Steven L. Fernandes, PhD

Associate Professor

photo placeholder for Fernandes, Steven L.

Contact

StevenFernandes@creighton.edu
College of Arts and Sciences
Computer Science, Design, Journalism
Computer Science & Informatics
Translational Hearing
HCCA - Hitchcock Center for Communication Art

Steven L. Fernandes, PhD

Associate Professor

Steven Fernandes is an Associate Professor of Computer Science, teaching and mentoring students in computer science, data science, and health informatics. His research focuses on developing advanced deep learning models for computer vision, natural language processing, and medical imaging applications. Prior to joining Creighton, he was a postdoctoral researcher at the University of Central Florida in the Department of Computer Science, contributing to projects funded by the Defense Advanced Research Projects Agency (DARPA), National Science Foundation (NSF), and Royal Bank of Canada (RBC). Before that, he was a postdoctoral researcher at the University of Alabama at Birmingham, Department of Electrical and Computer Engineering, working on National Institutes of Health (NIH)-funded projects in deep learning and medical image processing.

Teaching Interests

  • Machine Learning, Software Engineering, Analytics in Health Informatics, Building Generative AI Applications, Computer Organization, Data Science Capstone, Object Oriented Programming, Generative AI in Health Informatics

Research Focus

Deep Learning
Computer Vision
Natural Language Processing
Deep Reinforcement Learning

Department

Computer Science, Design and Journalism

Position

Associate Professor

Books

  • Jeyabose Andrew, Balas Valentina Emilia, Fernandes Steven L, Advances in heath informatics, intelligent systems, and networking technologies: proceedings of HINT 2024 2025
  • Janapati Ravichander, Sengupta Rakesh, Desai Usha, Fernandes Steven, Tayal Shubham, Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications 2025
  • Fernandes Steven L, Balas Valentina Emilia, Jeyabose Andrew, Advances in Health Informatics, Intelligent Systems, and Networking Technologies Proceedings of HINT 2024 2025
  • Bhardwaj Tushar, Upadhyay Himanshu, Sharma Tarun Kumar, Fernandes Steven Lawrence, Artificial Intelligence in Cyber Security 2023
  • Fernandes Steven Lawrence, Bhardwaj Tushar, Upadhyay Himanshu, Sharma Tarun Kumar, Artificial Intelligence in Cyber Security: Theories and Applications 2023
  • Cox Tim, Fernandes Steven Lawrence, Raspberry Pi 3 cookbook for Python programmers 2018

General

  • Kodipalli Ashwini, Colaco Priscilla, Dasar Santosh, Phillips Samantha, Fernandes Steven L., Ovarian Tumor Diagnosis and Characterization of CT Scan Images Using Ensemble Deep Learning and Explainable AI 2024

Articles

  • Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications
    Cevallos Manuel E., Fernandes Steven L., Cook Carina, Nowlen Frances M., Krudwig Cole J., AI in Communication: A Chatbot to Practice a Clinical Interview in Spanish (BOTES) [Book Chapter] 2025
  • AIoT and Big Data Analytics for Smart Healthcare Applications Volume 5
    Rao Shreyas Suresh, Gatti Rathishchandra R, Fernandes Steven Lawrence, Singh Chandra, A Harisha, Gatty Rohanchandra R, AIoT and Big Data Analytics for Smart Healthcare Applications Volume 5 [Book Chapter] 2023
  • Computer Vision – ECCV 2022 Workshops, Proceedings
    Fernandes Steven L., Krivic Senka, Sharma Poonam, Jha Sumit K., Attribution-Based Confidence Metric for Detection of Adversarial Attacks on Breast Histopathological Images [Book Chapter] 2023

Publications

  • Journal of nursing education and practice
    Schwartz Misty, Fernandes Steven, Stone John R., Doll Joy, Reflections and insights from real-world cases in nursing higher education
    16:1, p. 12 - 21 2026
  • Diagnostics (Basel)
    Chakrapani Pavithra Kodiyalbail, Fernandes Steven, Bhandary Sulatha Venkataraya, Tulsani Akshat, Kumar Preetham, Maiya Geetha, Self-Supervised Representation Learning for Data-Efficient DRIL Classification in OCT Images
    15:24, p. 3221 2025
  • IEEE access
    Pavithra K. C., Bhandary Sulatha V., Kumar Preetham, Geetha M., Rao Guruprasad, Fernandes Steven, Tulsani Akshat, Shenoy K. B. Ajitha, Transformer-Based DME Classification Using Retinal OCT Images Without Data Augmentation: An Evaluation of ViT-B16 and ViT-B32 With Optimizer Impact
    13, p. 180781 - 180798 2025
  • Diagnostics (Basel)
    Guha Srirupa, Kodipalli Ashwini, Fernandes Steven L., Dasar Santosh, Explainable AI for Interpretation of Ovarian Tumor Classification Using Enhanced ResNet50
    14:14, p. 1567 2024
  • Diagnostics (Basel)
    Kodipalli Ashwini, Dasar Santosh, Fernandes Steven L., An Empirical Evaluation of a Novel Ensemble Deep Neural Network Model and Explainable AI for Accurate Segmentation and Classification of Ovarian Tumors Using CT Images
    14:5, p. 543 2024
  • Intelligent decision technologies
    Holmes Kristen, Sharma Poonam, Fernandes Steven, Facial skin disease prediction using StarGAN v2 and transfer learning
    17:1, p. 55 - 66 2023
  • International journal of e-health and medical communications
    Kodipalli Ashwini, Ismail Taha, Dasar Santosh K., Fernandes Steven L., Computational Framework of Inverted Fuzzy C-Means and Quantum Convolutional Neural Network Towards Accurate Detection of Ovarian Tumors
    14:1, p. 1 - 16 2023
  • Computers, materials & continua
    Goyal Bhawna, Goyal Vishal, Dogra Ayush, Khoond Rahul, Lepcha Dawa Chyophel, Fernandes Steven L., Medical Image Fusion Based on Anisotropic Diffusion and Non-Subsampled Contourlet Transform
    76:1, p. 311 - 327 2023
  • Intelligent decision technologies
    Fernandes Steven L., Zhang Yu-Dong, Lin Hong, Tavares Joao Manuel R. S., Peter J. Dinesh, Special Issue: Intelligent Healthcare and Biometric Applications using Deep Learning
    17:1, p. 13 - 15 2023

Presentations

  • Training for Difficult Healthcare Conversations using an AI Chatbot 2025
  • Training nursing students in difficult conversations using AI chatbots 2025
  • Enhancing Difficult Conversation Skills Using an AI Chatbot 2025
  • Navigating Difficult Conversations in Healthcare: The Use of AI Chatbots in Training Undergraduate and Graduate Nursing 2025
  • Development of Synthetic Palliative Care Data through Generative Adversarial Networks 2025
  • Navigating difficult conversations in healthcare: The use of AI chatbots in training undergraduate and graduate nursing students 2025
  • AI-Driven Simulation and Training for Intimate Partner Violence 2025
  • Enhancing Difficult Conversation Skills Using an AI Chatbot 2025
  • Enhancing Compassionate Palliative Care with AI 2024
  • Training for Difficult Healthcare Conversations using an AI Chatbot -0001

Grants

  • TAKAI: Teaching Human Anatomy with Artificial Intelligence/Sponsor: Dr. George F. Haddix President's Faculty Research Grant

  • Interpretable Deepfake Detection: Leveraging Feature Attribution and One-Shot Test-Time Training for Improved Confidence Metrics and Visual Explainability/Sponsor: University of Nebraska, Lincoln/UNL

  • Enhancing Compassionate Palliative Care with AI: Respecting Human Dignity and Cultural Diversity/Sponsor: Kingfisher Institute

  • Navigating Difficult Conversations in Healthcare: The Use of AI Chatbots in Training Undergraduate and Graduate Nursing Students/Sponsor: CURAS Magis Investigatio Research Award/MIRA

  • AI Enhanced Fall Prevention/Sponsor: American Nurses Association

  • Enhancing Pharmacy Student Skills through AI-Driven Patient Counseling Simulations/Sponsor: Creighton University Center for Faculty Excellence/CFE

  • Integrating AI-Generated Feedback with the C-ICE 2.0 to Evaluate Interprofessional Team Behaviors in Emergency Simulations/Sponsor: Creighton University Center for Faculty Excellence/CFE

  • Developing a Custom Chatbot for Medical School Personal Statements/Sponsor: Creighton University Center for Faculty Excellence/CFE

  • Enhancing AI Feedback for Medical School Personal Statements/Sponsor: CURAS Magis Investigatio Research Award/MIRA

  • Development of a BMI/BP Calculator and Data Management System to Improve Health Outcomes/Sponsor: Criss Beirne Faculty Research Award

  • AI Chatbot for Training Nursing Students in De-escalating Verbal Aggression/Sponsor: Criss Beirne Faculty Research Award

  • Enhancing Dental Education Through Artificial Intelligence: Improving Student Detection of Tonsilloliths in Panoramic Radiographs/Sponsor: Creighton University Center for Faculty Excellence/CFE

  • Enhancing Pharmacy Student Skills Through AI-Driven Patient Counseling Simulations/Sponsor: Dr. George F. Haddix President's Faculty Research Grant

  • AI-Driven Detection and Equity-Centered Prevention of Hospital-Acquired Pressure Injuries (HAPIs)/Sponsor: Dr. George F. Haddix President's Faculty Research Grant

  • Bridging Disciplines in Collaborative Service-Learning Projects for Sustainable Open Source Initiatives/Sponsor: Dr. George F. Haddix President's Faculty Research Grant

  • Web-based, AI-Enhanced Shared Decision-Making Support System for Relapsed, Refractory Multiple Myeloma/Sponsor: Dr. George F. Haddix President's Faculty Research Grant