Abel Reyes Angulo

Contact

areyesan@mtu.edu
EERC 220

PhD Student, Computational Science and Engineering

Teaching Interests

Scripting programming
Applied machine learning
Data visualization
Digital system design

Research Interests

Medical image segmentation using AI
Deep learning in computer vision
Big data
Virtual reality/extended reality

Recent Publications

Reyes, A., Paheding, S., Rajaneesh, A., Sajinkumar, K., & Oommen, T. (2023). C-PLES: Contextual Progressive Layer Expansion With Self-Attention for Multi-Class Landslide Segmentation on Mars Using Multimodal Satellite Imagery. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 354–364).

Reyes-Angulo, A., & Sidike, P. (2023, July). The Forward-Forward Algorithm as a feature extractor for skin lesion classification: A preliminary study. In LatinX in AI Workshop at ICML 2023 (Regular Deadline).

Sudha, S., Aguayo, G., Angulo, A., Kothakapu, J., Niyaz, Q., Yang, X., & Javaid, A. (2023). Changes in High-School Student Attitude and Perception Towards Cybersecurity Through the Use of an Interactive Animated Visualization Framework. In 2023 IEEE Global Engineering Education Conference (EDUCON) (pp. 1–10).

Paheding, S., Reyes, A., Devagiri, J., Asari, V., & Alam, M. (2023). U-PEN++: redesigning U-PEN architecture with multi-head attention for retinal image segmentation. In Pattern Recognition and Tracking XXXIV (pp. 1252702).

Paheding, S., & Reyes-Angulo, A. (2023). Forward-Forward Algorithm for Hyperspectral Image Classification: A Preliminary Study. arXiv preprint arXiv:2307.00231.

Paheding, S., Reyes, A., Kasaragod, A., & Oommen, T. (2022). GAF-NAU: Gramian angular field encoded neighborhood attention U-Net for pixel-wise hyperspectral image classification. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 409–417).

Paheding, S., Reyes, A., Alam, M., & Asari, V. (2022). Medical image segmentation using U-Net and progressive neuron expansion. In Pattern Recognition and Tracking XXXIII (pp. 1210102).

Reyes, A., Reinhardt, S., Wise, T., Rawashdeh, N., & Paheding, S. (2022). Gesture Controlled Collaborative Robot Arm and Lab Kit. In Conference for Industry and Education Collaboration 2022.

Angulo, A., Yang, X., Niyaz, Q., Paheding, S., & Javaid, A. (2022). A secure software engineering design framework for educational purpose. In 2022 IEEE International Conference on Electro Information Technology (eIT) (pp. 375–381).

Reyes, A., Paheding, S., Deo, M., & Audette, M. (2022). Gabor Filter-Embedded U-Net with Transformer-Based Encoding for Biomedical Image Segmentation. In International Workshop on Multiscale Multimodal Medical Imaging (pp. 76–88).

Siddique, N., Paheding, S., Reyes Angulo, A., Alom, M., & Devabhaktuni, V. (2022). Fractal, recurrent, and dense U-Net architectures with EfficientNet encoder for medical image segmentation. Journal of Medical Imaging, 9(6), 064004–064004.

Reyes, A., Elkin, C., Niyaz, Q., Yang, X., Paheding, S., & Devabhaktuni, V. (2020). A preliminary work on visualization-based education tool for high school machine learning education. In 2020 IEEE Integrated STEM Education Conference (ISEC) (pp. 1–5).

Reyes, A., Luo, Y., Dhakal, P., Rogers, J., Baker, M., & Yang, X. (2021). An Interactive Software to Learn Pathophysiology with 3D Virtual Models. In Advances in Parallel & Distributed Processing, and Applications: Proceedings from PDPTA'20, CSC'20, MSV'20, and GCC'20 (pp. 825–838).

A. Reyes, A., D. Vaca, F., Castro Aguayo, G., Niyaz, Q., & Devabhaktuni, V. (2020). A machine learning based two-stage Wi-Fi network intrusion detection system. Electronics, 9(10), 1689.