Md Sultan Mahmud

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View the Project on GitHub HiIamSultan/sultan.github.io

Hi! I am Sultan!

I am a Ph.D. student at The Pennsylvania State University, currently serving as a Graduate Teaching Student in the Computer Science and Engineering department, and looking for PhD supervisor.

As a graduate researcher, I would like to utilize and advance my prior knowledge of signal processing techniques and applied machine learning algorithms. I would also love to collaborate with researchers in order to improve my skills in multi-disciplinary domains to contribute to the field of science.

Education

Work Experience

Research Assistant @ Systems and Network Security Research Lab, Penn State (Jan’24 - Jul’24)

Lecturer @ East Delta University, Chattogram, Bangladesh (Fall’22 - Fall’23)

Publications

Journals

  1. Mahmud, M.S., Fattah, S.A., Saquib, M. and Saha, O., 2024. Emotion recognition with reduced channels using CWT based EEG feature representation and a CNN classifier. Biomedical Physics & Engineering Express, 10(4), p.045003.
  2. Saha, O., Mahmud, M.S., Fattah, S.A. and Saquib, M., 2022. Automatic emotion recognition from multi-band EEG data based on a deep learning scheme with effective channel attention. IEEE Access, 11, pp.2342-2350.

Conferences

  1. Saha, O., Mahmud, M.S. and Fattah, S.A., 2023, December. Automatic Emotion Recognition from EEG Signal Utilizing Wavelet Packet Node Reconstruction and a CNN Classifier. In 2023 26th International Conference on Computer and Information Technology (ICCIT) (pp. 1-6). IEEE.
  2. Mahmud, M.S., Saha, O. and Fattah, S.A., 2022, December. An efficient bidirectional LSTM-based deep neural network for automatic emotion recognition using EEG signal. In 2022 12th International Conference on Electrical and Computer Engineering (ICECE) (pp. 417-420). IEEE.
  3. Mahmud, M.S., Nayan, M.M.R., Hasan, S. and Taj, M.N.A., 2022, December. A Deep Ensemble Model with an Efficient Feature for Multi-class Arrhythmia Classification Utilizing 12-Lead ECG Signal. In 2022 12th International Conference on Electrical and Computer Engineering (ICECE) (pp. 48-51). IEEE.
  4. Saha, O., Mahmud, M.S. and Fattah, S.A., 2022, December. DEEPSATTNET: An End-to-End Deep Neural Network with Self-Attention for EEG-Based Emotion Recognition. In 2022 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE) (pp. 275-279). IEEE.

Honors and Awards

  1. University Merit Scholarship and Dean’s List Award – BUET (Spring’17 ‑ Spring’22)
  2. Dr. Saifuddin Ahmed Chowdhury Memorial Scholarship – BUET (Spring’21 ‑ Spring’22)
  3. Bronze Award – HRH The Duke of Edinburgh KG KT Founder (2014)

Misc.

  1. Vice‑Chairperson – IEEE Signal Processing Society BUET Student Branch (Summer’21 ‑ Spring’22)
  2. Assistant Treasurer – IEEE BUET Student Branch (Summer’19 ‑ Summer’21)
  3. Vice‑President – Badhan BUET Zone Suhrawardy Hall Unit (Spring’20 ‑ Spring’22)

Contact

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