Biography

Siamak Aram, Ph.D., 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.

 

In 2015, Dr. Aram received a PhD in Computer and Control Engineering from the Polytechnic University of Turin in Italy. His main project in Turin was dedicated to Low Power Wireless Sensor Networks using Neural Network techniques. It was carried out in the premises of the Neuronica Laboratory. Also, he received the best thesis award in “Energy Saving in Smart Sensor Networks for Smartphones”. Along with his scientific activities, he was also a Politecnico di Torino’s Academic Senate member and PhD 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.

 

Dr. Aram continued to pursue work in computer science, focusing on data analysis and data mining for healthcare and environmental applications. Positions he held in this field for three years include a collaborator researcher at the Eunice Kennedy Shriver National Institute of Child Health and Human Development at the National Institutes of Health (NIH), a postdoctoral fellowship at the University of Maryland School of Medicine’s Clinical and Translational Research Informatics Center (UMB – CTRIC), and a postdoctoral research position at the Energy Efficient High Performance Computing Lab at the University of Maryland (UMBC). As an expert in the field of computer science/machine learning, Dr. Aram continues his research on improving data used in healthcare and environmental applications.

 

Additionally, throughout his time working in the field, Dr. Aram has built an impressive record of publications. He is also active in the scientific community as a peer reviewer for highly acclaimed journals. Currently, Dr. Aram’s interests are mainly focus on two fields:

Academic Positions

  • Present2018

    Assistant Professor

    Harrisburg University of Science and Technology

  • 20182017

    Postdoctoral Researcher

    University of Maryland Baltimore County

  • 20172015

    Postdoctoral Fellow

    University of Maryland

Education & Training

  • Ph.D. 2015

    Ph.D. in Computer and Control Engineering

    Politecnico di Torino Turin Italy.

  • M.S 2009

    M.S. in Information Technology Engineering – Data Security & Networking,

    Sharif University of Technology

  • B.A. 2006

    B.S. in Computer Science – Software

    Zanjan Azad University

Awards and Grants

  • 2018
    Harrisburg University of Science and Technology Presidential Research Grant
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    A Deep Learning Approach to Find the Correlation Between Addiction Behavior in Gaming and Brain Activation Using Functional Near-Infrared Spectroscopy
  • 2018
    Harrisburg University of Science and Technology Presidential Research Grants
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    SRBC Monitoring Dashboard System
  • 2015
    Politecnico di Torino Best Thesis Award
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Current Projects

  • Analyzing brain behavior using deep

    Analyzing brain behavior using deep learning/machine learning techniques by neuroimaging techniques, such as fNIRS

    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

    Environmental monitoring/remote sensing using deep learning/machine learning applications.

    SRBC Monitoring Dashboard system, in collaboration with HU Center for Environment, Energy and Economy, Susquehanna River Basin Commission (SRBC) and RiverStewards.

    Courses Taught at HU:

    • present 2018

      Machine Learning I

      Harrisburg university of science and technology

    • present 2018

      Machine Learning II (Deep learning)

      Harrisburg university of science and technology

    • present 2018

      Analytical Methods II

      Harrisburg university of science and technology

    • present 2018

      Functional Programing Methods for Analytic

      Harrisburg university of science and technology