Prof. Dr. Resul Das | Computer Networks Awards | Best Faculty Award

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Prof. Dr. Resul Das | Computer Networks Awards | Best Faculty Award

Prof. Dr. Resul Das, Firat Universtiy, Turkey

Prof. Dr. Resul Das is a Full Professor in the Department of Software Engineering at Firat University, Turkey, specializing in software engineering, cyber security, data science, and IoT solutions. He earned his Ph.D. in Electrical-Electronics Engineering from Firat University and later pursued postdoctoral research at the University of Alberta, Canada, where he focused on multi-sensor data fusion and IoT security. Prof. Dr. Das has a strong academic background, with research interests spanning agile software development, network management, machine learning, and smart applications. He has received numerous awards, including TÜBiTAK’s Academic Publication Encouragement Award and the European Union’s Leonardo Da Vinci Education Grant. Prof. Dr. Das is also an active member of professional associations, including the Cisco Networking Academy and the Vocational and Technical Education Development Association. ✨🎉

Publication Profile:

Scopus
Orcid
Google Scholar

Suitability for the Award

Prof. Dr. Resul Das’s extensive academic contributions, global research impact, and leadership in advancing education and research make him a highly suitable candidate for the Research for Best Faculty Award. His work in IoT security, graph data science, and fog computing has not only addressed critical technological challenges but also influenced subsequent research and applications. 💡💥

Academic Background

Prof. Dr. Resul Das earned his Ph.D. in Electrical-Electronics Engineering from Firat University, Turkey (2008), with a focus on Knowledge Extraction from Web User Access Logs. He also completed his M.Sc. in Electronics and Computer Science (2002) from the same institution, specializing in Video Conference System Design. 🔐💡

Research Interests

His expertise spans Software Engineering, Computer Networks, Cyber Security, Data Science, and IoT/M2M Solutions, particularly in multi-sensor data fusion, IoT security, smart grids, fog computing, and big data. His work on cyber-attacks, machine learning, and network optimization contributes to advancing modern tech infrastructure. 🎉💡

Professional Career

Currently a Full Professor at Firat University, Dr. Das has held notable positions as a Visiting Professor at the University of Alberta, Canada, and has led numerous successful research projects in IoT security and data fusion. His contributions have earned him several prestigious awards, including TÜBiTAK Academic Publication Encouragement Award (16 times) and the EU Leonardo Da Vinci Education Grant (2006). 🌍✨

Global Recognition

A TÜBiTAK International Postdoctoral Research Fellowship recipient, Prof. Dr. Das has also contributed significantly as a Cisco Networking Academy Instructor and Project Coordinator. His work has been recognized globally for its impact on cyber security and data science advancements. 🔐💡🌍

Publication Top Notes:

  • Effective diagnosis of heart disease through neural networks ensembles
    • Citations: 848
    • Year: 2009
  • Cyber-security in smart grids: Threats and potential solutions
    • Citations: 729
    • Year: 2020
  • A comparison of multiple classification methods for diagnosis of Parkinson’s disease
    • Citations: 486
    • Year: 2010
  • Performance analysis of classification algorithms on early detection of liver disease
    • Citations: 221
    • Year: 2017
  • A novel honeypot-based security approach for real-time intrusion detection and prevention systems
    • Citations: 139
    • Year: 2018

 

 

Dr. Mokhtar Mohamed | Efficient Networking Awards | Best Researcher Award

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Dr. Mokhtar Mohamed | Efficient Networking Awards | Best Researcher Award

Dr. Mokhtar Mohamed, Delta university for Science and Technology, Egypt

Dr. Mokhtar Mohamed is a dedicated scholar specializing in Engineering Mathematics, currently serving at Delta University for Science and Technology in Egypt. He holds a Ph.D. and an M.Sc. from the Faculty of Engineering at Zagazig University, with his doctoral research focusing on the nonlinear quadrature analysis of photocurrent transients in organic polymer solar cells, resulting in three published papers. Earlier, his master’s thesis explored nonlinear quadrature analysis in nano beam vibration problems, yielding two published papers. Dr. Mohamed’s academic pursuits highlight his expertise in advanced mathematical modeling, with interests spanning group methods for solving partial differential equations, hidden symmetries, fluid dynamics, boundary layer problems, and numerical analysis. His personal skills include effective communication, strong teamwork, and a goal-oriented approach, reflecting his commitment to academic excellence and research advancement in engineering sciences.

Professional Profile:

Google Scholar
Orcid
Scopus

🎓 Education:

Dr. Mokhtar Mohamed is a dedicated scholar specializing in Engineering Mathematics, holding a Ph.D. and an M.Sc. from the Faculty of Engineering at Zagazig University. His doctoral research focused on the nonlinear quadrature analysis of photocurrent transients in organic polymer solar cells, resulting in three published papers. Earlier, his master’s thesis explored nonlinear quadrature analysis in nano beam vibration problems, yielding two published papers. Dr. Mohamed’s academic pursuits highlight his expertise in advanced mathematical modeling and his contributions to the field of engineering sciences.

👨‍🏫 Teaching Topics:

Expertise in Algebra, Analytic Geometry, Differential and Integral Calculus, Numerical Methods, Solution of Ordinary and Partial Differential Equations, Complex Analysis, Special Functions, Laplace Transform, Fourier Transform, Sequences, Infinite Series, Multiple Integrals, Statistics and Probability, Mechanics (Static and Dynamic courses).

🔬 Interests:

Research interests include group methods for solving partial differential equations, hidden symmetries of differential equations, fluid dynamics, boundary layer problems, and numerical analysis of nanobeam problems using DQM.

🌟 Personal Skills:

Known for good communication skills, adept at both independent work and teamwork, quick learner, goal-oriented, highly productive, and efficient worker.

Publication Top Notes:

 

 

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

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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.