Matthea Flynne T. Sim, MSc
Part-time Faculty
Educational Background
BS Computer Engineering MS in Electronics and Communications Engineering (Laderrized Honors Program)
De La Salle University
Ms. Matthea is a part-time faculty member at De La Salle University, where she teaches data structures in Java. She specializes in model compression for convolutional neural networks, with her thesis focusing on a novel approach to outlier smoothing before quantization.
Ms. Matthea’s work has been recognized at international conferences, including receiving a Best Paper Award. She is actively engaged in the academic and professional community, having organized and participated in events such as the NVIDIA Deep Learning Workshop, and has mentored students in science programs. Her professional interests are continually evolving as she explores new advancements in model compression and efficient neural network architectures.
Research Interest
- Artificial Intelligence
- Computer Vision
- Model Compression for Deep Learning
- Outlier Smoothing in Neural Networks
- Quantization Techniques for CNNs
- Efficient Neural Network Architectures
- Robustness and Generalization in Compressed Models
- Edge Computing and Resource-Constrained Inference
Selected Publications
- Sim, M. F. T., Anabeza, C. C., Cabatuan, M. K., Del Rosario, J. R. B., & Bandala, A. A. (2022, December). MobileNetV2-Based Mobile Application for Brain Tumor Classification. In 2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) (pp. 1-6). IEEE.
- Sim, M. F. T., Bandala, A. A., & Del Rosario, J. R. B. (2022, December). An Intelligent Transport System (ITS): Fuzzy Logic Controller for Adaptive Cruise Control. In 2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) (pp. 1-4). IEEE.
- Fidelino, J. I. R., Gomez, P. J. M., Sim, M. F. T., & Padilla, M. L. F. (2020, December). Corona: A side-scrolling video game-preliminary study. In 2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) (pp. 1-5). IEEE.
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