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ORCIDNagi Gebraeel
Person information
- affiliation: Georgia Institute of Technology, School of Industrial and Systems Engineering, Atlanta, GA, USA
- affiliation (PhD 2003): Purdue University, West Lafayette, IN, USA
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2020 – today
- 2024
[j38]Kaigan Zhang
, Tangbin Xia, Yuhui Xu, Yutong Ding, Yong Zhao, Nagi Gebraeel, Lifeng Xi:
A hybrid prognostic & health management framework across multi-level engineering systems with scalable convolution neural networks and adjustable functional regression models. Adv. Eng. Informatics 61: 102566 (2024)- [j37]Xuejian Gong, Roger J. Jiao, Nagi Z. Gebraeel:
Task derivation and decomposition in crowdsourced manufacturing by bilevel coordinated optimization of product family planning and manufacturer load balancing. Comput. Ind. Eng. 190: 110101 (2024) - [j36]Michael Ibrahim, Heraldo Rozas, Nagi Gebraeel:
An Integrated Detection-Prognostics Methodology for Components With Intermittent Faults. J. Comput. Inf. Sci. Eng. 24(6) (2024) - [j35]Kaigan Zhang, Tangbin Xia, Guojin Si, Nagi Gebraeel, Dong Wang, Ershun Pan, Lifeng Xi:
A Collaborative Scheduling Algorithm for Real-Time Production and Opportunistic Maintenance Under Cloud Manufacturing Paradigm. IEEE Trans. Reliab. 73(1): 170-185 (2024) - [i10]Michael Ibrahim, Heraldo Rozas, Nagi Gebraeel:
Wasserstein Distributionally Robust Multiclass Support Vector Machine. CoRR abs/2409.08409 (2024) - [i9]Michael Ibrahim, Heraldo Rozas, Nagi Gebraeel, Weijun Xie:
A Federated Distributionally Robust Support Vector Machine with Mixture of Wasserstein Balls Ambiguity Set for Distributed Fault Diagnosis. CoRR abs/2410.03877 (2024) - 2023
- [j34]Xuejian Gong, Shu Wang, Roger J. Jiao, Nagi Z. Gebraeel:
Collaborative contracting for Manufacturing-as-a-Service (MaaS) by information content measurement and decision tree learning. Adv. Eng. Informatics 56: 101911 (2023) - [j33]Paritosh Ramanan, Murat Yildirim, Nagi Gebraeel, Edmond Chow:
Differentially Private Decentralized Generator Maintenance and Operations for Power Networks. IEEE Trans. Control. Netw. Syst. 10(2): 972-982 (2023) - [c6]Shu Wang, Mulang Song, Yiyun Fei, Dandan Zhang, Feng Zhou, Nagi Gebraeel, Jianxin Jiao:
Prospect-theoretic Modeling of Team Cognition for Task Allocation Towards Human-automation Symbiosis. IEEM 2023: 1158-1162 - 2022
- [j32]Guojin Si, Tangbin Xia, Nagi Gebraeel, Dong Wang, Ershun Pan, Lifeng Xi:
A reliability-and-cost-based framework to optimize maintenance planning and diverse-skilled technician routing for geographically distributed systems. Reliab. Eng. Syst. Saf. 226: 108652 (2022) - [j31]Paritosh Ramanan, Dan Li, Nagi Gebraeel:
Blockchain-Based Decentralized Replay Attack Detection for Large-Scale Power Systems. IEEE Trans. Syst. Man Cybern. Syst. 52(8): 4727-4739 (2022) - 2021
- [j30]Xiaolei Fang, Hao Yan, Nagi Gebraeel, Kamran Paynabar:
Multi-sensor prognostics modeling for applications with highly incomplete signals. IISE Trans. 53(5): 597-613 (2021) - [j29]Dan Li, Kamran Paynabar, Nagi Gebraeel:
A degradation-based detection framework against covert cyberattacks on SCADA systems. IISE Trans. 53(7): 812-829 (2021) - [j28]Naipeng Li, Nagi Gebraeel, Yaguo Lei, Xiaolei Fang, Xiao Cai, Tao Yan:
Remaining useful life prediction based on a multi-sensor data fusion model. Reliab. Eng. Syst. Saf. 208: 107249 (2021) - [j27]Dan Li, Nagi Gebraeel, Kamran Paynabar:
Detection and Differentiation of Replay Attack and Equipment Faults in SCADA Systems. IEEE Trans Autom. Sci. Eng. 18(4): 1626-1639 (2021) - [j26]Naipeng Li, Yaguo Lei, Nagi Gebraeel, Zhijian Wang, Xiao Cai, Pengcheng Xu, Biao Wang:
Multi-Sensor Data-Driven Remaining Useful Life Prediction of Semi-Observable Systems. IEEE Trans. Ind. Electron. 68(11): 11482-11491 (2021) - [j25]Kavya Ashok, Dan Li, Nagi Gebraeel, Deepak Divan:
Online Detection of Inter-Turn Winding Faults in Single-Phase Distribution Transformers Using Smart Meter Data. IEEE Trans. Smart Grid 12(6): 5073-5083 (2021) - [i8]Dan Li, Nagi Gebraeel, Kamran Paynabar, A. P. Sakis Meliopoulos:
An Online Approach to Cyberattack Detection and Localization in Smart Grid. CoRR abs/2102.11401 (2021) - 2020
- [j24]Beste Basciftci, Shabbir Ahmed, Nagi Gebraeel:
Data-driven maintenance and operations scheduling in power systems under decision-dependent uncertainty. IISE Trans. 52(6): 589-602 (2020) - [j23]Roger Jianxin Jiao, Feng Zhou, Nagi Z. Gebraeel, Vincent G. Duffy:
Towards augmenting cyber-physical-human collaborative cognition for human-automation interaction in complex manufacturing and operational environments. Int. J. Prod. Res. 58(16): 5089-5111 (2020) - [j22]Benjamin Peters, Murat Yildirim, Nagi Gebraeel, Kamran Paynabar:
Severity-based diagnosis for vehicular electric systems with multiple, interacting fault modes. Reliab. Eng. Syst. Saf. 195: 106605 (2020) - [c5]Dan Li, Paritosh Ramanan, Nagi Gebraeel, Kamran Paynabar:
Deep Learning Based Covert Attack Identification for Industrial Control Systems. ICMLA 2020: 438-445 - [c4]Kavya Ashok, Dan Li, Deepak Divan, Nagi Gebraeel:
Distribution Transformer Health Monitoring using Smart Meter Data. ISGT 2020: 1-5 - [i7]Dan Li, Paritosh Ramanan, Nagi Gebraeel, Kamran Paynabar:
Deep Learning based Covert Attack Identification for Industrial Control Systems. CoRR abs/2009.12360 (2020) - [i6]Paritosh Ramanan, Murat Yildirim, Nagi Gebraeel, Edmond Chow:
Large-Scale Maintenance and Unit Commitment: A Decentralized Subgradient Approach. CoRR abs/2010.09055 (2020) - [i5]Paritosh Ramanan, Dan Li, Nagi Gebraeel:
Blockchain Based Decentralized Cyber Attack Detection for Large Scale Power Systems. CoRR abs/2010.09086 (2020) - [i4]Paritosh Ramanan, Murat Yildirim, Nagi Gebraeel, Edmond Chow:
Decentralized and Secure Generation Maintenance with Differential Privacy. CoRR abs/2010.09099 (2020)
2010 – 2019
- 2019
- [j21]Naipeng Li, Nagi Gebraeel, Yaguo Lei, Linkan Bian, Xiaosheng Si:
Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model. Reliab. Eng. Syst. Saf. 186: 88-100 (2019) - [j20]Iqra Ejaz, Michelle M. Alvarado, Natarajan Gautam, Nagi Gebraeel, Mark Lawley:
Condition-Based Maintenance for Queues With Degrading Servers. IEEE Trans Autom. Sci. Eng. 16(4): 1750-1762 (2019) - [j19]Xiaolei Fang, Kamran Paynabar, Nagi Gebraeel:
Image-Based Prognostics Using Penalized Tensor Regression. Technometrics 61(3): 369-384 (2019) - [i3]Paritosh Ramanan, Murat Yildirim, Edmond Chow, Nagi Gebraeel:
An Asynchronous, Decentralized Solution Framework for the Large Scale Unit Commitment Problem. CoRR abs/1904.03560 (2019) - 2018
- [j18]Yang Cao, Yao Xie, Nagi Gebraeel:
Multi-sensor slope change detection. Ann. Oper. Res. 263(1-2): 163-189 (2018) - 2017
- [j17]Xiaolei Fang, Kamran Paynabar, Nagi Gebraeel:
Multistream sensor fusion-based prognostics model for systems with single failure modes. Reliab. Eng. Syst. Saf. 159: 322-331 (2017) - [j16]Li Hao, Kaibo Liu, Nagi Gebraeel, Jianjun Shi:
Controlling the Residual Life Distribution of Parallel Unit Systems Through Workload Adjustment. IEEE Trans Autom. Sci. Eng. 14(2): 1042-1052 (2017) - [j15]Li Hao, Linkan Bian, Nagi Gebraeel, Jianjun Shi:
Residual Life Prediction of Multistage Manufacturing Processes With Interaction Between Tool Wear and Product Quality Degradation. IEEE Trans Autom. Sci. Eng. 14(2): 1211-1224 (2017) - [c3]Paritosh Ramanan, Murat Yildirim, Edmond Chow, Nagi Gebraeel:
Asynchronous Decentralized Framework for Unit Commitment in Power Systems. ICCS 2017: 665-674 - [c2]Paras Jain, Chirag Tailor, Sam Ford, Liexiao Ding, Michael Phillips, Fang (Cherry) Liu, Nagi Gebraeel, Duen Horng Chau:
Scalable Architecture for Anomaly Detection and Visualization in Power Generating Assets. IPDPS Workshops 2017: 1078-1082 - [i2]Paras Jain, Chirag Tailor, Sam Ford, Liexiao Ding, Michael Phillips, Fang (Cherry) Liu, Nagi Gebraeel, Duen Horng Chau:
Scalable Architecture for Anomaly Detection and Visualization in Power Generating Assets. CoRR abs/1701.07500 (2017) - 2015
- [j14]Xiaolei Fang, Rensheng Zhou, Nagi Gebraeel:
An adaptive functional regression-based prognostic model for applications with missing data. Reliab. Eng. Syst. Saf. 133: 266-274 (2015) - [i1]Yang Cao, Yao Xie, Nagi Gebraeel:
Multi-Sensor Slope Change Detection. CoRR abs/1509.00114 (2015) - 2014
- [j13]Rensheng Zhou, Nicoleta Serban, Nagi Gebraeel, Hans-Georg Müller:
A Functional Time Warping Approach to Modeling and Monitoring Truncated Degradation Signals. Technometrics 56(1): 67-77 (2014) - 2013
- [j12]Linkan Bian, Nagi Gebraeel:
Stochastic methodology for prognostics under continuously varying environmental profiles. Stat. Anal. Data Min. 6(3): 260-270 (2013) - [j11]Kaibo Liu, Nagi Gebraeel, Jianjun Shi:
A Data-Level Fusion Model for Developing Composite Health Indices for Degradation Modeling and Prognostic Analysis. IEEE Trans Autom. Sci. Eng. 10(3): 652-664 (2013) - 2011
- [j10]Alaa Elwany, Nagi Z. Gebraeel, Lisa M. Maillart:
Structured Replacement Policies for Components with Complex Degradation Processes and Dedicated Sensors. Oper. Res. 59(3): 684-695 (2011) - [c1]Linkan Bian, Nagi Gebraeel:
A Stochastic Methodology for Prognostics Under Time-Varying Environmental Future Profiles. CIDU 2011: 219-231 - 2010
- [j9]Nagi Gebraeel:
Prognostics-Based Identification of the Top-k Units in a Fleet. IEEE Trans Autom. Sci. Eng. 7(1): 37-48 (2010)
2000 – 2009
- 2009
- [j8]Nagi Gebraeel, Alaa Elwany, Jing Pan:
Residual Life Predictions in the Absence of Prior Degradation Knowledge. IEEE Trans. Reliab. 58(1): 106-117 (2009) - [j7]Kevin A. Kaiser, Nagi Gebraeel:
Predictive Maintenance Management Using Sensor-Based Degradation Models. IEEE Trans. Syst. Man Cybern. Part A 39(4): 840-849 (2009) - 2008
- [j6]Nagi Gebraeel, Mark A. Lawley:
A Neural Network Degradation Model for Computing and Updating Residual Life Distributions. IEEE Trans Autom. Sci. Eng. 5(1): 154-163 (2008) - [j5]Nagi Gebraeel, Jing Pan:
Prognostic Degradation Models for Computing and Updating Residual Life Distributions in a Time-Varying Environment. IEEE Trans. Reliab. 57(4): 539-550 (2008) - 2007
- [j4]Sze-jung Wu, Nagi Gebraeel, Mark A. Lawley, Yuehwern Yih:
A Neural Network Integrated Decision Support System for Condition-Based Optimal Predictive Maintenance Policy. IEEE Trans. Syst. Man Cybern. Part A 37(2): 226-236 (2007) - 2006
- [j3]Nagi Gebraeel:
Sensory-Updated Residual Life Distributions for Components With Exponential Degradation Patterns. IEEE Trans Autom. Sci. Eng. 3(4): 382-393 (2006) - 2004
- [j2]Nagi Gebraeel, Mark A. Lawley, Richard Liu, Vijay Parmeshwaran:
Residual life predictions from vibration-based degradation signals: a neural network approach. IEEE Trans. Ind. Electron. 51(3): 694-700 (2004) - 2001
- [j1]Nagi Gebraeel, Mark A. Lawley:
Deadlock detection, prevention, and avoidance for automated tool sharing systems. IEEE Trans. Robotics Autom. 17(3): 342-356 (2001)
Coauthor Index
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