suitability for the Research for Best Researcher Award

Dr. Adnene Arbi is exceptionally well-suited for a Research Excellence Award due to his comprehensive expertise, innovative contributions, and significant impact in the field of applied mathematics. His research encompasses a broad range of complex topics, including robust control, synchronization of neural networks, and time scale spaces, demonstrating a deep understanding of both theoretical and practical aspects of mathematics.

Dr. Arbi’s work is distinguished by his innovative methodologies and solutions to challenging mathematical problems. For instance, his development of a new technique for optimizing parameters in Support Vector Machines (SVM) during his Master’s studies highlights his capacity for pioneering research that addresses critical issues in computational mathematics. His subsequent research on the stability of Hopfield-type neural networks and his exploration of oscillatory systems and delayed differential equations further underscore his innovative approach and expertise.

Academic Background 📚

Dr. Arbi’s academic journey is marked by excellence. He achieved his Habilitation in Applied Mathematics from the Preparatory Institute for Scientific and Technical Studies, University of Carthage in 2023, with a focus on functional spaces of oscillatory type and delayed dynamical models. His Ph.D. from the Faculty of Sciences of Bizerta in 2014 concentrated on the stability of Hopfield-type neural network models. Earlier, he earned a Master’s in Engineering of Mathematics and a Bachelor’s in Applied Mathematics, both from the University of Carthage, showcasing a strong foundation in mathematical theory and application.

Professional Experience 💼

Dr. Arbi is an Assistant Professor at the National School of Advanced Sciences and Technologies at Borj Cedria and serves as a member of the Laboratory of Engineering Mathematics at the Polytechnic School of Tunisia. His professional roles include teaching various mathematics modules, ranging from analysis and numerical methods to data mining and simulation. He also holds editorial positions with several international journals, demonstrating his influence in the field.

Research Interests and Contributions 🔬

Dr. Arbi’s research interests are broad and impactful, encompassing robust control, time scale spaces, stochastic and time-delay systems, and neural networks. His work often explores the dynamics of complex systems and their optimization, contributing to the theoretical and practical advancements in these areas. His research also delves into algorithm development and artificial intelligence, further broadening his impact.

Awards and Recognitions 🏆

Dr. Adnene Arbi has garnered significant recognition throughout his academic career, reflecting his exceptional contributions to the field of applied mathematics. Notable among his accolades is the very honorable mention for his Habilitation in Applied Mathematics, awarded in 2023, which highlights his significant contributions to the study of functional spaces of oscillatory types and delayed dynamical models. Additionally, Dr. Arbi has received commendations for his doctoral research, which explored the stability of Hopfield-type neural networks, underscoring his expertise in both theoretical and applied mathematics. His role as a reviewer and editor for numerous high-impact journals also illustrates the esteem in which he is held by the academic community. These honors collectively underscore Dr. Arbi’s excellence in research and his influential role in advancing mathematical sciences.

Innovations and Impact 🚀

Dr. Adnene Arbi’s innovation is highlighted by his development of novel techniques in parameter optimization for Support Vector Machines (SVM), enhancing machine learning efficiency. His work on oscillatory systems and time scale spaces introduces new analytical methods for dynamical systems. This innovation not only advances theoretical understanding but also has practical implications in control systems and artificial intelligence. Dr. Arbi’s contributions are widely recognized through his extensive publications and editorial roles, reflecting his significant impact on both academic research and real-world applications.

Publication Top Notes:

  1. Artificial Intelligence Techniques for Bankruptcy Prediction of Tunisian Companies: An Application of Machine Learning and Deep Learning-Based Models
    • Year: 2024
    • Journal: Journal of Risk and Financial Management
  2. Robust Model Predictive Control for Fractional-Order Descriptor Systems with Uncertainty
    • Year: 2024
    • Journal: Fractional Calculus and Applied Analysis
  3. Synchronization Analysis of Novel Delayed Dynamical Clifford-Valued Neural Networks on Timescales
    • Year: 2024
    • Journal: Journal of Algorithms and Computational Technology
  4. Morlet Wavelet Neural Network Investigations to Present the Numerical Investigations of the Prediction Differential Model
    • Year: 2023
    • Journal: Mathematics
  5. Designing a Bayesian Regularization Approach to Solve the Fractional Layla and Majnun System
    • Year: 2023
    • Journal: Mathematics
  6. Stability Analysis of Inertial Neural Networks: A Case of Almost Anti-Periodic Environment
    • Year: 2022
    • Journal: Mathematical Methods in the Applied Sciences
  7. Dynamics of Delayed Cellular Neural Networks in the Stepanov Pseudo Almost Automorphic Space
    • Year: 2022
    • Journal: Discrete and Continuous Dynamical Systems – Series S

Dr. Abdulsamad Yahya | AI in Network | Excellence in Research

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Dr. Abdulsamad Yahya | AI in Network | Excellence in Research

Dr. Abdulsamad Yahya, Northern Border University, Saudi Arabia

Dr. Abdulsamad Yahya, an Assistant Professor at Northern Border University, Saudi Arabia, holds a Ph.D. in Computer Science from the National University of Malaysia (UKM) and a Diploma in Computer Engineering from the Higher Institute of Mechanical and Electrical Engineering, Sofia. With over 16 years of academic experience, he has significantly impacted the IT Department through his roles as Head of the IT Department and Deputy Dean of Postgraduate Studies. Dr. Yahya’s research expertise includes Artificial Intelligence, Computer Vision, and Biometrics, with notable contributions to deep learning and big data visualization. Recognized with scholarships from Yemen’s Ministry of Education and Ministry of Higher Education, his career is distinguished by a strong blend of research excellence and administrative leadership.

Professional Profile:

Scopus

Suitability for the Research for Best Researcher Award

Dr. Abdulsamad Yahya is a strong contender for the Research for Best Researcher Award based on his extensive experience in academia, significant contributions to the field of computer science, and his leadership roles. His qualifications and research interests highlight his exceptional suitability for this recognition.

🎓 Academic Expertise:

Dr. Abdulsamad Yahya, Ph.D. in Computer Science from National University of Malaysia (UKM), brings over 16 years of academic experience. His qualifications also include a Diploma in Computer Engineering from the Higher Institute of Mechanical and Electrical Engineering, Sofia.

 

📚 Distinguished Educator:

As an Assistant Professor at Northern Border University, Saudi Arabia, Dr. Yahya has significantly impacted the Information Technology Department. His past roles include Head of the IT Department and Deputy Dean of Postgraduate Studies, showcasing his leadership in academia.

🔬 Research Leader:

Dr. Yahya’s research focuses on Artificial Intelligence, Computer Vision, and Biometrics. His conference papers on deep learning and big data visualization reflect his active contribution to advancing these fields.

🏆 Award-Winning Scholar:

Honored with scholarships from Yemen’s Ministry of Education and Ministry of Higher Education, Dr. Yahya’s academic journey is marked by his commitment to research and education.

🗂️ Administrative Excellence:

Dr. Yahya has served as the Head of the IT Department and Chairperson of the Senior Project Committee at Northern Border University, demonstrating his strong administrative and project management skills.

Publication Top Notes:

  • Title: Deep-Ensemble and Multifaceted Behavioral Malware Variant Detection Model
    • Citations: 13
    • Year: 2022
  • Title: A Genetic Algorithm-Based Grey Model Combined with Fourier Series for Forecasting Tourism Arrivals in Langkawi Island Malaysia
    • Citations: 3
    • Year: 2020
  • Title: Drought Forecasting Using Gaussian Process Regression (GPR) and Empirical Wavelet Transform (EWT)-GPR in Gua Musang
    • Citations: 2
    • Year: 2020
  • Title: Inflectional Review of Deep Learning on Natural Language Processing
    • Citations: 35
    • Year: 2018
  • Title: Big Data Visualization: Allotting by R and Python with GUI Tools
    • Citations: 17
    • Year: 2018

 

Ms. Benedicta Nana Esi Nyarko | AI in Networking

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Ms. Benedicta Nana Esi Nyarko: Leading Researcher in AI in Networking

Ms. Benedicta Nana Esi Nyarko, Southwest university of Science and Technology, China.

Congratulations, Ms. Benedicta Nana Esi Nyarko, on winning the esteemed Best Researcher Award from ScienceFather! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field.

Benedicta Nana Esi Nyarko obtained her Bachelor degree in Information & Communication Technology from Data Link University, Tema, Ghana and she obtained her MEng. Information & Communication Engineering from Southwest University of Science and Technology, Mianyang, China, in 2016 and 2021 respectively. She is a Ph.D. candidate in Control Science and Engineering at Southwest University of Science and Technology, Mianyang, China. Her research interest includes, Machine Learning, Computer Vision, Image processing, and Pattern Recognition.

Professional Profiles:

Education:  

  • Southwest University of Science and Technology (PhD. Control Science and Engineering
    Doctor of philosophy )
  • Southwest University of Science and Technology(MEng. Information and Communication Engineering
    Masters Degree )
  • Data Link University College(Bsc. Information and Communication Technology
    Bachelor Degree)

Achievements & Awards:

  • The First Prize of Master Degree Scholarship Southwest University of Science and Technology, China
Experience:
  • Robot Technology Used for Special Environment Key Laboratory of Sichuan Province
  • Judicial Service of Ghana & Ghana National Identification Authority
  • Diamond Cement Ghana
Conferences Attended:
  • New Energy and Energy Storage System Conference
  • The 2nd International Conference on Robotics, Artificial Intelligence and Intelligent Control
  • IEEE AIIOT Congress 2022
Skills:
  • ICT: Adept at using Matlab, HTML/CSS programming Android, Python, MS office Suite, Adobe Photoshop CS6, and
    weka data mining tool.
  • Team Player: Excellent team player and respect ideas of colleagues. (Team Leader GIFEC, at National Emergency
    Centre)Interpersonal Skills: Able to relate well and connect with people from different countries and socio-culture
    background
  • Driving
  • Cooking and cleaning
Publications: