一、主要学术论文

[1] Junpeng Zhang, Taosheng Xu , Lin Liu, Wu Zhang, Chunwen Zhao, Sijing Li, Jiuyong Li, Nini Rao, Thuc Duy Le. LMSM: A modular approach for identifying lncRNA related miRNA sponge modules in breast cancer. PLoS Computational Biology, 16(4):e1007851.

[2] Guangbin Wang, Nini Rao, Junpeng Zhang, Wei Zeng, Fengbiao Guo, Ke Liu. miRReg: A Framework for Studying miRNA Regulation in Tetralogy of Fallot. IEEE Access, 8: 103454 - 103461.

[3] Wenju Du, Nini Rao, Dingyun Liu, Hongxiu Jiang, Chengsi Luo, Zhengwen Li, Tao Gan, and Bing Zeng. Review on the Applications of Deep Learning in the Analysis of Gastrointestinal

Endoscopy Images. IEEE Access, 2019, 7: 142053-142069.

[4] Yaowen Xing, Nini Rao, Mengmeng Miao, Quanchi Li, Qian Li, Xiaoyan Chen, Quan Zhang, Junmei Wu. Task-State Heart Rate Variability Parameter- Based Depression Detection Model and Effect of Therapy on the Parameters. IEEE Access, 2019, 7: 105701-105709.

[5] Zeng W., Rao N., Li Q., Liu D. Y., Wang, G. B., Li Z. W., Yang Y. T., Genome-wide analyses on single disease samples for potential biomarkers and biological features of molecular subtypes: A case study in gastric cancer, International Journal of Biological Sciences, 2018，14(8): 833–842.

[6] Zhao C. L., Zhao M., Yang Y., Gao J. F., Rao N., Lin P., The reorganization of human brain networks modulated by driving mental fatigue, IEEE Journal of Biomedical and Health Informatics., 2017, 21(3):743-755.

[7] Liu D. Y., Gan T., Rao N., Xing Y. W., Zheng J., Li S., Luo C. S., Zhou Z. J., Wan Y. L.,

Identification of lesion images from gastrointestinal endoscope based on feature extraction of combinational methods with and without learning process, Medical Image Analysis, 2016, 32: 281-294

[8] Zhao-Yue Zhang, Yu-He Yang, Hui Ding, Dong Wang, Wei Chen, Hao Lin. Design powerful predictor for mRNA subcellular location prediction in Homo sapiens. Briefings in Bioinformatics, 2019, DOI: 10.1093/bib/bbz177.

[9] Hui Yang, Wuritu Yang, Fu-Ying Dao, Hao Lv, Hui Ding, Wei Chen, Hao Lin. A comparison and assessment of computational method for identifying recombination hotspots in Saccharomyces cerevisiae. Briefings in Bioinformatics, 2019, DOI: 10.1093/bib/bbz123.

[10] Hao Lv, Zi-Mei Zhang, Shi-Hao Li, Jiu-Xin Tan, Wei Chen, Hao Lin. Evaluation of different computational methods on 5-methylcytosine sites identification. Briefings in Bioinformatics, 2019, DOI: 10.1093/bib/bbz048.

[11] Zhao-Chun Xu, Peng-Mian Feng, Hui Yang, Wang-Ren Qiu, Wei Chen, Hao Lin. iRNAD: a computational tool for identifying D modification sites in RNA sequence. Bioinformatics, 2019, 35 (23): 4922-4929.

[12] Wei Chen, Hao Lv, Fulei Nie, Hao Lin. 2i6mA-Pred: Idefying DNA N6-methyladenine sites in the rice genome. Bioinformatics, 2019, 35(16): 2796–2800.

[13] Hong-Yan Lai&, Zhao-Yue Zhang&, Zhen-Dong Su, Wei Su, Hui Ding, Wei Chen, Hao Lin. iProEP: a computational predictor for predicting promoter. Molecular Therapy - Nucleic Acids, 2019, 17: 337-346.

[14] Fu-Ying Dao, Hao Lv, Fang Wang, Chao-Qin Feng, Hui Ding, Wei Chen, Hao Lin. Identify origin of replication in Sccharomyces cerevisiae using two-step feature selection technique. Bioinformatics, 2019, 35(12):2075-2083.

[15] Chao-Qin Feng, Zhao-Yue Zhang, Xiao-Juan Zhu, Yan Lin, Wei Chen*, Hua Tang, Hao Lin. iTerm-PseKNC: a sequence-based tool for predicting bacterial transcriptional terminators. Bioinformatics, 2019, 35(9): 1469-1477.

[16] Zhen-Dong Su, Yan Huang, Zhao-Yue Zhang, Ya-Wei Zhao, Dong Wang, Wei Chen, Kuo-Chen Chou, Hao Lin. iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC. Bioinformatics, 2018, 34(24): 4196-4204.

[17] Peng Ren, Armando Barreto, Jian Huang, Ying Gao, Francisco R. Ortega, Malek Adjouadi. Off-line and On-line of Stress Detection Through Processing of the Pupil Diameter Signal. Annals of Biomedical Engineering, 2014, 42(1): 162- 176.

[18] Peng Ren, Armando Barreto, Ying Gao, and Malek Adjouadi. Affective Assessment by Digital Processing of the Pupil Diameter. IEEE Transactions on Affective Computing, 2013, 4(1): 2-14.

[19] Peng Ren, Armando Barreto, Ying Gao, and Malek Adjouadi. Digital Filtering of the Pupil Diameter Signal for Affective Assessment of a Computer User. Lecture Notes in Electrical Engineering, 2012, 151: 183-196.

[20] Jian Huang, Armando Barreto, Peng Ren and Malek Ajouadi. Personalised and Dynamic Image Precompensation for Computer Users with Ocular Aberrarions. Behavior & Information Technology, 2014, 33(9): 892-904.

[21] Ren, P., Barreto A., Gao,Y. and Adjouadi M. Comparison of the Use of Pupil Diameter and Galvanic Skin Response Signals for Affective Assessment of Computer Users. Biomedical Sciences Instrumentation, 2012, 48: 345-350.

[22] Peng Ren, Weihua Zhao, Zhiying Zhao, Maria L. Bringas-Vega, Pedro A. Valdes-Sosa, and Keith M. Kendrick, Analysis of Gait Rhythm Fluctuations for Neurodegenerative Diseases by Phase Synchronization and Conditional Entropy, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2016, 24(2): 291-299.

[23] Peng Ren et al., Assessment of Balance Control Subsystems by Artificial Intelligence, IEEE Transactions on Neural Systems and Rehabilitation Engineering，2020, 28(3): 658-668.

[24] Peng Ren et al., Multivariate Analysis of Joint Motion Data by Kinect: Application to Parkinson's Disease, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020, 28(1): 181-190.

[25] Peng Ren et al., Movement Symmetry Assessment by Bilateral Motion Data Fusion, IEEE Transactions on Biomedical Engineering, 2019, 66(1): 225-236.

[26] Peng Ren et al., Comparison of the Use of Blink Rate and Blink Rate Variability for Mental State Recognition, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2019, 27(5): 867-875.

[27] Peng Ren et al., Gait Influence Diagrams in Parkinson's Disease, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017, 25(8): 1257-1267.

[28] Peng Ren et al., Gait Rhythm Fluctuation Analysis for Neurodegenerative Diseases by Empirical Mode Decomposition, IEEE Transactions on Biomedical Engineering, 2017, 64(1).

[29] Peng Ren et al., Analysis of Gait Rhythm Fluctuation for Neurodegenerative Diseases by Phase Synchronization and Conditional Entropy, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2016, 24(2).

[30] Peng Ren et al., Dynamics of Blink and Non-Blink Cyclicity for Affective Assessment: A Case Study for Stress Identification, IEEE Transactions on Affective Computing (Accepted)

二、发明专利

[1] 刘丁赟, 饶妮妮, 刘汉明, 等. 从高维非对称数据中提取分类信息的方法[P]. 中国四川, 发明专利，ZL201510251168.4, 2019年4月23日授权

[2] 饶妮妮, 李全池, 等. 一种心电信号QRS波起止点定位方法. 中国发明专利，申请号：CN201910793288.5，2019年08月26日

[3] 张俊鹏，饶妮妮. 一种ncRNA协同竞争网络识别方法和装置. 中国发明专利，申请号：CN201911229601.9，2019年12月04日

[4] 张俊鹏，饶妮妮. 一种miRNA海绵互作对的识别方法. 中国发明专利，申请号：CN201911064153.1，2019年11月01日

三、主要科研项目

1、国家自然科学基金重点国际(地区)合作研究项目1项

2、国家自然科学基金面上项目10项

3、省部级项目10项

4、企事业合作项目5项

四、专著与教材

[1] 饶妮妮编，常心电图特征波定位与常见心律失常检测方法，电子科技大学出版社，2019

[2] 林昊、王栋、郭锋彪主编，简明生物信息学，电子科技大学出版社，2014

[3] 饶妮妮，李凌主编，生物医学信号处理，电子科技大学出版社，2005

[4] 刘光祜，饶妮妮编，模拟电路基础，电子科技大学出版社，2001

[5] 杨绍城，饶妮妮，师奕兵编，计算机在电路设计中的应用，电子科技大学出版社，1995

五、主要教学获奖

1、四川省第八届高等教育教学成果奖：构建以国际国内竞赛为核心的梯级人才成长平台，培养生命与信息交叉创新能力，2018

2、电子科技大学第八届教学成果二等奖：培养掌握前沿信息技术的生物创新型科研人才，2016

3、国家精品资源共享课程：生物医学信号处理课程（本科），2013

4、四川省第五届高等教育教学成果奖：生物医学工程专业的教学建设与改革，2005

5、四川省第四届高等教育教学成果奖：模拟电路课程现代化建设与改革，2001

6、四川省优秀教学团队：生物医学工程专业核心课程教学团队

六、主要教改项目

七、主要教改论文

[1] Nini Rao, et al. Teaching Strategies for graduates with Different Specialty Background in Biomedical Signal Processing Course. Advances in Social Science, Education and Humanities Research, 2015, 303-306.

[2] 王先龙，林昊，丁辉，黄健，Mathematica应用于生物医学统计互动教学，实验技术与管理，2014，31（8）：126-131.

[3] Nini Rao, et al. Exploring Suitable Examination Pattern for Courses of Biomedical Engineering Subject. 2011 IEEE International Symposium on IT in Medicine & Education (ITME 2011), 411-413.

[4] 饶妮妮, 杜晓川, 欧凤. 生物医学信号处理课程研究性教学的探索与实践. 高教论坛. 2011, 8：78-80.

[5] 饶妮妮等. 浅析多媒体课件与课堂教学质量的关系. 电子科技大学学报，2005年增刊.

[6] 饶妮妮等. 建设生物医学工程专业综合实验系统,加强学生工程能力培养和训练. 中国电子高等教育国际化，机械工业出版社出版，2004年10月，146 -148.

[7] 饶妮妮等. 加大“生物医学工程课程专业课程考试模式改革力度， 提高复合型人才培养质量. 中国电子学会教育分会年会论文集，高等教育出版社,2003年9月.

八、指导学生竞赛获奖

1、 饶妮妮作为主教练指导学生获得第五届全国大学生生物医学工程创新设计竞赛一等奖，2019。

2、 饶妮妮作为主教练指导学生获得首届中国心电智能大赛三等奖，2019。