谭北海(副教授、硕士生导师)
主要从事智能信息处理、深度学习、AI算法及芯片设计等研究。主持过国家自然科学基金、广东省重大科技专项等,在Neurocomputing,Signal Processing: Image Communication,IEEE Transactions on Neural Networks and Learning Systems,《中国科学》等期刊上发表论文50余篇,申请专利35项,授权15项。广东工业大学优秀教师、广东工业大学优秀研究生导师、广东省优秀创新创业导师,指导学生参加国家级或省级竞赛获奖十余项。
夏益民(副教授、硕士生导师)
主要从事AI算法与集成电路EDA设计、移动机器人导航芯片与算法等研究,参与国产芯片应用生态建设。主持国家级、省部级、校级教改项目二十项,参与省部级科研项目多项。广东工业大学优秀教师,指导学生获全国大学生集成电路创新创业大赛国赛一等奖、集成电路EDA设计精英挑战赛国赛一等奖等多个奖项,发表相关论文、专利近三十项。
于飞(副教授、硕士生导师)
主要从事半导体器件紧凑建模、模拟集成电路设计、半导体器件AI辅助建模等研究。主持国家自然科学基金面上项目、青年项目,福建省科技计划项目等科研项目十余项。目前,在IEEE EDL,IEEE TED,Energy,Renewable Energy等SCI期刊发表论文30多篇。
詹瑞典(工程师)
研究领域:AI算法及芯片设计、安全芯片设计。
2021、2024年获广东省科技进步二等奖。
Ø 主要研究方向
1.AI-EDA
2.数字安全芯片设计
3.EDA软件开发与系统集成
4.半导体器件AI辅助建模
Ø 代表性科研项目
1.车规级关键系统基础芯片研发与应用. 广东省重点领域研发计划“芯片设计与制造”战略专项. 2022.12-2025.12.
2.视觉与激光融合定位与导航(SLAM)的移动机器人核心芯片的研发与产业化.粤港澳联合创新项目.2021.01-2022.12.
3.基于运动控制和室内导航的人工智能SOC核心应用芯片设计及其产业化,广东省应用型科技研发专项.2017.01-2021.12.
4.基于802.11ah的远距离物联网WIFI芯片研发与产业化.珠海市重点领域研发计划项目.2022.01-2023.12.
5.面向IC设计EDA工具的AlGaN/GaN HEMTs物理基紧凑模型研究. 国家自然科学基金面上项目.2024.1-2027.12
Ø 代表性论文
[1]H Yan, Y Wang, P Gao, F Yu, Y Ma, X Xiong and S Cai. “A Lightweight Heterogeneous Graph Embedding Framework for Hotspot Detection”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD),2025.
[2]Z Lin, H Zhang, P Gao, F Yu, T Wu, X Xiong and S Cai. “GNN-Based Timing Prediction in Pre-Routing Stage with Multi-Task Learning Strategy”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD),2025.
[3] Y. Xie, Y. Liu, X. Zheng, Bohan Lan, Dengyun Lei, Dehao Xiang, Shuting Cai, and Xiaoming Xiong, “FLALM: A Flexible Low Area-Latency Montgomery Modular Multiplication on FPGA”, IEEE Transactions on Computers 74, no. 1 (2025): 29–42.
[4] Lin, WX ; Wu, HJ ; Gao, P; Luo, WJ; Cai, ST; Xiong, XM, “Sequential Routing-based Time-division Multiplexing Optimization for Multi-FPGA Systems”, ACM Transactions on Design Automation of Electronic Systems(TODAES), vol.28, no.6, 2023.
[5] Xian, JM; Xing Y; Cai ST; Li WJ; Xiong XM; Hu ZF, “WCPNet: Jointly Predicting Wirelength, Congestion and Power for FPGA Using Multi-Task Learning”, ACM Transactions on Design Automation of Electronic Systems(TODAES), vol.29, no.3, 2024.
[6] Lin J, et al. “An Efficient Method of DRC Violation Prediction with a Serial Deep Learning Model”, ACM Transactions on Design Automation of Electronic Systems (TODAES), 2024, 29(6): 1-16.
[7] Ying Wang, Haopeng Yan, Yiwen Zhang, Peng Gao, Fei Yu, Xiaoming Xiong, and Shuting Cai. “PSCaps: High-Performance Pose-Sensitive Layout Hotspot Detector based on CapsNet”. ACM Transactions on Design Automation of Electronic Systems (TODAES), 30, 4, Article 58 (July 2025).
[8] Wenhao Liu, Yan Xing, Shuting Cai, Weijun Li, and Xiaoming Xiong. “Optimizing FPGA Routing with Explainable Co-Learning of Congestion and Wirelength”. ACM Transactions on Design Automation of Electronic Systems (TODAES), 30, 3, Article 50 (May 2025).
[9] Jingui Lin, Shiyan Liang, Wenxiong Lin, Peng Gao, Yan Xing, Tingting Wu, Xiaoming Xiong, and Shuting Cai. “Early Stage DRC Hotspot Prediction for Mixed-Size Designs Through an Efficient Graph-Based Deep Learning”. ACM Transactions on Design Automation of Electronic Systems (TODAES), 30, 4, Article 55 (July 2025).
[10] Lin, X., Liu, H., Zheng, X., Gao, H., Cai, S., & Xiong, X. FPUx: High-Performance Floating-Point Support for Cost-Constrained RISC-V Cores. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2024,32(10), 1945-1949.
[11] Zheng, X., Cheng, M., Chen, J., Gao, H., Xiong, X., & Cai, S. BSSE: Design Space Exploration on the BOOM With Semi-Supervised Learning. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2024,32(5), 860-869.
[12] Cheng, M. et al. Efficient Design Space Exploration for the BOOM Using SAC-Based Reinforcement Learning,IEEE Transactions on Very Large Scale Integration (VLSI) Systems,2025
[13] Fei Yu,Zhaoxu Song, Kun Fang, Ying Liang, Gongyi Huang, Chuanzhong Xu, Jiahui Liu, “An undefinedytical Drain Current Model of ZnO-Based Amorphous Oxide Semiconductor Thin-Film Transistors”, IEEE Transactions on Electron Devices, vol.69,2022.
[14] Chuanzhong Xu, Xiaofang Sun, Ying Liang, Gongyi Huang, Fei Yu ,“An Analytical Effective-Diode-Based Analysis of Industrial Solar Cells From Three-Diode Lumped-Parameter Model”,IEEE Transactions on Electron Devices 68,2753-2758(2021)