I received my Ph.D. in Computer Science from the University of Rochester in 1997. Since 2005, I have been an associate professor in Computer Science at UTEP.

• Nominated by Computer Science Department and College of Engineering for the Texas Regents Teaching Award

• Ph D in Computer Science, University of Rochester (1997)
• MS in Computer Science, The University of Texas at El Paso (1991)
• BS in Industrial Engineering, Instituto Tecnológico de Chihuahua (1989)

• Boundary Aware U-Net for Glacier Segmentation (2023), Bibek Aryal, Katie E. Miles, Sergio A. Vargas-Zesati, Olac Fuentes.
• Effects of scale on segmentation of Nissl--stained rat brain tissue images via convolutional neural networks 35 (2022), Alexandro Arnal, Olac Fuentes.
• Improving Crowdsourcing-Based Image Classification Through Expanded Input Elicitation and Machine Learning Frontiers in artificial intelligence 5 (2022), Romena Yasmin, Md M. Hassan, Joshua T. Grassel, Harika Bhogaraju, Adolfo R. Escobedo, Olac Fuentes.
• Physics-Informed Long-Short Term Memory Neural Network Performance on Holloman High-Speed Test Track Sled Study 85840 (2022), Jose Perez, Rafael Baez, Jose Terrazas, Arturo Rodriguez, Daniel Villanueva, Olac Fuentes, Vinod Kumar, Brandon Paez, Abdiel Cruz.
• Automated Semantic Segmentation of Arctic Shorelines using High-Resolution Imagery, Spectral Indices and Weakly Supervised Machine Learning Approaches Remote Sensing 13 22 (2021), Bibek Aryal, Stephen Escarzaga, Sergio A. Vargas Zasati, Miguel Velez-Reyes, Olac Fuentes, Craig E. Tweedie.
• Enhancing Image Classification Capabilities of Crowdsourcing-based Methods through Expanded Input Elicitation Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (2021), Romena Yasmin, M. Mahmudulla Hassan, Joshua Grassel, Olac Fuentes, Adolfo Escobedo.
• Predicting Solar X-ray Flux Using Deep Learning Techniques International Joint Conference on Neural Networks (IJCNN 2020) (2020), Sumi Dey, Olac Fuentes.
• Local Context Normalization: Revisiting Local Normalization CVPR 2020 (2020), Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic.
• Using Prosody to Find Mentions of Urgent Problems in Radio Broadcasts Speech Prosody (2020), Nigel Ward, James A. Jodoin, Anindita Nath, Olac Fuentes.
• Why Rectified Linear Neurons Are Efficient: A Possible Theoretical Explanation Springer (2020), Olac Fuentes, Justin Parra, Elizabeth Y. Anthony, Vladik Y. Kreinovich.
• Improving Weight Initialization of RELU and Output Layers 28th International Conference on Artificial Neural Networks (ICANN 2019) (2019), Diego Aguirre, Olac Fuentes.
• How to Best Apply Neural Networks in Geosciences: Towards Optimal 'Averaging' in Dropout Training Springer (2019), Afshin Gholamy, Justin Parra, Olac Fuentes, Vladik Y. Kreinovich, Elizabeth Y. Anthony.

• Hindbrain catecholaminergic and non-catecholaminergic neuronal populations rapidly recruited during glycemic challenge: A fluorescent cell-detecting deep learning model for high-throughput tabulation and atlas-based mapping (2022), Volume San Diego, CA, Geronimo P. Tapia, Alexandro Arnal, Sarah D. Chenausky, Jessica V. Salcido Padilla, Vanessa I. Navarro, Kenichiro Negishi, Sivasai Balivada, Olac Fuentes, Arshad Khan.

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