個人主頁：
//est.lhcresult.net/ShowPeople.aspx?info_lb=395&flag=119&info_id=1159
教育經歷：
2006年3月畢業于同濟大學計算機系獲博士學位，師從我國神經計算和信號處理領域專家曹立明教授，進行了多年的智能信號分析與算法、腦認知理論與方法研究。
研究領域：
機器學習、神經網絡計算、智能算法設計、信號分析與處理、腦認知理論與方法，目前在同濟大學“嵌入式系統985二期平臺”下設的腦認知與數字影像實驗室從事腦成像信號處理的相關研究工作。
作為課程負責人，主講的《電工學》課程2018年被評為國家精品在線開放課程。
主持科研項目：
嵌入式系統與服務計算教育部重點實驗室開放課題：基于事件相關電位分析的“黃燈加速”現象研究
參與科研項目：
[1] 國家自然科學基金：面向位置服務的動態阻滯網絡流模型及算法研究
[2] 國家自然科學基金：分布式計算環境下基于進化論的認知模型及其應用研究
指導創新課題：
上海市級大學生創新計劃：基于腦電信號分析的小車運行多維度控制，2016.
代表性論著：
[1] Gu Rong, Yang Yusi, Cai Zhuohao. Research on cross-sensory information enhancement e?ect based on the analysis of multi-mode brain imaging. Photonics & Electromagnetics Research Symposium, 17-20 December 2019: 2114-2119.
[2] Gu Rong, Zhang Jie, Wang Shicong, Tong Meisong. The impact analysis of disturbance stimulation on sustained attention based on EEG. Progress in Electromagnetic Research Symposium, 8-11 August 2016: 3676-3680.
[3] Gu Rong, Zhang Jie, Zhou Junhe, Tong Meisong. The Baroque music’s influence on learning efficiency based on the research of eye movement. IEEE International Conference on Teaching, Assessment and Learning for Engineering, Wellington, New Zealand, 8-10 December 2014: 511-515.
[4] Gu Rong, Zhang Jie, Zhou Junhe, Tong Meisong. The Baroque music’s influence on learning efficiency based on the research of brain cognition. Progress in Electromagnetics Research Symposium, 25-28 August 2014: 1527-1531.
[5] Gu Rong, Wang Jingjing, Li Jie. The influence of the Baroque music on learning efficiency from the perspective of EEG analysis. Proceedings of the First International Symposium on Pedagogical research, 14-15 November 2013.
[6] Gu Rong, Li Jie. Study on the optimum state for classroom learning from brain cognition perspective - Research on relaxed alertness. Journal of Convergence Information Technology, 2012, 7(23): 564-571.
[7] Gu Rong, Zhang Hongyun, The Application of improved immunogenetic algorithm in signal timing. International Joint Conference on Bioinformatics. Systems Biology and Intelligent Computing, 3-5 August 2009: 612-615.
[8] 顧榕, 童美松. 電工學原理. 電子工業出版社, 2014.
