Faculty Members (Department of Computer Science & Engineering )

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Personal Info


Saeka Rahman

B. Sc. in Applied Physics, Electronics and Communication Engineering, University of Dhaka, Bangladesh
M.Sc. in Applied Physics, Electronics and Communication Engineering, University of Dhaka, Bangladesh
M. Sc. in Artificial Intelligence Major in Engineering and Computer Science, Katholieke Universiteit Leuven (KU Leuven), Belgium

Assistant Professor, Department of Computer Science & Engineering

Contact Info


Email: saeka@isu.ac.bd
Telephone: +8809613737373

Ms. Saeka Rahman completed M.Sc. in Artificial Intelligence majoring Engineering and Computer Science from KU Leuven, Belgium which is 48th of the world university ranking. Prior to this, she completed her Honors and Masters from the University of Dhaka in 2006 and 2007 respectively. Academic training, research and teaching experience in the relevant field have prepared Ms. Rahman to be an effective faculty in the CSE department. Her current research interest is in the area of Artificial Intelligence – particularly machine learning, data mining.

  • Saeka Rahman, Dr. Md. Anwar Rahman, ‘Assessment of Hamilton-Tompkins Algorithm in a Noise Contaminated ECG Signal Environment’, International Journal of Emerging Science and Engineering (IJESE) ISSN: 2319–6378, Volume-1, Issue-10, August 2013
  • Fahmida Sultana, Saeka Rahman, Dr. Md. Adnan Kiber, ‘Design and Development of Wearable Wireless ECG System’, Journal on Business and Technology, Vol. 5, No. 1, December, 2012, pg 130-134.
  • Saeka Rahman, Mohammad Anwar Rahman, ‘Assessment of Reliability of Hamilton-Tompkins Algorithm to ECG Parameter Detection’ presented in International Conference on Industrial Engineering and Operations Management held in Istanbul, Turkey on July 3 – 6, 2012.
  • Fahmida Sultana, Saeka Rahman, ‘Development of Wearable, wireless ECG System’ presented in International Conference on Women in Science, Engineering and Technology: Local and Global Perspective (ICWSET-2012) Dhaka, Bangladesh held at 2-4 February, 2012.

  • First Prize Winner in International Conference on Industrial Engineering and Operations Management held in Istanbul, Turkey, 2012
  • Awarded Technical Scholarship from Dhaka Education Board, 2000-2004

  • M. Sc. in Artificial Intelligence Major in Engineering and Computer Science
    Katholieke Universiteit Leuven (KU Leuven), Belgium
  • M.Sc. in Applied Physics, Electronics and Communication Engineering
    University of Dhaka, Bangladesh
  • B. Sc. in Applied Physics, Electronics and Communication Engineering
    University of Dhaka, Bangladesh

  • Worked as part time lecturer (taught courses on Information Technology and Business Statistics) at ASA University, Dhaka in 2008
  • Worked as part time lecturer (taught Information Technology course) at Asian University Bangladesh, Dhaka in 2007
  • Voluntarily worked as teaching assistant at AMYN center, Brisbane, Australia in 2009-2010
  • Master’s Thesis ‘Good Engineers: Who are they, what do they do, what occupies them? Data mining for engineering positioning test’: In this research automated data mining techniques (using WEKA) have been used in combination with interactive data visualization to search for interesting hypothesis from the vast amount of data of the engineering positioning test held in KU Leuven, Belgium.
  • Master’s thesis ‘Assessment of ECG parameter detection algorithms’: This research provides the accuracy and reliability of several ECG detection algorithms using MATLAB and also provides comparative analysis among the algorithms.
  • Bachelor’s project ’Development of wearable, wireless ECG system’: Provides a design of a miniaturized low power wearable wireless ECG system. It develops the ECG amplifier having variable gain and transmitter part of the complete system.

  • Programming Language (C, Java)
  • Artificial Intelligence
  • Information Technology
  • Data Mining
  • Machine Learning
  • Digital Signal Processing
  • Electronics
  • Brain Computer Interface
  • Computer Information System

  • Artificial Intelligence
  • Data Mining
  • Machine Learning