Farhana Rahman

B.Sc. in Computer Science & Engineering

AI / ML Researcher & Engineer

FR

About

Assalamualykum, I’m Farhana πŸ‘‹ I work on applied AI and Machine Learning, focusing on intelligent systems.

I received my B.Sc. in Computer Science & Engineering from Rajshahi University of Engineering & Technology (RUET). Later, I worked as a Research Intern at Samsung R&D Institute Bangladesh (SRBD), where I applied Machine Learning and Deep Learning techniques to enhance camera intelligence and deploy optimized models on Samsung Galaxy mobile devices.

πŸ”¬Research Interests: Computer Vision, Efficient Machine Learning and Deep Learning Optimization.

Latest News

2025.7

Joined Software Engineering Intern at Samsung R&D Institute Bangladesh

πŸ’Ό Optimized computational photography pipelines using ML/DL, deploying AI-driven image enhancement models on Samsung Galaxy devices for real-time performance.

2025.6

Graduated from Rajshahi University of Engineering & Technology

πŸŽ“ Successfully completed B.Sc. in Computer Science & Engineering with CGPA 3.65/4.00 from RUET.

2025.5

Undergraduate Thesis Defended (IoT Botnet Detection)

πŸ“˜ Completed thesis integrating explainable AI with lightweight ML for IoT botnet detection, achieving 89% accuracy with SHAP interpretability and edge-ready deployment.

2025.3

Conference Paper Accepted (Facial Emotion Recognition, NCIM 2025)

πŸ“˜ Developed a multimodal deep learning framework using geometrical priors and spatial features, achieving up to 94% accuracy on challenging emotion classification datasets.

2024.10

Passed Fundamental IT Engineer Examination 2024

πŸ… Ranked 10th in FE Level-2 certification exam, validating strong engineering fundamentals in computing and system design.

Education

B

Birshreshtha Noor Mohammad Public College

July 2017 - Jun 2019

Higher Secondary Certificate (H.S.C.)

Completed higher secondary education with a GPA of 5.00/5.00, earning Board Merit Scholarship for academic excellence in HSC. Served as Class Representative and Valedictorian, contributing to student leadership and college activities including active participation in competitions, and achieving ranks in Olympiads, laying a strong foundation for future academic pursuits.

A

Akij Collegiate School

Jan 2013 - Jun 2017

Secondary School Certificate (S.S.C.)

Graduated from secondary school with a perfect 5.00/5.00 GPA, earning Board Merit Scholarship twice in recognition of outstanding academic performance in both JSC and SSC. Beyond academics, I served as Head Girl of School, Class Representative, and honed my public speaking through debates and event anchoring, and actively engaged in leadership and competitive challenges, including Mathematics Olympiads and other school competitions. These experiences nurtured analytical thinking, teamwork, and communication skills, providing a strong foundation for advanced studies.

Skills

C/C++
Java
Kotlin
Android
Python
PyTorch
TensorFlow
Javascript
TypeScript
React
Next.js
SQL

Awards & Honors

2024

Top 20, Huawei Seeds for the Future 2024

2024

National Rank 10th, Fundamental IT Engineer Examination 2024 (FE Level-2)

2023

Honored by Dept. of CSE, RUET for Outstanding Performance in Competitive Programming throughout the academic year 2020-2023

2023

Champion, HackAtom by Moscow Engineering Physics Institute (MEPhI) & Information Center on Nuclear Energy

2022

6th place, Ada Lovelace National Girls' Programming Contest 2022

Publications

View the details of my publications on Google Scholar

Gender-Abusive Language Detection in Bengali Using Machine Learning Algorithms

Gender-Abusive Language Detection in Bengali Using Machine Learning Algorithms

Developed a machine learning-based system to detect gender-based abusive language in Bengali social media,achieving 84.5% recall with Support Vector Machine.

Authors: Mayeesha Farjana, Barisha Chowdhury, Farhana Rahman, Zuairia Raisa Bintay Makin, Sumaiya Rahman & Azmain Yakin Srizon

Machine Learning
NLP
A Lightweight Framework for Facial Emotion Recognition: Leveraging Geometrical Priors with Spatial Features

A Lightweight Framework for Facial Emotion Recognition: Leveraging Geometrical Priors with Spatial Features

Developed a multimodal deep learning model for facial expression recognition, improving accuracy on challenging emotions like anger vs. disgust with up to 94% accuracy across datasets.

Authors: Abduz Zami, Shadman Sobhan, Farhana Rahman, Tanvir Mahtab Zihan, Mahmudul Ahsan, Mohiuddin Ahmed

Computer Vision
Deep Learning
Multimodal AI

Academic Project

Pixel Study Room

Pixel Study Room

Developed a pixel-style virtual study room web application with multiple productivity enhancing features,leveraging reusable React component architecture and Tailwind CSS for scalable UI development.

Next.js
React
Tailwind CSS

Community Engagement

2021 - 2024

Programming Mentor

🧠 Served as a mentor at RUET Analytical Programming Lab (RAPL), guiding students in algorithmic thinking, problem-solving, and competitive programming through structured instruction and hands-on mentoring.

2022 – 2023

Microsoft Learn Student Ambassador (Alpha)

⭐ Selected as an Alpha Ambassador, mentoring peers, organizing technical learning initiatives, and fostering an inclusive developer community while strengthening leadership and technical skills.

2019 – 2022

Girls Gone Global Ambassador – Bangladesh

🌐 Represented Bangladesh as a Vibely ambassador, leading a global subcommunity of 500+ women in STEM and promoting collaboration, leadership, and community-driven learning.