Research interests are theoretical and applied aspects of Digital Design, Computer Architecture, and AI: Deep Learning Networks, analogies to biological systems, design and implementation via digital devices and programmable hardware.

• UTEP Academy of Distinguished Teachers (01/01/2019-12/31/2019)
• UT Regents' Outstanding Teaching Award (01/01/2009-12/31/2009)
• Miguel Izqueirdo Award for Teaching (01/01/2006-12/31/2006)
• UT Chancellor's Council Outstanding Teaching Award (01/01/2004-12/31/2004)
• Lockheed Martin Award for Teaching Excellence (01/01/2003-12/31/2003)
• IEEE Millennium Medal Award (01/01/2001-12/31/2001)
• Dean Eugene Thomas Award for Outstanding Faculty Member (01/01/2000-12/31/2000)
• NASA Faculty Award for Research (01/01/1999-12/31/1999)

• Ph D in Electrical Engineering, New Mexico State University (1995)
• MSEE in Electrical Engineering, New Mexico State University (1982)
• BSEE in Electrical Engineering, New Mexico State University (1980)

• Trends and strategies to optimize training processes to decrease learning time in Deep Neural Networks Springer Book Series: Transactions on Computational Science & Computational Intelligence (2022), Miroslava Barua, Patricia A. Nava.
• Hardware for Quantized Mixed-Precision Deep Neural Networks Proceedings of the 2022 IEEE 15th Dallas Circuit And System Conference (DCAS) (2022), Andres Rios, Patricia A. Nava.
• Short-Term Electricity Market Price Forecasting based on De-noised Wavelets and NARX Neural Networks – Data Analytics Approach Proceedings of the 21st International Conference on Artificial Intelligence (ICAI’19) (2019), Rossana Villegas, Patricia A. Nava, Axel Vasquez Montano.
• Domain specific architectures: hardware acceleration for machine/deep learning Proceedings of SPIE Defense+Commercial Sensing 2019 11013 (2019): Disruptive Technologies in Information Sciences II (2019), Angel I. Solis, Patricia A. Nava.
• Data Mining-based Techniques in Critical Operation of Electrical Transmission and Distribution Systems in a Natural Disaster Event: Future Direction Review Proceedings of the 13th Annual IEEE International Systems Conference (SYSCON 2019) (2019), Rossana Villegas, Patricia A. Nava, Miroslava Barua.

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