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

Posted on by ScienceFather

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:

Scopus
Orcid

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. Haitham Adarbah | AI in Network Awards | Best Researcher Award

Posted on by ScienceFather

Dr. Haitham Adarbah | AI in Network Awards | Best Researcher Award

Dr. Haitham Adarbah, Texas A&M University, United States

Dr. Haitham Adarbah is a Postdoctoral Researcher at Texas A&M University, Corpus Christi, specializing in communication protocols for autonomous vehicles with a focus on AI and 5G-6G technologies. He holds a Ph.D. in Wireless Networks from De Montfort University, UK, an M.Sc. in Computer Science from Amman Arab University, and a B.Sc. in Computer Science from AL-Zaytoonah University of Jordan. Dr. Adarbah’s research includes enhancing connectivity for autonomous vehicles and has previously explored vehicular networks, 5G, IoT, cloud computing, and AI as an IT Lecturer at Gulf College, Muscat. His significant publications address efficient broadcasting in mobile ad-hoc networks and security improvements in network protocols. With extensive teaching experience, he has mentored students and contributed to curriculum development in Computer Science.

🌍 Professional Profile:

Orcid
Google Scholar

Suitability for the Best Researcher Award

  1. Innovative Research: Dr. Adarbah’s research in advanced areas like 5G-6G connectivity, AI algorithms, and vehicular networks represents cutting-edge work in Computer Science. His focus on optimizing communication protocols and enhancing network performance is highly relevant and impactful.
  2. Publication Record: His publications in reputable journals and conferences reflect a strong research output and influence. The citations of his work indicate that his research is recognized and valued within the academic community.
  3. Cross-Disciplinary Contributions: Dr. Adarbah’s ability to integrate AI with wireless network technologies and his contributions to both theoretical and applied aspects of network research highlight his versatility and expertise in the field.
  4. Teaching and Mentorship: His long-standing teaching experience and dedication to mentoring students demonstrate his commitment to academic excellence and the development of future researchers.
  5. Professional Development: His role in preparing grant proposals and collaborating with industry partners underscores his active engagement in advancing research and securing funding.

🎓 Education:

Dr. Haitham Adarbah is a Postdoctoral Researcher at Texas A&M University, Corpus Christi, specializing in communication protocols for autonomous vehicles with a focus on AI and 5G-6G technologies. He earned his PhD in Wireless Networks from De Montfort University, UK, with research on bandwidth and energy-efficient route discovery. He also holds an M.Sc. in Computer Science from Amman Arab University and a B.Sc. in Computer Science from AL-Zaytoonah University of Jordan.

📚 Academic and Research Experience:

Currently, Dr. Adarbah engages in cutting-edge research on enhancing connectivity for autonomous vehicles at Texas A&M University. His previous role as an IT Lecturer at Gulf College, Muscat, involved teaching and researching in areas such as vehicular networks, 5G, IoT, cloud computing, and AI.

📝 Research Achievements:

Dr. Adarbah’s notable publications include works on efficient broadcasting in mobile ad-hoc networks, the impact of carrier sensing on route discovery, and security improvements in network protocols. His research interests span route discovery mechanisms, noise impact in broadcasting, vehicular networks, and AI applications in wireless technologies.

👨‍🏫 Teaching and Mentorship:

With extensive teaching experience, Dr. Adarbah has mentored students in research and contributed to curriculum design and development across a range of Computer Science subjects.

Publication Top Notes:

  • Title: Efficient Broadcasting for Route Discovery in Mobile Ad-Hoc Networks
    • Year: 2015
    • Citations: 14
  • Title: Impact of Physical and Virtual Carrier Sensing on the Route Discovery Mechanism in Noisy MANETs
    • Year: 2013
    • Citations: 12
  • Title: Impact of Noise and Interference on Probabilistic Broadcast Schemes in Mobile Ad-Hoc Networks
    • Year: 2015
    • Citations: 10
  • Title: Security Challenges of Selective Forwarding Attack and Design a Secure ECDH-Based Authentication Protocol to Improve RPL Security
    • Year: 2022
    • Citations: 6
  • Title: Impact of the Noise Level on the Route Discovery Mechanism in Noisy MANETs
    • Year: 2012
    • Citations: 5

 

 

 

 

 

Assoc Prof Dr. Yuchuan Fu | AI in Network | Best Researcher Award

Posted on by ScienceFather

Assoc Prof Dr. Yuchuan Fu | AI in Network | Best Researcher Award

Assoc Prof Dr. Yuchuan Fu, Xidian University, China

👩‍🎓 Dr. Yuchuan Fu, a Ph.D. graduate in Telecommunications Engineering from Xidian University (2020), is currently an Associate Professor at Xidian University’s School of Telecommunications Engineering. She pursued joint Ph.D. studies at Carleton University, Canada, and has garnered acclaim for her 47 publications in esteemed journals and conferences, earning accolades such as the Outstanding Doctoral Thesis Award and the Best Paper Award at DIVANet’23. Her expertise lies in Artificial Intelligence for Internet of Vehicles and Intelligent Transportation Systems, with notable contributions recognized by prestigious entities like the China Electronics Education Society. Dr. Fu’s impactful research, including 2 ESI highly cited papers and 1 hot paper, underscores her commitment to advancing telecommunications. 🏆🔍📚

🌐 Professional Profiles :

Scopus

Google Scholar

🎓 Education:

Dr. Yuchuan Fu received her Ph.D. degree from Xidian University, China, in Telecommunications Engineering in 2020.

👩‍💼 Experience:

She is currently serving as an Associate Professor at the School of Telecommunications Engineering, Xidian University, Shaanxi, China. Dr. Fu was a joint Ph.D. student with Carleton University, Canada, from 2018 to 2019.

🏆 Achievements:

Dr. Fu’s research interests include AI for Internet of Vehicles, Internet of Things, and Intelligent Transportation Systems. She has published 47 papers in prestigious journals and conferences, with several being highly cited. Her research has earned her recognition through numerous awards, including the Outstanding Doctoral Thesis Award and Best Paper Awards at international conferences.

🔬 Research Focus:

Her current academic focus lies in the areas of Internet of Vehicles and Intelligent Transportation Systems.

📚 Notable Honors:

  • Outstanding Doctoral Thesis Award (China Electronics Education Society, 2020)
  • Outstanding Achievement Award (Special Prize, Shaanxi Higher Education Institutions Science and Technology Research, 2022)
  • Best Paper Award (DIVANet’23 International Conference)
  • Best Demo Award Winner (12th NEEE/CIC International Conference on Communications in China)
  • Best Student Paper Award (ADHOCNETS 2018 International Conference)

📚 Publication Impact and Citations :

Scopus Metrics:

  • 📝 Publications: 45 documents indexed in Scopus.
  • 📊 Citations: A total of 648 citations for his publications, reflecting the widespread impact and recognition of Dr. Yuchuan Fu’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 911 📖
    • h-index: 15  📊
    • i10-index: 18 🔍
  • Since 2018:
    • Citations: 899 📖
    • h-index: 15 📊
    • i10-index: 18 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publications Top Notes :

  1. Vehicle position correction: A vehicular blockchain networks-based GPS error sharing framework
    • Published in IEEE Transactions on Intelligent Transportation Systems in 2020.
    • 113 citations.
  2. A decision-making strategy for vehicle autonomous braking in emergency via deep reinforcement learning
    • Published in IEEE Transactions on Vehicular Technology in 2020.
    • 100 citations.
  3. Vehicular blockchain-based collective learning for connected and autonomous vehicles
    • Published in IEEE Wireless Communications in 2020.
    • 95 citations.
  4. A mobility-aware vehicular caching scheme in content centric networks: Model and optimization
    • Published in IEEE Transactions on Vehicular Technology in 2019.
    • 90 citations.
  5. A survey of blockchain and intelligent networking for the metaverse
    • Published in IEEE Internet of Things Journal in 2022.
    • 78 citations.