Angkon Deb
Adjunct Lecturer
ext.angkon.deb@bracu.ac.bd
01521584367
Websites
https://www.linkedin.com/in/1angkon/Address
CSE Department
4th floor, Room No # 4P,
Brac University,
Kha 224 Bir Uttam Rafiqul Islam Avenue,
Merul Badda, Dhaka, Bangladesh
Graduated from the Department of Electrical and Electronic Engineering, BUET.
Currently pursuing an MSc degree from the same department.
Strong research interest in AI, DL, ML, and especially Robotics.
Multiple international Award winner.
Serving IEEE RAS as a Sectional Student Rep.
Adjunct Lecturer, CSE, BRACU
Google Scholar Link
• https://scholar.google.com/citations?user=H3siLB4AAAAJ&hl=en
Published
• A. Deb, Asaduzzaman, R. Roy, A. Islam, C. Shahnaz and M. Saquib, ”N2N2N: A Clean Data Independent Speech Enhancement
Approach with Modified cGAN,” TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON), Singapore, Singapore, 2024, pp.
1474-1477, doi: 10.1109/TENCON61640.2024.10903013.
• A. Deb, R. Roy, A. Islam, I. Islam, A. Musabbir, M. S. S. Rian and C. Shahnaz, ”Enhancing Communication for the Deaf and
Hard-of-Hearing: A Custom Deep Learning Model-Based Approach for Real-Time Sign Language Recognition and Translation,”
2024 IEEE 12th Region 10 Humanitarian Technology Conference (R10-HTC), Kuala Lumpur, Malaysia, 2024, pp. 1-6, doi:
10.1109/R10-HTC59322.2024.10778790.
• A. Deb, R. Roy, M. S. Sadik Rian, A. Islam, and C. Shahnaz, ” “Dpmas-net: A privacy-preserving deep learning model for emg-based
hand gesture recognition with time-frequency domain features,” in 2024 IEEE Region 10 Symposium (TENSYMP). IEEE, Sep. 2024, p.
1–6. [Online]. Available: http://dx.doi.org/10.1109/TENSYMP61132.2024.10752112
• A. Deb, S. I. Ahmed, A. Islam, M. Haque, S. A. Fattah and C. Shahnaz, ”A Real-time Automatic Dengue Breeding Zone Detection and
Prevention Scheme based on MobileNetV2 Enabled Autonomous Drone,” 2023 26th International Conference on Computer and
Information Technology (ICCIT), 2023, pp. 1-6, doi: 10.1109/ICCIT60459.2023.10441054.
• A. Deb, R. Roy, I. Islam, A. Islam and C. Shahnaz, ”Bio-Markers Presence Detection Using Transfer and Ensemble Learning on
Optical Coherence Tomography of Retinal Imagery,” 2024 6th International Conference on Electrical Engineering and Information &
Communication Technology (ICEEICT), 2024, pp. 915-920, doi: 10.1109/ICEEICT62016.2024.10534519.
• A. Deb et al., ”VOIS+: A Video Over Intercom Service with Home Automation Features for Advanced Security and Safety,” 2024 IEEE
3rd International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON), Dhaka, Bangladesh,
2024, pp. 299-302, doi: 10.1109/RAAICON64172.2024.10928380.
•Asaduzzaman, A. Deb, A. Biswas, R. Roy, A. Islam and C. Shahnaz, ”WnD-UNET: A Waveform and Discrete Wavelet Coefficient-Based
1D Deep Learning Model for Single-Channel Noisy Speech Enhancement,” 2024 27th International Conference on Computer and
Information Technology (ICCIT), Cox’s Bazar, Bangladesh, 2024, pp. 3554-3559, doi: 10.1109/ICCIT64611.2024.11022373.
•K. T. Hasan, N. M. Shaon, A. Deb, S. K. Munia, T. Afrin and A. Islam, ”Bidirectional Energy Flow in Vehicle-to-Grid and Grid-to-Vehicle
Systems with Solar Integration: A Simulink-Based Approach,” 2024 13th International Conference on Electrical
Accepted
• Angkon Deb, Celia Shahnaz, and M. Saquib ”A Joint Optimization Guided Deep Learning Model based on CNN and Channel-Wise
Transformers for Robust Sleep Stage Classification from EEG Signal” - 47th Annual International Conference of the IEEE Engineering
in Medicine and Biology Society, Copenhagen, Denmark, July 14-17, 2025 (EMBC): Article Accepted and Presented, to be published.
Uneder Review -(Journal)
• A. Deb, R Roy, C. Shahnaz, W.P. Zhu, and M. O. Ahmed ”CAR-UNet: A ConvNeXT and Attention Aided Residual UNet-based Deep
Learning Model for Monaural Speech Enhancement”- IEEE Transactions on Audio, Speech and Language Processing
• A. Deb, C. Shahnaz, and M. Saquib ”SLOTH-Net: An STFT-based Multi-branch Optimized Transformer Head Network for Sleep
Stage Classification from EEG Signal” - IEEE Transactions on Biomedical Engineering
• A. Deb, R Roy, A. Islam and C. Shahnaz ”pFLOCT: A Personalized Federated Learning Framework for Heterogeneous OCT Data
Classification Using Adaptive Clustering and Weight Optimization” - IEEE Access
IEEE EMBC TRAVEL GRANT 2025
Copenhagen, Denmark
EEE R10 Robotics Competition 2023
Champion Bangkok, Thailand
• Developed an autonomous Drone that can detect Mosquito breeding zones and descend
upon detection without any ground control
IEEE SPS 5MICC 2023
1st Runner Up Kuala Lumpur, Malaysia
• Awarded for integrating AI with robotics for autonomous operation
• Developed Project helps the local community and reduces health hazards
IEEE WIE Big Idea Pitch Competition 2023
Champion IEEE Global
• Pitched an idea that won the title of “Best Transformative Business Idea”
• The idea is related to combating climate change
HULT PRIZE 2022
Global Finalist Karachi Section
• Pitched a startup that is closely related to preserving the cultural products of Bangladesh
Accepting
As: |
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Level: |
Undergraduate |
Type: |
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Deep Learning, Biomedical Signal Processing, Human Brain Interaction, EEG signal processing, Federated Learning, Speech Signal Processing, Robotics and Automation, Explainable AI
