Sotabase

Career

· Machine Learning Scientist, Ford Motor Company (Current)2025–
· Postdoctoral Researcher, Sandia National Laboratories2020–2024
· Intern R D Fellow Grad, Sandia National Laboratories2018–2019
· Graduate Student Instructor, University of California, Berkeley2018–2018
· Graduate Student Researcher, University of California, Berkeley2014–2020
· Research Assistant, University of Connecticut2013–2014
· Undergraduate Research Assistant, University of Connecticut2012–2012

Publications (11)

Development of an Uncertainty Quantification Predictive Chemical Reaction Model for Syngas Combustion
2017
29
cited
Consistency Analysis for Massively Inconsistent Datasets in Bound-to-Bound Data Collaboration
2017
15
cited
Application of Bound-to-Bound Data Collaboration approach for development and uncertainty quantification of a reduced char combustion model
2018
12
cited
Diagnostics of Data-Driven Models: Uncertainty Quantification of PM7 Semi-Empirical Quantum Chemical Method
2018
10
cited
Does a reduced model reproduce the uncertainty of the original full-size model?
2021
6
cited
Representing Model Discrepancy in Bound-to-Bound Data Collaboration
2019
5
cited
Bayesian calibration of interatomic potentials for binary alloys
2022
4
cited
Scale-Bridging Model Development for Coal Particle Devolatilization
2016
3
cited
Bayesian calibration of interatomic potential models for binary alloys.
2021
1
cited
Resource Buffers in Construction Projects
2020
1
cited
Supporting Information-Diagnostics of Data-Driven Models : Uncertainty Quantification of PM 7 Semi-Empirical Quantum Chemical Method
2018
Sotabase
Arun Hegde | Researcher Profile | Sotabase | Sotabase