Aly El Gamal
Computer Science · Purdue University West Lafayette
Publications
138
Citations
1,692
Est. group size
~3
Recurring co-author estimate
Active years
30
Publishing since 1996
Aly El Gamal works at the intersection of wireless communications and machine learning, applying deep learning methods to problems such as radio signal (modulation) classification, channel estimation in wireless systems, and direction-of-arrival estimation in radar. His work also extends into network security (federated learning for intrusion detection) and information-theoretic optimization methods like multi-view learning and information bottleneck techniques.
Publication output was higher and more variable in 2017–2022 (peaking around 2018–2019) but has declined to a lower, steadier level of about 4-6 papers per year since 2023.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Adaptive Load Balancing Strategies in Cloud Computing: A Survey
2025
- FetFIDS: A Feature Embedding Attention based Federated Network Intrusion Detection Algorithm
arXiv (Cornell University) · 2025
- A Racing Dataset and Baseline Model for Track Detection in Autonomous Racing
arXiv (Cornell University) · 2025
- Developing a Transferable Federated Network Intrusion Detection System
arXiv (Cornell University) · 2025
- Deep OFDM Channel Estimation: Capturing Frequency Recurrence
IEEE Communications Letters · 2024
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup
2024
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup
arXiv (Cornell University) · 2024
- Deep OFDM Channel Estimation: Capturing Frequency Recurrence
arXiv (Cornell University) · 2024
- RML22: Realistic Dataset Generation for Wireless Modulation Classification
IEEE Transactions on Wireless Communications · 2023
- Data Centric Approach to Modulation Classification
2023
- A Study on Transferability of Deep Learning Models for Network Intrusion Detection
arXiv (Cornell University) · 2023
- Turbulent flame image classification using Convolutional Neural Networks
Energy and AI · 2022
- Control Challenges for High-Speed Autonomous Racing: Analysis and Simulated Experiments
SAE International Journal of Connected and Automated Vehicles · 2022
- A Linearly Convergent Douglas-Rachford Splitting Solver for Markovian Information-Theoretic Optimization Problems
IEEE Transactions on Information Theory · 2022
- On The Multi-View Information Bottleneck Representation
2022 IEEE Information Theory Workshop (ITW) · 2022
- arXiv (Cornell University)×43
- Cambridge University Press eBooks×10
- IEEE Transactions on Information Theory×4
- IEEE Wireless Communications Letters×3
- IEEE Communications Letters×2
- Yijing Liu
Computer Science · The Ohio State University
- Vaneet Aggarwal
Computer Science · Purdue University West Lafayette
- Ahmed Bendary
Computer Science · The Ohio State University
- Jonathan Ponniah
Computer Science · Indiana University
- Chih-Chun Wang
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile