FAIAZ HASANUZZAMAN RHYTHM
Address: 484 Road 07, Block-H, Bashundhara R/A, Dhaka
Email: faiazrhythm.uni@gmail.com
Phone: 01300737109
ResearchGate: www.researchgate.net/profile/Faiaz-Rhythm?ev=hdr_xprf
Google Scholar: scholar.google.com/citations?user=d93nMEEAAAAJ&hl=en
ORCID: orcid.org/0009-0006-2919-0129
Scopus: https://www.scopus.com/authid/detail.uri?authorId=59208799400
GitHub: https://github.com/FaiazRhythm35/FaiazRhythm35
Portfolio: https://vip-eece.mist.ac.bd
Short Bibliography
Faiaz Hasanuzzaman Rhythm is an undergraduate researcher in the Department of EECE at MIST, Bangladesh, specializing in deep learning, computer vision, and medical image segmentation. His works—UAPNet, DoubleUNet++, and MAGnet—explore attention mechanisms and multiscale feature learning for improved segmentation. He has presented at ECCE, ICAEEE, QPAIN, and TEHI. His thesis, “Advancing Stacked U-Nets with Cross-Stage Attention for Precise Road Mapping in Remote Sensing,” advances encoder–decoder architectures for remote sensing. As Chair of IEEE MIST SB and Ambassador for IEEE Bangladesh Section, he unites research and leadership to drive innovation in intelligent vision systems.
EDUCATION
Military Institute of Science and Technology (MIST)
B.Sc in Electrical, Electronic & Communication Engineering (2021–2025)
CGPA: 3.93/4.00
Honors: Dean’s List (2022, 2023, 2024)
RESEARCH EXPERIENCES
Journal Articles
- Dual Attention Approach for Automated Diabetic Retinopathy Grading, IJIST, 2024
- SEA-Net for bleeding segmentation, IJIST, 2025
- MAGnet for Road Extraction, Submitted
- UAPNet for Polyp Segmentation, Elsevier (Submitted)
Conference Articles
- Transformer-based Polyp Segmentation, ICAEEE 2024
- Reverse Attention for Mitochondria Segmentation, ECCE 2025
- Bi-Level Nested Architecture for Depth Estimation, ECCE 2025
- Attention-Guided Feature Distillation, NCIM 2025
- Road Extraction with U2Net Refinement, QPAIN 2025
- YESnet: YOLOv11 + SAM-2 for Skin Lesion Segmentation
- DoubleUNet++ for Road Extraction
- UAPNet for Polyp Segmentation, TEHI 2025 (Accepted)
- Adversarial Resilience of Polyp/Skin Models, TEHI 2025 (Accepted)
- Performance Analysis of Semi-Supervised Polyp Models, TEHI 2025 (Accepted)
- Real-Time Crop Detection on Drones, STI 2025 (Submitted)
- SAM-Augmented Microplastic Detection, STI 2025
- AVR Optimization in MATLAB Simulink, ICCIT 2025
Book Chapters
- Transformer Enhanced Graph Profiling, BIM 2025
- Multi-Modal Graph-Based Clustering, BIM 2025
- Graph Attention Auto-Encoder for Clustering, BIM 2025
- Graph-Based Domain Discovery from Spatial Transcriptomics, BIM 2025
THESIS
Title: Advancing Stacked U-Nets with Cross-Stage Attention for Precise Road Mapping
Supervisor: Lt Col Hussain Md Abu Nyeem, PhD
Email: h.nyeem@eece.mist.ac.bd
Phone: +8801769023978
WORK EXPERIENCE
2025 – Lecturer, EECE Dept., MIST
2024 – Industrial Training, Mango Teleservices Ltd.
2024 – Industrial Training, Grameenphone Ltd.
PROFESSIONAL AFFILIATIONS
- Website Developer, CATS MIST (2025)
- Website Developer, VIP Lab (2025)
- Chair, IEEE MIST Student Branch (2024–2025)
- Ambassador, IEEE Bangladesh Section
- Campus Ambassador, Grameenphone Academy
- Team Leader, MIST Innovation Club
- Instructor, LaTeX Workshop
- Volunteer, ICEEICT Web Team
AWARDS & ACHIEVEMENTS
- ICCIT 2024 Volunteer & Host
- RAAICON 2024 Volunteer
- Outstanding Volunteer, ICEEICT 2024
- LinkedIn Learning Certificates (Data Analysis, Data Literacy, Excel)
- Dean’s List (CGPA 3.99 and 3.93)
- Udemy ML A–Z Certificate
- Python: Beginner to Advance (EECE, MIST)
TECHNICAL SKILLS
- Programming: MATLAB, Python, C, Assembly, HTML, R, Django
- Tools: CST, PSpice, OrCAD, Proteus, Cadence, Verilog, Microwind
- CAD: AutoCAD
- Office: Word, Excel, PowerPoint, Project
Expertise: Machine Learning, Deep Learning, TensorFlow, PyTorch
