Aly El Gamal

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 (M.S.), Vishnu Chellapandi (M.S.), Kirthi Sivamani (Undergraduate, Summer ’20 intern at Nvidia), Jinho Yi (Undergraduate).

Alumni

  • Information Theory: Tolunay Seyfi (Ph.D., Now with InterDigital), Manik Singhal (M.S., Now with Apple), Yasemin Karacora (Exchange with Ruhr-University Bochum).

  • Machine Learning and Data Science: 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), 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

Education

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.