Congratulations, Mr Young Kwon, on winning the esteemed Young Scientist Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!
Mr Young Kwon, a distinguished academic and researcher in the field of renewable energy, University of Cambridge, United Kingdom. His academic journey has been marked by a profound dedication to advancing Web Analytics and Metrics, specifically in Lifelong learning and ubiquitous computing into Social Media and Digital Marketing applications.
🎓 Education
- Ph.D. in Computer Science at the University of Cambridge (Advisor: Prof. Cecilia Mascolo) – Expected 2024
- M.Phil. in Computer Science and Engineering at HKUST – 2020
- B.Sc. in Semiconductor Systems Engineering at SungKyunKwan University – 2016
📚 Publications (Selected)
- LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms (SenSys 2023)
- YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers (IPSN 2022)
- FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications (INTERSPEECH 2021, Best Paper Award)
🔬 Research Experiences
- Samsung AI Center – Cambridge, UK (Research Intern) – Apr. 2022 – Apr. 2023
- DNN Training on Extremely Resource-Constrained Platforms
- Efficient DNN Personalization via Meta-Learning Early Exits
- University of Cambridge (Computer Laboratory) (Machine Learning Developer) – Jul. – Dec. 2019 & Jul. – Sep. 2020
- A Comprehensive Study of Lifelong Learning on Sensing-based Tasks
- Continual Learning in Resource-Constrained Systems for User Authentication
🏆 Awards
- Best Paper Award, The Sixth ACM/IEEE Symposium of Edge Computing (SEC ’21) – 2021
- Nokia Bell Labs Studentship – 2020-2023
- Valedictorian, College of Information and Communication Engineering at SKKU – 2016
💼 Professional Experiences
- Samsung AI Center – Cambridge, UK (Researcher) – Sep. 2023 – Present
- Optimizing on-device machine learning systems for memory and energy efficiency
- Samsung Electronics Co., Ltd., Memory Business (Engineer) – Jul. 2016 – Aug. 2017
- Research project to save wasted DRAM chips and data analysis for defect identification
👨🏫 Teaching Experiences
- Mentored and served as a Teaching Assistant for various computer science courses
🎙️ Invited Talks
- Deep Learning at the Extreme Edge (Cambridge Korea Academic Society) – Mar. 2023
- On-device Continual Learning in Mobile Sensing Applications (University of Cambridge) – Aug. 2021
🏅 Honors & Awards
- Best Paper Honorable Mention, KIISE conference 2016
- Best Paper Honorable Mention, KIISE conference 2015
- SEC Travel Grant, Awarded US$1,100 for attending SEC 2021
🔍 Skills & Others
- Programming: C/C++, Python, R, JAVA, HTML, CSS, Javascript, Excel VBA
- Tools: PyTorch, TensorFlow, Git
- Languages: Fluent in Korean and English (TOEFL 110/120 in July 2020)
🌟 Extra Activities
- Silver and bronze medals in rowing competitions
- Completed a 21.1km marathon
🤝 References
🌐 Profile Links: