Ka Yaw Teo

Ka Yaw Teo is an Assistant Professor in Computer Science and Software Engineering at California Polytechnic State University. With interdisciplinary training in biology, engineering, and computer science, his research develops geometric algorithms for facility location, robot motion planning, and biomedical applications. He holds a Ph.D. in Computer Science from the University of Texas at Dallas.

Research pillars include:

• Geometric Optimization: Designing efficient algorithms for median line segmentation and facility location problems.
• Robotic Motion: Computing feasible trajectories for articulated probes in 2D/3D spaces.
• Biomedical Applications: Correlating imaging data with histopathology in oncology (osteosarcoma).

Recent publications (2013–2023) demonstrate cross-disciplinary impact, spanning theoretical computational geometry, robotics, and biomaterial science. Algorithms address high-dimensional data approximation, motion planning with clearance constraints, and optimization in weighted subdivisions. Collaborations include biomedical engineers on tissue property analysis and cancer diagnostics.