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

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

 

 

Assist Prof Dr. Mahmood Hassan | Computer Networks Award | Best Researcher Award

Assist Prof Dr. Mahmood Hassan | Computer Networks Award | Best Researcher Award

Assist Prof Dr. Mahmood Hassan, Najran University, Saudi Arabia

Dr. Mahmood Ul Hassan is a versatile professional with a rich academic background and extensive experience in academia and research. 🎓 Holding a PhD in Computer Science with a focus on Wireless Sensor Networks, he has demonstrated expertise in areas such as computer networks, research methodology, and artificial intelligence. With over a decade of teaching experience at various institutions, including Najran University and Jouf University, he has excelled in academic planning, quality management, and student welfare. As a prolific researcher, he has authored impactful theses and contributed to numerous workshops and conferences, showcasing his commitment to advancing the field. 💼 His skills span programming languages, web development, and database management, making him a well-rounded professional in the realm of technology.

Professional Profile:

Scopus

Orcid

🎓 Education:

  • PhD in Computer Science from IIC University of Technology, Cambodia
  • MS in Computer Science from COMSATS University, Pakistan
  • BS in Computer Science (Hons) from Hazara University, Pakistan

💼 Experience:

  • PhD Supervisor at IIC University of Technology, Cambodia
  • Assistant Professor at Quality Education Company, Najran University, Saudi Arabia
  • Head of Department at Jouf University, Saudi Arabia
  • Lecturer at Govt. College of Commerce & Management Sciences, Pakistan
  • Research Associate at COMSATS University, Pakistan

🏅 Professional Skills:

  • Courses: Computer Networks, Research Methodology, Operating Systems, Image Processing, Artificial Intelligence
  • Programming Languages: C/C++, Java, C#.NET, JSP, ASP.NET, JavaScript
  • Databases: Microsoft SQL Server, Oracle
  • Operating Systems: Windows, Linux

📚 Thesis and Projects:

  • PhD Thesis: Energy Efficient Techniques for Connectivity Restoration in Wireless Sensor Networks
  • MS (CS) Thesis: Object Recognition using Genetic Algorithm on Shape Descriptors
  • BCS (Hons) Thesis: Identification and Data Management of Suspicious Persons

Scopus Metrics:

  • 📝 Publications: 14 documents indexed in Scopus.
  • 📊 Citations: A total of 64 citations for his publications, reflecting the widespread impact and recognition of Dr. B. Sathiyabhama’s research within the academic community.

Publications Top Notes :

  1. BBSF: Blockchain-Based Secure Weather Forecasting Information through Routing Protocol in Vanet
    • Published in Sensors, 2023, 23(11), 5259.
    • Cited by 4 articles.
  2. An efficient dynamic decision-based task optimization and scheduling approach for microservice-based cost management in mobile cloud computing applications
    • Published in Pervasive and Mobile Computing, 2023, 92, 101785.
    • Cited by 9 articles.
  3. A CNN-Model to Classify Low-Grade and High-Grade Glioma From MRI Images
    • Published in IEEE Access, 2023, 11, pp. 46283–46296.
    • Cited by 6 articles.
  4. A Novel RGB Image Obfuscation Technique Using Dynamically Generated All Order-4 Magic Squares
    • Published in IEEE Access, 2023, 11, pp. 46382–46398.
    • Cited by 1 article.
  5. Improved-Equalized Cluster Head Election Routing Protocol for Wireless Sensor Networks
    • Published in Computer Systems Science and Engineering, 2022, 44(1), pp. 845–858.
    • Cited by 3 articles.