Students from the University of the Cordilleras–College of Information Technology and Computer Science (CITCS) have published a research paper in the ICCRD ’26: Proceedings of the 2026 18th International Conference on Computer Research and Development.
The study, titled “Kd-Tree Scheduler (KDTS): Using Kd-Trees to Optimize the Round Robin Scheduler,” was published on May 12, 2026. It was authored by CITCS students Francis Carlo C. Del Campo, John Reniel D. Cruz, Jenny Ann T. Guyong, Rjanna Miki M. Balaybay, and Jhun Russel D. Clemente, together with CITCS faculty member Don Harl C. Malabanan.
Developed under the mentorship of Don Harl C. Malabanan, CITCS faculty member for the CCS6 Operating System subject, the study introduces the Kd-Tree Scheduler (KDTS), an enhanced Round Robin CPU scheduling algorithm. The proposed scheduler uses kd-trees to organize processes and applies a harmonic mean-based time quantum to reduce unnecessary context switching, lower waiting time, and improve CPU utilization.
The conference featured research sessions on software design and quality analysis, machine learning and intelligent computing, digital image analysis and computer vision, cybersecurity and privacy protection, artificial intelligence applications, digital signal detection, and next-generation wireless communication systems and network technologies.
Through this publication, the CITCS students demonstrate the application of advanced data structures and operating system concepts in developing more efficient computing solutions.
UC CITCS extends its congratulations to Francis Carlo C. Del Campo, John Reniel D. Cruz, Jenny Ann T. Guyong, Rjanna Miki M. Balaybay, Jhun Russel D. Clemente, and their mentor, Don Harl C. Malabanan, on the successful publication of their research and their meaningful contribution to operating systems research.
SDG Alignment
SDG 4: Quality Education – The study highlights research-driven learning, technical competence, and innovation among CITCS students.
SDG 9: Industry, Innovation, and Infrastructure – The proposed algorithm contributes to research on efficient computing systems and improved digital infrastructure.
References
The paper is available in the published conference proceedings through this link: ICCRD ’26: Proceedings of the 2026 18th International Conference on Computer Research and Development.
