director

Dr. Shin is an assistant professor at the School of Civil, Environmental and Infrastructure Engineering at Southern Illinois University Carbondale (SIU). He received his PhD in water resources engineering from the Korea Advanced Institute of Science and Technology (KAIST) in 2015 and served as a post-doctoral research associate in the Department of Civil and Environmental Engineering at the University of Utah (2016-2020). Within his diverse research interests, his primary research foci are understanding the resilience and sustainability effects of 1) system diversification and decentralization and 2) feedback interactions across the water system components and their interconnected sectors under complex, uncertain circumstances. 

Key components of my research program include 1) water cyber-physical system, 2) water microgrids systems, 3) integrated water infrastructure management, 4) multidimensional and consequence-based resilience, 5) climate and socio-hydrology, 6) urban water-energy nexus, 7) multi-objective optimization, and 8) system dynamics. 

His teaching courses at the SIU are Fluid Mechanics (ENGR 370), Groundwater Hydrology (CE 471), Open Channel Hydraulics (CE 472), Hydrologic Analysis and Design (CE 473), and Water Resources Engineering (CE 474 / CE571).

Linkedin: https://www.linkedin.com/in/sangmin-shin-water/  

Email:  sangmin.shin@siu.edu 

CURRENT Members

Next-gen water systems | Water microgrids | Ecohydrology | Hydraulic modeling | Data science

Arif obtained his bachelor's degree in Civil Engineering from Rajshahi University of Engineering and Technology (RUET) and his master's degree in Applied Statistics and Data Science from Jahangirnagar University, both located in Bangladesh. With four years of relevant experience in research and development industries at national and international organizations, he currently serves as a graduate research assistant at the School of Civil, Environmental, and Infrastructure Engineering. Arif's research interests include next-gen water systems, socio-environmental hydrology, water-sensitive urban development, and water dynamics in climatic emergencies. Currently, he is engaged in an NSF-funded project aimed at designing and constructing sustainable and resilient water microgrid systems, as well as the SIU Green Fund project focusing on anomaly detection using machine learning models. 

Linkedin: https://www.linkedin.com/in/arifhasnat92/   

Email: arif.hasnat@siu.edu  

Hydraulic and hydrologic design | Water microgrids | Hydraulic modeling | Machine learning | Data science

Amir obtained his bachelor's degree in Water Engineering from Sari Agricultural Sciences and Natural Resources University (SANRU) in Iran and later earned his master degree in Civil and Environmental Engineering degree from the University of Utah. He currently works as a graduate research assistant at the School of Civil, Environmental and Infrastructure Engineering, where he contributes to cutting-edge research in water systems engineering. Amir's research interests focus on hydraulic and hydrologic design, as well as the innovative use of machine learning techniques to enhance water resource management. His work includes modeling and analyzing water systems to improve their efficiency, sustainability, and resiliency. Currently, he is engaged in an NSF-funded project aimed at designing and constructing sustainable and resilient water microgrid systems. This project seeks to revolutionize how hybrid water systems operate, ensuring that they can withstand environmental challenges and continue to provide reliable service during disruptions.  

Linkedin: https://www.linkedin.com/in/amir-kashani-b925b7269/   

Email: Amirmahdi.ghanaatikashani@siu.edu    

Water demand forecast | Machine learning | Water microgrids | Hydraulic modeling

Kriti is a graduate student in the School of Civil, Environmental and Infrastructure Engineering at Southern Illinois University Carbondale. She holds a bachelor's degree in Civil Engineering from Tribhuvan University and possesses significant experience in the water industry. Her current research interests lie in the domain of human-water interactions, dynamic water body management, and smart water distribution systems. Currently working as a Graduate Research Assistant, she is engaged in an NSF-funded project, designing and implementing sustainable and resilient water systems. She is also setting up a lab-scale model for a decentralized water distribution system, integrating digitalization strategies to achieve sustainability and resilience. Additionally, she is also actively involved in the SIU Green Fund project where she utilizes machine learning techniques to predict the water demand. Outside of her academic pursuits, Kriti also practices mindfulness and meditation to maintain balance amidst her research commitments. An avid reader, Kriti also delves into literature that explores human connection with the environment and nature.

Linkedin: https://www.linkedin.com/in/kriti-acharya  

Email:  kriti.acharya@siu.edu 

Data science | Machine learning | Deep learning | Big data

Veerendra, currently a Research Assistant in the School of Civil, Environmental, and Infrastructure Engineering at Southern Illinois University Carbondale, comes with a rich background in Computer Science Engineering from B V Raju Institute of Technology, India, and a professional stint as a Data Analyst at MassMutual Global Capability Centre, India. Pursuing his Master's in Computer Science, his research interests span across machine learning, data analysis, and big data. Currently, he plays a pivotal role in the SIU Green Fund Project, focusing on machine-learning-based demand forecasting and anomaly detection models, showcasing his expertise in handling complex data-driven challenges in environmental sustainability.

Linkedin: https://www.linkedin.com/in/veerendra-reddy-ayaluri-11328b1b0/ 

Email: veerendrareddy.ayaluri@siu.edu

ALUMNI