🎓 Academic Qualifications
- Ph.D. in Mathematics and Computer Science, Fuzhou University, China
Sep. 2009 – Mar. 2015
- B.S. in Mathematics and Computer Science, Fuzhou University, China
Sep. 2005 – Jul. 2009
👨‍🏫 Academic Positions
- Full Professor, College of Computer and Data Science, Fuzhou University
Sep. 2023 – present
- Associate Professor, College of Computer and Data Science, Fuzhou University
May. 2021 – Sep. 2023
- Associate Professor, College of Mathematics and Computer Science, Fuzhou University
Jul. 2018 – May. 2021
- Lecturer, College of Mathematics and Computer Science, Fuzhou University
Jul. 2015 – Jul. 2018
🏅 Honors & Recognitions
- Fujian Outstanding Young Scholars
- Fujian High Level Talents (C-Level)
đź“š Selected Publications
- Fault-Tolerance-Oriented Physical Design for Fully Programmable Valve Array Biochips
G. G. Liu, Y. H. Zhu, W. Z. Guo, and X. Huang
Proceedings of ACM/IEEE Design Automation Conference (DAC), 2023, pp. 1-6.
- Control-Logic Synthesis of Fully Programmable Valve Array Using Reinforcement Learning
X. Huang, H. Y. Cai, W. Z. Guo, G. G. Liu, T.-Y. Ho, K. Chakrabarty, and U. Schlichtmann
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 43, no. 1, pp. 277-290, 2024.
- Design Automation for Continuous-Flow Microfluidic Biochips: A Comprehensive Review
G. G. Liu, H. B. Huang, Z. S. Chen, H. X. Lin, H. Liu, X. Huang, and W. Z. Guo
Integration-the VLSI Journal (INTEGRATION), vol. 82, pp. 48-66, 2022.
- Adaptive Control-Logic Routing Flow for Fully Programmable Valve Array Using Deep Reinforcement Learning
H. Y. Cai, G. G. Liu*, W. Z. Guo, Z. P. Li, T.-Y. Ho, and X. Huang
Asia and South Pacific Design Automation Conference (ASP-DAC), 2024, pp. 564-569.
- Towards Automated Testing of Multiplexers in Fully Programmable Valve Array Biochips
G. G. Liu, Y. Q. Zeng, Y. H. Zhu, H. Y. Cai, W. Z. Guo, Z. P. Li, T.-Y. Ho, and X. Huang
Dr. Genggeng Liu is a prominent figure in the field of computer and data science, particularly known for his contributions to the design and automation of microfluidic biochips. His work has significantly advanced fault-tolerant design and control-logic synthesis, employing cutting-edge techniques such as reinforcement learning. Dr. Liu’s research has been recognized through prestigious publications and numerous awards, underscoring his impact on the academic and scientific community.