Track 4: HU Research | Room: 1302
Sridhar Ravula, PhD Student, Harrisburg University
Pranita Patil, PhD Student, Harrisburg University
Siamak Aram, Assistant Professor, Harrisburg University

Streamlined access to data makes forecasting, monitoring, and timely actions much easier for any organization. In business, education, or even environmental protection, quick access to data can mean the difference between achieving and not achieving a central goal. For the Susquehanna River Basin Commission (SRBC), data is key to the commission’s core mission, which is to enhance public welfare through comprehensive planning, water supply allocation, and management of the water resources of the Susquehanna River Basin. River basin management involves multiple stakeholders and scientific management requires significant forecasting capabilities. Our team is working to build the requisite dashboards. In our work, we will combine data mining, deep learning techniques and visualization to identify relationships between various environmental parameters and indicators and present them to facilitate better decision making. This will help to develop decision-support tools/methods for governments and businesses, that help them make better, informed, pragmatic and more effective decisions.

Sridhar is currently pursuing Phd in data science at Harrisburg university. His research interests are applications of Natural Language processing and AI in the domains of Cybersecurity, Environment, Finance and Healthcare.
Pranita Patil is a Research Fellow and Ph.D. student at Harrisburg University of Science and Technology (HU). She earned her M.S. in electrical & computer engineering at Oklahoma State University and M.S. in Analytics at HU. After 4 years of industrial experience in deep and machine learning, Pranita returned to pursue a doctoral degree in Data Science at HU. In the past decades, she has published work notably in the deep learning field. She is currently working on different research projects such as detection of Parkinson’s disease using deep learning, SRBC signal to noise, and SRBC environmental monitoring project. She wishes to help the community through her research and knowledge.
 Dr. Siamak Aram is Assistant Professor of Computer Science and Data Analytics at Harrisburg University of Science and Technology. Dr. Aram received his B.S. degree in Software Engineering. In December 2007, he was awarded the first prize in the student passive robotic contest organized by Sharif University. Later on, he graduated from Sharif University of Technology with an M.S. degree in Information Technology Engineering – Data Security & Networking in 2010. Also, during these years, Siamak Aram was a computer developer in different languages and with different platforms, from desktop to mobile applications.