Amanda Fernandez

Ph.D., Assistant Professor
Department of Computer Science, University of Texas at San Antonio
Office: NPB 3.324
Email: amanda DOT fernandez AT utsa DOT edu
Phone: (210) 458-4146
Address: One UTSA Circle, University of Texas at San Antonio, San Antonio, TX 78249-1604

Teaching

Research

Dr. Fernandez is the Primary Investigator in the UTSA Vision and Artificial Intelligence Lab (VAIL).

VAIL constructs deep theoretical models, considering adversarial examples and cybersecurity approaches and applying these models to breadth of real-world technologies.

Focus areas include artificial intelligence, deep learning, and computer vision.

Funding

Grants
  • Co-PI: "Towards Statistical and Adaptive Learning in Edges for Smart Health Applications in Connected Communities with Security and Privacy Enforcements" UTSA Transdisciplinary Teams (T2) Research Award. PI: Dakai Zhu. Co-PI: Jeff Prevost, Keying Ye, Amanda Fernandez, Wei Wang. 5/2020 - 4/2021. $50,000
  • Co-PI: "CS4SA-HS: Developing a collaborative of secondary computer science teachers to increase Latinx participation in CS" NSF CSForAll. PI: Timothy Yuen. Co-PI: Priya Prasad, Crystal Kalinec-Craig, Amanda Fernandez, Maria Guadalupe, Emily Bonner. 2019 - 2022. $999,556
  • Senior Personnel: "CONNECT- the CONsortium on Nuclear sECurity Technologies" DOE NNSA Minority Serving Institutions Partnership Program, DE-FOA-0002013. PI: Kelly Nash. Co-PI: Elizabeth Sooby Wood, Harry Millwater, Miltos Alamaniotis. Senior Personnel: Amanda Fernandez. 2019 - 2022. $2,999,995
  • Co-PI: "Developing a Computer Science Core for a DataScience+X Joint Major", Innovative Course Redesign Grant - UTSA Provost Innovation and Course Redesign Grant. PI: Weining Zhang, Co-PIs: Jianwei Niu, Timothy Yuen, Amanda Fernandez. 2019. $29,890
  • PI: "Creating an Artificial Intelligence Agent as a Teaching Assistant" UTSA Provost Teaching Innovation Grant. PI: Amanda Fernandez. 2017. $5,000

Awards & Gifts
  • Co-PI: National Center for Women & Information Technology (NCWIT) Gift. PI: Jianwei Niu, Co-PI: Amanda Fernandez, Kimberly Ward, Matthew Gibson. 2018. $10,000

Publications

Conferences & Journals:
  • [ECCVW20]: Jonathan Perry, Amanda Fernandez. EyeSeg: Fast and Efficient Few-Shot Semantic Segmentation. In ECCV Workshop on OpenEDS, (virutal talk due to COVID19), 2020. [paper] [bibtex]
  • [IC2E20]: Hamidreza Moradi, Wei Wang, Amanda Fernandez, and Dakai Zhu. uPredict: A User-Level Profiler-Based Predictive Framework in Multi-Tenant Clouds. IEEE International Conference on Cloud Engineering, (virtual talk due to COVID19), 2020. [paper] [bibtex] [video]
  • [Computers & Security]: Waqas Haider, Nour Moustafa, Marwa Keshk, Amanda Fernandez, Kim-Kwang Raymond Choo, Abdul Wahab. FGMC-HADS: Fuzzy Gaussian mixture-based correntropy models for detecting zero-day attacks from linux systems. Computers & Security, Elsevier, volume 96, p101906. 2020. [paper] [bibtex]
  • [JCERP]: Jeong Yang, Young Lee, Amanda Fernandez, and Joshua Sanchez. Evaluating and Securing Text-Based Java Code through Static Code Analysis. Journal of Cybersecurity Education, Research and Practice (JCERP), 2020. [paper] [bibtex]
  • [IEEEAccess]: Shahzeb Haider, Adnan Akhunzada, Iqra Mustafa, Tanil Bharat Patel, Amanda Fernandez, Kim-Kwang Raymond Choo, and Javed Iqbal. A Deep CNN Ensemble Framework for Efficient DDoS Attack Detection in Software Defined Networks. IEEE Access, February 2020. [paper] [bibtex]
  • [ICCVW19]: Jonathan Perry, Amanda Fernandez. MinENet: A Dilated CNN for Semantic Segmentation of Eye Features. In IEEE ICCV Workshop on OpenEDS Challenge, Seoul, South Korea, 2019. [paper] [bibtex]
  • [ISVC19]: Amanda Fernandez. On The Salience of Adversarial Examples. Advances in Visual Computing, International Symposium on VIsual Computing, Lake Tahoe, NV, 2019. [paper] [bibtex]
  • [BiOS17]: Eric Schroeder, Nicholas Walker, and Amanda Danko. Wearable ear EEG for brain interfacing. SPIE BiOS Neural Imaging and Sensing, San Francisco, CA, 2017. [paper] [bibtex]
  • [DCS16]: Gabriel Fernandez, Amanda Danko.Addressing the vulnerabilities of pass-thoughts. SPIE Defense + Security (DCS): Signal Processing, Sensor/Information Fusion, and Target Recognition, Baltimore, MD, 2016. [paper] [bibtex]
  • [ICCE16]: Amanda Danko, Gabriel Fernandez. My brain is my passport. Verify me.. IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, 2016. [paper] [bibtex]
  • [ICCE15]: Amanda Danko, Siwei Lyu. Better together: Fusing visual saliency methods for retrieving perceptually-similar images. IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, 2015. [paper] [bibtex]
  • [EI15]: Amanda Danko, Siwei Lyu. Fused Methods for Visual Saliency Estimation. SPIE Electronic Imaging, Symposium on Image Processing: Machine Vision Applications, San Francisco, CA, 2015. [paper] [bibtex]

Patents:
  • Amanda S. Fernandez, Biometric signal analysis for communication enhance- ment and transformation, US 10,579,742. (2020)
  • Kevin Fiedler, Don Livesay, Amanda S. Danko, Michael Szentes, Systems and methods for proximate event capture, US 10,513,271. (2019)
  • Carlos Chavez, Amanda S. Danko, Kevin Fiedler, Michael Szentes, John Harri- son, 360 degree vehicle camera accident monitoring system, US 10,504,302. (2019)
  • Amanda S. Fernandez, Rick Swenson, Authentication based on through-body signals, US 10,410,446. (2019)
  • Kevin Fiedler, David Livesay, Amanda S. Danko, and Michael Szentes, Systems and methods for proximate event capture, US 10,336,343. (2019)
  • Charles L. Oakes, III, Bradly J. Billman, Wayne M. Hartman, Amanda Danko, Assessing potential water damage, US 10,289,760. (2019)
  • Amanda S. Fernandez, Access control based on rhythmic pattern repetition, US 10,269,196. (2019)
  • Amanda S. Fernandez, Rick Swenson, Authentication based on through-body signals detected in body area networks, US 10,255,738. (2019)
  • Amanda Danko, Vehicle Identification Number Capture, US 10,181,087. (2019)
  • Amanda S. Fernandez, Rick Swenson, Location verification based on environ- mental sensor data, US 10,136,327. (2018)
  • Kevin Fiedler, David Livesay, Amanda S. Danko, and Michael Szentes, Systems and methods for proximate event capture, US 10,023,201. (2018)
  • Amanda S. Fernandez, Access control based on rhythmic pattern repetition, US 10,002,474. (2018)
  • Amanda S. Fernandez and Rick Swenson, Location verification based on envi- ronmental sensor data, US 9,967,750. (2018)
  • Amanda S. Danko, Vehicle Identification Number Capture, US 9,886,642. (2018)
  • Amanda S. Danko, Vehicle Identification Number Capture, US 9,390,339. (2016)
  • Amanda S. Danko, Vehicle Identification Number Capture, US 9,036,040. (2015)

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