姓名：杨润涛
职称：讲师
学位：博士
毕业院校：山东大学
所学专业：控制工程与控制理论



研究方向

机器学习/模式识别、深度学习、生物信息学、智能机器人

教育经历

山东大学：控制科学与工程学院控制理论与控制工程博士学位(硕博连读) 2011.9-2016.12
山东大学（威海）：机电与信息工程学院自动化工学学士学位2007.9-2011.7

开课情况
本科生课程：智能控制、误差理论与数据处理、人形机器人设计与制作、数学建模
研究生课程：神经网络与遗传算法、机器视觉
指导学生情况
本科生毕业设计：2018年10人，2019年10人
本科生生产实习：2014级自动化，2016级自动化
本科生导师：2018级自动化6人
指导学生连续两届参加山东省智能控制大赛，一等奖2项，二等奖2项，三等奖6项，并获优秀指导教师。

获奖情况

2017年IEEE International Conference on Information and Automation最佳会议论文奖
2015年IEEE加拿大电子与计算工程大会最佳论文奖提名
2013年第十届“华为杯”全国研究生数学建模竞赛二等奖（第一位）
2012年第九届“华为杯”全国研究生数学建模竞赛二等奖（第一位）

科研项目

1. 中国博士后科学基金面上项目，2017M612270，基于机器学习的蛋白质相互作用及其作用位点预测研究，2017/03-2019/03，主持
2. 山东自然科学基金培养基金，ZR2017PF008，基于大数据挖掘技术的蛋白质亚细胞位置预测研究，2017/07-2018/12，主持
3. 企业横向，信安系统移动平台建设，2019/06-2020/03，主持
4. 国家自然科学基金面上项目，**，群机器人自组织行为涌现机理及其演化规律研究，2016/01-2019/12，参与
5. 国家自然科学基金面上项目，**，分子生物学代谢过程多模型建模及非线性分析，2015/01-2018/12，参与

发表文章

[1] Jingui Chen, Runtao Yang*, Chengjin Zhang, et al. DeepGly: A Deep Learning Framework with Recurrent and Convolutional Neural Networks to Identify Protein Glycation Sites from Imbalanced Data. IEEE Access, 2019, 7: 142368-142378.
[2] Runtao Yang, Chengjin Zhang*, Rui Gao, et al. Predicting FAD Interacting Residues with Feature Selection and Comprehensive Sequence Descriptors. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018.
[3] Runtao Yang, Chengjin Zhang*, Lina Zhang, et al. A Two-Step Feature Selection Method to Predict Cancerlectins by Multiview Features and Synthetic Minority Oversampling Technique. Biomed Research International, 2018, 2018(**): 1-10.
[4] Lina Zhang, Runtao Yang*, Chengjin Zhang, et al. Using a Classifier Fusion Strategy to Identify Antiangiogenic Peptides. Scientific Reports, 2018, 8: 14062.
[5] Runtao Yang, Chengjin Zhang*, Rui Gao, et al. A Novel Feature Extraction Method with Feature Selection to Identify Golgi-resident Protein Types from Imbalanced Data. International Journal of Molecular Sciences, 2016, 17(2): 218.
[6] Runtao Yang, Chengjin Zhang*, Rui Gao, et al. An Effective Antifreeze Protein Predictor with Ensemble Classifiers and Comprehensive Sequence Descriptors. International Journal of Molecular Sciences, 2015, 16(9): 21191-21214.
[7] Runtao Yang, Chengjin Zhang*, Rui Gao*, et al. An Ensemble Method with Hybrid Features to Identify Extracellular Matrix Proteins. PLoS One, 2015, 10(2): e**.
[8] Runtao Yang, Chengjin Zhang*, Lina Zhang. PSSM-PROREP: A Flexible Web Server for Generating Various Position Specific Score Matrix-derived Protein Representations. IEEE International Conference on Information and Automation, 2018.
[9] Runtao Yang, Chengjin Zhang*, Rui Gao. A New Bionic Method Inspired by DNA Computation to Solve the Hamiltonian Path Problem. IEEE International Conference on Information and Automation, 2017.
[10] Runtao Yang, Rui Gao, Chengjin Zhang*. A New Algebraic Approach to Finding All Simple Paths and Cycles in Undirected Graphs. IEEE International Conference on Information and Automation, 2015.
[11] Runtao Yang, Chengjin Zhang*, Rui Gao, et al. A Machine Learning Approach to Identify DNA Replication Proteins From Sequence-derived Features. IEEE Canadian Conference on Electrical and Computer Engineering, 2015.
[12] Runtao Yang, Rui Gao*, Chengjin Zhang. A Mathematical Model and the Functional Relationship of Three-base Codons in the Complex Plane. Chinese Control Conference, 2012.
[13]Lina Zhang, Chengjin Zhang*, Rui Gao, Runtao Yang. An Ensemble Method to Distinguish Bacteriophage Virion From Non-virion Proteins Based on Protein Sequence Characteristics, International Journal of Molecular Sciences, 2015, 16(9): 21734-21758.
[14]Lina Zhang, Chengjin Zhang*, Rui Gao, Runtao Yang. JPPRED: Prediction of Types of J-proteins From Imbalanced Data Using an Ensemble Learning Method, BioMed Research International, 2015, 2015(2): 705156.
[15]Lina Zhang, Chengjin Zhang*, Rui Gao, Runtao Yang. Using the SMOTE Technique and Hybrid Features to Predict the Types of Ion Channel-targeted Conotoxins, Journal of Theoretical Biology, 2016, 403: 75-84.
[16]Lina Zhang, Chengjin Zhang*, Rui Gao, Runtao Yang, Prediction of Aptamer-protein Interacting Pairs Using an Ensemble Classifier in Combination with Various Protein Sequence Attributes, BMC Bioinformatics, 2016, 17(1): 225.
[17]Lina Zhang, Chengjin Zhang*, Rui Gao, Runtao Yang, Sequence Based Prediction of Antioxidant Proteins Using a Classifier Selection Strategy, PLoS One, 2016, 11(9): e**.
[18]Lina Zhang, Chengjin Zhang*, Rui Gao, Runtao Yang. Incorporating g-gap Dipeptide Composition and Position Specific Scoring Matrix for Identifying Antioxidant Proteins, The 28th Canadian Conference on Electrical and Computer Engineering, Halifax, Canada, 2015.5.3-5.6.

参与会议

(1) 2012.6.6-2012.6.8 参加IEEE InternationalConference on Automation and Logistics；
(2)2012.7.24-2012.7.26 参加第31届中国控制会议并做分会场报告，报告题目：A mathematical model andthe functional relationship of three-base codons in the complex plane；
(3)2013.8.26-2013.8.28 参加IEEE InternationalConference on Information and Automation；
(4) 2013.12.12-2013.12.14 参加IEEE InternationalConference on Robotics and Biomimetics；
(5) 2015.5.3-2015.5.6 赴加拿大参加IEEE 28th Canadian Conferenceon Electrical and Computer Engineering并做分会场报告，报告题目：A machine learning approach toidentify DNA replication proteins from sequence-derived features.

电子邮箱

runtao-sd@163.com