Aly El Gamal

Assistant Professor Department of Electrical and Computer Engineering Purdue University Publications Technical Reports Curriculum Vitae Contact Information

Research Group and Mentoring

Aanis Ahmed (Ph.D.), Ahmed Prince (Ph.D.), Rohan Manna (Ph.D.), Shafin Jameel (Ph.D.), Shakti Wadekar (Ph.D.), Teng-Hui Huang (Ph.D.), Shreya Ghosh (Ph.D.), Vishnu Chellapandi (Ph.D.), Varun Aggarwal (Ph.D.), Salah Abdeljabar (Ph.D.), Eliana Martinez (Exchange through Purdue-Colombia Partnership).

Alumni

Tolunay Seyfi (Ph.D., Now with Qualcomm), Manik Singhal (M.S., Now with Apple), Yasemin Karacora (Exchange with Ruhr-University Bochum), Xiaoyu Liu (M.S., Thesis), Rehana Mahfuz (M.S., Thesis, Now with Qualcomm), Sharan Ramjee (Undergraduate, Now at Stanford), Xingchen Wang (Undergraduate, Now at CMU), Kirthi Sivamani (Undergraduate, Now with Nvidia), Jinho Yi (Undergraduate, Now at CMU), Xiwen Zhang (M.S.), Yu-Hsiang Tseng (M.S.), Dwarakanath Jampani (M.S.), Ana Maria Rodriguez (Exchange with Universidad Nacional de Colombia).

Teaching

• Introduction to Deep Learning, Fall 2020 (115 Students, Average Evaluation: 4.3/5 with 86% Participation).
  

• Autonomous Motorsports Purdue (AMP) Vertically Integrated Projects (VIP), Fall 2020 (27 Students including 12 First-Year Students, Average Evaluation: 4.2/5 with Full Participation).
  

• Machine Learning II, Fall 2019 (115 Students, Instructor Evaluation: 4.3/5 with 94% Participation).
  

• Signals and Systems, Fall 2015 (94 Students), Fall 2016 (82 Students), Fall 2017 (88 Students), Spring 2018 (69 Students, Instructor Evaluation: 4.2/5), Fall 2018 (81 Students, Instructor Evaluation: 4.4/5), Spring 2019 (65 Students, Instructor Evaluation: 4.7/5) .
  

• Data Structures, Spring 2016. (108 Students)
  Introduction to Digital System Design, Spring 2017. (300 Students)
  

News

• Received the Office of the Provost's Purdue Online Excellence in Innovative Course Design and Use of Technology Award.
  

• New Paper Accepted: Towards End-to-End Deep Learning for Autonomous Racing: On Data Collection and a Unified Architecture for Steering and Throttle Prediction. 2021 ICRA Workshop on Opportunities and Challenges with Autonmous Racing, May 2021.
  

• New Paper Accepted: A Provably Convergent Information Bottleneck Solution via ADMM. IEEE International Symposium on Information Theory (ISIT), Apr. 2021.
  

• New Paper Accepted: A Number Theoretic Approach for Fast Discovery of Single-Hop Wireless Networks. IEEE Networking Letters, Apr. 2021.
  

• New Paper Accepted: Knowledge Distillation for Wireless Edge Learning. IEEE Statistical Signal Processing Workshop (SSP), May 2021.
  

• New Paper Submitted: Gradient-based Adversarial Deep Modulation Classification with Data-driven Subsampling. Mar. 2021.
  

• New Paper Submitted: Mitigating Gradient-based Adversarial Attacks via Denoising and Compression. Mar. 2021.
  

• New Paper Accepted: Deep Learning for DOA Estimation in MIMO Radar Systems via Emulation of Large Antenna Arrays. IEEE Communications Letters. Jan. 2021.
  

• Talk at the University of Michigan about our FAMILY: Foundations and Applications of Machine Intelligence Lab for societY. Nov. 2020
  

• New Paper Accepted: Data-driven Analysis of Turbulent Flame Images. AIAA Science and Technology Conference 2021.
  

• Co-organizing a Workshop on Edge Learning over 5G networks and beyond at IEEE Globecom 2020.
  

• Serving as a Technical Program Committee Member for the Communication Theory Symposium at IEEE ICC 2021.
  

• New Paper Accepted: Vision Paper: Grand Challenges of Resilience: Autonomous System Resilience through Design and Runtime Measures. IEEE Open Journal of the Computer Society.
  

• New Paper Accepted: Joint Uplink-Downlink Cooperative Interference Management with Flexible Cell Associations. IEEE Transactions on Communications.
  

• New Paper Submitted: Ensemble Wrapper Subsampling for Deep Modulation Classification. [Code]. May 2020.
  

• New Paper Accepted: Non-Intrusive Detection of Adversarial Deep Learning Attacks via Observer Networks. [Code]. IEEE Letters of the Computer Society.
  

• New Paper Accepted: Efficient Training of Deep Classifiers for Wireless Source Identification using Test SNR Estimates. [Modulation Classification Code]. [Channel Identification Code]. IEEE Wireless Communications Letters.
  

• New Paper Accepted: On the Design and Analysis of Optimal Wireless Caching Schemes with Placement Cost and Unlimited Memory. IEEE Wireless Communications Letters.
  

• Serving as Guest Editor for the Special Issue on Machine Learning and AI for the Physical Layer at the IEEE Transactions on Cognitive Communications and Networking.
  

• Serving as a Technical Program Committee Member at the 2020 IEEE International Symposium on Information Theory.
  

• New Paper Accepted: Fundamental Limits of Dynamic Interference Management with Flexible Message Assignments and Separate Deep Fading Block Coding. IEEE Transactions on Information Theory.
  

• Serving as Associate Editor in the area of Machine Learning and AI for Wireless at the IEEE Transactions on Wireless Communications.
  

• Rehana Mahfuz received the Grace Hopper Celebration (GHC) ’19 Student Scholarship to present our accepted work. Title: Mitigating Adversarial Deep Learning Attacks in Architecture Mismatch Settings.
  

• New Paper Accepted: Deep Learning for Interference Identification: Band, Training SNR, and Sample Selection. IEEE SPAWC 2019.
  

• Received the 2019 Purdue Engineering Faculty Summer Fellowship in Europe. Will be visiting Imperial College (London, UK), King's College (London, UK), Telecom Paristech (Paris, France), RUB (Bochum, Germany), Eurecom (Biot, France)
  

Education

• Ph.D. in Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 2014
  Advisor: Professor Venugopal V. Veeravalli
  Dissertation: Interference Channels with Coordinated Multi-Point Transmission

• M.S. in Mathematics, University of Illinois at Urbana-Champaign, 2013
  

• M.S. in Electrical Engineering, Nile University, 2009
  Thesis Title: ‘‘The Two-Way Wiretap Channel: Theory and Practice’’
  Advisors: Professor Moustafa A. Youssef and Professor Hesham El Gamal

• B. S. in Computer Engineering, Cairo University, 2007

Research

I am currently interested in doing research in the areas of machine learning (algorithms, systems, and statistical convergence results), data science (with emphasis on sports applications), and information theoretic ideas for next generation wireless networks.

Journal Reviews

• Several papers for American Mathematical Society Mathematical Reviews
  
  

• Several papers for Journal of Machine Learning Research (JMLR)
  
  

• 10-20 papers for IEEE Transactions on Information Theory
  
  

• 20-30 papers for IEEE Transactions on Wireless Communications
  
  

• Several papers for IEEE Transactions on Communications
  
  

Other Professional Service

• Associate Editor in the area of Machine Learning and AI in Wireless at the IEEE Transactions on Wireless Communications.

• Guest Editor for the Special Issue on Machine Learning and AI for the Physical Layer at the IEEE Transactions on Cognitive Communications and Networking.

• Technical Program Committee Member at the 2020 IEEE International Symposium on Information Theory

• Technical Program Committee Member for the Communication Theory Symposium at IEEE ICC 2021.

• Technical Program Committee Member for IEEE SPAWC 2019 (Responsible for 10 papers).

• Proposal Reviewer for the National Science Foundation (NSF), the Natural Sciences and Engineering Research Counsel of Canada (NSERC) and the Chilean National Science and Technology Commission (FONDECYT).

• Reviewer for American Mathematical Society (AMS) Mathematical Reviews.

• Technical Program Committee Member for IEEE WCNC 2017.

• Reviewer for IEEE Transactions on Signal Processing, IEEE Transactions on Information Forensics and Security, IEEE Journal on Selected Areas in Communications - Signal Processing (JSAC), and several conferences including Allerton, IEEE ISIT, IEEE ICC, IEEE Globecom, IEEE CAMSAP, and IWCIT.

• On-Site registration for 2010 IEEE Information Theory Workshop (ITW) in Cairo.

• Organizing Committee Member for 2012 University of Illinois Coordinated Science Lab (CSL) Student Conference.

• Session Chair in IEEE International Symposium on Information Theory (ISIT ’16), Barcelona, July 2016.