Christos Bouras | Computer Science | Research Excellence Award

Prof. Christos Bouras | Computer Science | Research Excellence Award

Prof. Christos Bouras | University of Patras | Greece

Professor Christos Bouras is a distinguished academic leader and renowned computer engineering expert, currently serving as Professor in the Department of Computer Engineering and Informatics and Rector of the University of Patras, Greece. He holds a Diploma and a PhD in Computer Engineering and Informatics from the University of Patras. Over the course of his career, he has made substantial contributions to advanced networking technologies, digital communications, and distributed systems while leading major academic, administrative, and international initiatives. His research expertise spans and Beyond Networks, performance analysis of networking and computer systems, mobile and wireless communications, telematics, QoS and pricing mechanisms, e-learning technologies, and networked virtual environments. As an active member of IEEE and ACM, Professor Bouras has built a global reputation for innovative contributions and collaborative research. He has also held several prestigious roles, including Honorary Professor at the College of Information Engineering, Sichuan Agricultural University, China, and President of the University of Patras Property Utilization & Management Company. His long-standing academic leadership is matched by a major international presence in scholarly events. Professor Bouras has participated extensively in international conference committees for more than three decades, contributing to global research dialogue in computing, networking, and educational technologies. His committee roles span top-tier conferences such as ACM STOC, ICALP, IEEE ICALT, ICL, ICWN, ICOMP, GRID Computing, and numerous specialized workshops across Europe, Asia, and North America. His involvement includes organizing committees, program committees, keynote speaking, and advisory roles in areas such as distributed algorithms, multimedia systems, web-based learning, virtual environments, mobile technologies, simulation and modeling, and entertainment computing. Widely respected for his research excellence, international collaboration, and academic leadership, Professor Bouras continues to advance global innovation in computer networks, digital systems, and technology-enhanced learning.

Profiles: Google Scholar

Featured Publications

Jurgelionis, A., Fechteler, P., Eisert, P., Bellotti, F., David, H., Laulajainen, J. P., Bouras, C., … (2009). Platform for distributed 3D gaming. International Journal of Computer Games Technology, 2009(1), Article 231863.

Bouras, C., Kollia, A., & Papazois, A. (2017). SDN & NFV in 5G: Advancements and challenges. In 2017 20th Conference on Innovations in Clouds, Internet and Networks (ICIN) (pp. xx–xx). IEEE.

Bouras, C., & Tsogkas, V. (2012). A clustering technique for news articles using WordNet. Knowledge-Based Systems, 36, 115–128.

Bouras, C., & Tsiatsos, T. (2006). Educational virtual environments: Design rationale and architecture. Multimedia Tools and Applications, 29(2), 153–173.

Bouras, C., Philopoulos, A., & Tsiatsos, T. (2001). e-Learning through distributed virtual environments. Journal of Network and Computer Applications, 24(3), 175–199.

Bouras, C., Ntarzanos, P., & Papazois, A. (2016). Cost modeling for SDN/NFV based mobile 5G networks. In 2016 8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) (pp. xx–xx). IEEE.

Bouras, C., Konidaris, A., & Kostoulas, D. (2004). Predictive prefetching on the web and its potential impact in the wide area. World Wide Web, 7(2), 143–179.

Kun He | Computer Science | Research Excellence Award

Assoc Prof Dr. Kun He | Computer Science | Research Excellence Award 

Renmin University | China

Dr. Kun He is an accomplished computer scientist and currently serves as an Associate Professor at Renmin University of China (since January 2023). His academic journey reflects a strong foundation in theoretical computer science, backed by extensive research experience across leading Chinese institutions. Before joining Renmin University, he worked at the Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), first as an Assistant Researcher (2021–2022) and later as an Associate Researcher (2022). He also completed a postdoctoral fellowship at Shenzhen University between 2019 and 2021. Dr. He earned his Ph.D. in Computer Science from ICT, CAS in 2019 under the supervision of Prof. Xiaoming Sun. He also holds a Master’s degree from ICT, CAS and a Bachelor of Engineering in Computer Science from Wuhan University. His research centers on the theory of computing, with particular emphasis on probabilistic methods, sampling algorithms, quantum computing, combinatorial structures, and theoretical machine learning. His work has significantly advanced algorithmic techniques related to the Lovász Local Lemma (LLL), Holant problems, and random constraint satisfaction. Over the years, Dr. He has received numerous prestigious awards recognizing the impact and quality of his research. These include the New Hundred Stars of ICT (2021), the Outstanding Doctoral Dissertation Award of the China Computer Federation (2020), the Special Award for the President of CAS (2019), and the National Scholarship of China (2018). These honors highlight his early and sustained contributions to theoretical computer science. Dr. He has published extensively in top-tier venues such as SODA, STOC, FOCS, ITCS, and Random Structures & Algorithms. His notable works include breakthroughs on the Moser–Tardos algorithm, deterministic counting versions of the Lovász Local Lemma, sampling solutions to random CNF formulas, and quantum extensions of classical combinatorial frameworks. Several of his papers have been widely cited and recognized, including a top-downloaded publication in Random Structures & Algorithms (2020). Recently, his research continues to push theoretical boundaries, with upcoming papers on the phase transition of the Sinkhorn–Knopp algorithm and efficient approximation schemes for Holant problems. Dr. He also actively works on emerging topics involving perfect sampling and permutation constraints within the Lopsided LLL regime, with multiple manuscripts currently under submission. With strong expertise, a prolific publication record, and multiple high-impact contributions, Dr. Kun He stands as a leading figure in modern theoretical computer science.

Profiles: Scopus | Google Scholar

Featured Publications

He, K., Li, L., Liu, X., Wang, Y., & Xia, M. (2025). Variable version Lovász Local Lemma: A tale of two boundaries. Information and Computation, 105386.

He, K. (2025). Phase transition of the Sinkhorn-Knopp algorithm. arXiv preprint arXiv:2507.09711.

He, K., Li, Z., Qiu, G., & Zhang, C. (2025). FPTAS for Holant problems with log-concave signatures. In Proceedings of the 2025 Annual ACM–SIAM Symposium on Discrete Algorithms (SODA).

He, K., Qiu, G., & Sun, X. (2024). Sampling permutations satisfying constraints within the lopsided local lemma regime. arXiv preprint arXiv:2411.02750.

He, K., Qiu, G., & Sun, X. (2024). Sampling permutations satisfying constraints within and beyond the local lemma regime. arXiv e-prints, arXiv:2411.02750.

He, K., Li, Q., & Sun, X. (2023). Moser-Tardos algorithm: Beyond Shearer’s bound. In Proceedings of the 2023 Annual ACM–SIAM Symposium on Discrete Algorithms (SODA).

He, K., Wang, C., & Yin, Y. (2023). Deterministic counting Lovász Local Lemma beyond linear programming. In Proceedings of the 2023 Annual ACM–SIAM Symposium on Discrete Algorithms (SODA).

He, K., Wu, K., & Yang, K. (2023). Improved bounds for sampling solutions of random CNF formulas. In Proceedings of the 2023 Annual ACM–SIAM Symposium on Discrete Algorithms (SODA).

He, K., Wang, C., & Yin, Y. (2022). Sampling Lovász Local Lemma for general constraint satisfaction solutions in near-linear time. In 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS).

Alaba Ayotunde Fadele | Computer Science | Research Excellence Award

Dr. Alaba Ayotunde Fadele | Computer Science | Research Excellence Award

Dr. Alaba Ayotunde Fadele | Federal University of Education | Nigeria

Dr. Alaba Ayotunde Fadele is a distinguished computer scientist and academic leader whose work spans blockchain, cybersecurity, IoT systems, and smart contract security. He is currently a Post-Doctoral Fellow at the Instituto de Estudos e Desenvolvemento de Galicia (IDEGA), Madrid, Spain, beginning in 2025. He holds two Ph.D. degrees: a Ph.D. in Computer Science with a specialization in Blockchain from the International University, Bamenda (2020–2023), where his research focused on smart contracts and cyber security, and a Ph.D. in Computer Science from the University of Malaya (2016–2019), specializing in IoT and cyber security. His earlier academic foundations include a Master of Computer Science (2011–2014) from Ahmadu Bello University, a Postgraduate Diploma in Education (2011–2012) from Usman Danfodio University, and a First Class Honours Bachelor’s degree in Computer Science (2004–2008) from Nasarawa State University. Dr. Fadele has held major administrative and academic leadership roles, including Director of the ICT Unit at the Federal University of Education, Zaria (from October 2025), Head of the Department of Computer Science (from June 2025), and Head of the Communications Advancement Unit in the Directorate of University Advancement (2024–2025). He has served as a full-time lecturer at the Federal University of Education, Zaria since 2010, a visiting lecturer at St. Francis of Assisi College of Education since 2021, and previously as a lecturer at the Federal Polytechnic Bauchi, as well as a Research Assistant at the University of Malaya. His outstanding contributions have earned him the 2019 JNCA Best Survey Paper Award, Best Presenter Award at the Faculty of Computer Science and Information Technology Postgraduate Symposium in Malaysia (2017), and recognition as the Best Graduating Student in Computer Science at Nasarawa State University (2007/2008). Dr. Fadele has authored 20 scholarly publications, accumulating 1,253 citations from 1,245 documents, and holds an h-index of 10, reflecting his impactful contributions to cyber security, IoT research, blockchain systems, and advanced computing innovations.

Profiles: Scopus Orcid 

Featured Publications

Alaba, F. A., & Rocha, A. (2025). Conclusions, future directions, and recommendations. In F. A. Alaba & A. Rocha (Eds.), Studies in Systems, Decision and Control (Chapter 5). Springer.

Alaba, F. A., & Rocha, A. (2025). Implementation results. In F. A. Alaba & A. Rocha (Eds.), Studies in Systems, Decision and Control (Chapter 4). Springer.

Alaba, F. A., & Rocha, A. (2025). Machine learning algorithms on malware detection against smart wearable devices. In F. A. Alaba & A. Rocha (Eds.), Studies in Systems, Decision and Control (Chapter 3). Springer.

Alaba, F. A., & Rocha, A. (2025). Security challenges of wearable technology. In F. A. Alaba & A. Rocha (Eds.), Studies in Systems, Decision and Control (Chapter 2). Springer.