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Atharva Hans
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Journal Articles

A Bayesian Hierarchical Model for Extracting Individuals’ Theory-Based Causal Knowledge

Atharva Hans, Ashish M. Chaudhari, Ilias Bilionis, Jitesh H. Panchal
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2023, 23(3): 031011.
Paper No: JCISE-22-1201
https://doi.org/10.1115/1.4055596
Published Online: December 12, 2022
View Article titled, A Bayesian Hierarchical Model for Extracting Individuals’ Theory-Based Causal Knowledge
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Topics: Modeling, Probability, Students, Testing, Design, Fatigue analysis, Uncertainty, Engineering education
Proceedings Papers

A Mixed-Method Analysis of Schedule and Cost Growth in Defense Acquisition Programs

Atharva Hans, Ashish M. Chaudhari, Ilias Bilionis, Jitesh H. Panchal
Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A043, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-71517
https://doi.org/10.1115/DETC2021-71517
View Paper titled, A Mixed-Method Analysis of Schedule and Cost Growth in Defense Acquisition Programs
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Topics: Defense industry, Databases, Delays, Design, Governments, Modeling, Weapons
Proceedings Papers

Quantifying Individuals’ Theory-Based Knowledge Using Probabilistic Causal Graphs: A Bayesian Hierarchical Approach

Atharva Hans, Ashish M. Chaudhari, Ilias Bilionis, Jitesh H. Panchal
Proc. ASME. IDETC-CIE2020, Volume 3: 17th International Conference on Design Education (DEC), V003T03A014, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22613
https://doi.org/10.1115/DETC2020-22613
View Paper titled, Quantifying Individuals’ Theory-Based Knowledge Using Probabilistic Causal Graphs: A Bayesian Hierarchical Approach
Open the PDF for Quantifying Individuals’ Theory-Based Knowledge Using Probabilistic Causal Graphs: A Bayesian Hierarchical Approach in another window
Topics: Decision making, Design, Engineering students, Probability, Scalars, Students