Tanveer Kader
Graduate Research Assistant, Full-Stack Developer
Graduate Research Assistant working in computer vision, with a parallel interest in full-stack software development.
I am an intermediate researcher developing expertise in Computer Vision and Natural Language Processing. Through my effective academic writing, I have published some of my work in Scopus-indexed journals and conferences, demonstrating my capacity to articulate complex technical concepts and contribute valuable insights to these evolving fields.
My research focuses on multiple object tracking and human activity recognition. I also work with 3D Image Processing, Depth Images, and Point Clouds, using tools like CloudCompare for segmentation and labeling in applied computer vision projects. During my Bachelor's thesis on Bangla language dialect and gender classification using machine learning, I built a strong foundation in Natural Language Processing that continues to shape my research today.
Alongside research, I build full-stack software using React, Node.js, NestJS, and PostgreSQL. I develop AI-powered software by integrating machine learning into the systems I build. This hands-on development work helps me turn research ideas into working systems.
What I work on
Multiple Object Tracking
Detection, re-identification, and tracking pipelines for human activity recognition.
Computer Vision
Visual tracking systems, transformers, depth images, and 3D point clouds.
Natural Language Processing
Vectorization, document parsing, and applied NLP research.
Machine & Deep Learning
Building customized pipelines and frameworks for seamless experimentation.
Work experience
Graduate Research Assistant
Data Science & Simulation Modelling Research Group, Universiti Malaysia Pahang Al-Sultan Abdullah, Pekan, Pahang, Malaysia
Teaching Assistant
Faculty of Computing, Universiti Malaysia Pahang Al-Sultan Abdullah
Academic background
MSc in Computing (by research)
Institution: Universiti Malaysia Pahang Al-Sultan Abdullah MY
Supervisor: Dr. Ahmad Fakhri bin Ab Nasir
Thesis: "Formulation of Deep Learning Pipeline for Human Activity Recognition and Tracking"
BSc in Computer Science and Engineering
Institution: International Islamic University Chittagong BD
Supervisor: Prof. Dr. AKM Masum
Thesis: "Bangla Language Dialect and Gender Classification using Machine Learning"
Technical skills
Programming
Computer Vision
Machine Learning
NLP
Data Analytics
Web Development
Database
OS & Tools
Research papers
View on Google ScholarHuman Detection and Tracking with YOLO and SORT Tracking Algorithm
The Inspection of Various Input Transformations Towards Human Detection and Tracking
Towards Optimised SORT Tracking Algorithm: Tuning the Feature Extractor BaseModel
A Deep Learning Approach: The Impact of Sentiment Analysis of Bangladeshi Workers over the World
Bangla Language Dialect Classification using Machine Learning
Projects
All Repositories20+ Machine Learning Projects
A GitHub repository of 20+ machine learning and deep learning projects, reflecting ongoing AI research and experimentation.
Python · ML/DLOmnifood
A pixel-perfect, optimized front-end web application.
HTML · CSS · JSSmart Controller
An IoT-based system that controls home/office accessories remotely over the internet. Electrical Drives Sessional project.
IoTGet in touch
Open to conversations about research, collaboration, or new opportunities.