Research interests

• Machine learning
• Deep learning
• Neural network optimization

Selected publications

1. S. Saab Jr., S. Phoha, M. Zhu, and A. Ray, “An Adaptive Polyak Heavy-Ball Method,” Machine Learning, 2022.
2. S. Saab Jr., K. Saab, S. Phoha, M. Zhu, and A. Ray, “A Multivariate Adaptive Gradient Algorithm with Reduced Tuning Efforts,” Neural Networks, 2022.
3. S. Saab Jr, Y. Fu, A. Ray and M. Hauser, “A Dynamically Stabilized Recurrent Neural,” Neural Processing Letters, (2021): 1-15.
4. S. Saab Jr., S. Phoha, M. Zhu, and A. Ray, “An Adaptive Heavy-Ball Method,” International Conference on Machine Learning Workshop in Beyond First-order Methods in ML Systems, 2021.
5. S. Saab, R.  Jaafar, M. Al-Abbas, K. Saab, and S. Saab Jr., “Setting the boundaries of COVID-19 lockdown relaxation measures,” Library Hi Tech, 2021.
6. S. Saab Jr., J. Petrich, S. Phoha and P. Singla, “Initial Orbit Determination of Resident Space Objects with Ck-networks,” Book Chapter in Handbook on Dynamic Data Drive Application Systems (DDDAS) (Vol. II) (In press).
7. S. Saab Jr., M. Hauser, A. Ray and S. Saab, “Multivariable Non-adaptive Controller Design,” IEEE Transactions on Industrial Electronics, 2020.
8. M. Hauser, S. Gunn, S. Saab Jr. and A. Ray, “State Space Representations of Deep Neural Networks,” Neural Computation, 2019.
9. W. Liu, S. Saab Jr., J. Rostami and A. Ray, “Improving the Capability of Joint Detection for Optimized Ground Design by Using Wavelet Analysis,” International Journal of Oil, Gas and Coal Technology (IJOGCT), 2019.
10. S. Saab, K. Saab, S. Saab Jr., “Shuffled Linear Regression with Erroneous Observations,” IEEE Conference on Information Sciences and Systems, 2019.
11. S. Saab Jr. and K. Saab, “A Positioning System for Photodiode Device Using Collocated LEDs,” IEEE Photonics Journal, 2016.
12. K. Saab and S. Saab Jr., “A Stochastic Newton-Raphson Method with Noisy Function Measurements,” IEEE Signal Processing Letters, 2016.
13. K. Saab and S. Saab Jr., “Application of an Optimal Stochastic Newton-Raphson Technique to Triangulation-Based Localization Systems,” IEEE/ION Position, Location and Navigation Symposium, 2016. 

Academic Degrees

B.S. in Electrical Engineering from The Pennsylvania State University (2016)
Ph.D. in Electrical Engineering from The Pennsylvania State University (2021)