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I teach machines to notice what we might miss.
Tiangong University, Tianjin · 2025 — PRESENT
Steel surface · A conceptual inspection feed studies patterns and small surface changes.
Conceptual animation inspired by published FDFNet research; this is not a running model or measured output.
From research question
to working system.
Your work, always within reach.
Keep your profile, consultations, documents and conversations together wherever your next idea takes you.
The native apps are in preparation. Explore the mobile web experience today.
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Curiosity, with a technical backbone.
I’m Md Kawsar Alam, an AI researcher with a background in artificial intelligence, computer vision and app development. My work connects careful experiments with usable systems.
MSc, Computer Science & Technology
Tiangong University, Tianjin
Image quality assessment · vision-language models · intelligent robotics
BSc, Artificial Intelligence
Tiangong University, Tianjin
Thesis: real-time detection of industrial steel surface defects
Ideas, tested
against reality.
My research explores how machines interpret visual information, especially when the signals are small, noisy or complex.
FDFNet: An efficient detection network for small-size surface defect based on feature differentiated fusion
A coauthored paper on steel surface defect detection, combining contrast enhancement, space-to-depth convolution and differentiated feature fusion.
Read the published paperRobustness-enhanced scene text recognition
Coauthored work on occluded and blurred printed signs using a deformable attention module; submitted to PRICAI 2026.
Proof in
the process.
Selected projects and research from my CV, spanning visual interaction, depth estimation, machine vision and robotics.
Real-time industrial steel inspection
Research on real-time detection of surface defects of industrial steel in challenging production environments.
Human–machine visual interaction
A MediaPipe-based system exploring face, gesture and skeleton tracking for real-time interaction.
Depth from stereo disparity
Stereo camera calibration and OpenCV StereoSGBM disparity mapping for depth estimation and 3D reconstruction.
RGB-D point cloud & SLAM
RGB-D odometry, registration and ICP used to align scene fragments and reconstruct a 3D environment.
Image calibration & processing
Camera calibration, enhancement, edge detection and segmentation using MATLAB, Python and OpenCV.
Complex problem?
Let’s make it clear.
These are proposed ways to work together, shaped by my research and development background. Scope and fees are agreed after a conversation.
Computer vision consultation
Discuss inspection, image quality, depth estimation or visual understanding for your use case.
AI prototype development
Scope a small, testable proof of concept in machine learning, computer vision or intelligent interaction.
Research collaboration
Explore methods, experiments and evidence with a partner grounded in academic research.
Web & mobile products
Plan a useful web or Flutter mobile experience connected to the right technical architecture.
Every engagement begins with a conversation. See the published fee and open times below before creating an account.
Book a conversation with Kawsar
Browse the fee and open times freely. Create an account when you are ready to request a session.
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Research mind.
Builder’s hands.
Academic research has shaped how I ask questions. Product work has shaped how I answer them.
MSc, Computer Science & Technology
Tiangong University · Tianjin, China
BSc, Artificial Intelligence
Tiangong University · Tianjin, China
Responsive e-commerce development
WordPress, PHP and MySQL project
Lead App Developer
Gratitude Media & IT Solution Ltd. · Flutter codebase
What are you
working on?
Tell me the problem, the context and what a useful result would look like. I’m open to research collaboration, consulting and product conversations.
Email KawsarSOMETHING
USEFUL.