Research Group


EISA Group

Graduate Programs include: EES, Informatics, EHHE and SRIS           Photo taken at 2015/10


Barbara Minsker

My Research interests are to develop innovative systems approaches to improve sustainability and resilience of coupled human and natural systems.

See more in CV

  • Contact information

Current students

PhD students

Erhu Du

Environmental systems modeling,
Water markets


2016, Ph.D. Environmental Engineering and Science, CEE, UIUC
2011, M.S. Municiple Engineering, Southeast University, China
2009, B.S. Water supply and drainage Engineering, Southeast University, China.
Wenzhao Xu

Spatial analysis, Geostatistics


2016, Ph.D. Environmental Engineering and Science, CEE, UIUC
2012, M.S. Hydraulic Engineering, Tsinghua University, China
2010, B.S. Hydraulic and Hydropower Engineering, Tsinghua University, China


Samuel Rivera

Data Mining, Machine learning,
Geostatistics, Sustainable Systems


2017, Ph.D. Sustainable and Resilient Infrastructure Systems, CEE, UIUC
2013, M.S. Sustainable and Resilient Infrastructure Systems, CEE, UIUC
2011, B.S. Civil Engineering, University of Puerto Rico - Mayaguez Campus, Puerto Rico



2017, Ph.D. Sustainable and Resilient Infrastructure Systems, CEE, UIUC
2013, M.S. Environmental Engineering and Science, CEE, UIUC
2011, B.S. Water Supply and Drainage Engineering, Tongji University, China


Bardia Heidari

Green stormwater infrastructure,
Environmental systems simulation, Optimization


2018, Ph.D. Sustainable and Resilient Infrastructure Systems, CEE, UIUC
2014, M.S. Civil Engineering, Virginia Tech, USA
2012, B.S. Civil Engineering, Sharif University of Technology, Iran

Ankit Rai

Machine Learning, Computer Vision
Data Mining, Computational Statistics


2017, Ph.D. Informatics, UIUC
2013, M.S. Civil Engineering, UIUC
2009, B.Tech. in Civil Enginnering, VIT, Vellore
2009, B.Tech. in Information Technology, VIT, Vellore


Kangjae Lee

GIS, Environmental Health


2017, Ph.D. Informatics, UIUC
2013, M.S. Geoinformatics, University of Seoul, South Korea
2011, B.S. Geoingormatics, University of Seoul, South Korea

Morteza T. Marvi

Risk analysis, Infrastructure Resiliency,
Disaster Recovery


2019, Ph.D. Societal Risk Management, CEE, UIUC
2015, M.S. Civil Engineering, UIUC
2012, B.S. Civil Engineering, University of Tehran, Iran


Xu Lin (visiting scholar)

Reservoir operation, Water markets


2017, Ph.D. Hydraulic Engineering, Tsinghua University, China
2014, M.S. Hydrology and Water Resources, IWHR, China
2011, B.S. Hydraulic and Hydropower Engineering, Tsinghua University, China



MS students

Jayant Ahalawat

Machine Learning, Predictive Analytics,
Data mining


2016, M.S. Environmental Hydrology and Hydraulics Engineering, CEE, UIUC
2010, B.E. Civil Engineering, BITS-Pilani, India


Undergraduate students

Yicheng Sun

Computer Vision


2016, B.S. Computer Science, UIUC
Rebecca Ventura

Optimization, Genetic algorithms,
Green stormwater infrastructure


2017, B.S. Civil and Environmental Engineering, UIUC


Past Students

2014
Tingting Zhao(M.S). Thesis: Enabling Real-Time Water Decision Support Services Using Model as a Service

2013
Evan Coopersmith (Ph.D). Thesis: Virtual Sensors for Real-Time Agricultural Decision Making
Andrea Zimmer (Ph.D). Thesis: Hydraulic modeling and evolutionary optimization for enhanced real-time decision support of combined sewer overflows
Ankit Rai (M.S). Thesis: Green Stormwater Infrastructure Design for Human and Ecosystem Wellbeing
Samuel Rivera (M.S). Thesis: Tracking Sustainability Indicators through Text Mining

2012
Tristan Wietsma(M.S). Thesis: Adaptive Sampling for Multiscale Environmental Sensing Networks

2011
Wesley Dawsey (M.S). Thesis: Bayesian Belief Networks
Brian Payne (M.S). Thesis: Assessing and Improving Watershed Sustainability: A Model-Based Approach

2010
Indu Chinta (M.S). Thesis: Model Fusion for improving Hypoxia Forecasts: A Study of Boosting and Historical Scenario Modeling

Before 2010
Gayathri Gopalakrishnan (Ph.D). Thesis: Subsurface Monitoring with Trees
Abhishek Singh (Ph.D). Thesis: Inverse Groundwater Modeling Using Interactinve Evolutionary Optimization
David Hill (Ph.D). Thesis: Machine Learning for Environmental Monitoring and Modeling
Meghna Babbar (Ph.D). Thesis: Interactive Genetic Algorithm: A Human-Computer Framework for Improving Groundwater Monitoring Designs
Shenquan Yan (Ph.D). Thesis: An Adaptive Meta-Model Approach to Optimizing Groundwater Remediation Design with Genetic Algorithms
Felipe Espinoza (Ph.D). Thesis: A Self-Adaptive Hybrid Genetic Algorithm For Optimal Groundwater Remediation Design
Patrick Reed (Ph.D). Thesis: Striking the Balance: Long-Term Groundwater Monitoring Design for Multiple Conflicting Objectives
Yong Liu (Ph.D). Thesis: Multiscale Approach to Optimal Control of In-Situ Bioremediation of Groundwater

Andrew Collier (M.S). Thesis: Real-Time Environmental Visualization for Diverse User Communities
Evan Coopersmith (M.S). Thesis: Statistical and Machine Learning Approaches to Understanding Hypoxia in Corpus Christi Bay
Aniruddha Bhagwat (M.S). Thesis: Preliminary Cyberinfrastructure Needs Assessment and Technology Review for CLEANER
Matthew Zavislak (M.S). Thesis: Constraint Handling in Groundwater Remediation Design with Genetic Algorithms
Dara Farrell (M.S). Thesis: Data Mining to Improve Management and Reduce Costs Associated with Environmental Remediation
Eva Sinha (M.S). Thesis: Multiscale Island Injection Genetic Algorithms for Groundwater Remediation
Abhishek Singh (M.S). Thesis: Uncertainty Based Multi-Objective Optimization Of Groundwater Remediation Design
Rachel Arst (M.S). Thesis: Which are Better, Probabalistic Model-Building Genetic Algorithms (PMBGAs) or Simple Genetic Algorithms (SGAs)? A Comparison for an Optimal Groundwater Remediation Design Problem
Meghna Babbar (M.S). Thesis: Multiscale Parallel Genetic Algorithms for Optimal Groundwater Remediation Design
William Michael (M.S). Thesis: Integrating Data Sources to Improve Long-Term Monitoring and Management: A Hierarchical Machine Learning Approach
Gayathri Gopalakrishnan (M.S). Thesis: Optimal Sampling in a Noisy Genetic Algorithm for Risk-Based Remediation Design
Patrick Reed (M.S). Thesis: Cost Effective Long-Term Groundwater Monitoring Design Using a Genetic Algorithm and Global Mass Interpolation
J. Bryan Smalley (M.S). Thesis: Risk-Based In Situ Bioremediation Design Using a Noisy Genetic Algorithm
Jeremy Kosegi (M.S). Thesis: A Feasibility Study of Thermal In Situ Bioremediation of Dense Nonaqueous Phase Liquids

See more details in CV
See thesis in here