*I am looking for motivated undergraduate and graduate students as well as visiting scholar to join my group. If you are interested, please contact me. 

update: 5/11/2025

News:

• New supplemental grant from NSF for three graduate student's internships working on geothermal energy in RESPEC: RII Track-4: Inverse methods of Hydraulic Fracturing for enhanced geothermal systems in a deep mine.

• New grant from NSF: REU site: Lithium Sustainability, Mining, Recycling, and Technology (Li-SMART)

• Dr. Li has been appointed as an associate editor of Advances in Water Resources journal

• New publication in Mathematical Geosciences: Optimization of Borehole Thermal Energy Storage Using Genetic Algorithm

• New supplemental grant from NSF for two graduate student's internships working on geothermal energy in RESPEC: RII Track-4: Inverse methods of Hydraulic Fracturing for enhanced geothermal systems in a deep mine.

• New publication in Advances in Water Resources: Leveraging deep learning with progressive growing GAN and ensemble smoother with multiple data assimilation for inverse modeling.

• New grant from BLM: South Dakota School of Mines' internship at BLM Montana-Dakota

• New grant from BLM: Environmental monitoring and water-quality sampling at the abandoned Belle Eldridge Mine site.

• Dr. Li has been appointed as an associate editor of Mathematical Geosciences journal

• New publication in Advances in Water Resources: Stochastic Inversion of Discrete Fracture Networks Using Genetic Algorithms 

• New publication in Hydrogeology journal: Progressive Growing Generative Adversarial Networks Using Conditioning Ratio for Facies Modeling in Complex Aquifers

• New supplemental grant from NSF for a graduate student's internship working on geothermal energy in RESPEC: RII Track-4: Inverse methods of Hydraulic Fracturing for enhanced geothermal systems in a deep mine

• New publication in Mathematical Geosciences: Teaching Groundwater Flow and Contaminant Transport Modeling via a Sand-Tank Model

• New publication in Mathematical Geosciences: Variational Autoencoder or Generative Adversarial Networks? A Comparison of Two Deep Learning Methods for Flow and Transport Data Assimilation

• Dr. Li has been promoted to Associate Professor with tenure

• New publication in Frontiers in Eearth Sciences: Stochastic Modeling in Hydrogeology

• New publication in Mathematical Geosciences: Special Issue: IAMG 2019

• New publication in Journal of Hydrology:  Coupling ensembel smoother and deep learning with generative adversiral networks for handling non-Gaussianity in flow and transport data assimilation

• New publication in Advances in Water Resources: A novel method for well placement design in groundwater management: extremal optimization

• New grant from NSF: RII Track-4: Inverse methods of Hydraulic Fracturing for enhanced geothermal systems in a deep mine

• New publication in Mathematical Geosciences: A comparison of extremal optimization, differntial evolution and particle swarm optimization methods for well placement dsign in groundwater management

• New publication in Journal of Hydrology: Bridging iterative ensemble smoother and multiple-point geostatistics for better flow and transport modeling

• New publication in Groundwater: Calibration of a land subsidence model using InSAR data via ensemble Kalman filter