Publications
Geothermal Energy & Reservoir Modeling
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Forecasting the Performance of Utah FORGE EGS Reservoir
Geothermics (Under Review), 2026
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Evaluating Performance of Conceptual Discrete Fracture Networks: A Utah FORGE Case Study
Computational Geosciences (Under Review), 2026
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Comparative Evaluation of Crosslinked CMHPG and Slickwater Fracturing Fluids in Enhanced Geothermal Systems
Geothermics (Under Review), 2024
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Periodic Flow-Direction Reversal in EGS: Effects on Cold-Front Evolution and Heat Sweep
ARMA 60th US Rock Mechanics Symposium (Under Review), 2025
1
Tradeoffs Between Planar and Geologic Discrete Fracture Networks for EGS: Insights from Utah FORGE
51st Workshop on Geothermal Reservoir Engineering, Stanford University, 2026
2
Understanding Heat Recovery in EGS: Insights from Gringarten Type Curves and Numerical Simulation
Geothermal Rising Conference, Reno, Nevada, 2025
3
Dynamic Reservoir Modeling of the Utah FORGE Enhanced Geothermal Project Using Fast Marching Method
SPE Energy Transition Symposium, SPE-228338-MS, 2025
4
Simplified Fracture Model for Numerical Simulation of EGS: A Utah FORGE Case Study
50th Workshop on Geothermal Reservoir Engineering, Stanford University, 2025
5
Effect of Fracture Connectivity Between Production and Injection Wells in EGS
ARMA 59th US Rock Mechanics Symposium, ARMA-2025-0106, 2025
6
A Dynamic 2D Borehole Thermal Energy Storage (BTES) Model for Enhanced Computational Efficiency
Case Studies in Thermal Engineering, 75:107054, 2024
7
Performance Analysis of Borehole Thermal Energy Storage Systems using Surrogate Modeling
Renewable Energy, 266:125650, 2026
8
Sensitivity Analysis of Borehole Thermal Energy Storage (BTES): Examining Key Factors for System Optimization
Energy Storage and Savings, 3(3):218–230, 2024
Machine Learning & AI for Engineering Systems
9
Escalating Operator Assurance for Deep Neural Network Fault Detection with Multiple-Steady State Operations
Chemical Engineering Science, 299:120493, 2024
10
Feasibility Analysis in Batch Process: A Machine Learning Approach
Chemical Engineering Transactions, 88:451–456, 2021
11
A Deep Learning Framework to Predict the Consumption of Petroleum Products
16th Conf. on Sustainable Development of Energy, Water and Environment Systems, 2021
12
A Data-Driven Approach to Plan Electricity Production from Diesel Engines with Constrained Parameters
Computer Aided Chemical Engineering, 50:1761–1767, 2021
13
A Study to Target Energy Consumption in Wastewater Treatment Plant using Machine Learning Algorithms
Computer Aided Chemical Engineering, 50:1511–1516, 2021
Mathematical Modeling & Optimization
14
Robust Resource Targeting in Continuous and Batch Process
Clean Technologies and Environmental Policy, 24:273–288, 2022
15
Multi-objective Optimization for Sustainable Production Planning
Environmental Progress and Sustainable Energy, 40(6):e13741, 2021
16
Constrained Production Planning with Parametric Uncertainties
CRC Press, Optimization for Energy Systems and Supply Chains, pp. 133–149, 2022