Eirini Eleni Tsiropoulou | Engineering | Best Researcher Award

Assoc. Prof. Dr. Eirini Eleni Tsiropoulou | Engineering | Best Researcher Award

Assoc. Prof. Dr. Eirini Eleni Tsiropoulou, Arizona State University, United States

Dr. Eirini Eleni Tsiropoulou is a tenured Associate Professor at the School of Electricahttps://academicexcellenceawards.com/eirini-eleni-tsiropoulou-engineering-best-researcher-award-2472/engil, Computer, and Energy Engineering at Arizona State University. Born in Athens, Greece, she is a U.S. lawful permanent resident fluent in Greek, English, and German. With expertise in game theory, reinforcement learning, distributed decision-making, and artificial intelligence-driven cyber-physical systems, Dr. Tsiropoulou has significantly contributed to optimizing dynamic systems under uncertainty. Her research focuses on resource orchestration in constrained environments and control of interdependent systems. Before joining Arizona State University, she held academic and research positions at the University of New Mexico, the University of Maryland, and the University of Texas at Dallas. She has been recognized globally for her contributions to engineering, including prestigious awards for research excellence, outstanding reviewing, and best paper distinctions. As a leader in her field, she serves on various IEEE committees and continues to shape the future of smart and adaptive systems.

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Suitability of Dr. Eirini Eleni Tsiropoulou for the Research for Best Researcher Award

Dr. Eirini Eleni Tsiropoulou is a distinguished researcher in Electrical, Computer, and Energy Engineering, currently serving as an Associate Professor with tenure at Arizona State University. Her research focuses on game theory, reinforcement learning, distributed decision-making, and optimization in dynamic systems, demonstrating a strong interdisciplinary approach to complex problem-solving. Her extensive professional experience across prestigious institutions—including the University of New Mexico, Sandia National Laboratories, and the University of Maryland—underscores her leadership in academia and applied research.

Her impressive record of accolades highlights her significant contributions to the field. She has received numerous awards for research excellence, including the IEEE Early Career Award, multiple Best Paper Awards, and the NSF CRII Award, which showcases her ability to secure competitive funding. Furthermore, her recognition as an IEEE Senior Member and her leadership in various IEEE conferences and technical committees reinforce her impact on the global research community.

🎓 Education

Dr. Eirini Eleni Tsiropoulou holds a Ph.D. in Electrical and Computer Engineering from the National Technical University of Athens (NTUA), where she specialized in optimal resource allocation in next-generation wireless networks. She also earned an MBA in Project Management from NTUA, ranking in the top 1% of her class. Her MBA thesis focused on emissions analysis in power sectors through mathematical modeling. Additionally, she holds a five-year Diploma in Electrical and Computer Engineering from NTUA, again ranking among the top 1% of her class. Her diploma thesis explored game-theoretic approaches to power control in CDMA networks. Through her rigorous academic training, Dr. Tsiropoulou developed a strong foundation in systems optimization, distributed algorithms, and network management, setting the stage for her impactful research career. Her interdisciplinary education blends engineering excellence with strategic project management, equipping her to address complex challenges in modern technological systems.

💼 Professional Experience

Dr. Tsiropoulou is currently an Associate Professor with Tenure at Arizona State University. Previously, she held the same role at the University of New Mexico (UNM). She also served as a PO Contractor at Sandia National Laboratories, contributing to high-impact national security projects. Earlier, she worked as an Assistant Professor at UNM, a Postdoctoral Associate at the University of Maryland and the University of Texas at Dallas, and a Research Fellow at NTUA. Her career spans academia, research, and collaboration with industry and government agencies. She has led multiple NSF-funded projects and guided students in cutting-edge research. Her expertise in reinforcement learning, cyber-physical systems, and optimization has led to transformative advancements in wireless networks and intelligent systems. She actively contributes to IEEE conferences and editorial boards, shaping the future of network science and engineering through interdisciplinary innovation and leadership.

🏅 Awards & Recognition

Dr. Tsiropoulou has received numerous prestigious awards for her contributions to engineering. She was honored as an Excellent Reviewer by IEEE Transactions on Network Science and Engineering (2024) and the IEEE OJCOMS (2024). She won the Best Paper Runner-up Award from IEEE Transactions on Mobile Computing (2023) and received the Research and Creative Works Leader Award at UNM (2023). Recognized for excellence in education, she earned the IEEE Albuquerque Section’s Outstanding Engineering Educator Award (2021). Her research contributions were acknowledged with the IEEE Communications Society Early Career Award (2020) and multiple Best Paper Awards at top-tier conferences like INFOCOM and BRAINS. She was named an IEEE Senior Member (2021) and served on elite IEEE technical committees. Before joining UNM, she received the N2 Women Rising Stars in Networking and Communications Award (2017). Her accolades underscore her leadership and innovative contributions to engineering and academia.

🌍 Research Skills On Engineering

Dr. Tsiropoulou’s research expertise spans game theory, reinforcement learning, optimization of dynamic systems, and distributed decision-making. She specializes in designing adaptive cyber-physical systems for resource-constrained environments, ensuring efficiency in networked infrastructures. Her work integrates stochastic modeling and artificial intelligence to tackle real-world engineering problems. She has made significant contributions to network resource orchestration, security, and autonomous systems control. A key aspect of her research is the application of software-defined networking and AI-driven optimization in complex, uncertain environments. Her interdisciplinary approach enables the development of robust, intelligent frameworks for next-generation wireless networks and smart infrastructures. She has successfully led multiple NSF-funded research projects, collaborating with academia and industry. As an editorial board member for top IEEE journals, she advances knowledge in network science and engineering. Her pioneering research continues to drive innovation in computational intelligence, cybersecurity, and real-time system optimization.

📖 Publication Top Notes

  • Data offloading in UAV-assisted multi-access edge computing systems under resource uncertainty
    Authors: PA Apostolopoulos, G Fragkos, EE Tsiropoulou, S Papavassiliou
    Citation: 170
    Year: 2021
    Journal: IEEE Transactions on Mobile Computing 22 (1), 175-190

  • Game theory for wireless communications and networking
    Authors: Y Zhang, M Guizani
    Citation: 162
    Year: 2011
    Publisher: CRC Press

  • Risk-aware data offloading in multi-server multi-access edge computing environment
    Authors: PA Apostolopoulos, EE Tsiropoulou, S Papavassiliou
    Citation: 161
    Year: 2020
    Journal: IEEE/ACM Transactions on Networking 28 (3), 1405-1418

  • Machine learning and intelligent communications
    Authors: XL Huang, X Ma, F Hu
    Citation: 145
    Year: 2018
    Journal: Mobile Networks and Applications 23, 68-70

  • Interest, energy and physical-aware coalition formation and resource allocation in smart IoT applications
    Authors: EE Tsiropoulou, ST Paruchuri, JS Baras
    Citation: 141
    Year: 2017
    Conference: 51st Annual Conference on Information Sciences and Systems (CISS), 1-6

  • Wireless powered public safety IoT: A UAV-assisted adaptive-learning approach towards energy efficiency
    Authors: D Sikeridis, EE Tsiropoulou, M Devetsikiotis, S Papavassiliou
    Citation: 115
    Year: 2018
    Journal: Journal of Network and Computer Applications 123, 69-79

  • Resource Allocation in Next-Generation Broadband Wireless Access Networks
    Authors: C Singhal, S De
    Citation: 115
    Year: 2017
    Publisher: IGI Global

  • Interest-aware energy collection & resource management in machine to machine communications
    Authors: EE Tsiropoulou, G Mitsis, S Papavassiliou
    Citation: 111
    Year: 2018
    Journal: Ad Hoc Networks 68, 48-57

  • Big data in complex and social networks
    Authors: MT Thai, W Wu, H Xiong
    Citation: 110
    Year: 2016
    Publisher: CRC Press

  • Price and risk awareness for data offloading decision-making in edge computing systems
    Authors: G Mitsis, EE Tsiropoulou, S Papavassiliou
    Citation: 103
    Year: 2022
    Journal: IEEE Systems Journal 16 (4), 6546-6557

Lin Chen | Computer Science | Best Researcher Award

Prof. Lin Chen | Computer Science | Best Researcher Award

Prof. Lin Chen, Macao Polytechnic University, Macau

Lin Chen, a distinguished scholar and innovator in Computer Science, serves as a full professor at Macao Polytechnic University since 2025. He obtained his B.Sc. in Electrical Engineering from Southeast University (2002), an M.Sc. in Networking from the University of Paris 6 (2005), and an Engineer Diploma and Ph.D. in Computer Science from Telecom ParisTech (2005, 2008). Dr. Chen further achieved his Habilitation thesis at the University of Paris-Sud in 2017. His illustrious career spans academia and research, including tenures as an associate professor at the University of Paris-Sud and a full professor at Sun Yat-sen University. Renowned for contributions to distributed algorithms, energy-efficient systems, and network security, he has published over 100 papers, with several receiving accolades. He is a Junior Member of the Institut Universitaire de France (IUF) and an editor for IEEE Systems Journals, demonstrating leadership in advancing the field of networked systems.

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Suitability for the “Research for Best Researcher Award” – Lin Chen

Lin Chen’s qualifications and achievements make him an outstanding candidate for the “Research for Best Researcher Award.” As a full professor of Computer Science at Macao Polytechnic University, his distinguished academic and research background places him among the leading experts in his field. His educational journey, which spans multiple prestigious institutions, reflects a profound commitment to advancing knowledge in Computer Science and Networking. Holding a Ph.D. in Computer Science and Networking from Telecom ParisTech (ENST), along with a Habilitation thesis from the University of Paris-Sud, Lin’s academic credentials are both comprehensive and prestigious.

Lin Chen’s research contributions, particularly in the realm of distributed algorithms and protocols for emerging networked systems, are exemplary. His work on energy efficiency, resilience, and security is highly relevant to current and future technological advancements. Having published over 100 journal and conference papers, with several highly cited works, Lin’s research is not only influential but recognized as a major contribution to the field. His three ESI Highly Cited Papers and multiple Best Paper and Best Student Paper awards underline his impact in the academic community.

🎓 Education 

Lin Chen’s academic journey reflects a steadfast commitment to excellence and interdisciplinary learning. He earned his B.Sc. in Electrical Engineering from Southeast University in 2002, laying a strong foundation in technical problem-solving and system design. Driven by his passion for innovation, he pursued an M.Sc. in Networking at the University of Paris 6 in 2005, where he developed expertise in network protocols and optimization. His quest for advanced knowledge led him to Telecom ParisTech (ENST), where he received an Engineer Diploma and a Ph.D. in Computer Science and Networking in 2005 and 2008, respectively, focusing on distributed systems and secure network architecture. Further solidifying his credentials, he achieved his Habilitation thesis at the University of Paris-Sud in 2017, showcasing his authority in energy-efficient and resilient systems. This educational foundation underscores Dr. Chen’s expertise in bridging theoretical innovation with practical applications in emerging technologies.

💼 Professional Experience 

Lin Chen boasts a remarkable professional trajectory spanning prestigious institutions and transformative research. He began his academic career as an associate professor in the Department of Computer Science at the University of Paris-Sud (2009–2019), where he spearheaded groundbreaking projects on distributed algorithms and energy-efficient systems. In 2019, he advanced to a full professorship at Sun Yat-sen University, focusing on secure and resilient networked systems, before joining Macao Polytechnic University in 2025. Dr. Chen’s leadership extends beyond academia, serving as the Chair of the IEEE TCGCC SIG on Green and Sustainable Networking. He has significantly influenced the field through editorial roles in IEEE Systems Journals and guest editing for top-tier publications. His prolific contributions include organizing international conferences, such as ICCCN and INFOCOM workshops, underscoring his commitment to fostering innovation in computer science. His work remains a testament to his dedication to advancing next-generation networking technologies.

🏅 Awards and Recognition 

Lin Chen’s exceptional contributions have garnered numerous accolades, reflecting his influence in computer science and networking. He received the 2018 CNRS Bronze Medal, a prestigious recognition reserved for exemplary researchers, being one of only two awardees in ICT that year. His research has produced over 100 impactful publications, including three journal papers recognized as ESI Highly Cited Papers and three conference papers awarded Best Paper or Best Student Paper honors. Dr. Chen’s leadership and expertise have earned him the distinction of Junior Member of the Institut Universitaire de France (IUF). His editorial roles with IEEE Systems Journals and guest editorships in leading publications like IEEE Wireless Communications Magazine further underscore his contributions. As a driving force behind initiatives such as the IEEE TCGCC SIG on Green Networking, he continues to shape the future of secure, energy-efficient, and sustainable networked systems, inspiring researchers worldwide.

🌍 Research Skills On Computer Science

Lin Chen is a leading researcher specializing in distributed algorithms, energy efficiency, resilience, and network security. His work is characterized by a multidisciplinary approach, seamlessly integrating theoretical insights with practical solutions. He has developed innovative protocols for emerging networked systems, addressing critical challenges in energy efficiency and sustainable computing. Dr. Chen’s expertise extends to secure network architecture, ensuring robust communication frameworks for dynamic and large-scale systems. His research leverages advanced methodologies, including machine learning and artificial intelligence, to optimize network performance and enhance resilience. With a focus on green networking, he has pioneered strategies for reducing energy consumption in ultra-dense networks. His technical acumen is complemented by his extensive experience in project leadership and collaboration, as demonstrated by his active participation in international conferences and editorial roles. Dr. Chen’s research continues to influence the development of scalable, secure, and sustainable next-generation technologies.

📖 Publication Top Notes

  • Routing metrics of cognitive radio networks: A survey
    Authors: M Youssef, M Ibrahim, M Abdelatif, L Chen, AV Vasilakos
    Journal: IEEE Communications Surveys & Tutorials
    Citation: 388
    Year: 2013
  • A game theoretical framework on intrusion detection in heterogeneous networks
    Authors: L Chen, J Leneutre
    Journal: Information Forensics and Security, IEEE Transactions on
    Citation: 190
    Year: 2009
  • An auction framework for spectrum allocation with interference constraint in cognitive radio networks
    Authors: L Chen, S Iellamo, M Coupechoux, P Godlewski
    Journal: INFOCOM, 2010 Proceedings IEEE
    Citation: 124
    Year: 2010
  • Joint multiuser DNN partitioning and computational resource allocation for collaborative edge intelligence
    Authors: X Tang, X Chen, L Zeng, S Yu, L Chen
    Journal: IEEE Internet of Things Journal
    Citation: 110
    Year: 2020
  • Energy-efficiency maximization for cooperative spectrum sensing in cognitive sensor networks
    Authors: M Zheng, L Chen, W Liang, H Yu, J Wu
    Journal: IEEE Transactions on Green Communications and Networking
    Citation: 101
    Year: 2016
  • A distributed demand-side management framework for the smart grid
    Authors: A Barbato, A Capone, L Chen, F Martignon, S Paris
    Journal: Computer Communications
    Citation: 98
    Year: 2015
  • On oblivious neighbor discovery in distributed wireless networks with directional antennas: Theoretical foundation and algorithm design
    Authors: L Chen, Y Li, AV Vasilakos
    Journal: IEEE/ACM Transactions on Networking
    Citation: 88*
    Year: 2017
  • Secure cooperative spectrum sensing and access against intelligent malicious behaviors
    Authors: W Wang, L Chen, KG Shin, L Duan
    Journal: INFOCOM, 2014 Proceedings IEEE
    Citation: 86*
    Year: 2014
  • On heterogeneous neighbor discovery in wireless sensor networks
    Authors: L Chen, R Fan, K Bian, M Gerla, T Wang, X Li
    Journal: 2015 IEEE Conference on Computer Communications (INFOCOM)
    Citation: 80
    Year: 2015
  • An efficient auction-based mechanism for mobile data offloading
    Authors: S Paris, F Martignon, I Filippini, L Chen
    Journal: IEEE Transactions on Mobile Computing
    Citation: 75
    Year: 2015