Mr. Petros Barmpas | Statistical Analysis | Best Researcher Award

Mr at University of The, Greece

Petros Barmpas is a dedicated researcher with a strong background in computer science and biomedical informatics. He has been advancing his academic journey at the University of Thessaly since 2020, following his graduation from the University of Patras with a degree in Computer Engineering and Informatics in 2019. His career is marked by an impressive series of publications and contributions to significant projects in the fields of machine learning, clustering methodologies, and the study of healthcare informatics. Petros is married and a proud father, balancing his professional and personal life with dedication and resilience. His contributions in AI and data analysis have cemented his reputation in both academic and practical applications of computational science.

Education 🎓

Petros Barmpas embarked on his academic career by completing high school in Kozani from 2010 to 2013. He then pursued his Bachelor’s degree in Computer Engineering and Informatics at the University of Patras, graduating in 2019. Currently, Petros is enrolled at the University of Thessaly, where he has been deepening his expertise in Computer Science and Biomedical Informatics since 2020. His educational path has equipped him with extensive knowledge and skills in computational algorithms, data analysis, and advanced informatics, supporting his impactful research and publications.

Experience 🧑‍🏫

Since the onset of his academic pursuits, Petros Barmpas has engaged in various research initiatives, focusing on the practical application of AI and machine learning. His participation in the ATHLOS project exemplifies his commitment to large-scale data analysis and unsupervised learning. Throughout his time at the University of Thessaly and during collaborations with peers, he has demonstrated exceptional expertise in hierarchical clustering, ensemble regressors, and hyperdimensional computing approaches. Petros’ professional journey showcases a consistent dedication to solving complex computational problems and advancing methodologies in biomedical informatics.

Awards and Honors 🏆

Petros Barmpas has earned recognition through numerous high-impact publications in prestigious conferences and journals. His co-authored works in IEEE Congresses and journals like the Springer Journal Health Information Science and Systems underscore his influential presence in the research community. The breadth of his collaborative work reflects the trust and respect he commands among fellow researchers, showcasing his commitment to advancing scientific understanding in AI applications and public health data analysis.

Research Focus 🔍

Petros Barmpas’ research primarily explores innovative approaches to machine learning and data clustering. His interests lie in hyperdimensional computing, hierarchical clustering ensemble methods, and the development of predictive models for healthcare studies. He has applied these techniques to diverse areas, including opioid management during the pandemic and socio-demographic analysis in large-scale studies. Through collaborations and independent work, Petros has contributed to refining algorithms that enhance prediction power and adaptability, positioning his work at the intersection of AI and public health informatics.

Conclusion📝

Petros Barmpas is a distinguished researcher with significant accomplishments in computer science and biomedical informatics. His extensive publication record, innovative contributions to data clustering and health informatics, and strong collaborative efforts underscore his suitability for the Best Researcher Award. Addressing areas such as publishing in higher-impact journals and increasing international engagement could further augment his candidacy. Overall, his academic achievements, commitment to interdisciplinary research, and consistent output make him a deserving nominee for recognition.

Publications 📚

Conference Paper: Hyperdimensional Computing Approaches in Single Cell RNA Sequencing Classification
Year: 2024
Authors: Barmpas, P., Tasoulis, S.K., Georgakopoulos, S.V., Plagianakos, V.P.
Source: 2024 IEEE Congress on Evolutionary Computation, CEC 2024 – Proceedings

Conference Paper: HCER: Hierarchical Clustering-Ensemble Regressor
Year: 2024
Authors: Barmpas, P., Anagnostou, P., Tasoulis, S.K., Georgakopoulos, S.V., Plagianakos, V.P.
Source: Communications in Computer and Information Science, 2141 CCIS, pp. 369–378

Article (Open access): The Development and Validation of the Pandemic Medication-Assisted Treatment Questionnaire for the Assessment of Pandemic Crises Impact on Medication Management and Administration for Patients with Opioid Use Disorders
Year: 2023
Authors: Leventelis, C., Katsouli, A., Stavropoulos, V., Veskoukis, A.S., Tsironi, M.
Source: NAD Nordic Studies on Alcohol and Drugs, 40(1), pp. 76–94

Conference Paper: Neural Networks Voting for Projection Based Ensemble Classifiers
Year: 2023
Authors: Anagnostou, P., Barmpas, P., Tasoulis, S.K., Georgakopoulos, S.V., Plagianakos, V.P.
Source: Proceedings of the 2023 IEEE International Conference on Big Data, BigData 2023, pp. 4567–4574

Article (Open access): A Divisive Hierarchical Clustering Methodology for Enhancing the Ensemble Prediction Power in Large Scale Population Studies: The ATHLOS Project
Year: 2022
Authors: Barmpas, P., Tasoulis, S., Vrahatis, A.G., Plagianakos, V.P., Panagiotakos, D.
Source: Health Information Science and Systems, 10(1), 6

Assoc. Prof. Dr. Yongseok Son | Parallel and distributed systems | Best Researcher Award

Associate Professor at Chung-Ang University, South Korea

Yongseok Son is an Associate Professor at Chung-Ang University’s Department of Computer Science and Engineering and leads the Systems and Storage Laboratory. He earned a Ph.D. in Electrical Engineering and Computer Science from Seoul National University, with research focused on optimizing file systems for high-performance storage. Before his academic career, Dr. Son gained industry experience, including an internship at Sindoh R&D Center. Known for his expertise in system architecture, he previously held a postdoctoral position at the University of Illinois at Urbana-Champaign. As a skilled educator, he lectures on operating systems, distributed systems, and computer architecture. Dr. Son has contributed significantly to innovations in operating and storage systems, aiming to enhance modern computing performance and reliability. His dedication to the field has earned him recognition as a leading scholar and mentor.

Profile

Scopus

Orcid

Scholar

Education 🎓

Ph.D. in Electrical Engineering and Computer Science, Seoul National University, Feb 2018 — Dissertation on optimizing file systems for high-performance storage, advised by Heon Young Yeom. Postdoctoral Research Associate, University of Illinois at Urbana-Champaign (UIUC), Jan 2018 – Aug 2018 — Focused on advanced computer systems, under advisor Nam Sung Kim. M.S. in Intelligent Convergence Systems, Seoul National University, Aug 2012 — Specialized in priority boosting and load balancing for Android smartphones, advised by Seongsoo Hong. B.S. in Information and Computer Engineering, Ajou University, Aug 2010, graduating magna cum laude.

Experience 🧑‍🏫

Associate Professor, Department of Computer Science and Engineering, Chung-Ang University (Sep 2024 – Present). Assistant Professor, same department, Chung-Ang University (Sep 2018 – 2024).
Part-time Instructor in Operating Systems, Sookmyung Women’s University, Korea (Sep 2015 – Jan 2016). Internship at Sindoh R&D Center, working on Linux device driver development (Dec 2010 – Mar 2011).
Dr. Son has led courses in operating systems, distributed systems, and computer architecture. His teaching and professional roles emphasize practical and innovative computing solutions.

Awards and Honors 🏆

Magna Cum Laude upon graduation with a B.S. from Ajou University. Received accolades for contributing to advancements in computing systems. Recognition for excellence in postdoctoral research at the University of Illinois at Urbana-Champaign. Prestigious internships and impactful collaborations throughout his career. Acknowledged for mentoring students and promoting academic excellence in the field of computer engineering. Awards for significant contributions to research on file systems and emerging technologies.

Research Focus 🔍

Dr. Son specializes in enhancing operating systems and storage solutions for modern hardware. His research includes designing Linux task schedulers, improving I/O subsystems, and optimizing page cache and memory subsystems. Focused on parallel and distributed systems, he works on lock-free data structures and efficient load balancing. Dedicated to developing advanced file systems for distributed and parallel environments. His work also encompasses improving database storage engines, aligning with new hardware capabilities. Dr. Son’s research bridges theoretical insights and practical applications, striving for performance and scalability in computing systems.

Conclusion

Associate Professor Yongseok Son’s dedication to advancing the fields of operating systems, file storage systems, and distributed computing through his research, teaching, and leadership makes him a strong candidate for the Best Researcher Award. His contributions to optimizing computing performance for emerging hardware reflect a high level of expertise and commitment. By enhancing international collaborations and securing larger-scale funding, he could further elevate his research profile and broaden the impact of his work on a global scale.

Publications 📚

Title: Sequentialized Virtual File System: A Virtual File System Enabling Address Sequentialization for Flash-Based Solid State Drives
Year: 2024
Authors: Inhwi Hwang, Sunggon Kim, Hyeonsang Eom, Yongseok Son

Title: Comprehensive survey of sensor data verification in internet of things
Year: 2023
Authors: LA Nguyen, PT Kiet, S Lee, H Yeo, Y Son

Title: An efficient and parallel file defragmentation scheme for flash-based SSDs
Year: 2022
Authors: G Zhu, J Lee, Y Son

Title: FlexGPU: A flexible and efficient scheduler for GPU sharing systems
Year: 2020
Authors: Q Chen, H Lee, HY Yeom, Y Son

Title: z-READ: Towards Efficient and Transparent Zero-Copy Read
Year: 2019
Authors: J Park, C Min, HY Yeom, Y Son

Title: A low-latency storage stack for fast storage devices
Year: 2017
Authors: Y Son, NY Song, HY Yeom, H Han

Title: A2FL: autonomous and adaptive file layout in HPC through real-time access pattern analysis
Year: 2024
Authors: DK Sung, Y Son, A Sim, K Wu, S Byna, H Tang, H Eom, C Kim, S Kim

Title: ScaleCache: A Scalable Page Cache for Multiple Solid-State Drives
Year: 2024
Authors: KT Pham, S Cho, S Lee, LA Nguyen, H Yeo, I Jeong, S Lee, NS Kim

Title: UAV-Satellite Integration for Communication System: Potential Applications and Key Challenges
Year: 2023
Authors: QT Do, AT Tran, DS Lakew, H Kim, Y Son, HT Lee, J Paek, S Cho

Petros Barmpas | Statistical Analysis | Best Researcher Award

Mr. Petros Barmpas | Statistical Analysis | Best Researcher Award

Mr at University of The, Greece