MIST Applications

Department of Electrical, Electronic and Communication Engineering (EECE)

Faiaz Hasanuzzaman Rhythm

Lecturer, Department of Electrical, Electronic and Communication Engineering (EECE)

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

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