CV

Education

• Ph.D. in Informatics, Shizuoka University — Mineno Laboratory (planned)
• M.S. in Informatics, Shizuoka University — Mineno Laboratory, 2026 (expected)
• B.Sc. in Engineering, Computer Science and Engineering — University of Rajshahi, Bangladesh, 2024

Research interests

• Scale-invariant 3D plant phenotyping; 3D Gaussian Splatting and neural rendering
• Autonomous agricultural robotics (UGV); time-series crop monitoring

Research experience

• 2024–present: Graduate Researcher, Mineno Laboratory, Shizuoka University
  • Autonomous data acquisition and scale-invariant render-space phenotyping for greenhouse crop monitoring
  • Developed a low-cost self-charging UGV and a 3DGS-based measurement pipeline
  • Validated on a 49-day commercial-greenhouse dataset (2.86× cross-session stability gain)

Skills

• Programming: Python, C/C++, Bash, LaTeX
• Computer vision / 3D: Structure-from-Motion (COLMAP), 3D Gaussian Splatting, NeRF, OpenCV, PyTorch
• Robotics: ROS / ROS 2, Pixhawk / PX4, MAVROS, autonomous navigation and docking
• Tools: Git / GitHub, Linux, data analysis and visualization

Publications

Scale-Invariant Render-Space Phenotyping for Time-Series Crop Monitoring with 3D Gaussian Splatting

AL Zobaer, et al. (2026). "Scale-Invariant Render-Space Phenotyping for Time-Series Crop Monitoring with 3D Gaussian Splatting." Computers and Electronics in Agriculture (under review).

Multi-Viewpoint Autonomous Capture Platform for 3D Reconstruction in Greenhouse Environments

AL Zobaer, et al. (2026). "Multi-Viewpoint Autonomous Capture Platform for 3D Reconstruction in Greenhouse Environments." ISFAR-SU 2026.

A Low-Cost Autonomous UGV with Self-Charging Capability for Efficient Greenhouse Monitoring

AL Zobaer, et al. (2025). "A Low-Cost Autonomous UGV with Self-Charging Capability for Efficient Greenhouse Monitoring." IEEE GCCE 2025, Osaka, Japan.

Awards and honors

• Asia Bridge Program (ABP) Scholarship, 2024
• Japan Student Services Organization (JASSO) Scholarship