Faculty and Staff
Dr. Li, Acting Co-Director, works with faculty members on their activities and responsibilities
Dr. Lopez, Acting Co-Director, will handle all student related activities include on-site and off-site workshops, and Pre-trainee Seminars.
Dr. Arvedson is in-charge of K-12 outreach and education training.
Dr. Eshraghi is one of the research faculty advisors in Mechanical Engineering. Dr. Eshraghi’s research interests are in the areas of Materials Science, Manufacturing, and Computational Modeling. His current research works include Computational Materials Engineering and Additive Manufacturing.
Dr. Guo is one of the research faculty advisors in Computer Science. His research specialty is in Cloud Computing, Big Data, Data Mining, Web-based System, Distributed Object Computing, and Software Architecture.
Dr. Li is one of the research faculty advisors in Remote Sensing and Hydrology. Her research is specialized in remote sensing, precipitation error analysis, image processing, hydrologic modeling, GISbased modeling of watershed-scale processes.
Dr. Lopez is one of the research faculty advisors in Civic Engineering. Her research interest is in developing methods to ascertain the impacts climate variability has on long-term surface and subsurface water, water storage, ecosystems and water quality using novel modeling techniques and the integration of advanced observation data. Performing modeling studies with the inclusion of local sustainable technologies using both physically-based and conceptually-based hydrologic
Dr. Nerenberg is one of the research advisors in Physics & Astronomy and Biological Sciences and one of the pre-trainee mentors. His research group uses molecular dynamics simulations to investigate questions related to the structure and thermodynamics of proteins, nucleic acids, and other biomolecules.
Dr. Pourhomayoun is one of the research faculty advisors in Computer Science. His research interests include data science, predictive analytics/big data analytics, artificial intelligence, machine learning in image and video processing, artificial neural networks and deep learning, and risk prediction for healthcare and medical applications.
Dr. Terebey is one of the research faculty advisors in Applied Astronomy. Her research is in both observation and theory of star and planet formation, protostellar disks and winds, the interstellar medium, and Galactic structure. Extensive experience with computational physics, radio interferometers, infrared satellite data, near-infrared imaging and image reconstruction techniques.