About
me
ABOUT
Welcome to my website!
I am a Deep Learning engineer and PhD researcher with expertise in Natural Language Processing, Signal Processing, Statistics, and Unsupervised Learning.My primary focus is on developing advanced Deep Learning models for speech and audio processing, with a passion for exploring the limitless possibilities of this cutting-edge technology.
Ph.D. in Computer EngineeringUniversity of Maryland
2020 ‐ Current
B.SC in electronics and communication engineeringAlexandria University, Faculty of Engineering
2015 ‐ 2020
Education
Skills
Below are some of my skills, and I'm always looking to learn more.
Programming Languages
Python, Matlab, C, C++, C#, VHDL, Verilog
Deep Learning
Transformers, GANs, Autoencoders, Unsupervised learning, FairAI
Deep Learning Frameworks
Tensorflow, Pytorch, Scikit learn
Signal Processing
Audio Processing, Speech Processing, Computer Vision and Image Processing
Game Development
Unity Game Engine, VR Development
Others
Linux,Bash,Latex
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Papers
Kid-Whisper: Towards Bridging the Performance Gap in Automatic Speech Recognition for Children VS. Adults
Ahmed Adel Attia, Jing Liu, Wei Ai, Dorottya Demszky, Carol Espy-Wilson, ICASSP 2024 (Under Review)
Improving Speech Inversion Through Self-Supervised Embeddings and Enhanced Tract Variables
Ahmed Adel Attia, Yashish M. Siriwardena, Carol Espy-Wilson. ICASSP 2024 (Under Review)
Masked Autoencoders Are Articulatory Learners
Ahmed Adel Attia, Carol Espy-Wilson. ICASSP 2023
Enhancing Speech Articulation Analysis Using A Geometric Transformation Of The X‐ray Microbeam Dataset
Ahmed Adel Attia, Mark Tiede, Carol Y. Espy-Wilson. Interspeech 2023
Audio Data Augmentation for Acoustic to articulatory Speech Inversion using Bidirectional Gated RNNs
Yashish M. Siriwardena, Ahmed Adel Attia, Ganesh Sivaraman, Carol Espy-Wilson. EUSIPCO 2023
Download
Experience
Jul 2019 ‐ Sep 2019
Deep Learning Research Intern
University Of ArizonaArizona, USA
- Conducted research on Generative Adversarial Networks (GANs) under the supervision of Prof. Ravi Tandon.
- I worked on and helped with different projects on GANs.
- I developed Mutual Information Neural Estimators that achieved over 98% accuracy, and unsupervised Outlier Detection systems.
Jun 2021 ‐ Jan 2022
Deep Learning Consultant
Omnispeech, LLCUS - Remote
- I worked on developing lightweight real‐time speech enhancement deep learning models.
- I successfully scaled down large Speech Enhancement GAN models from 37 million parameters to less than 1 Million parameters, maintaining good clarity and noise cancellation.
- I also developed an efficient data pipeline using TensorFlow Dataset API and TensorFlow profiler for more than a terabyte of audio data achieving optimal performance and ∼ 100% GPU utilization.
2022 ‐ Present
Graduate Research Assistant
University Of MarylandMaryland,USA
- Conducting research to develop Deep Learning and Machine Learning algorithms for acoustic and articulatory speech data to better understand speech production.
- Published a number of papers in top conferences in speech and signal processing and machine learning.
2022 ‐ Present
Graduate Research Assistant
University Of MarylandMaryland,USA
- Conducting research to develop Deep Learning and Machine Learning algorithms for acoustic and articulatory speech data to better understand speech production.
- Published a number of papers in top conferences in speech and signal processing and machine learning.
June 2021 ‐ January 2022
Deep Learning Consultant
Omnispeech, LLCUs ‐ Remote
- I worked on developing lightweight real‐time speech enhancement deep learning models.
- I successfully scaled down large Speech Enhancement GAN models from 37 million parameters to less than 1 Million parameters, maintaining good clarity and noise cancellation.
- I also developed an efficient data pipeline using TensorFlow Dataset API and TensorFlow profiler for more than a terabyte of audio data achieving optimal performance and ∼ 100% GPU utilization.
July 2019 ‐ September 2019
Deep Learning Research Intern
University Of ArizonaArizona, USA
- Conducted research on Generative Adversarial Networks (GANs) under the supervision of Prof. Ravi Tandon.
- I worked on and helped with different projects on GANs.
- I developed Mutual Information Neural Estimators that achieved over 98% accuracy, and unsupervised Outlier Detection systems.
Projects
Below are some selected projects that I have worked on during my industry experience, as well as class and capstone projects. These endeavors highlight my skills and dedication in various professional contexts, showcasing the breadth of my experience and capabilities.
WORK
Efficient Speech Enhancement GANs
Closed Source
Efficient Speech Enhancement GANs
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Optimizing Tensorflow dataset pipeline for large audio dataset
Closed Source
Optimizing Tensorflow dataset pipeline for large audio dataset
VR Hostage Rescue Video Game
Open Source
VR Hostage Rescue Video Game
You Only Look Faster
Open Source
You Only Look Faster