Yongseok Son | Parallel and distributed systems | Best Researcher Award

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

 

 

Valentina Franzoni | Complex networks | Best Researcher Award

Prof. Valentina Franzoni | Complex networks | Best Researcher Award

professor at University of Perugia, Italy

Dr. Valentina Franzoni is a tenure-track professor at the University of Perugia, specializing in Artificial Intelligence, Affective Computing, and Human-Computer Interaction. With a PhD in Computer Engineering from La Sapienza University of Rome, she leads research in Affective Computing and Ethics for AI, contributing to multidisciplinary projects and initiatives such as the EmoRe team and KITlab. She also teaches at Hong Kong Baptist University and collaborates with Gumilyov Eurasian University. An accomplished researcher with 72 publications and over 979 citations, Dr. Franzoni is a keynote speaker, organizer of international conferences, and a senior IEEE member with a strong interdisciplinary background in psychology, philosophy, and ethics.

Publication profile

Education and Specializations

Ph.D. in Computer Engineering (La Sapienza University of Rome, Italy) Thesis: “A Unifying Approach to Semantic and Topological Similarity in Information Networks” Supervisors: Marco Schaerf, Daniele Nardi. Master’s Degree in Computer Science (University of Perugia, Italy, with honors, 110/110 cum laude) Thesis: “Semantic Proximity Measures for the Web”. Bachelor’s Degree in Computer Science (University of Perugia, Italy) Thesis: “Web Usability on the Nintendo Wii Platform”. Liberal Studies Diploma (Liceo Classico “Annibale Mariotti”, Perugia, Italy)

Professional Experience

Tenure-Track Professor (University of Perugia, Italy) Courses: Artificial Intelligence, Affective Computing, Human-Computer Interaction. Responsibilities: Leads research on Affective Computing and Ethics for AI (EmoRe), coordinates data analysis in multidisciplinary projects, involved in communication and outreach, and setting up a university spin-off in AI and Affective Computing.. Lecturer (Hong Kong Baptist University, Hong Kong) Courses: E-Business Technology, Electronic Transformation in Business Agreement Duration: 2021-2024 External Teacher and Consultant (Gumilyov Eurasian University, Kazakhstan) Roles: Advisor to Ph.D. candidates Coordinator and Senior Visiting Research Assistant (Hong Kong Baptist University, Hong Kong) Roles: Coordinator of HKBU-Unipg summer exchange programme (2012-2017), Senior Visiting Research Assistant (2012, 2016)

Research and Grants

Current Projects: Work Package Coordinator for the “1.1 Organoids” project on data analysis and bioinformatics.. Leader of Affective Computing and Emotion Recognition research group at University of Perugia.. Past Grants:. Funding for e-learning research (PRIN “PHRAME” project) Scholarships for various international conferences and summer schools. Research grants for projects on e-learning and semantic annotation

Academic and Professional Activities

Conferences and Workshops: Organizer and keynote speaker at various events related to AI, affective computing, and ethics. Publications: Articles: 72 indexed in international journals and conference proceedings Book Chapters: 2 scientific, 1 educational Citations: Over 979; H-index: 20 (Scopus, July 2024) Editorial and Review Roles: Guest editor, reviewer for scientific journals, senior IEEE member

Educational and Training Activities

Courses: Attended various summer schools and training in Open Science, Reasoning Web, Mathematics, and more.. Additional Education: Courses in theology, philosophy, and psychology from Theological Institute of Assisi and University of Perugia.

Graduate and PhD Thesis Supervision 🎓

Zhanerke Musekenova: Intelligent document management system (2020). Gaukhar Baltabayeva: Intelligent video surveillance system (2020). Giulio Biondi: Meta-Correlations for Link Prediction (2021). Andrea Migni: Intelligent search on didactic-scientific repositories (May 2019). Giulio Biondi: Semantic and topological proximity in link prediction (April 2017). Gianluca Curto: Randomized Walk Generation Strategies for Recommendation Systems (July 2016). Paolo Mengoni: Semantic Proximity Measures in Collaborative Networks (February 2014). Marco Mencacci: Randomized Paths in Collaborative Networks (February 2014). Fabrizio Piccinato: Visual Interfaces for E-learning Platforms (May 2014). Fabiana Zollo: Automated Classification on the book social network Zazie (May 2013). Sabrina Manni: Information Security in Cloud Computing (May 2013)

Awards and Acknowledgements 🏆

  • Best Paper Award
    • Title: “Semantic Similarity Measures for Topological Link Prediction”
    • Event: International Conference of Computer Science and Its Applications (ICCSA)
    • Date: July 1-4, 2020
    • Location: Cagliari, Italy
  • Leadership Certificate
    • Event: 19th International Conference on Computational Science and Applications (ICCSA) and associated workshops (ACER-EMORE and IWCES)
    • Date: July 1-5, 2019
    • Location: Saint Petersburg, Russia
    • Recognition: Outstanding contribution
  • Certificate for Workshop Organizers
    • Event: Affective Computing and Emotion Recognition (ACER)
    • Affiliation: IEEE/WIC/ACM WI 2017
    • Date: 2017
    • Location: Leipzig University
  • Leadership Certificate
    • Event: 17th International Conference on Computational Science and Applications (ICCSA) and associated workshops (EMORE and IWCES)
    • Date: July 3-6, 2017
    • Location: Trieste, Italy
    • Recognition: Outstanding contribution
  • Award for Excellent Contribution
    • Recognition: 5-years coordination of the HKBU-UNIPG International Exchange Programme
    • Date: 2016
    • Affiliation: University of Perugia and Hong Kong Baptist University
  • FSE Awards 2014, III Prize
    • Category: Young researchers and mobility
    • Project: Por Umbria FSE “iLearn: usability metrics and developing protocols for e-learning on innovative mobile devices”
    • Region: Umbria
  • Award for Outstanding Coordination
    • Event: HKBU-UNIPG International Exchange Programme
    • Date: 2014
    • Affiliation: University of Perugia and Hong Kong Baptist University
  • Award for Outstanding Coordination
    • Event: HKBU-UNIPG International Exchange Programme
    • Date: 2013
    • Affiliation: University of Perugia and Hong Kong Baptist University

 

Publication

  1. A deep learning semantic approach to emotion recognition using the IBM Watson Bluemix Alchemy language
    Journal: Computational Science and Its Applications – ICCSA 2017: 17th International
    Year: 2017
    Citations: 51
    Contributors: G Biondi, V Franzoni, V Poggioni

 

  1. Context-based image semantic similarity
    Conference: 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery
    Year: 2015
    Citations: 48
    Contributors: V Franzoni, A Milani, S Pallottelli, CHC Leung, Y Li

 

  1. Web-based similarity for emotion recognition in web objects
    Conference: Proceedings of the 9th International Conference on Utility and Cloud
    Year: 2016
    Citations: 47
    Contributors: G Biondi, V Franzoni, Y Li, A Milani

 

  1. PMING distance: a collaborative semantic proximity measure
    Conference: 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and
    Year: 2012
    Citations: 47
    Contributors: V Franzoni, A Milani

 

  1. Artificial Intelligence Visual Metaphors in E-Learning Interfaces for Learning Analytics
    Journal: Applied Sciences
    Year: 2020
    Citations: 44
    Contributors: V Franzoni, A Milani, P Mengoni, F Piccinato
  1. Semantic context extraction from collaborative networks
    Conference: Computer Supported Cooperative Work in Design (CSCWD), 2015 IEEE 19th
    Year: 2015
    Citations: 31
    Contributors: V Franzoni, A Milani

 

  1. Multi-path traces in semantic graphs for latent knowledge elicitation
    Conference: Natural Computation (ICNC), 2015 11th International Conference
    Year: 2015
    Citations: 28
    Contributors: V Franzoni, A Milani, S Pallottelli

 

  1. Semantic Heuristic Search in Collaborative Networks: Measures and Contexts
    Conference: 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI)
    Year: 2014
    Citations: 28
    Contributors: Franzoni V., Mencacci M., Mengoni P., Milani A.

 

  1. Heuristics for semantic path search in Wikipedia
    Conference: International Conference on Computational Science and Its Applications
    Year: 2014
    Citations: 27
    Contributors: V Franzoni, M Mencacci, P Mengoni, A Milani

Conclusion 📝

The candidate demonstrates outstanding qualifications for the Best Researcher Award, with a distinguished educational background, extensive professional experience, and a significant record of research achievements. Their leadership in research and contributions to the academic community are commendable. To further strengthen their profile, focusing on expanding their research scope, increasing collaborations, and enhancing public outreach would be beneficial. Overall, their accomplishments and ongoing contributions position them as a leading candidate for the award.