Sotabase

Career

· Associate Professor, University of Illinois at Urbana-Champaign2022–
· Assistant Professor, University of Illinois at Urbana-Champaign2016–2022
· Postdoctoral Research Fellow, University of Michigan, Department of Mechanical Engineering2016–2016

Publications (0)

Enhancing Sustainability and Energy Efficiency in Smart Factories: A Review
Sustainability · 2018
143
cited
Feature selection for manufacturing process monitoring using cross-validation
2013
126
cited
Fouling modeling and prediction approach for heat exchangers using deep learning
2020
87
cited
Federated learning-based semantic segmentation for pixel-wise defect detection in additive manufacturing
Journal of manufacturing systems · 2022
86
cited
Iterative multi-task learning for time-series modeling of solar panel PV outputs
2018
72
cited
Extreme Anti-Scaling Performance of Slippery Omniphobic Covalently Attached Liquids.
ACS Applied Materials and Interfaces · 2020
71
cited
Characterization of Ultrasonic Metal Welding by Correlating Online Sensor Signals With Weld Attributes
2014
68
cited
Robust Deep Learning-Based Diagnosis of Mixed Faults in Rotating Machinery
IEEE/ASME transactions on mechatronics · 2020
64
cited
Tool Wear Monitoring for Ultrasonic Metal Welding of Lithium-Ion Batteries
Journal of manufacturing science and engineering · 2015
54
cited
Online tool condition monitoring for ultrasonic metal welding via sensor fusion and machine learning
2021
52
cited
A federated learning approach to mixed fault diagnosis in rotating machinery
Journal of manufacturing systems · 2023
50
cited
Online process monitoring with near-zero misdetection for ultrasonic welding of lithium-ion batteries: An integration of univariate and multivariate methods
2016
49
cited
Multi-task learning for data-efficient spatiotemporal modeling of tool surface progression in ultrasonic metal welding
2021
47
cited
A Greedy Agglomerative Framework for Clustered Federated Learning
IEEE Transactions on Industrial Informatics · 2023
44
cited
Progressive measurement and monitoring for multi-resolution data in surface manufacturing considering spatial and cross correlations
2015
42
cited
Improving Machined Surface Shape Prediction by Integrating Multi-Task Learning With Cutting Force Variation Modeling
2017
41
cited
Improving process robustness in ultrasonic metal welding of lithium-ion batteries
Journal of manufacturing systems · 2018
38
cited
Using machine learning to predict dimensions and qualify diverse part designs across multiple additive machines and materials
Additive Manufacturing · 2022
37
cited
Analyzing part accuracy and sources of variability for additively manufactured lattice parts made on multiple printers
2021
31
cited
Data-Driven Intelligent 3D Surface Measurement in Smart Manufacturing: Review and Outlook
2021
29
cited
Sotabase