CV

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Education

Khulna University of Engineering and Technology (KUET) — Khulna, Bangladesh
M.Sc. in Electrical and Electronic Engineering (Expected 2026)
Proposed Thesis: Local–Global Feature Integration in Neural Signals Using Dual Path Deep Learning Models

Khulna University of Engineering and Technology (KUET) — Khulna, Bangladesh
B.Sc. in Electrical and Electronic Engineering (Jan 2019 – Mar 2024)
CGPA: 3.71/4.00 (Top 16%, Rank: 24/149)
Thesis: Assessing Mental Stress Using Deep Learning Methods from EEG Signals

Research Interests

• Deep learning for EEG-based emotion recognition and mental state analysis
• Geometry-aware neural networks for biomedical signal interpretation
• Generalizable and robust ML for biomedical applications
• Computer vision for image enhancement, recognition, and segmentation

Journal Publications

1. DAFNet: A Dual-path Attention Fusion Network for EEG Emotion Recognition via CNN and Graph-based Global Modeling
   Array (Elsevier), 2025
   MR Khan, AA Tania, TA Bushra, J Pritha, M Ahmad

2. A Comparative Study of Time–Frequency Features Based Spatio-Temporal Analysis with Varying Multiscale Kernels for Emotion Recognition from EEG
   Biomedical Signal Processing and Control, 2025
   MR Khan, AA Tania, M Ahmad

3. Multiclass Liver Disease Prediction with Adaptive Data Preprocessing and Ensemble Modeling
   Results in Engineering, 2024
   AA Ahad, B Das, MR Khan, N Saha, A Zahid, M Ahmad

Conference Publications

1. Equivariant Geodesic Networks: Geometry-Preserving Learning on Riemannian Manifolds
   ICLR 2026 (Under Review), 2025
   MR Khan, AA Tania

2. AutoLumNet: A Bi-branch Exposure-aware Network for Low- and High-exposure Image Enhancement
   ICLR 2026 (Under Review), 2025
   AA Tania, MR Khan, M Ahmad

3. Searching for the Best Polynomial Approximation for Accurate Log Matrix Normalization in Global Covariance Pooling
   ICLR 2026 (Under Review), 2025
   MRU Rahman, MR Khan

4. Mental Stress Detection from EEG Signals Using Random Forest and RNN
   IEEE ICACCESS, 2024
   MR Khan, M Ahmad

5. Recognition of Bengali Vowels from Auditory Evoked Potentials Using CNN
   IEEE SPICSCON, 2024
   T Das, MR Khan, MM Hasan

6. Machine Learning Techniques for Brain Stroke Analysis and Prediction
   IEEE SPICSCON, 2024
   R Hasan, SMR Islam, MR Khan

7. Smart Classroom Automation Using AI-based Voice, Gesture, and Face Recognition
   IEEE ICACCESS, 2024
   MR Khan, AA Ahad, AA Tania, T Das, B Das

8. Custom Dataset-driven Unsupervised Low-light Image Enhancement using 2D CNN
   IEEE Quantum Photonics, AI & Networking, 2025
   AA Tania, MR Khan, M Ahmad

Research Experience

Graduate Thesis Student, EEE, KUET

Supervisor: Dr. Mohiuddin Ahmad (Nov 2024 – Ongoing)

• Developed DAFNet for local–global feature integration in EEG emotion recognition
• Proposed AutoLumNet, a unified model for low/high-exposure image enhancement
• Published in Array (Elsevier) and under review at ICLR 2026

Undergraduate Thesis Student, EEE, KUET

Supervisor: Dr. Mohiuddin Ahmad (Jan 2023 – Mar 2024)

• Built deep learning models for EEG-based emotion and stress detection
• Contributed to preprocessing, evaluation, and paper writing
• Resulted in IEEE and Elsevier publications

Research Collaborator, EEE, KUET

Supervisor: Dr. Md. Mahbub Hasan (May 2024 – Jul 2024)

• Created EEG dataset for imagined Bengali language tasks
• Designed models for recognizing vowels/words from brain signals
• Published in IEEE SPICSCON 2024

Teaching Experience

Lecturer, Department of EEE — North Western University, Bangladesh
(August 2024 – Present)

Courses Taught:

• Digital Image Processing (EEE-4255) — Lectures, labs, assignments, student projects
• Digital Signal Processing (EEE-4135) — Theory and biomedical applications
• DSP Sessional (EEE-4136) — Labs and EEG-focused projects
• Basic Electrical Circuits (EEE-1221) — Theory and circuit assignments

Awards & Honors

• Honorable Mention, International Mathematics Competition (IMC), Bulgaria (2021)
• Gold Medal, International Youth Math Challenge (IYMC), Top 1% globally (2021, 2020)
• Silver & Bronze Medals, International Astronomy and Astrophysics Competition (IAAC)
• Dean’s Scholarship & Merit Scholarship, KUET (7× awards)
• Best Project Award, KUET, 2023
• Excellence Award, Top 5 IYMC Ambassador worldwide (2021)
• Best Paper Award, IEEE SPICSCON 2024

Technical Skills

• Programming: Python, C++, MATLAB
• Frameworks: PyTorch, TensorFlow, Keras, scikit-learn
• Tools: NumPy, pandas, OpenCV, MNE, SciPy, GitHub
• Visualization: matplotlib, seaborn
• Domain Tools: EEGLAB, biomedical signal processing software

References

Dr. Mohiuddin Ahmad, Professor, EEE, KUET
Email: ahmad@eee.kuet.ac.bd

Dr. Kalyan Kumar Halder, Professor, EEE, KUET
Email: kalyan@eee.kuet.ac.bd