Open to PhD / Research Positions — 2025

Naimur Asif Borno.

Mechatronics Engineer → AI Researcher. Specializing in diffusion models, continual learning & medical image synthesis.

Download CV Scholar GitHub LinkedIn
0Publications
0Institutions
0IELTS Band
0Under Review
SCROLL
// 01. About

Who I Am

I'm a Mechatronics Engineer turned AI Researcher, specializing in generative models, medical imaging, and continual learning. I graduated from RUET, Bangladesh and currently work as a Research Assistant at the University of Queensland, Australia.

My work spans diffusion models, frequency-domain learning, knowledge distillation, and federated learning — with a focus on making generative systems efficient enough to run under real-world compute constraints.

I've collaborated across Australia, Japan, and Bangladesh, and I'm actively seeking PhD/MSc opportunities in Europe and North America.

  • naimur.ruet@gmail.com
  • +880 1860-460298
  • Rajshahi, Bangladesh

Research Interests

Diffusion Models Image Editing Inpainting Vision Transformers Img-to-Img Translation Medical Image Gen. Continual Learning Knowledge Distillation Federated Learning Frequency-Domain ML

Beyond Research

✈ Traveling 🎬 Movies 🎤 Singing 📷 Photography 📚 Books
// 02. Education

Academic Background

Graduated — May 2024
Bachelor of Science in Mechatronics Engineering
Rajshahi University of Engineering and Technology (RUET), Bangladesh
  CGPA: 3.44 / 4.00   Last 4 semesters: 3.64 / 4.00
IELTS Academic
7.0
7.5Listening
7.0Reading
6.5Writing
6.0Speaking
// 03. Research Experience

Research Positions

2024 – Present · Current
Research Assistant
University of Queensland, Australia
Supervisor: Dr. Mohammad Ali Moni
Faculty of Health, Medicine and Behavioural Sciences
  • Frequency-aware diffusion framework fusing multi-image frequency components with prompt-based attention maps for controllable, structure-style-semantic disentangled image synthesis — targeting A* venue
  • KDC-Diff: Latent-aware continual learning with dual-layered distillation & streamlined U-Net for memory-efficient text-to-image generation — Knowledge-Based Systems (Impact Factor 7.6)
  • Decentralized LoRA Augmented Transformer with context-aware multi-scale feature learning for secured eye diagnosis — Under Review at Scientific Reports
2024
Research Assistant
University of Aizu, Japan
Supervisor: Jungpil Shin, PhD
Advanced Machine Intelligence Research Lab (AMIRL)
  • Percept-Diff: Innovations in Stable Diffusion for High-Fidelity IHC Image Generation in HER2 Breast Cancer incorporating Perceptual Loss
  • Published at 3ICT 2024, Sakhir, Bahrain — pp. 520–526
// 04. Research Output

Publications

01
Decentralized LoRA Augmented Transformer with Context-aware Multi-scale Feature Learning for Secured Eye Diagnosis
Borno, M.N.A., Shovon, M.S.H., Sikder, M.D., Rimi, I.F., Alahmadi, T.J. and Moni, M.A., 2025
Knowledge-Based Systems
Published DOI Link
02
KDC-Diff: A Latent-Aware Diffusion Model with Knowledge Retention for Memory-Efficient Image Generation
Borno, M.N.A., Shovon, M.S.H., Al-Moisheer, A.S. and Moni, M.A., 2025
Scientific Reports — Under Review
Under Review arXiv
03
Percept-Diff: Innovations in Stable Diffusion for High-Fidelity IHC Image Generation in HER2 Breast Cancer Incorporating Perceptual Loss
Borno M.N.A., Raihan M.T., Ahmed A., Shovon M.S.H., Shin J. and Mridha M.F., 2024
3ICT 2024, Sakhir, Bahrain — pp. 520–526
Published IEEE
04
The Categorization of Surface Irregularities Presents on the Hot-Rolled Steel Strip
Borno N., Mazumder D., and Ghosh A., 2023
6th Industrial Engineering & Operations Management Bangladesh Conference (IEOM)
Published View
// 05. Professional Experience

Industry Experience

Jan 2023 – Mar 2023
Data Analyst & Business Analytics Intern
The Sparks Foundation · Remote, Singapore
Applied data analysis and business intelligence techniques in a remote internship with an international foundation based in Singapore.
Jun 2022 – Aug 2022
Engineering Intern
Forbs Marshall · Dhaka, Bangladesh
Gained hands-on exposure to industrial engineering processes and operations at one of Bangladesh's leading engineering firms.
// 06. Skills

Technical Competencies

Core & ML
Python & Deep Learning92%
PyTorchTensorFlowScikit-learnNumPyPandas
Computer Vision88%
DiffusersTransformersOpenCVPIL
Generative AI85%
Stable DiffusionLoRADDPMGANs
Other Languages75%
C++JavaMATLAB
Tools & Platforms
Cloud & MLOps80%
AWSGCPAzureMLflowFastAPIStreamlit
Dev Tools85%
GitGitHubLaTeXVS Code
Research Techniques82%
Continual LearningKnowledge DistillationFederated Learning
Design & Visualization72%
Adobe IllustratorMatplotlibSeaborn
// 07. Certifications

Courses & Certifications

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

Awards & Honors

🏆
Face The Case 3.0
IEEE CUET Student Branch · Top 10, 2023
🏆
Cognizent 2.0
RUET IPE Club · Top 8, 2023
📜
Internship Certificate
Forbs Marshall, 2023
📜
DS & Business Analytics Certificate
The Sparks Foundation, 2023
// 08. Contact

Get In Touch

Whether you're a professor looking for a PhD student, a collaborator with an interesting problem, or just want to talk research — my inbox is always open.

naimur.ruet@gmail.com
+880 1860-460298
Rajshahi, Bangladesh
Dr. Mohammad Ali Moni
University of Queensland, Australia
m.moni@uq.edu.au
Md. Faisal Rahman Badal
Asst. Professor, RUET
faisalrahman@mte.ruet.ac.bd