Postdoctoral Research Experience:
- University of Central Florida, FL
- Department of Computer Science
- Research area: Deep learning for biometric applications
- Funding agencies: RBC, DARPA, NSF
- Duration: 1 year, 10 months
- University of Alabama at Birmingham, AL
- Department of Electrical and Computer Engineering
- Research area: Deep learning for medical image processing
- Funding agency: NIH
- Duration: 1 year, 2 months
Education:
- Ph.D. in Electronics and Communication Engineering
- Karunya Institute of Technology and Sciences
- Research area: Machine learning for biometric applications
- Duration: 4 years, 8 months
Selected 3 Publications:
- Jha, S., Raj, S., Fernandes, S., Jha, S.K., Jha, S., Jalaian, B., Verma, G. and Swami, A., 2019. Attribution-based confidence metric for deep neural networks. In Advances in Neural Information Processing Systems (pp. 11826-11837).
- Fernandes, S., Raj, S., Ewetz, R., Singh Pannu, J., Kumar Jha, S., Ortiz, E., Vintila, I. and Salter, M., 2020. Detecting Deepfake Videos Using Attribution-Based Confidence Metric. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (pp. 308-309).
- Pannu, J.S., Raj, S., Fernandes, S.L., Chakraborty, D., Rafiq, S., Cady, N. and Jha, S.K., 2020. Design and Fabrication of Flow-Based Edge Detection Memristor Crossbar Circuits. IEEE Transactions on Circuits and Systems II: Express Briefs, 67(5), pp.961-965.
Email: steven.fernandes@ieee.org