KHALEDA AKHTER
SATHI
ECE Graduate Student
Chittagong University of Engineering & Technology
Chittagong-4349, Bangladesh
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Currently, I am serving as an Assistant Professor at Chittagong University of Engineering & Technology, (CUET), Bangladesh. Before that, I completed my undergraduate from Rajshahi University of Engineering & Technology, (RUET), Bangladesh, in Sep 2019.

My primary research interest lies somewhere between Deep Learning and Brain Stimulation. Particularly, the endeavor includes developing the database related to the magnetic neuromodulation technique (i.e., TMS) as well as building the computational model to predict its outcome prior to treating neurological disorders such as Parkinson's, Depression, Epilepsy, Traumatic Brain Injury, etc.

Besides, the secondary interest intersects between Medical Image Processing and Deep Learning. Where developing new computational models is concerned with focusing on dataset features for performing classification and regression tasks.

RESEARCH

Brain Stimulation

Attention-assisted hybrid 1D CNN-BiLSTM model for predicting electric field induced by transcranial magnetic stimulation coil

Khaleda Akhter Sathi, Md. Kamal Hosain, Md.Azad Hossain, Abbas Z. Kouzani
Scientific Reports 2023 | Nature Portfolio

ViTab Transformer Framework for Predicting Induced Electric Field and Focality in Transcranial Magnetic Stimulation

Barna Ghosh, Khaleda Akhter Sathi, Md. Kamal Hosain, Md.Azad Hossain, M. A. Dewan, Abbas Z. Kouzani
Transactions on Neural Systems and Rehabilitation Engineering 2023 | IEEE

A Deep Neural Network Model for Predicting Electric Fields Induced by Transcranial Magnetic Stimulation Coil

Khaleda Akhter Sathi, Md. Azad Hossain, Md. Kamal Hosain, Nguyen Hoang Hai, Md. Anwar Hossain
IEEE ACCESS 2021 | IEEE

Modeling and simulation of deep brain stimulation electrodes with various active contacts

Khaleda Akhter Sathi, Md. Kamal Hosain
Research on Biomedical Engineering 2020 | Springer Nature

Design and Implementation of a Low Power Energy Harvested Head-mountable Deep Brain Stimulation Device

Khaleda Akhter Sathi, Md. Kamal Hosain, Shuvra Prokash Biswas
TENSYMP 2020 | IEEE

Medical Image Processing

LCDEiT: A Linear Complexity Data-Efficient Image Transformer for MRI Brain Tumor Classification

Gazi Jannatul Ferdous, Khaleda Akhter Sathi, Md.Azad Hossain, Mohammed Moshiul Hoque, M. Ali Akber Dewan
IEEE ACCESS 2023 | IEEE

Conv-ViT: A Convolution and Vision Transformer-Based Hybrid Feature Extraction Method for Retinal Disease Detection

Pramit Dutta, Khaleda Akhter Sathi,Md.Azad Hossain, M. Ali Akber Dewan
Journal of Imaging 2023 | MDPI

TEACHING
  • ETE 415: IOT and Industrial Automation
  • ETE 405: Wireless and Mobile Communication
  • ETE 301: Semiconductor Physics and Devices
  • ETE 211: Control System and Engineering
AWARDS & ACHIEVEMENTS

  • University Gold Medal: For excellent academic performance in the B.Sc. examination (2019)
  • Student of The Year: For excellent academic performance in 2nd & 3rd year final examination (2017 & 2018)
Miscellaneous
  • Love to Paint !
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