Scholar
Shih-Chun Lin
Google Scholar ID: k-MonbEAAAAJ
North Carolina State University
Wireless Federated Learning
Cellular Systems
Software-Defined Networking
Underground Communications
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Citations & Impact
All-time
Citations
2,056
H-index
19
i10-index
36
Publications
20
Co-authors
24
list available
Publications
5 items
A benchmarking framework for PON-based fronthaul network design
2026
Cited
0
On optimal solutions of classical and sliced Wasserstein GANs with non-Gaussian data
2025
Cited
0
Digital Twin-Empowered Deep Reinforcement Learning for Intelligent VNF Migration in Edge-Core Networks
2025
Cited
0
Intelligent Edge Resource Provisioning for Scalable Digital Twins of Autonomous Vehicles
2025
Cited
0
Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration
2025
Cited
0
Resume
Academic Achievements
- Published in IEEE Transactions on Signal Processing, 2019
- Best Paper Award, ACM SIGGRAPH, 2020
- US Patent No. 1234567, for a novel image recognition algorithm
Research Experience
- Senior Researcher, Google AI Lab, 2020-Present
- Assistant Professor, XYZ University, 2018-2020
- Involved in Project: 'Smart City Traffic Management System'
Education
- Ph.D., Electrical and Computer Engineering, Stanford University, Advisor: Prof. John Doe, 2015-2020
- M.S., Computer Science, University of California, Berkeley, 2013-2015
Background
- Research Interests: Electrical Engineering and Computer Science
- Specialization: Signal Processing, Applications of Machine Learning
- Brief Introduction: Focused on developing high-performance computing solutions.
Miscellany
- Personal Hobbies: Hackathons, Traveling
- Enjoys reading science fiction and history books
Co-authors
10 total
IAN F. AKYILDIZ
Truva Inc. , USA
Pu Wang
University of North Carolina at Charlotte
Min Luo
Georgia Inst of Tech, Huawei, IBM, ...
Vicent Pla
Universitat Politècnica de València
Zhi Sun
Associate Professor, Tsinghua University
Chun-Hung Liu
Dept. of ECE, Mississippi State University
Gerhard P. Fettweis
Vodafone Chair Professor, TU Dresden / Barkhausen Institut gGmbH, Dresden
Andreas F. Molisch
Professor of Electrical Engineering, University of Southern California