8．《自動(dòng)化學(xué)報(bào)》、《控制理論與應(yīng)用》、《中國(guó)化學(xué)工程學(xué)報(bào)》、《Automatica》、《IEEE Transactions on Control Systems Technology》、《Journal of Process Control》、《Control Engineering Practice》、《IEEE Transactions on Automation Science and Engineering》、《Computers and Chemical Engineering》等期刊審稿人。
2．YANG Fan, DUAN Ping, SHAH Sirish L, CHEN Tongwen. Capturing Connectivity and Causality in Industrial Processes, Springer, 2014
3．YANG Fan, XIAO Deyun, SHAH Sirish L. Qualitative fault detection and hazard analysis based on signed directed graphs for large-scale complex systems // ZHANG Wei (ed.). Fault Detection, INTECH, March 2010: 15-50
發(fā)表英文論文：
1．YU Feng, XIONG Qiluo, CAO Liang, YANG Fan. Stable soft sensor modeling based on causality analysis, Control Engineering Practice, DOI: 10.1016/j.conengprac.2022.105109
2．KLIMCHENKO Vladimir, TORGASHOV Andrei, SHARDT Yuri A W, YANG Fan. Multi-output soft sensor with a multivariate filter that predicts errors applied to an industrial reactive distillation process. Mathematics, 2021, 9, 1947
3．GAO Xinrui, YANG Fan, FENG Enbo. A process fault diagnosis method using multi-time scale dynamic feature extraction based on convolutional neural network. Canadian Journal of Chemical Engineering, 2020, 98(6): 1280-1292
4．CAO Liang, YU Feng, YANG Fan, CAO Yankai, GOPALUNI Bhushan. Data-driven dynamic inferential sensors based on causality analysis. Control Engineering Practice, 2020, 104, 104626
5．GUO Cen, YANG Fan, HUANG Dexian, HU Wenkai. Deep learning technique for process fault detection and diagnosis in the presence of incomplete data. Chinese Journal of Chemical Engineering, 2020, 28(9): 2358-2367
6．LI Yun, YANG Fan. Robust adaptive attitude control for non-rigid spacecraft with quantized control input. IEEE/CAA Journal of Automatica Sinica, 2020, 7(2): 472-481
7．WANG Kangcheng, SHANG Chao, LIU Lei, JIANG Yongheng, HUANG Dexian, YANG Fan. Dynamic soft sensor development based on convolutional neural networks. Industrial & Engineering Chemistry Research, 2019, 58(26): 11521-11531
8．LAI Shiqi, YANG Fan, CHEN Tongwen, CAO Liang. Accelerated multiple alarm flood sequence alignment for abnormality pattern mining. Journal of Process Control, 2019, 82: 44-57
9．SHANG Chao, YANG Fan, HUANG Dexian, JI Hongquan, HUANG Xiaolin. Generalized grouped contributions for hierarchical fault diagnosis with group Lasso. Control Engineering Practice, 2019, 93, 104193
10．SHANG Chao, YANG Fan, HUANG Biao, HUANG Dexian. Recursive slow feature analysis for adaptive monitoring of Industrial Processes. IEEE Transactions on Industrial Electronics, 2018, 65(11): 8895-8905
11．SU Jianjun, GUO Cen, ZANG Hao, YANG Fan, HUANG Dexian, GAO Xiaoyong, ZHAO Yan. A multi-setpoint delay-timer alarming strategy for industrial alarm monitoring. Journal of Loss Prevention in the Process Industries, 2018, 54: 1-9
12．SU Jianjun, WANG Dezheng, ZHANG Yinong, YANG Fan, ZHAO Yan, PANG Xiangkun. Capturing causality for fault diagnosis based on multi-valued alarm series using transfer entropy. Entropy, 2017, 19(12): 663
13．GUO Cen, HU Wenkai, LAI Shiqi, YANG Fan, CHEN Tongwen. An accelerated alignment method for analyzing time sequences of industrial alarm floods. Journal of Process Control, 2017, 57: 102-115
14．GAO Xinqing, ZHANG Jie, YANG Fan, SHANG Chao, HUANG Dexian. Robust proportional-integral-derivative (PID) design for parameter uncertain second-order plus time delay (SOPTD) processes based on reference model approximation. Industrial & Engineering Chemistry Research, 2017, 56(41): 11903-11918
15．GAO Xinqing, SHANG Chao, HUANG Dexian, YANG Fan. A novel approach to monitoring and maintenance of industrial PID controllers. Control Engineering Practice, 2017, 64: 111-126
16．LAI Shiqi, YANG Fan, CHEN Tongwen. Online pattern matching and prediction of incoming alarm floods. Journal of Process Control, 2017, 56: 69-78
17．GAO Xinqing, YANG Fan, SHANG Chao, HUANG Dexian. A novel data-driven method for simultaneous performance assessment and retuning of PID controllers. Industrial & Engineering Chemistry Research, 2017, 56(8): 2127-2139
18．GUO Feihong, SHANG Chao, HUANG Biao, WANG Kangcheng, YANG Fan, HUANG Dexian. Monitoring of operating point and process dynamics via probabilistic slow feature analysis, Chemometrics and Intelligent Laboratory Systems, 2016, 151: 115-125
19．WANG Jiandong, YANG Fan, CHEN Tongwen, SHAH Sirish L. An overview of industrial alarm systems: Main causes for alarm overloading, research status, and open problems. IEEE Transactions on Automation Science and Engineering, 2016, 13(2): 1045-1061
20．SHANG Chao, HUANG Biao, YANG Fan, HUANG Dexian. Slow feature analysis for monitoring and diagnosis of control performance. Journal of Process Control, 2016, 39: 21-34
21．JIANG Benben, YANG Fan, HUANG Dexian. Simultaneous structure and parameter identification of multivariate systems by matrix decomposition. Transactions of the Institute of Measurement and Control, 2016, 38(12): 1411-1420
22．GAO Xinqing, YANG Fan, SHANG Chao, HUANG Dexian. A review of control loop monitoring and diagnosis: Prospects of controller maintenance in big data era. Chinese Journal of Chemical Engineering, 2016, 24 (8): 952-962
23．YU Weijun, YANG Fan. Detection of causality between process variables based on industrial alarm data using transfer entropy, Entropy, 2015, 17(8): 5868-5887
24．JIANG Benben, YANG Fan, WANG Wei, HUANG Dexian. Simultaneous identification of bi-directional paths in closed-loop systems with coloured noise. Automatica, 2015, 58: 139-142
25．SHANG Chao, HUANG Biao, YANG Fan, HUANG Dexian. Probabilistic slow feature analysis-based representation learning from massive process data for soft sensor modeling. AIChE Journal, 2015, 61(12): 4126-4139
26．SHANG Chao, YANG Fan, GAO Xinqing, HUANG Xiaolin, SUYKENS Johan A K, HUANG Dexian. Concurrent monitoring of operating condition deviations and process dynamics anomalies with slow feature analysis. AIChE Journal, 2015, 61(11): 3666-3682
27．JIANG Benben, HUANG Dexian, ZHU Xiaoxiang, YANG Fan, BRAATZ Richard D. Canonical variate analysis-based contributions for fault identification. Journal of Process Control, 2015, 26: 17-25
28．DUAN Ping, YANG Fan, SHAH Sirish L, CHEN Tongwen. Transfer zero-entropy and its application for capturing cause and effect relationship between variables. IEEE Transactions on Control Systems Technology, 2015, 23(3): 855-867
29．JIANG Benben, YANG Fan, WANG Wei, HUANG Dexian. Identification of bidirectional path models based on process data. IEEE Transactions on Automation Science and Engineering, 2015, 12(2): 666-679
30．ZHANG Cong, YANG Fan, YE Hao. Informative conditions for a data set in a MIMO closed-loop system with a switching controller. International Journal of Robust and Nonlinear Control, 2015, 25(9): 1265-1281
31．SHANG Chao, GAO Xinqing, YANG Fan, HUANG Dexian. Novel Bayesian framework for dynamic soft sensor based on support vector machine with finite impulse response. IEEE Transactions on Control Systems Technology, 2014, 23(4): 1550-1557
32．ZHU Jianfeng, SHU Yidan, ZHAO Jinsong, YANG Fan. A dynamic alarm management strategy for chemical process transitions. Journal of Loss Prevention in the Process Industries, 2014, 30: 207-218
33．GAO Xinqing, YANG Fan, HUANG Dexian, DING Yanjun. An iterative two-level optimization method for the modeling of Wiener structure nonlinear dynamic soft sensors. Industrial & Engineering Chemistry Research, 2014, 53(3): 1172-1178
34．SHANG Chao, YANG Fan, HUANG Dexian, LYU Wenxiang. Data-driven soft sensor development based on deep learning technique. Journal of Process Control, 2014, 24(3): 223-233
35．DUAN Ping, CHEN Tongwen, SHAH Sirish L, YANG Fan. Methods for root cause diagnosis of plant-wide oscillations. AIChE Journal, 2014, 60(6): 2019-2034
36．DUAN Ping, YANG Fan, CHEN Tongwen, SHAH Sirish L. Direct causality detection via the transfer entropy approach. IEEE Transactions on Control Systems Technology, 2013, 21(6): 2052-2066
37．YANG Fan, XIAO Deyun, SHAH Sirish L. Signed directed graph-based hierarchical modelling and fault propagation analysis for large-scale systems. IET Control Theory and Applications, 2013, 7(4): 537-550
38．WAN Yiming, YANG Fan, LV Ning, XU Haipeng, YE Hao, LI Weichang, XU Peng, SONG Liming, USADI Adam K. Statistical root cause analysis of novel faults based on digraph models. Chemical Engineering Research & Design, 2013, 91(1): 87-99
39．WEI Yujie, JIANG Yongheng, YANG Fan, HUANG Dexian. Three-stage decomposition modeling for quality of gas-phase polyethylene process based on adaptive hinging hyperplanes and impulse response template. Industrial & Engineering Chemistry Research, 2013, 52(16): 5747-5756
40．XU Haipeng, YANG Fan, YE Hao, LI Weichang, XU Peng, USADI Adam K. Weighted reconstruction-based contribution for improved fault diagnosis. Industrial & Engineering Chemistry Research, 2013, 52(29): 9858-9870
41．YANG Fan, SHAH Sirish L, XIAO Deyun, CHEN Tongwen. Improved correlation analysis and visualization of industrial alarm data. ISA Transactions, 2012, 51(4): 499-506
42．ZHANG Cong, YANG, Fan, YE Hao. Informative property of the data set in a single-input single-output (SISO) closed-loop system with a switching controller. Chinese Journal of Chemical Engineering, 2012, 20(6): 1128-1135
43．ZHAI Shouchao, YANG Fan, YANG Hongying, YE Hao, WANG Guizeng. Leak detection of gas pipelines based on Wigner distribution. Asia-Pacific Journal of Chemical Engineering, 2012, 7(5): 670-677
44．YANG Fan, XIAO Deyun. Progress in root cause and fault propagation analysis of large-scale industrial processes. Journal of Control Science and Engineering, 2012, Article ID 478373
45．YANG Fan, SHAH Sirish L, XIAO Deyun. Signed directed graph modeling and validation of industrial processes by process knowledge and process data. International Journal of Applied Mathematics and Computer Science, 2012, 22(1): 41-53
46．YANG Fan, XIAO Deyun, SHAH Sirish L. Optimal sensor location design for reliable fault detection in presence of false alarms. Sensors, 2009, 9(11): 8579-8592.
47．YANG Fan, XIAO Deyun. Sensor location strategy in large-scale systems for fault detection applications. Journal of Computers, 2008, 3(11): 51−57.
48．YANG Fan, XIAO Deyun. Probabilistic SDG model description and fault inference for large-scale complex systems. High Technology Letters, 2006, 12(3): 239-244.
1．GUO Cen, HU Wenkai, YANG Fan, HUANG Dexian. A deep learning technique for process fault detection and diagnosis in the presence of incomplete data // 30th China Process Control Conference, Kunming, China, July 2019
2．GAO Xinqing, YANG Fan, HUANG Dexian. Model quality assessment and model mismatch detection: a temporal smoothness regularization approach // 10th IFAC International Symposium on Advanced Control of Chemical Processes, Shenyang, China, July 2018 (keynote speech)
3．SHANG Chao Shang, YANG Fan, HUANG Dexian. A systematic approach to dynamic monitoring of industrial processes based on second-order slow feature analysis // 10th IFAC International Symposium on Advanced Control of Chemical Processes, Shenyang, China, July 2018
4．ZHANG Jing, HAN Dong, YANG Fan, YE Hao, CHEN Maoyin. Frequency domain causality analysis method for multivariate systems in hypothesis testing framework // 19th IFAC World Congress, Cape Town, South Africa, August 2014: 6870-6877
5．MA Yanjun, SHANG Chao, YANG Fan, HUANG Dexian. Latent subspace clustering based on deep neural networks // Proceedings of the 5th International Symposium on Advanced Control of Industrial Processes, Hiroshima, Japan, May 2014
6．DUAN Ping, YANG Fan, CHEN Tongwen, SHAH Sirish L. A new information theory-based method for causality analysis // Proceedings of the 5th International Symposium on Advanced Control of Industrial Processes, Hiroshima, Japan, May 2014
7．YANG Fan, YU Weijun. Multi-fault diagnosis for industrial processes based on hybrid dynamic Bayesian network // Proceedings of the 32nd IASTED International Conference on Modelling, Identification and Control, Innsbruck, Austria, February 2013: 501-506
8．DUAN Ping, YANG Fan, CHEN Tongwen, SHAH Sirish L. Detection of direct causality based on process data // Proceedings of the 2012 American Control Conference, Montreal, QC, Canada, June 2012: 3522-3527
9．JIANG Benben, YANG Fan, JIANG Yongheng, HUANG Dexian. An extended AUDI algorithm for simultaneous identification of forward and backward paths in closed-loop systems // Proceedings of the 8th IFAC Symposium on Advanced Control of Chemical Processes, Singapore, July 2012: 396-401
10．YANG Fan, SHAH Sirish L, XIAO Deyun, CHEN Tongwen. Improved correlation analysis and visualization for industrial alarm data // 18th IFAC World Congress, Milano, Italy, August 2011: 12898-12903
11．YANG Fan, SHAH Sirish L, XIAO Deyun. Correlation analysis of alarm data and alarm limit design for industrial processes // Proceedings of 2010 American Control Conference (ACC), Baltimore, July 2010: 5850-5855
13．YANG Fan, XIAO Deyun. SDG-based fault isolation for large-scale complex systems solved by rough set theory // Proceedings of 17th IFAC World Congress, Seoul, Korea, July 2008: 7221-7226
14．YANG Fan, XIAO Deyun. Interval state estimation in signed directed graph based on sensitivity matrix method // 2008 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, Victoria, BC, Canada, May 2008: 672-675
15．YANG Fan, XIAO Deyun. Sensor location problem for large-scale complex systems in the framework of the dynamic signed directed graph // Proceedings of 2007 IEEE International Conference on Systems, Man and Cybernetics (SMC), Montreal, QC, Canada, October 2007: 2843-2847
16．YANG Fan, XIAO Deyun. Approach to fault diagnosis using SDG based on fault revealing time // Proceedings of 6th World Congress on Intelligent Control and Automation (WCICA), Dalian, China, June 2006: 5744-5747 (Young Research Paper Award)
榮譽(yù)獎(jiǎng)勵(lì)：
1．“Deep learning technique for process fault detection and diagnosis in the presence of incomplete data”，張鐘俊院士?jī)?yōu)秀論文獎(jiǎng)。
雖然學(xué)生工作花去了楊帆不少時(shí)間，但他在專業(yè)學(xué)習(xí)上從不懈怠。結(jié)合時(shí)代發(fā)展的需要，立足國(guó)際前沿和自身發(fā)展特色，多年來(lái)，他逐漸形成了以大規(guī)模復(fù)雜系統(tǒng)的拓?fù)浣�、故障診斷與安全評(píng)價(jià)、工業(yè)系統(tǒng)智能報(bào)警監(jiān)控和系統(tǒng)辨識(shí)為主，具有學(xué)科交叉性質(zhì)的研究方向。無(wú)論是應(yīng)用基礎(chǔ)研究還是針對(duì)復(fù)雜過(guò)程的應(yīng)用研究，他均有所突破。出色的研究表現(xiàn)及出彩的學(xué)生工作為楊帆贏得了他應(yīng)得的榮譽(yù)，先后于2002年獲得清華大學(xué)“優(yōu)秀畢業(yè)生”榮譽(yù)稱號(hào)；2006年獲得IEEE Control Systems Society (Beijing Chapter)頒發(fā)的“青年優(yōu)秀論文獎(jiǎng)”；2008年獲得清華大學(xué)“優(yōu)秀博士畢業(yè)生”榮譽(yù)稱號(hào)等。
在這種理念的影響下，楊帆積極上進(jìn)、精勤不倦，將自強(qiáng)不息的精神具體化到了平時(shí)的行動(dòng)中，除學(xué)業(yè)以外，本科期間還曾擔(dān)任系學(xué)生會(huì)主席。由于各方面表現(xiàn)優(yōu)異，2002年獲得清華大學(xué)“優(yōu)秀畢業(yè)生”榮譽(yù)稱號(hào)。研究生階段，楊帆更是雙肩挑，同時(shí)完成科研工作和承擔(dān)學(xué)生工作，如本科生輔導(dǎo)員、系學(xué)生工作組組長(zhǎng)、系研究生學(xué)術(shù)委員會(huì)主任等。他先后獲北京市三好學(xué)生、北京市優(yōu)秀學(xué)生干部、清華大學(xué)“一二·九”輔導(dǎo)員獎(jiǎng)、清華大學(xué)優(yōu)秀共產(chǎn)黨員等獎(jiǎng)項(xiàng)或稱號(hào)。2006年獲得IEEE Control Systems Society （Beijing Chapter）頒發(fā)的“青年優(yōu)秀論文獎(jiǎng)”。
一個(gè)優(yōu)秀的科技工作者總是清楚自己的差距，也清楚未來(lái)的路如何走。正是因?yàn)槿绱�，楊帆積極地參與到各種科研項(xiàng)目中。楊帆目前還承擔(dān)了與ExxonMobil Research and Engineering Company國(guó)際科技合作項(xiàng)目、清華信息科學(xué)與技術(shù)國(guó)家實(shí)驗(yàn)室（籌）學(xué)科交叉基金項(xiàng)目“生產(chǎn)過(guò)程異常工況管理和輔助決策支持”等。
楊帆，男，1980年出生，北京人，共產(chǎn)黨員，博士�，F(xiàn)任清華大學(xué)自動(dòng)化系特別研究員（副教授），博士生導(dǎo)師。校學(xué)位辦公室主任。
教育及工作經(jīng)歷： 
科學(xué)研究：
論文專著(部分)：
榮譽(yù)獎(jiǎng)勵(lì)：
招生招聘：
學(xué)術(shù)資源：
國(guó)際競(jìng)爭(zhēng)從根本上說(shuō)是科技的競(jìng)爭(zhēng)，社會(huì)轉(zhuǎn)型和經(jīng)濟(jì)增長(zhǎng)也迫切地要求自主創(chuàng)新能力的不斷提升，國(guó)家迫切需要越來(lái)越多科技人才的不斷涌現(xiàn)，使其創(chuàng)新智慧競(jìng)相迸發(fā)、形成強(qiáng)大的自主創(chuàng)新能力，以支持我國(guó)經(jīng)濟(jì)社會(huì)持續(xù)發(fā)展。在中國(guó)科技走向未來(lái)的征途中，有這樣一批精英才俊，他們有著敏銳活躍的思維和創(chuàng)造力，也有著敬業(yè)奉獻(xiàn)、勇于攀登的態(tài)度和魄力，他們執(zhí)著無(wú)悔地跋涉在科研旅途上，以一種謙遜但無(wú)比執(zhí)著的姿態(tài)帶給祖國(guó)科研事業(yè)以新的活力。
