Computer Vision
Object detection, pedestrian and vehicle analysis, facial expression recognition, real-time vision with YOLO-family models.
Seeking a fully funded PhD in AI
Aspiring PhD Researcher in AI
Data Scientist · ML/DL/AI & Computer Vision researcher · Competitive programmer · Educator
Computer VisionDeep LearningYOLOAlgorithms
I am a Computer Science and Engineering graduate with a deep passion for solving problems through code. Over the past decade, I have immersed myself in competitive programming, which has sharpened my ability to think critically and design efficient algorithms.
Alongside this, I have developed a strong interest in artificial intelligence, machine learning, deep learning and computer vision — areas where I have gained hands-on experience through academic research projects and self-driven learning. I enjoy exploring how data and intelligent systems can solve real-world problems, and I am always looking for opportunities to grow, collaborate and build meaningful technology.
Today I work as an Advanced ICT Officer at CNRS-UNHCR, where I teach students and apply technology in a humanitarian context — and I have written a free, university-level curriculum of 273 lectures on AI, Machine Learning and Deep Learning.
Object detection, pedestrian and vehicle analysis, facial expression recognition, real-time vision with YOLO-family models.
CNNs, transfer learning, efficient models and practical deep learning for deployment.
Intelligent systems that solve real-world problems, AI for social good and humanitarian contexts.
Classical and learned image analysis pipelines, preprocessing and feature extraction.
Statistics, data analysis, visualisation and end-to-end data pipelines.
Data structures, algorithm design and complexity — a decade of contest problem solving.
Computer vision for safety and human understanding — with a focus on real-world conditions in Bangladesh.
Real-time facial expression analysis using the YOLOv11 detection architecture.
Detecting pedestrians in Bangladeshi traffic scenes and classifying their risk level to support road-safety systems.
A vision-based system to estimate vehicle speed and support over-speed penalties.
A computer-vision system to detect brain tumors in medical images and classify them.
Ahsanullah University of Science and Technology (AUST) · Dhaka, Bangladesh
Kurigram Govt. College · Kurigram, Bangladesh
Kurigram Govt. High School · Kurigram, Bangladesh
CNRS-UNHCR
Robo Tech Valley, Dhaka
Codeforces, CodeChef, HackerRank and other platforms
Microsoft, Dhaka
Google Developer Group, Dhaka
Explaining ideas clearly is how I test that I truly understand them.
A free, university-level curriculum of 273 lectures across 10 tracks — from AI foundations and mathematics to transformers, diffusion models, reinforcement learning, MLOps and AI ethics — written as classroom lectures with derivations, code and exercises.
Teaching students ICT and digital skills as Advanced ICT Officer.
Software I have designed and built — from desktop and mobile apps to databases, games and the web.
Web application for the AUST ICPC community.
Earlier personal portfolio website.
Windows application for managing an auto-parts shop.
Android application for shop management.
Database application for managing contacts.
Database-driven ride-sharing management system.
2D fighting game built from scratch.
Interactive computer-graphics project.
39 verified credentials in machine learning, deep learning, algorithms, mathematics and data science — from Stanford, UC San Diego, University of Illinois, University of Michigan, DeepLearning.AI, IBM, 365 Data Science and more.
No certificates match your search.
Recognised for outstanding performance in online programming contests across various platforms.
Received a Talent Pool scholarship in Class 5; ranked 4th in Kurigram District.
Launched this portfolio and published The AI Lecture Hall — 273 free lectures on AI, ML and Deep Learning.
Graduated with a B.Sc. in Computer Science & Engineering from Ahsanullah University of Science and Technology.
Working on the paper “Emotion Detection at Lightning Speed: Leveraging YOLOv11 for Facial Expression Analysis” (in publication process).
Find my work, code and problem-solving record across the research and developer ecosystem.
ORCID, citation indexes and research networks
Code, datasets, models and writing
10+ years of contests and problem solving
Faculty of the Department of Computer Science & Engineering, AUST. Phone numbers are available on request.
Professor
Department of CSE, Ahsanullah University of Science and Technology
shahriar.cse@aust.eduAssistant Professor
Department of CSE, Ahsanullah University of Science and Technology
taslim.cse@aust.eduLecturer Grade-I
Department of CSE, Ahsanullah University of Science and Technology
reasad.cse@aust.eduLecturer Grade-I
Department of CSE, Ahsanullah University of Science and Technology
broti.cse@aust.eduI am actively looking for a fully funded PhD position or research assistantship in AI, computer vision and machine learning. If my work fits your lab, I would be glad to hear from you.