Siamak Aram

Siamak Aram, PhD

Adjunct Professor

Academic Degrees

PhD – Computer Networks – Politecnico di Torino
MSc – Information Technology – Sharif University of Technology
BSc – Computer science software – Zanjan Azad University
AS (Associated of Science) – Computer science software – Iran Industries Research Higher Education University

Areas of Interest in Data Science

AI, Machine Learning, Deep Learning, Big Data and Cloud Computing.


Dr. Aram earned a BS degree in Software Engineering. In December 2007, he was awarded the first prize in the student passive robotic contest organized by Sharif University. Later, he graduated from Sharif University of Technology with an MS degree in Information Technology Engineering – Data Security & Networking in 2010.

Dr. Aram received a PhD in Computer and Control Engineering from the Polytechnic University of Turin in Italy in 2015. He received the best thesis award in “Energy Saving in Smart Sensor Networks for Smartphones.” He was also a Politecnico di Torino’s Academic Senate member and Ph.D. representative at the Council of the Doctorate School. In 2014, he commenced scientific work at Howard University in Washington D.C. as a visiting scholar. In addition, Dr. Aram continued with focused work on data analysis and data mining for healthcare and environmental applications.

Along with teaching in USD’s Applied Data Science program, Dr. Aram’s interests include the following fields of study: Analyzing brain behavior using deep learning/machine learning techniques by neuroimaging techniques, such as fNIRS o Current Project; A Deep Learning Approach to Find the Correlation Between Addiction Behavior in Gaming and Brain Activation Using Functional Near-Infrared Spectroscopy, in Collaboration with NIH Environmental monitoring/remote sensing using deep learning/machine learning applications. o Current Project; SRBC Monitoring Dashboard system, in collaboration with HU Center for Environment, Energy and Economy, Susquehanna River Basin Commission (SRBC) and RiverStewards.


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