Kamran Paynabar

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 42

Top Topics

Tensor Decomposition

Anomaly Detection

Top Venues

IEEE Trans Autom. Sci. Eng.

Publications

Zihan Zhang, Shancong Mou, Kamran Paynabar, Jianjun Shi
Tensor-Based Temporal Control for Partially Observed High-Dimensional Streaming Data. Technometrics 66 (2) (2024)
Jinhyeun Kim, Christopher Luettgen, Kamran Paynabar, Fani Boukouvala
Physics-based Penalization for Hyperparameter Estimation in Gaussian Process Regression. Comput. Chem. Eng. 178 (2023)
Upala Junaida Islam, Kamran Paynabar, George Runger, Ashif Sikandar Iquebal
Dynamic Exploration-Exploitation Trade-Off in Active Learning Regression with Bayesian Hierarchical Modeling. CoRR (2023)
Qian Wang, Kamran Paynabar
Maximum Covariance Unfolding Regression: A Novel Covariate-based Manifold Learning Approach for Point Cloud Data. CoRR (2023)
Anjolaoluwa Ayomide Popoola, Jennifer Koren Frediani, Terryl Johnson Hartman, Kamran Paynabar
Mitigating underreported error in food frequency questionnaire data using a supervised machine learning method and error adjustment algorithm. BMC Medical Informatics Decis. Mak. 23 (1) (2023)
Qian Wang, Huanyi Shui, Thi Tu Trinh Tran, Milad Zafar Nezhad, Devesh Upadhyay, Kamran Paynabar, Anqi He
A Novel Two-level Causal Inference Framework for On-road Vehicle Quality Issues Diagnosis. CoRR (2023)
Wei Yang, Marco Grasso, Bianca Maria Colosimo, Kamran Paynabar
A tensor-based hierarchical process monitoring approach for anomaly detection in additive manufacturing. Qual. Reliab. Eng. Int. 39 (2) (2023)
Zhen Zhong, Kamran Paynabar, Jianjun (Jan) Shi
Image-Based Feedback Control Using Tensor Analysis. Technometrics 65 (3) (2023)
Chitta Ranjan, Samaneh Ebrahimi, Kamran Paynabar
Sequence graph transform (SGT): a feature embedding function for sequence data mining. Data Min. Knowl. Discov. 36 (2) (2022)
Wei Yang, Jialei Chen, Chuck Zhang, Kamran Paynabar
Online detection of cyber-incidents in additive manufacturing systems via analyzing multimedia signals. Qual. Reliab. Eng. Int. 38 (3) (2022)
Gurkan Aydemir, Kamran Paynabar, Burak Acar
Robust Feature Learning for Remaining Useful Life Estimation Using Siamese Neural Networks. EUSIPCO (2022)
Samaneh Ebrahimi, Mostafa Reisi Gahrooei, Kamran Paynabar, Shawn Mankad
Monitoring sparse and attributed networks with online Hurdle models. IISE Trans. 54 (1) (2022)
Ana María Estrada Gómez, Dan Li, Kamran Paynabar
An Adaptive Sampling Strategy for Online Monitoring and Diagnosis of High-Dimensional Streaming Data. Technometrics 64 (2) (2022)
Mostafa Reisi Gahrooei, Hao Yan, Kamran Paynabar, Jianjun Shi
Multiple Tensor-on-Tensor Regression: An Approach for Modeling Processes With Heterogeneous Sources of Data. Technometrics 63 (2) (2021)
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) (2021)
Dan Li, Kamran Paynabar, Nagi Gebraeel
A degradation-based detection framework against covert cyberattacks on SCADA systems. IISE Trans. 53 (7) (2021)
Xiaolei Fang, Hao Yan, Nagi Gebraeel, Kamran Paynabar
Multi-sensor prognostics modeling for applications with highly incomplete signals. IISE Trans. 53 (5) (2021)
Zhen Zhong, Ribhu Sengupta, Kamran Paynabar, Lance A. Waller
Multi-Objective Allocation of COVID-19 Testing Centers: Improving Coverage and Equity in Access. CoRR (2021)
Dan Li, Nagi Gebraeel, Kamran Paynabar, A. P. Sakis Meliopoulos
An Online Approach to Cyberattack Detection and Localization in Smart Grid. CoRR (2021)
Dan Li, Paritosh Ramanan, Nagi Gebraeel, Kamran Paynabar
Deep Learning based Covert Attack Identification for Industrial Control Systems. CoRR (2020)
Gurkan Aydemir, Kamran Paynabar
Image-Based Prognostics Using Deep Learning Approach. IEEE Trans. Ind. Informatics 16 (9) (2020)
Hao Yan, Marco Grasso, Kamran Paynabar, Bianca Maria Colosimo
Real-time Detection of Clustered Events in Video-imaging data with Applications to Additive Manufacturing. CoRR (2020)
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 (2020)
Hao Yan, Kamran Paynabar, Jianjun Shi
AKM2D: An adaptive framework for online sensing and anomaly quantification. IISE Trans. 52 (9) (2020)
Dan Li, Paritosh Ramanan, Nagi Gebraeel, Kamran Paynabar
Deep Learning Based Covert Attack Identification for Industrial Control Systems. ICMLA (2020)
Mostafa Reisi Gahrooei, Kamran Paynabar, Massimo Pacella, Jianjun Shi
Process Modeling and Prediction With Large Number of High-Dimensional Variables Using Functional Regression. IEEE Trans Autom. Sci. Eng. 17 (2) (2020)
Alessia Benevento, María Santos, Giuseppe Notarstefano, Kamran Paynabar, Matthieu R. Bloch, Magnus Egerstedt
Multi-Robot Coordination for Estimation and Coverage of Unknown Spatial Fields. ICRA (2020)
Mostafa Reisi Gahrooei, Kamran Paynabar, Massimo Pacella, Bianca Maria Colosimo
An adaptive fused sampling approach of high-accuracy data in the presence of low-accuracy data. IISE Trans. 51 (11) (2019)
Kourosh Jafari-Khouzani, Kamran Paynabar, Fatemeh Hajighasemi, Bruce R. Rosen
Effect of Region of Interest Size on the Repeatability of Quantitative Brain Imaging Biomarkers. IEEE Trans. Biomed. Eng. 66 (3) (2019)
Xiaolei Fang, Kamran Paynabar, Nagi Gebraeel
Image-Based Prognostics Using Penalized Tensor Regression. Technometrics 61 (3) (2019)
Hao Yan, Kamran Paynabar, Massimo Pacella
Structured Point Cloud Data Analysis Via Regularized Tensor Regression for Process Modeling and Optimization. Technometrics 61 (3) (2019)
Hao Yan, Kamran Paynabar, Jianjun Shi
D : An Adaptive Framework for Online Sensing and Anomaly Quantification. CoRR (2019)
Samaneh Ebrahimi, Chitta Ranjan, Kamran Paynabar
Large Multistream Data Analytics for Monitoring and Diagnostics in Manufacturing Systems. CoRR (2018)
Yuan Wang, Yajun Mei, Kamran Paynabar
Thresholded Multivariate Principal Component Analysis for Phase I Multichannel Profile Monitoring. Technometrics 60 (3) (2018)
Chitta Ranjan, Markku Mustonen, Kamran Paynabar, Karim Pourak
Dataset: Rare Event Classification in Multivariate Time Series. CoRR (2018)
Hao Yan, Kamran Paynabar, Jianjun Shi
Real-Time Monitoring of High-Dimensional Functional Data Streams via Spatio-Temporal Smooth Sparse Decomposition. Technometrics 60 (2) (2018)
Hao Yan, Kamran Paynabar, Massimo Pacella
Structured Point Cloud Data Analysis via Regularized Tensor Regression for Process Modeling and Optimization. CoRR (2018)
Hao Yan, Kamran Paynabar, Jianjun Shi
Anomaly Detection in Images With Smooth Background via Smooth-Sparse Decomposition. Technometrics 59 (1) (2017)
Xiaolei Fang, Kamran Paynabar, Nagi Gebraeel
Multistream sensor fusion-based prognostics model for systems with single failure modes. Reliab. Eng. Syst. Saf. 159 (2017)
William H. Woodall, Meng J. Zhao, Kamran Paynabar, Ross Sparks, James D. Wilson
An overview and perspective on social network monitoring. CoRR (2016)
Chitta Ranjan, Samaneh Ebrahimi, Kamran Paynabar
Sequence Graph Transform (SGT): A Feature Extraction Function for Sequence Data Mining. CoRR (2016)
Kamran Paynabar, Changliang Zou, Peihua Qiu
A Change-Point Approach for Phase-I Analysis in Multivariate Profile Monitoring and Diagnosis. Technometrics 58 (2) (2016)
Hao Yan, Kamran Paynabar, Jianjun Shi
Image-Based Process Monitoring Using Low-Rank Tensor Decomposition. IEEE Trans Autom. Sci. Eng. 12 (1) (2015)
Kamran Paynabar, Judy Jin, Matthew P. Reed
Informative Sensor and Feature Selection via Hierarchical Nonnegative Garrote. Technometrics 57 (4) (2015)
Rassoul Noorossana, Abbas Saghaei, Kamran Paynabar, Sara Abdi
Identifying the period of a step change in high-yield processes. Qual. Reliab. Eng. Int. 25 (7) (2009)
Rassoul Noorossana, Abbas Saghaei, Kamran Paynabar, Yaser Samimi
On the conditional decision procedure for high yield processes. Comput. Ind. Eng. 53 (3) (2007)