Peer-reviewed Publications:
[SPIE-DCS26] Jonathan Perry, Pragathi Durga Rajarajan, Amanda S. Fernandez. An Empirical Study of Sample Utility with Preferential Pruning. SPIE Defense & Security Conference on Machine Learning on Challenging Data (MLCD), 2026.
[SPIE-DCS26] Logan Robinson, Amanda S. Fernandez. `MatFusion: Multimodal Fusion for Experimental Science. SPIE Defense & Security Conference on Machine Learning on Challenging Data (MLCD), 2026.
[SPIE-DCS26] Michael Nootbaar, Amanda S. Fernandez. ``Mars Spectrometry Analysis through Transformer-based Deep Learning. SPIE Defense & Security Conference on Machine Learning on Challenging Data (MLCD), 2026.
[CVPR-W25] Daniel Mohanadhas, Logan Robinson, John Wilburn, Kosi Atupulazi, Michelle Voges, Cyana Zaragosa, Patrick Warren, Elizabeth S. Sooby, Amanda S. Fernandez. Multimodal Approaches for Realistic Synthetic Data Generation in Materials Fabrication. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Multimodal Models for Materials (MM4Mat), Nashville TN, June 2025. [non-archival]
[CVPR-W25] Logan Robinson, Pedro Davila, Sergio Contreras, Durga Rajarajan, Daniel Castillo, Michelle Voges, Cyana Zaragosa, Patrick Warren, Elizabeth S. Sooby, Amanda S. Fernandez. Evaluation and a New Benchmark for Defect Detection in Materials Fabrication. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Multimodal Models for Materials (MM4Mat), Nashville TN, June 2025. [non-archival]
[SADM25] Brian Bell, Michael Geyer, David Glickenstein, Keaton Hamm, Carlos Scheidegger, Amanda Fernandez, Juston Moore. Persistent Classification: Understanding Adversarial Attacks by Studying Decision Boundary Dynamics. Statistical Analysis and Data Mining: The ASA Data Science Journal, February 2025. [paper]
[SMT25] Sabiha Younus, Patrick Warren, Scott Schier, Allyssa Batemen, Michelle Voges, Cyana Zargosa, Ana Stevanovic, Amanda Fernandez, Brian Jaques, Elizabeth Sooby. High Temperature Steam Oxidation of Laser Powder Bed Fusion Printed Stainless Steel. SMT 2025.
[ASEE25] Jina Wilde, Michael Zawatski, Darean Wilde, Emiliano Beltran}, Amanda S. Fernandez, Timothy Yuen. Computer Science Professional Development for Middle and High School Teachers: Insights from Three Cohorts. ASEE Annual Conference & Exposition, 2025.
[CCSC-NE25] Amanda S. Fernandez, David Patrick, Mauricio Gomez, Kimberly A. Cornell. Incorporating LLM Activities into Established CS1 Curriculum: An Experience Report. Conference for the Consortium for Computing Sciences in Colleges Northeast Region (CCSC-NE), Brockport NY, April 2025. [materials]
[SIGCSE25] Amanda S. Fernandez. A Course-based Undergraduate Research Experience (CURE) Focused Broadly on Research Methods in Computer Science. Proceedings of the ACM Technical Symposium on Computer Science Education, Pittsburgh PA, February 2025. [paper][materials]
[ICPR24] Ethan Payne, David Patrick, Amanda S. Fernandez. Explaining Model Parameters Using the Product Space. IAPR International Conference on Pattern Recognition (ICPR), Kolkata India, December 2024. [paper][code]
[ICPR24] Ethan Payne, David Patrick, Amanda S. Fernandez. Visualizing and Generalizing Integrated Attributions. IAPR International Conference on Pattern Recognition (ICPR), Kolkata India, December 2024. [paper][code]
[NLPIR24] Mario Flores, John Quarles, Anthony Rios, Michael Rushforth, Samuel Ang, Brock Wilson. A Dataset for the Prediction of Spanish Language Fluency by Quantification of Linguistic Components with Artificial Intelligence. ACM International Conference on Natural Language Processing and Information Retrieval (NLPIR), Okayama Japan, December 2024.
[SIGCSE24] Amanda S. Fernandez, Kimberly A. Cornell. CS1 with a Side of AI: Teaching Software Verification for Secure Code in the Era of Generative AI. Proceedings of the ACM Technical Symposium on Computer Science Education, 2024. [paper][materials]
[SIGCSE24] Jina Wilde, Emiliano Beltran, Michael J. Zawatski, Amanda S. Fernandez, Priya V. Prasad, Timothy T. Yuen. Experiences in Delivering Online CS Teacher Development. Proceedings of the ACM Technical Symposium on Computer Science Education , 2024. [paper]
[SIGCSE24] Amanda S. Fernandez. Generalizing the CS Course-based Undergraduate Research Experience (CURE). Proceedings of the ACM Technical Symposium on Computer Science Education (Poster), 2024.
[IEEEAccess] Christopher Snyder, Katherine I Montoya, David Patrick, Jordan Stone, Daniel Mohanadhas, Elizabeth S Sooby, Amanda S Fernandez. Semantic Segmentation of Micrographs for Nuclear Fuel Analysis and Degradation Quantification. IEEE Access, November 2023. [paper][dataset]
[ICML-W23] Brian Bell, Michael Geyer, David Glickenstein, Amanda Fernandez, Juston Moore. An Exact Kernel Equivalence for Finite Classification Models. International Conference on Machine Learning (ICML) Workshop on Topology, Algebra, & Geometry (TAG-ML), 2023. [paper]
[ICML-W23] Michael Geyer, Brian Bell, Amanda S Fernandez, Juston Moore. On the Relationship Between Data Manifolds and Adversarial Examples. International Conference on Machine Learning (ICML) Workshop on Topology, Algebra, & Geometry (TAG-ML), 2023. [paper]
[VR23] Samuel Ang, Amanda Fernandez, Michael Rushforth, John Quarles. You Make Me Sick! The Effect of Stairs on Presence, Cybersickness, and Perception of Embodied Conversational Agents. IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2023. [paper]
[IEEEAccess]: Edmond Adib, Amanda S Fernandez, Fatemeh Afghah, John J Prevost. Synthetic ECG Signal Generation using Probabilistic Diffusion Models. IEEE Access, July 2023. [paper]
[SIGCSE23] Michael Zawatski, Priya Prasad, Emily Bonner, Maria Arreguin, Crystal Kalinec-Craig, Jina Wilde, Darean Wilde, Amanda Fernandez, Timothy Yuen. Creating CS Advocates with In-Service High School Teachers. In the Proceedings of the 54th ACM Technical Symposium on Computer Science Education (SIGCSE), Poster - March 2023. [poster abstract]
[ICIP22]: Ethan Payne, Amanda Fernandez. Defining Point Cloud Boundaries Using Pseudopotential Scalar Field Implicit Surfaces. In IEEE International Conference on Image Processing (ICIP), 2022. [paper]
[WACV-W22]: David Patrick, Michael Geyer, Richard Tran, Amanda Fernandez. Reconstructive Training for Real-World Robustness in Image Classification. In WACV Workshop for Dealing with Novelty in Open Worlds, 2022. [paper]
[ECCV-W20]: Jonathan Perry, Amanda Fernandez. EyeSeg: Fast and Efficient Few-Shot Semantic Segmentation. In ECCV Workshop on OpenEDS, (virutal talk due to COVID19), 2020. [paper] [video]
[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] [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]
[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]
[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]
[ICCV-W19]: 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]
[ISVC19]: Amanda Fernandez. On The Salience of Adversarial Examples. Advances in Visual Computing, International Symposium on VIsual Computing, Lake Tahoe, NV, 2019. [paper]
[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]
[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]
[ICCE16]: Amanda Danko, Gabriel Fernandez. My brain is my passport. Verify me.. IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, 2016. [paper]
[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]
[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]