AEC 304
Website
Education
- Ph.D. The University of Texas at Austin
Teaching Interests
- Computer Architecture
- Deep Learning
- Digital Systems Design
- Computer Arithmetic
- Logic Circuits
Research Interests
- Computer Architecture
- Deep-learning Architecture and Acceleration
- AI Computing
- Application-specific Processors
- Cyber Security
- Workload Characterization
- Performance Modeling
- Low Power Design
- FPGA Prototyping
Recent Publications
Books and Book Chapters
- Byeong Kil Lee, Realizing Complex Integrated Systems, 1st Edition CRC Press – a book chapter, Part 3 System Analysis – Chapter 17 Performance Evaluation, 2025
- Charles H. Roth, Lizy Kurian John and Byeong Kil Lee, Digital Systems Design using Verilog, Publishing company: Cengage Learning, 2015
Journal Articles
- Jerry Malone and Byeong Kil Lee, “Performance and Computational Efficiency of LMS Adaptive Volterra Equalizers for Nonlinear TWTA Distortion in Satellite Communications,” in IEEE Access, vol. 12, pp. 149740-149759, 2024
- Shafayat Anik, Kevyn Kelso, B. Lee, “Efficient Layer Optimizations for Deep Neural Networks,” International Journal of Soft Computing and Engineering, 2024
- Lily Young, James Richardson York, and Byeong Kil Lee, “Implications of Deep Compression with Complex Neural Networks,” International Journal of Soft Computing and Engineering (IJSCE), vol. 13, Issue 3, pp.1-6, July 2023
- Jordan Pattee, Shafayat Anik, and Byeong Kil Lee, “Performance Monitoring Counter based Intelligent Malware Detection and Design Alternatives,” IEEE Access, 2022.
- Byeong Kil Lee, “Workload Pruning for Effective Architecture Exploration,” International Journal of Soft Computing and Engineering (IJSCE), vol.8, Issue 6, March 2019