MD. Naimur Asif Borno

MD. Naimur Asif Borno

Mechatronics Engineer | Researcher in Computer Vision, AI & Machine Learning

LinkedIn
Scholar
GitHub
CV

About Me

I am a passionate researcher and mechatronics engineer with expertise in artificial intelligence, machine learning, and computer vision.

My research focuses on diffusion models, image editing & inpainting, vision transformers, medical image generation, and continual learning. I have experience working with international research teams across Australia, Japan, and Bangladesh, where I have contributed to a range of projects in the fields of diffusion models, image editing, medical image analysis, and continual learning. These collaborations have strengthened my ability to conduct interdisciplinary research, adapt to diverse academic environments, and contribute meaningfully to ongoing projects in a globally connected research setting.

Contact Information

+8801860460298

naimur.ruet@gmail.com

Rajshahi, Bangladesh

Research Interests
  • Diffusion Models
  • Image Editing & Inpainting with Illusions or Structure Guidance
  • Vision Transformers & Attention Mechanisms
  • Image-to-Image Translation
  • Medical Image Generation & Classification
  • Continual Learning & Knowledge Distillation
Language Proficiency

IELTS Academic: Overall Band Score 7

Listening: 7.5, Reading: 7, Writing: 6.5, Speaking: 6

Education

Graduation: May 2024

Bachelor of Science in Mechatronics Engineering

Rajshahi University of Engineering and Technology

CGPA: 3.44/4.00

Last 4 semester avg. CGPA: 3.64/4.00

Specialized Courses

  • Exploratory Data Analysis for Machine Learning (Coursera)
  • Introduction to TensorFlow for AI, ML and Deep Learning (Coursera)
  • Statistics for Data Science with Python (Coursera)
  • Neural Networks and Deep Learning (DeepLearning.ai)
  • Convolutional Neural Networks in TensorFlow (DeepLearning.ai)
  • Custom Models, Layers and Loss Functions with TensorFlow (DeepLearning.ai)
  • Generative AI (Coursera)

Research Experience

Current

Research Assistant

The University of Queensland, Australia

Supervisor: Dr. Mohammad Ali Moni

Faculty of Health, Medicine and Behavioural Sciences

Research Topics:
  • Developing a frequency-aware diffusion framework that fuses multi-image frequency components and injects prompt-based attention maps for controllable, structure-style-semantic disentangled image synthesis (Targeted Venue A* conference)
  • Latent-Based Continual Learning with Dual-Layered Distillation and a Streamlined U-Net for Efficient Text-to-Image Generation (Manuscript Under Review)
  • Decentralized LoRA Augmented Transformer with Context-aware Multi-scale Feature Learning for Secured Eye Diagnosis (Manuscript Under Review)
2024

Research Assistant

University of Aizu, Japan

Supervisor: Jungpli Shin, PhD

Advance Machine Intelligence Research Lab (https://amirl.org/)

Research Topic:
  • Percept-Diff: Innovations in Stable Diffusion for High-Fidelity IHC Image Generation in HER2 Breast Cancer Incorporating Perceptual Loss
  • Published on 2024 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)

Professional Experience

Jan 2023 – Mar 2023

Data Analyst And Business Analytics Intern

The Sparks Foundation (Remote), Singapore
Jun 2022 – Aug 2022

Intern

Forbs Marshall, Dhaka, Bangladesh

Awards & Honors

  • Face The Case 3.0 - IEEE CUET Student Branch (Top 10, 2023)
  • Cognizent 2.0 - Ruet, IPE Club (Top 8, 2023)
  • Internship Completion - Forbs Marshall (2023)
  • Data Science and Business Analytics Internship Completion - The Sparks Foundation (2023)

Research Publications

Technical Competencies

Programming Languages
Python, C++, Java
ML Libraries
Scikit-Learn, NumPy, Pandas, Matplotlib, Seaborn, Matlab
Cloud Technologies
AWS, Azure, GCP, Miflow, Fast Api, Streamlit
Computer Vision
Diffusers, Transformers, PIL, OpenCV, CNN, Generative AI, Object Detection, Segmentation
Tools & Others
Git, GitHub, LaTeX, Microsoft Office, Adobe Illustrator

Activities & Interests

Traveling Movies Singing Photography Books

References

Dr. Mohammad Ali Moni

School of Health and Rehabilitation Sciences
Faculty of Health, Medicine and Behavioural Sciences
The University of Queensland
308 Queen St, Brisbane City, QLD 4000, Queensland, Australia

m.moni@uq.edu.au

Md. Faisal Rahman Badal

Assistant Professor
Department of Mechatronics Engineering
Rajshahi University of Engineering & Technology (RUET)
Rajshahi - 6204, Bangladesh

faisalrahman@mte.ruet.ac.bd

Get In Touch

Contact Information

+8801860460298

naimur.ruet@gmail.com

Rajshahi, Bangladesh

Follow Me