CV

Ayesha Samreen

ayesha62@iastate.edu
Ames, IA, USA

Summary

PhD student in Computer Science at Iowa State University

Education

  • Ph.D in Computer Science
    2028 expected
    Iowa State University
  • M.S. in Computer Science
    2023
    The University of Texas at Dallas
  • B.E. in Electronics and Communication Engineering
    2020
    Chaitanya Bharathi Insitute of Technology

Work Experience

  • Graduate Research Assistant
    May 2025 - Present
    Iowa State University
    Conducting research in Responsible and Trustworthy AI with a focus on differential privacy and fairness in deep learning models.
  • Graduate Teaching Assistant
    Jan 2025 - Present
    Iowa State University
    Assisted in delivering lectures and recitations for the computer science undergrad courses. Held weekly office hours to support student learning. Assisted in designing and grading assignments, quizzes, and exams.
  • Enterprise Tools Engineering Intern
    Jun 2023 - Dec 2023
    Staples Inc
    Worked on modernizing the service portal, created ATF test suites, and managed day to day incidents on ServiceNow platform.

Publications

  • PLRV-O: Advancing Differentially Private Deep Learning via Pivacy Loss Random Variable Optimization
    2025
    ACM Conference on Computer and Communications Security (CCS)
    It is a novel framework to design and optimize noise distribution by directly embedding PLRV into noise's PDF. It significantly improves performance under strong privacy constraints.
  • Efficient Fair Learning with Subset Selection
    2023
    UTD Theses and Dissertations
    This work is about fair and efficient machine learning which uses bi-level optimization approach to enhance fairness, overall accuracy, and reduce the computational cost.
  • Brain Tumor Detection by Using Convolution Neural Network
    2020
    International Journal of Online and Biomedical Engineering (iJOE)
    This work aimed to increase the efficiency in detecting brain tumor using convolution neural network.
  • Monitoring of Patient Critical Health Parameters by using a Low-Cost IoT based System
    2020
    Journal of Xidian University
  • Low Cost IoT Based Emission Monitoring System for Thermal Power Plants
    2019
    Innovations in Power and Advanced Computing Technologies (i-PACT)