Maurizio D’Arienzo | Computer Network | Best Researcher Award

Published on by Network Awards

Assoc. Prof. Dr. Maurizio D’Arienzo | Computer Network | Best Researcher Award

Assoc. Prof. Dr. Maurizio D’Arienzo, University of Campania “L. Vanvitelli”, Italy

Dr. Maurizio D’Arienzo is an accomplished academic and researcher currently serving as an Associate Professor at the Università della Campania “L. Vanvitelli” in Italy. His career spans over two decades, marked by significant contributions to the field of computer networks, particularly in Quality of Service (QoS), software-defined networks, and collaborative diagnosis frameworks. With a distinguished record of research, teaching, and international collaborations, Dr. D’Arienzo has emerged as a prominent figure in the intersection of information engineering and digital transformation. He holds a reputable position in both academia and applied research through his extensive involvement in European and national research projects and his influential presence in international scientific communities.

🌍 Professional Profile

Google Scholar

Orcid

Scopus

🏆 Suitability for Best Researcher Award

Dr. Maurizio D’Arienzo exemplifies academic excellence, interdisciplinary research innovation, and international collaboration. With a strong publication record, impactful teaching, and extensive involvement in pioneering research projects—particularly in the fields of computer networks, quality of service, and emerging technologies like AI and blockchain—Dr. D’Arienzo has significantly advanced the frontiers of information and communication technologies. His contributions have not only garnered academic recognition but have also demonstrated practical relevance in real-world systems. For these reasons, Dr. D’Arienzo is highly deserving of the Best Researcher Award, and his nomination stands as a testament to his sustained commitment to excellence in research, education, and service to the scientific community.

🎓 Education

Dr. D’Arienzo earned his Ph.D. in Information Technology Engineering from the University “Federico II” of Naples in February 2003. His doctoral thesis focused on the “Deployment of Flexible Services over Programmable Networks,” reflecting his early engagement with adaptive network infrastructure. Prior to this, he obtained his Laurea Degree in Electronic Engineering from the same university in June 1999, where he developed an API for Quality of Service control in video-streaming applications. These foundational academic pursuits laid the groundwork for a research career rooted in real-world applicability and future-oriented network architectures.

💼 Experience

Dr. D’Arienzo’s professional journey began with research collaborations under European framework projects and expanded into prominent fellowships in Italy and the UK. He served as a Research Fellow at Imperial College London from 2005 to 2006, engaging in EPSRC-funded research on self-aware networks. From 2006 to 2023, he held a permanent position as Assistant Professor at the Department of Political Science, Università della Campania. He has contributed to diverse projects like Smarthealth 2.0, PRIN, and PATTERN AI, where his work centered around network security, digital experience testing in 5G environments, and blockchain-integrated privacy models. His leadership in digital transformation projects with institutions like Banco Napoli Foundation underscores his ability to bridge academic innovation with institutional application.

🔬 Research Focus

Dr. D’Arienzo’s research is deeply embedded in computer networks, with a core focus on Quality of Service (QoS) mechanisms, scalable architectures, and adaptive protocol design. He has significantly contributed to the theoretical and experimental validation of communication models supporting multi-service integration. His more recent research explores game-theoretical approaches in sensor network coordination, algorithmic resilience in software-defined networking (SDN), and the security of digital infrastructures. His global academic collaborations further enriched his approach, enhancing innovation in network protocol research and experimentation.

🏅 Awards and Honors

Dr. D’Arienzo has been recognized multiple times for his scholarly contributions. He received the Best Paper Award at AFIN 2010 for the work titled “Smoothing selfishness by isolating non-cooperative nodes in wireless ad hoc networks”, and again at IEEE Symposium 2010 for the development of UANM, a unified architecture for network measurement. His continued excellence was acknowledged in 2017 at AFIN for a framework facilitating dynamic deployment in wireless sensor networks. Furthermore, his certification as a reviewer and active participation in over two dozen international conference committees highlight his esteemed role in the peer review ecosystem.

📚 Publication Top Notes

An Experimental Comparison of Basic Device Localization Systems in Wireless Sensor Networks
Journal: Network
Date: April 14, 2025
DOI: 10.3390/network5020011
Contributors: Maurizio D’Arienzo
Summary: This article explores the performance of several basic device localization systems in the context of wireless sensor networks (WSNs). It experimentally compares key techniques based on metrics such as energy efficiency, accuracy, and deployment complexity. The study provides insights into choosing suitable localization methods for various WSN deployment scenarios, emphasizing trade-offs between precision and resource usage.

A Cost Effective Solution for the Deployment of Wireless Sensor Networks
Journal: International Journal of Mobile Network Design and Innovation, 2019
DOI: 10.1504/ijmndi.2019.10027010
ISSN: 1744-2869
Contributors: M. D’Arienzo, S.P. Romano
Summary: This study proposes a low-cost strategy for deploying wireless sensor networks with minimal overhead. It introduces a deployment framework that balances energy consumption, network coverage, and fault tolerance. The methodology integrates hardware constraints and energy-aware protocols to optimize node placement and connectivity, making it suitable for environmental and structural monitoring applications.

GOSPF: An Energy Efficient Implementation of the OSPF Routing Protocol
Journal: Journal of Network and Computer Applications, 2016
DOI: 10.1016/j.jnca.2016.07.011
EID: 2-s2.0-84985990205
Contributors: D’Arienzo, M.; Romano, S.P.
Summary: The paper presents GOSPF, a green-oriented enhancement of the OSPF (Open Shortest Path First) routing protocol, tailored for energy efficiency in IP-based sensor networks. Through simulations and practical analysis, it demonstrates substantial energy savings while maintaining high routing performance, offering a viable solution for green network design in dynamic environments.

Estimation of the Energy Consumption of Mobile Sensors in WSN Environmental Monitoring Applications
Conference: 27th International Conference on Advanced Information Networking and Applications Workshops (WAINA 2013)
DOI: 10.1109/WAINA.2013.33
EID: 2-s2.0-84881435314
Contributors: Darienzo, M.; Iacono, M.; Marrone, S.; Nardone, R.
Summary: This conference paper evaluates energy usage patterns in mobile sensor nodes within environmental WSNs. By proposing a simulation model and real-world testing scenarios, the authors quantify how mobility affects power consumption and propose strategies for optimizing operational lifespans in long-term monitoring setups.

Petri Net Based Evaluation of Energy Consumption in Wireless Sensor Nodes
Journal: Journal of High Speed Networks, 2013
DOI: 10.3233/JHS-130482
EID: 2-s2.0-84892702986
Contributors: D’Arienzo, M.; Iacono, M.; Marrone, S.; Nardone, R.
Summary: Utilizing Petri nets, this paper models the energy consumption behaviors of sensor nodes within WSNs. The approach allows for detailed representation of node states and transitions, providing designers with a tool for simulating and analyzing energy dynamics under different protocol and application conditions.

Prof Dr. I-Shyan Hwang | Green Network Award | Best Researcher Award

Published on by Network Awards

Prof Dr. I-Shyan Hwang | Green Network Award | Best Researcher Award

Prof Dr. I-Shyan Hwang, Yuan Ze University, Taiwan

Prof. Dr. Hwang is a distinguished academic with a robust educational foundation, holding B.S. and M.S. degrees in Electrical and Electronic Engineering from Chung-Yuan Christian University, along with M.S. and Ph.D. degrees in Electrical and Computer Engineering from the State University of New York at Buffalo. Since 2007, he has served as a Full Professor in the Department of Computer Science and Engineering at Yuan Ze University, Taiwan. His research spans high-impact areas such as fault-tolerant computing, high-speed networks, AI green computing, and optical network infrastructures, all of which are vital to the advancement of next-generation computing systems. A recognized leader in scientific communities, Dr. Hwang has contributed to prestigious journals and served on editorial boards, underscoring his influence in photonics and optical networking. His collaborative, interdisciplinary approach is evident in his numerous joint publications, reflecting his commitment to addressing complex challenges at the intersection of AI, telecommunications, and sustainable technologies.

Professional Profile:

Orcid

Suitability for the Award:

Prof. Dr. I-Shyan Hwang’s career reflects excellence in research, teaching, and leadership in advanced technological fields. His focus on cutting-edge topics such as AI in green computing, software-defined networks, optical networks, and cloud computing infrastructure places him at the forefront of innovation. His impressive publication record and leadership in scholarly communities further solidify his qualifications for the Best Researcher Award.

Extensive Academic and Research Background:

Prof. Dr. Hwang has an impressive academic background with B.S. and M.S. degrees in Electrical and Electronic Engineering from Chung-Yuan Christian University and M.S. and Ph.D. degrees in Electrical and Computer Engineering from the State University of New York at Buffalo.

He has been a Full Professor in the Department of Computer Science and Engineering at Yuan Ze University, Taiwan, since 2007, showcasing his long-standing academic leadership and expertise.

Focus on High-Impact Research Areas:

His research interests cover a wide range of high-impact areas, including fault-tolerant computing, high-speed networks, fixed mobile convergence, heterogeneous multimedia services, AI green computing, and optical network-based infrastructure over cloud computing. These topics are highly relevant to current technological advancements and are crucial for the development of next-generation computing and networking systems.

His work on AI green computing and optical networks addresses sustainability and energy efficiency, which are pivotal areas of global concern today.

Leadership in Scientific Communities:

Dr. Hwang has served on the Editorial Board of the Springer Photonic Network Communications Journal and as a Guest Editor for special issues on Software-Defined Optical Networks. These roles demonstrate his leadership and influence within the academic community, where he has helped shape important conversations in photonics and optical networking.

Collaborative and Interdisciplinary Research:

His work involves collaborations across multiple domains, as evidenced by his joint publications with various researchers. This interdisciplinary approach highlights his ability to work on complex problems and develop solutions that cut across different fields such as AI, machine learning, and telecommunications.

Recent and Impactful Publications:

Prof. Hwang’s recent publications reflect a strong, ongoing commitment to research. The citations and publication in highly reputed journals like IEEE Access and Computers further enhance his reputation as a leading researcher in his fields of expertise.

Publication Top Notes:

  • Title: Peer-to-Peer Federated Learning on Software-Defined Optical Access Network
    • Year: 2024
  • Title: Direct Edge-to-Edge Local-Learning-Assisted Model-Based Transfer Learning
    • Year: 2024
  • Title: Feature-Selection-Based DDoS Attack Detection Using AI Algorithms
    • Year: 2024
  • Title: A Qualitative and Comparative Performance Assessment of Logically Centralized SDN Controllers via Mininet Emulator
    • Year: 2024
  • Title: Flexible Access Network Multi-Tenancy Using NFV/SDN in TWDM-PON
    • Year: 2023

 

Dr. Sheng Hu | New Energy Network | Best Researcher Award

Published on by Network Awards

Dr. Sheng Hu | New Energy Network | Best Researcher Award

Dr. Sheng Hu, Wuhan University of Technology, China

Dr. Sheng Hu holds an M.S. and a Ph.D. in Electrical Engineering from Huazhong University of Science and Technology. With a robust academic background and postdoctoral research experience, he has developed a strong foundation in his field. His professional journey includes a postdoctoral fellowship at Huazhong University and a visiting scholar position at Tandon School of Engineering, NYU. Currently a lecturer at Wuhan University of Technology, Dr. Hu specializes in renewable energy generation systems, control of electric machines, and power electronic converters. His innovative research addresses critical challenges in these areas, contributing significantly to advances in modeling, control, and optimization. Dr. Hu’s impactful work is reflected in his publications and his international collaboration experience, which has enriched his research with diverse methodologies and perspectives.

Professional Profile:

Scopus

Suitability for the Award

  1. Innovative Research:
    • Dr. Hu’s research includes innovative solutions for controlling renewable energy systems and improving the stability and efficiency of power electronic converters. His work on wind turbines and hybrid generation systems demonstrates his expertise in addressing contemporary challenges in energy technology.
  2. Research Impact:
    • The citation counts for his key publications indicate that his work is highly regarded by the research community. His contributions have influenced ongoing research and development in renewable energy and power electronics.
  3. Leadership and Collaboration:
    • His experience as a postdoctoral researcher and visiting scholar, along with his current role as a lecturer, showcases his leadership in research and education. His collaborative efforts with international institutions further demonstrate his commitment to advancing knowledge and technology.
  4. Educational Contributions:
    • Dr. Hu’s role as a lecturer and his involvement in research contribute to the education and development of future engineers and researchers in the field of electrical engineering.

Summary of Qualifications

  1. Educational Background:

    • M.S. in Electrical Engineering (Huazhong University of Science and Technology, 2007).
    • Ph.D. in Electrical Engineering (Huazhong University of Science and Technology, 2012).
    • His advanced education in electrical engineering, combined with postdoctoral research, provides a solid foundation for his expertise.

  2. Professional Experience:

    • Postdoctoral Research Fellow (Huazhong University of Science and Technology, 2012-2015).
    • Visiting Scholar (Tandon School of Engineering, New York University, 2018-2019).
    • Lecturer, School of Automation (Wuhan University of Technology, currently).
    • His experience includes significant research roles and international collaboration, contributing to his broad expertise in the field.

  3. Research Focus and Contributions:

    • Dr. Hu’s main research interests are in renewable energy generation systems, control of electric machines, and power electronic converters.
    • His work addresses critical challenges in renewable energy and power systems, demonstrating innovative approaches in modeling, control, and optimization.

  4. Research Impact:

    • Dr. Hu’s research has contributed significantly to the fields of renewable energy and power electronics, addressing complex issues such as voltage stability and hybrid system optimization.
    • His publications in reputable journals and conferences reflect the relevance and impact of his work in advancing technology and addressing practical challenges in energy systems.

  5. International Collaboration:

    • His role as a visiting scholar at NYU highlights his ability to collaborate on international research projects, enriching his work with diverse perspectives and advanced methodologies.

Publication Top Notes:

“Modeling and Coordinated Control Design for Brushless Doubly-Fed Induction Generator-Based Wind Turbine to Withstand Grid Voltage Unbalance” (2021), published in IEEE Access. This article, which has received 10 citations, focuses on advanced control techniques for wind turbines.

“Research on Capacity Optimization of PV-Wind-Diesel-Battery Hybrid Generation System” (2018), presented at the International Power Electronics Conference. This paper, with 7 citations, discusses optimization strategies for hybrid renewable energy systems.

“Design and Analysis of DC-Link Voltage Stabilizer for Voltage Source Converter as Connected to Weak Grid” (2018), published in Diangong Jishu Xuebao/Transactions of China Electrotechnical Society. This article, with 19 citations, explores voltage stabilization in power converters.

Conclusion

Dr. Sheng Hu is a highly suitable candidate for the Best Researcher Award due to his significant contributions to renewable energy systems and power electronics. His innovative research, impactful publications, and international collaboration underscore his excellence and leadership in the field. Dr. Hu’s work addresses critical challenges in energy technology, making him an outstanding candidate for this prestigious award.