Projects

Robust Graph Learning in the Presence of an Eavesdropper.

Paper

Spectral Coarsening for Scalable Graph Embedding.

Paper

Hyperparameter Recommender System.

Paper Code

A Dissection and Evaluation of Scene Recognition Algorithms.

Paper Code

Data Compression via Variational Autoencoders and Lloyd Max.

Paper

High Dimensional Graphical Estimation.

Slides

Analysis of Stochastic Gradient Descent.

Technical Report

Automotive IOT- Connected Vehicles.

Technical Report

Optimization Decomposition Methods with Applications to Networks.

Technical Report

Cognitive Audio - Intra Vehicle Communication.

Slides Poster Code

Capacity of the MIMO Channel.

Slides

Selected

Coursework

At Cornell:

  • CS 6700: Advanced Artificial Intelligence
  • CS 6780: Advanced Machine Learning
  • CS 6787: Advanced Machine Learning Systems
  • CS 6670: Computer Vision
  • CS 6241: Numerical Methods for Data Science
  • CS 6820: Analysis of Algorithms
  • CS 2043: UNIX Tools and Scripting
  • ECE 6680: Multi-Agent Systems
  • ECE 5999: Randomized Algorithms
  • ECE 5620: Data compression
  • MATH 7740: Statistical Learning Theory

At Ohio State:

  • ECE 5759: Nonlinear Programming
  • ECE 5200: Digital Signal Processing
  • ECE 5000: Analog and Digital Communication
  • ECE 5011: Antennas
  • ECE 5101: Wireless Networks
  • ECE 6101: Computer Communication Networks
  • CS 2122: Algorithms and Data Structures

Teaching

I was a teaching assistant for:

  • ECE 2100: Circuits for Electrical and Computer Engineers (Fall 2019)

Awards

  • Awarded the Irwin and Joan Jacobs Fellowship from Cornell University
  • Awarded the Undergraduate Research Scholarship from Ohio State's Honors Committee
  • Inducted into Phi Kappa Phi, Tau Beta Pi and Etta Kappa Knu honor societies
  • Awarded a prestigious four year full ride scholarship from Libya's Ministry of Higher Education
  • Ranked 4th (out of > 60,000) nationwide in Libya's joint high school exit exams

Contact