Posts by Collection

projects

Astro-Turfing Review System

  • The search for applying machine learning to real world problems led me to work in the area of Astro-turfing. This is a filtering model with machine learning algorithm to filter-out the fake reviews and hence the fake reviewers from committing review frauds. I used amazon reviews data sets to built a stochastic model on top of it.

Astro-Turfing Review System

  • The search for applying machine learning to real world problems led me to work in the area of Astro-turfing. This is a filtering model with machine learning algorithm to filter-out the fake reviews and hence the fake reviewers from committing review frauds. I used amazon reviews data sets to built a stochastic model on top of it.

Facial Recognition and Verification System

  • Working with the accuracies and flaw removal strategies with re-implementation of Open-Face/Googles Face-Net, for improving the range of applications in the domain of Security.
  • Resolved the false positive 2-D inputs by introducing more features in Stage 1 (face detection) as a.) Orientation Normalization b.) 3D surface representation.

Facial Recognition and Verification System

  • Working with the accuracies and flaw removal strategies with re-implementation of Open-Face/Googles Face-Net, for improving the range of applications in the domain of Security.
  • Resolved the false positive 2-D inputs by introducing more features in Stage 1 (face detection) as a.) Orientation Normalization b.) 3D surface representation.

Auto-encoder with Memory Defense

  • Currently designing a robust auto-encoder and GAN for detecting adversarial images.
  • Developed a close proximity approximation model which is also known as on manifold adversarial detectors.
  • Enhanced the vanilla auto-encoder to a deep architecture with enforced learning from memory elements.

Auto-encoder with Memory Defense

  • Currently designing a robust auto-encoder and GAN for detecting adversarial images.
  • Developed a close proximity approximation model which is also known as on manifold adversarial detectors.
  • Enhanced the vanilla auto-encoder to a deep architecture with enforced learning from memory elements.

publications

talks

teaching

CSE 017 - Programming and Data Structures (Fall 2019)

Undergraduate Course - Teaching Assistant, Lehigh University, Department of Computer Science & Engineering, 2019

Course Description

  • Instructors -
    • Prof. Arielle Carr - CSE017(010), CSE017(011)
    • Prof. Houria Oudghiri - CSE017(012)

This course will cover the design and implementation of algorithms using Java. It assumes that students have had prior experience using conditional statements, loops, arrays, etc., in Java, and will build on this knowledge to develop a full understanding of proper object-oriented programming, algorithmic techniques (e.g., divide-and-conquer, recursion), and the design of data structures (e.g., queues, stacks, trees).

CSE 017 - Programming and Data Structures (Fall 2020)

Undergraduate Course - Teaching Assistant, Lehigh University, Department of Computer Science & Engineering, 2020

Course Description

  • Instructors -
    • Prof. Houria Oudghiri

This course will cover the design and implementation of algorithms using Java. It assumes that students have had prior experience using conditional statements, loops, arrays, etc., in Java, and will build on this knowledge to develop a full understanding of proper object-oriented programming, algorithmic techniques (e.g., divide-and-conquer, recursion), and the design of data structures (e.g., queues, stacks, trees).

work