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
Email: steven.fernandes@ieee.org
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- J. S. Pannu, S. Raj, S. L. Fernandes, D. Chakrabarty, S. Rafiq, N. Cady, S. K. Jha.,(2020). Design and Fabrication of Flow-Based Edge Detection Memristor Crossbar Circuits. IEEE Transactions on Circuits and Systems II: Express Briefs, Vol. 67, No. 5, pp. 961-965, (Impact Factor: 3.25)
- S. Raj, J. S. Pannu, S. L. Fernandes, L. L Pullum, A. Ramanathan, S. K. Jha.,(2020). Attacking NIST Biometric Image Softwa.re using Nonlinear Optimization. Pattern Recognition Letters, Vol. 131, pp. 79-84, (Impact Factor: 2.810)
- D. Chakrabarty, S. Raj, S. L. Fernandes, S. K. Jha.,(2019). Input-aware Flow-Based Computing on Memristor Crossbars with Applications to Edge Detection. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, pp. 1–1. (Impact Factor: 3.433)
- S. Jha, S. Raj, S. L. Fernandes, S. K. Jha, S. Jha, B. Jalaian, G. Verma, A. Swami. “Attribution-Based Confidence Metric for Deep Neural Networks”, Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, pp. 11826-11837.
- S. L. Fernandes, S. Raj, R. Ewetz, J. S. Pannu, E. Ortiz, I. Vintila, M. Salter, S. K. Jha. “Detecting Deepfake Videos using Attribution-based Confidence Metric”, Computer Vision and Pattern Recognition Workshop (CVPRW 2020), Seattle, USA, pp. 1250-1259.
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