The primary goal of the iWERS group is to develop innovative techniques to improve informed management of integrated water and environmental resources using systems and artificial intelligence approaches.
We explore alternatives beyond utilization of existing structures and the physical limits of water resources systems to include technical, social, political, and economic aspects for better resource management. We build complex quantitative and computational models with the purpose of providing enhanced knowledge needed to better understand interactions in coupled human-natural systems and water-energy-food nexus, and how they are shaped by external forces.
We welcome undergraduate and graduate students, visiting scholars and postdocs who are motivated, talented, and hardworking to join our research group. Please look at the current projects and research webpages of iWERS to find out more about our interests. Prospective students should have a strong interest in integrated water resources management, hydrology, systems analysis and modeling, and computer science. Prospective candidates are strongly encouraged to contact Dr. Goharian with providing your updated resume. Opportunities are available year-round!
Dr. Goharian was named SC Young Civil Enginner of the Year by ASCE South Carolina section for his demonstration of most outstanding contribution to the profession of Civil Engineering in South Carolina.21. April 2021
Ahad received the 2021 Deepal S. Eliatamby Endowed Fellowship based on his demonstration of academic excellence. Congratulations, Ahad!8. April 2021
Farboud was chosen as the reciepient of 2021 Lauren E. Brubaker Carolinian Award for exemplifying the qualities of the Carlinian Creed. Many thanks to his nominators, motivators, and the Leadership and Service center at UofSC.4. May 2020
Carly received the University of South Carolina’s outstanding undergraduate research award for her contribution in research throughout her college career. Congratulations Carly!11. February 2020
In an interview with Carolina News and Reporter, Erfan Goharian and Song Wang, engineering professors at University of South Carolina, explained how their research can help reduce the risks associated with flooding by building a flood prediction and early warning system for the Midlands using the latest artificial intelligence technology.30. January 2020
Erfan Goharian and Song Wang at the University of South Carolina College of Engineering and Computing have been awarded a grant to develop an image dataset of water objects from Microsoft AI for Earth.Tweets by iWERS_UofSC