01
Vibroad
Driver-centric road surface anomaly detection using smartphone accelerometer data, GPS, driver perception labels, and machine learning.
Research · Machine Learning · Road Sensing
2025—Present
Computer Science · Applied Computing
Ralfh Edwin W. Panti
I teach Computer Science at Catanduanes State University and am currently studying MS Computer Science with a specialization in Applied Computing. My work sits around machine learning, road sensing, academic information systems, and practical computing projects for education and public service.
Virac, Catanduanes
Research + Systems
Teaching
Currently
MS Computer Science
Applied Computing · Studying
Machine Learning
Road sensing · Sensor data
Academic Systems
Student and research platforms
About
Building useful things, studying how they work, and teaching the ideas behind them.
My interests are centered on applied computing, machine learning, human-centered sensing, and academic information systems. I am particularly interested in work that can be grounded in real local contexts, including road condition monitoring in Catanduanes and digital systems that support students, faculty, and research workflows.
Selected Work
A few things I am building and researching.
02
CatSU InfoHive
An institutional undergraduate research repository supporting submission, review, publication, and long-term preservation of scholarly outputs.
Laravel · Livewire · Research Workflow
2026
03
CatSU Student Portal
An academic information platform that provides students with access to schedules, grades, profile information, awards, and other university services.
Laravel · Livewire · Academic Systems
Active
Current
What I am focusing on right now.
MS Computer Science
Applied Computing studies with emphasis on research and practical computing problems.
Road Surface Research
Smartphone-based accelerometer and GPS data for road anomaly detection and prioritization.
Academic Information Systems
Improving digital services that support students, faculty, and research processes.
Teaching
Computer Science courses, programming, discrete structures, and student project work.
Teaching
Teaching computing through logic, implementation, and context.
My teaching interests include programming, discrete structures, data structures, systems thinking, and project-based computing. The emphasis is on understanding why an approach works—not just producing an output.
Contact