Behrooz Etesamipour

Name

Contact Information

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Education

Doctoral Candidate
Doctor of Science (D.Sc.) Candidate in Information Technology,
Towson University, Maryland

Master of Science (M.S.) in Applied Information Technology,
Towson University, Maryland

Post-Baccalaureate Certificate in Information Security and Assurance,
Towson University, Maryland

Bachelor of Science (B.S.) in Information Systems,
University of Maryland Baltimore County (UMBC), Maryland

Areas of Expertise

Fuzzy Logic, Decision Support Systems, Computer Networks, IT Infrastructure Systems Analysis,
Project Management, Design and Implementation of Information Systems

Biography

Behrooz is a Lecturer in the Department of Computer & Information Sciences at Towson University. He has been teaching variety of undergraduate classes in the fields of Computer and Information Sciences at Towson University since Fall 2012; classes such as Information and Technology for Business, Metropolitan Information Technology Infrastructure, Computers and Creativity, General Computer Science, and Fundamentals of Computer Networks.

Behrooz always tried to blend the value of theoretical and practical knowledge by practicing and working in business and industry side as well as performing research and teaching in academic and research environment. Behrooz has vast working experience in many companies ranging from small business to enterprise level over the past several years. Working in a business environment as an IT professional led him to have a deeper understanding of IT concepts and feel the unexpected challenges in real life Information Systems.

Behrooz’s goal is to combine his range of work experience with his academic theoretical studies and research to be an enthusiastic instructor who will make a positive contribution to Towson University.

Research:

  • Doctoral research focuses on a Fuzzy Logic application for Value of Information (VoI) architecture to develop an automated methodology for determining the overall VoI for multiple pieces of Complementary/Contradictory information that relate to the same situation or event. Fuzzy Logic System, Bayesian Reasoning, Expert Opinion Aggregation, Subject Matter Expert (SME)
  • Early diagnosis and detection of Alzheimer’s disease using a Fuzzy Logic system. Discovering more reliable, precise, and automated ways to perform early detection and treatment of Alzheimer’s disease. Fuzzy Logic methods will provide additional supporting schemes for medical doctors’ examination procedures in which to output reliable result for determining Alzheimer’s disease as early as possible.
  • Studying a Fuzzy Logic system with using Biomarkers and considering the level of Beta-Amyloid Protein in brain and possibly adding more data values from patients’ related medical records for more accuracy on early detection of the Alzheimer’s disease.