Joram Bakekolo, Robust learning (co-advised with Dr. Chinwendu Enyihoa)
Akram Awad, Robust domain adaptation
POSTDOC
Yicong He, Robust and scalable learning
Alan Paris, Neurological signal modeling and processing
FORMER STUDENTS
Ismail Alkhouri, "Adversarial Attacks, Coarse Robustness, and Dataless Neural Networks: Novel Techniques for Improved Classification and Combinatorial Optimization", Spring 2023.
Pouria Saidi (PhD), "Periodicity Estimation Using Representations in Nested Periodic Dictionaries with Applications in Neural Engineering", Fall 2021.
Mahlagha Sedghi (PhD), "In Pursuit of Low-Dimensional Manifold Structures in High-Dimensional Data", Fall 2020.
Andre Beckus (PhD), "Passive Scene Reconstruction in Non-Line-of-Sight Scenarios", Summer 2020.
Davood Mardani (PhD), "Sparse Signal Recovery Under Sensing and Physical Hardware Constraints", Summer 2019.
Ahmed Hemida (PhD), "Game-theoretic Frameworks for Defense Against Network Jamming and Collocation Attacks", Spring 2019.
Mostafa Rahmani (PhD), "Robust, Scalable and Provable Approaches to High-Dimensional Unsupervised Learning", Spring 2018.
Ahmed Aldhahab (PhD) (Co-advised with W. Mikhael), "High Performance Techniques for Face Recognition", Spring 2017.
Alan Paris (PhD) (Co-advised with A. Vosoughi), "Biophysical Sources of 1/f-Type Noises in Neurological Systems", Fall 2016.
Omid Sarayanibafghi (MS), "Compressive and Coded Change Detection: Theory and Application to Structural Health Monitoring", Summer 2016.
Pouria Saidi (MS), "Motor Imagery Classification using Sparse Representation of EEG Signals", Summer 2015.
Edward Jimenez (MS), "Resource Allocation and Load-shedding Policies based on Markov Decision Processes for Renewable Energy Generation and Storage", Spring 2015.
