Dhulfiqar Zoltán Alwahab | Edge Computing | Best Researcher Award

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Assoc. Prof. Dr. Dhulfiqar Zoltán Alwahab | Edge Computing | Best Researcher Award

Assoc. Prof. Dr. Dhulfiqar Zoltán Alwahab | Obuda University | Hungary

Assoc. Prof. Dr. Dhulfiqar Zoltán Alwahab is an active researcher with 134 citations across 100 documents, producing 28 scholarly publications and holding an h-index of 8. His research spans computer networks, cybersecurity, distributed systems, big data, IoT, cloud computing, and advanced networking technologies, with notable contributions to network automation and programmable network environments. He has participated in multiple research and development initiatives involving P4Edge, UNKP-ELTE-IK, and EFOP-ELTE-IK, contributing to innovative solutions in software-defined networking, Linux systems, and Dev Net-based architectures. His work includes journal and conference publications addressing emerging Internet technologies, intelligent network management, and data-driven optimization methods. He has been involved in several academic and applied research projects, including training-oriented technology programs in Python, AWS, big data, and IoT systems, enriching both industry and academic communities. His research outputs demonstrate meaningful advancements in network security, digital infrastructure design, and scalable cloud services. He has also contributed through instructional roles supporting research capacity building in networking technologies and open-source systems. His achievements reflect significant research engagement, impactful citations, and ongoing contributions to contemporary computing and networking innovations.

Profile: Scopus | ORCID | Google Scholar 

Featured Publications:

Ali, T. E., Ali, F. I., Dakić, P., & Zoltan, A. D. (n.d.). Trends, prospects, challenges, and security in the healthcare internet of things. Computing, 107(1), 28.

Alwahab, D. A., & Laki, S. (n.d.). A simulation-based survey of active queue management algorithms. Proceedings of the 6th International Conference on Communications and Networking.

Biró, C., & Kusper, G. (n.d.). Equivalence of strongly connected graphs and black-and-white 2-SAT problems. Miskolc Mathematical Notes, 19(2), 755–768.

Zaghar, D. (n.d.). Simplified the QoS factor for the ad-hoc network using fuzzy technique. International Journal of Communications, Network and System Sciences.

AlWahab, D. A., Gombos, G., & Laki, S. (n.d.). On a deep q-network-based approach for active queue management. Joint European Conference on Networks and Communications & 6G Summit.

Dr. kiomars sabzevari | Technology and Communication Award | Best Researcher Award

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Dr. kiomars sabzevari | Technology and Communication Award | Best Researcher Award

Dr. kiomars sabzevari, Technical and Vocational University, Iran

Dr. Kiomars Sabzevari, Ph.D., is an Assistant Professor of Electrical Power Engineering at the Technical and Vocational University (TVU) in Tehran, Iran. He earned his doctoral degree in Electrical Engineering from Azad University, Kermanshah, Iran, focusing on modeling, operational analysis, and intelligent control strategies for inverter-based distributed generations in microgrid networks. Kiomars specializes in microgrids, stochastic power systems planning and optimization, renewable generation, and stability analysis. He is actively engaged in research and teaching at TVU, leveraging his expertise in optimization, algorithms, and programming using tools like MATLAB, GAMS, and LaTeX to drive advancements in electrical power systems. 🌟

Professional Profile:

Google Scholar

🎓 Education:

Kiomars Sabzevari holds a Ph.D. in Electrical Engineering from Azad University, Kermanshah, Iran. His doctoral thesis focused on modeling, operational analysis, and intelligent control strategies for inverter-based distributed generations in microgrid networks, with a specialization in power generation using Pareto optimization.

🔍 Research Interests:

As an Assistant Professor in Electrical Power Engineering at the Technical and Vocational University (TVU) in Tehran, Iran, Kiomars specializes in microgrids, stochastic power systems planning and optimization, optimization methods and algorithms, uncertainty modeling, renewable generation, and stability analysis.

💼 Professional Affiliation:

Kiomars is affiliated with the Department of Electrical Engineering at TVU, where he actively contributes to research and teaching endeavors in the field of electrical power systems.

🖥️ Skills & Programming:

With proficiency in optimization, algorithms, programming, and teaching, Kiomars is adept at utilizing tools such as MATLAB, GAMS, LaTeX, and various educational software to advance his research and educational initiatives.

Publications Top Notes :

  1. Modified droop control for improving adaptive virtual impedance strategy for parallel distributed generation units in islanded microgrids
    • Published in International Transactions on Electrical Energy Systems in 2019.
    • Cited by 24 articles.
  2. A novel partial transient active-reactive power coupling method for reactive power sharing
    • Published in International Journal of Electrical Power & Energy Systems in 2019.
    • Cited by 8 articles.
  3. The modeling of UPFC based on circuit elements in an exact transmission line model
    • Published in International Journal of Engineering in 2010.
    • Cited by 8 articles.
  4. Active power filter module function to improve power quality conditions using GWO and PSO techniques for solar photovoltaic arrays and battery energy storage systems
    • Published in Journal of Energy Storage in 2023.
    • Cited by 7 articles.
  5. Low-voltage ride-through capability in a DFIG using FO-PID and RCO techniques under symmetrical and asymmetrical faults
    • Published in Scientific Reports in 2023.
    • Cited by 2 articles.

 

 

 

 

 

Network Innovator Excellence Award

Published on by Network Awards

Network Innovator Excellence Award

Introduction: Welcome to the Network Innovator Excellence Award, a prestigious accolade honoring trailblazers in the dynamic field of network protocols. This award celebrates those whose groundbreaking work has pushed the boundaries of innovation and has significantly contributed to the evolution of network technologies.

Award Eligibility: The Network Innovator Excellence Award is open to individuals of all ages, backgrounds, and affiliations who have demonstrated exceptional innovation and impact in the realm of network protocols.

Qualifications and Publications: Candidates should possess a proven track record of innovative contributions to the development or advancement of network protocols. There are no specific age limits or academic qualifications required. A comprehensive list of publications showcasing the nominee's work in the field is highly encouraged.

Requirements for Submission: Nominees must submit a detailed biography, an abstract highlighting their key achievements, and supporting files that substantiate their contributions. The submission should align with the evaluation criteria outlined below.

Evaluation Criteria: Submissions will be evaluated based on the level of innovation, impact on the field, and the significance of contributions to network protocols. The judging panel will also consider the practical applications and potential for future advancements resulting from the nominee's work.

Submission Guidelines:

  • Submit a detailed biography.
  • Include an abstract summarizing key achievements.
  • Attach supporting files validating contributions.
  • Ensure all materials are submitted by the specified deadline.

Recognition and Community Impact: The recipient of the Network Innovator Excellence Award will receive widespread recognition within the technology and communication industry. This acknowledgment extends to an online platform, industry events, and relevant publications. The award aims to foster a sense of community impact by inspiring others to push the boundaries of innovation.

Biography: Nominees are required to submit a detailed biography outlining their professional journey, key accomplishments, and their impact on the field of network protocols.

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