Syed Arib Hasan

I’m a Computer Science & Engineering graduate from BRAC University (CGPA 3.62), specializing in machine learning, deep learning, and full-stack software engineering. I focus on intelligent systems that perform rigorously on benchmarks and integrate cleanly into production environments.

My work spans deep learning for computer vision, medical image analysis, and signal-based classification. I’ve built and benchmarked CNN/LSTM and CNN-Transformer hybrids for WiFi-CSI activity recognition, and developed an Attention U-Net for brain tumor segmentation and classification with strong performance. I also prototype end-to-end pipelines—from Selenium-driven multilingual news data mining to AI-assisted QA automation suites with CI/CD and defect tracking.

I enjoy bridging research and engineering: designing architectures, validating results with careful evaluation, and shipping reliable workflows. As IT department Secretary for ROBU, I guide technical direction, run workshops, and mentor others to build and deploy practical robotics and IoT solutions.