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AHSANULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY

Department of

Electrical & Electronic Engineering




Ms. Senjuti Rahman



Designation: Lecturer Grade-I

Email: senjuti.eee@aust.edu

Office Extension:

Room No: 421



Research Interests

  • Biomedical Engineering
  • Machine Learning
  • Deep Learning
  • Wireless communication

Educational Background

  • Masters in Engineering (MEngg), (Electrical & Electronic Engineering), Rajshahi University of Engineering &Technology
  • Bachelor in Engineering (BEngg), (Electronics and Telecommunication), Rajshahi University of Engineering &Technology

Honors and Achievements

  • University Gold Medal, Rajshahi University of Engineering & Technology(RUET), 2019
  • Merit based University scholarship, Rajshahi University of Engineering & Technology(RUET), 2016
  • Student of the year, Rajshahi University of Engineering & Technology(RUET), 2014
  • Student of the year, Rajshahi University of Engineering & Technology(RUET), 2013

Publications

  • Deep Learning and Multiclass Machine Learning Classifier Approach for Predicting Primary Tumors, International Journal for Multidisciplinary Research, 2023
  • Different approaches for the Detection of Epilepsy and Schizophrenia Using EEG Signal Analysis, International Research Journal of Engineering and Technology, 2023
  • Prediction of Brain Stroke using Machine Learning Algorithms and Deep Neural Network Techniques, European Journal of Electrical Engineering and Computer Science (EJECE), 2023
  • Classification of Parkinson’s Disease using Speech Signal with Machine Learning and Deep Learning Approaches, European Journal of Electrical Engineering and Computer Science (EJECE), 2022
  • Comparative Analysis of Different Approaches for detecting Epilepsy, International Conference on Recent Progresses in Science, Engineering and Technology (ICRPSET), 2022
  • Methods for Detecting Epilepsy: A Comparative Analysis on Improved Deep Learning Algorithms, 12th International Conference On Electrical and Computer Engineering (ICECE), 2022
  • Machine Learning and Deep Neural Network Techniques for Heart Disease Prediction, 25th International Conference on Computer and Information Technology (ICCIT), 2022
  • Comparative Analysis of Various Methods for Breast Cancer Detection, International conference on 4IR For Emerging Future organized by science & technology sub-committee, Bangladesh Awami League, 2022
  • Various Approaches for Classification of Chronic Kidney Disease, International conference on 4IR For Emerging Future organized by science & technology sub-committee, Bangladesh Awami League, 2022
  • Comparative Analysis of Three Different Microstrip Patch Antennas on the Rat Model, 2nd International Conference on Electrical & Electronic Engineering (ICEEE), 2017
  • Biocompatibility Analysis of a Battery less Back-mountable DBS Device, 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), 2016