CV

PhD Candidate in Computer Science at Missouri University of Science and Technology. Expected PhD: Fall 2026.

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Education

PhD in Computer Science, Missouri University of Science and Technology, 2022-2026 expected.
BSc in Computer Science and Engineering, RUET, Bangladesh, 2017.

Research Experience

Graduate Research Assistant, Missouri S&T, 2022-present.
Research on UAV-based visual perception, small-object detection, multi-object tracking, spatiotemporal modeling, MultiLiDAR sensing, and reliable multimodal AI.

Teaching Experience

Lecturer, Computer Science and Engineering, BUBT, 2018-2022.
Graduate Teaching Assistant, Missouri S&T during PhD study.

Applied AI/ML Engineering Strengths

End-to-end ML pipeline development for data preparation, modeling, evaluation, and visualization.
Reproducible experiments, debugging, ablation analysis, and deployment-aware evaluation.
Computer vision, point-cloud sensing, and tracking workflows for real-world multimodal data.
Practical applied AI product work, including KeepScoreAI.

Technical Skills

Python, C/C++, SQL, PyTorch, TensorFlow, OpenCV, NumPy, scikit-learn, Linux, Git, MATLAB, ROS2.

Selected Publications

STARD-Net, ACM TSAS, 2026.
KRAfT, IEEE ICPR, accepted 2026.
V-USDT, IEEE MDM, 2025.
Augmented UAV Dataset, IEEE AIPR, 2023.

Research Interests

Computer Vision; Machine Learning; Multimodal AI; Applied AI Engineering; Spatiotemporal Modeling; Small-Object Detection; Multi-Object Tracking; MultiLiDAR / Point-Cloud Sensing; Reliable AI; GeoAI / Remote Sensing; Biomedical AI / Radiogenomics.