Open to New Opportunities: I am currently on the job market seeking roles in Applied ML/AI, Responsible AI, Speech, and Privacy in AI, in industrial and academic research labs. My research experience includes work on speech-related machine learning models such as speech recognition, keyword spotting, voice cloning, and speaker identification, and generative AI for image generation and manipulation for face recognition applications, and LLMs governance. I also have experience on privacy-preserving techniques such as differential privacy and training on private data.
I am a Ph.D. dissertator in the Electrical and Computer Engineering Department at the University of Wisconsin–Madison, under the supervision of Prof. Kassem Fawaz at WI-PI lab. My research interests lie at the intersection of Security & Privacy, Machine Learning, Systems, and fair and trustworthy artificial intelligence. Through my research, I examine the risks posed by ML algorithms and develop robust systems to mitigate these risks and empower users with agency over their personal data. Specifically, I have explored different ubiquitous ML applications encompassing various data modalities such as speech, text, and vision. Check my research statement for more details.
In the past, I made research contributions to Massive MIMO for wireless communications as well as Analog and RF IC design.
PhD in Electrical and Computer Engineering, 2017–Present
University of Wisconsin–Madison
MS in Electrical and Computer Engineering, 2014–2017
Ain Shams University
BS in Electrical and Computer Engineering, 2007–2012
Ain Shams University
Sept 2023: I have been selected for EECS Rising Stars, Georgia Tech.
Sept 2023: News coverage of our paper Tubes Among US: Analog Attack on Automatic Speaker Identification on Newspaper, Online platforms, NPR Radio, Podcast, News 3 Now TV (CBS affiliate), UW–Madison Campus News, UW–Madison social media
Aug 2023: Presented our work Tubes Among Us at USENIX Security'23
May 2023: I will be teaching ECE697: Capstone Project in Machine Learning and Signal Processing for the Professional Master program at UW–Madison.
Feb 2023: Notable Reviewer recognition at 1st IEEE Conference on Secure and Trustworthy Machine Learning (SatML)
Sept 2022: Presented at the DARPA GARD (Guaranteeing AI Robustness Against Deception) program
Course: ECE 697: Capstone Project in Machine Learning and Signal Processing
Robust Training Techniques for Keyword Spotting, under the supervision of Dr. Anthony Stark and Dr. Jian Wu