A Stochastic Methodology for Prognostics Under Time-Varying Environmental Future Profiles. - Linkan Bian; Nagi Gebraeel (CIDU, 2011)

Stochastic methodology for prognostics under continuously varying environmental profiles. - Linkan Bian; Nagi Gebraeel (Stat. Anal. Data Min., 2013)

Systematic optimization of Laser-based Additive Manufacturing for multiple mechanical properties. - Amir M. Aboutaleb; Linkan Bian; Nima Shamsaei; Scott M. Thompson (CASE, 2016)

Designing a reliable bio-fuel supply chain network considering link failure probabilities. - Sushil R. Poudel; Mohammad Marufuzzaman; Linkan Bian (Comput. Ind. Eng., 2016)

Bot Classification for Real-Life Highly Class-Imbalanced Dataset. - Sarah Harun; Tanveer Hossain Bhuiyan; Song Zhang 004; Hugh R. Medal; Linkan Bian (DASC/PiCom/DataCom/CyberSciTech, 2017)

A Visual Evaluation Study of Graph Sampling Techniques. - Fangyan Zhang; Song Zhang 004; Pak Chung Wong; Hugh R. Medal; Linkan Bian; J. Edward Swan II; T. J. Jankun-Kelly (Visualization and Data Analysis, 2017)

Botnet detection using graph-based feature clustering. - Sudipta Chowdhury; Mojtaba Khanzadeh; Ravi Akula; Fangyan Zhang; Song Zhang 004; Hugh R. Medal; Mohammad Marufuzzaman; Linkan Bian (J. Big Data, 2017)

Self-Organizing and Error Driven (SOED) artificial neural network for smarter classifications. - Ruholla Jafari-Marandi; Mojtaba Khanzadeh; Brian K. Smith; Linkan Bian (J. Comput. Des. Eng., 2017)

Residual Life Prediction of Multistage Manufacturing Processes With Interaction Between Tool Wear and Product Quality Degradation. - Li Hao; Linkan Bian; Nagi Gebraeel; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2017)

Managing congestion in a multi-modal transportation network under biomass supply uncertainty. - Sushil R. Poudel; Md Abdul Quddus; Mohammad Marufuzzaman; Linkan Bian; Reuben F. Burch V. (Ann. Oper. Res., 2019)

Sustainable design of on-demand supply chain network for additive manufacturing. - Sudipta Chowdhury; Omid Shahvari; Mohammad Marufuzzaman; Jack Francis; Linkan Bian (IISE Trans., 2019)

In-situ monitoring of melt pool images for porosity prediction in directed energy deposition processes. - Mojtaba Khanzadeh; Sudipta Chowdhury; Mark A. Tschopp; Haley R. Doude; Mohammad Marufuzzaman; Linkan Bian (IISE Trans., 2019)

A modified Ant Colony Optimization algorithm to solve a dynamic traveling salesman problem: A case study with drones for wildlife surveillance. - Sudipta Chowdhury; Mohammad Marufuzzaman; Huseyin Tunc; Linkan Bian; William Bullington (J. Comput. Des. Eng., 2019)

Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model. - Naipeng Li; Nagi Gebraeel; Yaguo Lei; Linkan Bian; Xiaosheng Si (Reliab. Eng. Syst. Saf., 2019)

3D Texture Feature-Based Lymph Node Automated Detection in Head and Neck Cancer Analysis. - Yibin Wang 003; Christian Zamiela; Toms V. Thomas; William N. Duggar; P. Russell Roberts; Linkan Bian; Haifeng Wang (BIBM, 2020)

Toward the digital twin of additive manufacturing: Integrating thermal simulations, sensing, and analytics to detect process faults. - Aniruddha Gaikwad; Reza Yavari; Mohammad Montazeri; Kevin Cole; Linkan Bian; Prahalad K. Rao (IISE Trans., 2020)

Hierarchical spatial-temporal modeling and monitoring of melt pool evolution in laser-based additive manufacturing. - Shenghan Guo; Weihong Guo 001; Linkan Bian (IISE Trans., 2020)

Extracapsular extension identification for head and neck cancer using multi-scale 3D deep neural network. - Yibin Wang 003; William Neil Duggar; Toms V. Thomas; P. Russell Roberts; Linkan Bian; Haifeng Wang (BCB, 2021)

DLAM: Deep Learning Based Real-Time Porosity Prediction for Additive Manufacturing Using Thermal Images of the Melt Pool. - Samson Ho; Wenlu Zhang; Wesley Young; Matthew Buchholz; Saleh A. Al-Jufout; Khalil Dajani; Linkan Bian; Mohammad Mozumdar (IEEE Access, 2021)

In Situ Nondestructive Fatigue-Life Prediction of Additive Manufactured Parts by Establishing a Process-Defect-Property Relationship. - Seyyed Hadi Seifi; Aref Yadollahi; Wenmeng Tian; Haley R. Doude; Vincent H. Hammond; Linkan Bian (Adv. Intell. Syst., 2021)

Drone routing and optimization for post-disaster inspection. - Sudipta Chowdhury; Omid Shahvari; Mohammad Marufuzzaman; Xiaopeng Li; Linkan Bian (Comput. Ind. Eng., 2021)

A Gradient Mapping Guided Explainable Deep Neural Network for Extracapsular Extension Identification in 3D Head and Neck Cancer Computed Tomography Images. - Yibin Wang 003; Abdur Rahman; William Neil Duggar; P. Russell Roberts; Toms V. Thomas; Linkan Bian; Haifeng Wang (CoRR, 2022)

Handheld device formfactor effects on worker productivity during loading tasks: a case study. - Reuben Burch; Lesley Strawderman; Tyler Ross; Linkan Bian; Katherine King; Kari Babski-Reeves; Farjana Nur (Int. J. Serv. Technol. Manag., 2022)

Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review. - Somayeh Bakhtiari Ramezani; Logan Cummins; Brad Killen; Richard Carley; Amin Amirlatifi; Shahram Rahimi 001; Maria Seale; Linkan Bian (IEEE Access, 2023)

A Deep-Learning-Based Surrogate Model for Thermal Signature Prediction in Laser Metal Deposition. - Shenghan Guo; Weihong Guo 001; Linkan Bian; Yuebin Guo (IEEE Trans Autom. Sci. Eng., 2023)

An Integrated Pricing, QoS-Aware Sensor Location Model for Security Protection in Society 5.0. - Mahdi Fathi 001; Mohammad Marufuzzaman; Randy K. Buchanan; Christina H. Rinaudo; Kayla M. Houte; Linkan Bian (IEEE Trans. Engineering Management, 2023)

Adaptive Thermal History De-Identification for Privacy-Preserving Data Sharing of Directed Energy Deposition Processes. - Mahathir Mohammad Bappy; Durant Fullington; Linkan Bian; Wenmeng Tian (J. Comput. Inf. Sci. Eng., 2025)