Prudhviraj Naidu

PhD Student in Computer Science
Email: your.email@domain.com
GitHub: github.com/prudhvirajn
Website: prudhvirajn.github.io

Education

PhD in Computer Science (Expected: Year)
University Name
Dissertation: [Your dissertation title]
Advisor: [Advisor Name]

[Previous Degree] (Year)
University Name
GPA: X.X/4.0

Research Interests

  • Machine Learning: Deep learning, neural network testing, metamorphic testing
  • Software Engineering: Software testing methodologies, quality assurance
  • Information Retrieval: Scientific document retrieval, multi-level aspect-based queries

Publications

Journal Articles

2022
Hemanth Gudaparthi, Prudhviraj Naidu, and Nan Niu. “Metamorphic Testing of Image Classification and Consistency Analysis Using Clustering.” International Journal of Multimedia Data Engineering and Management (IJMDEM), vol.13, no.1, 2022, pp.1-20.

Conference Papers

2023
Jianyou Wang, Kaicheng Wang, Xiaoyue Wang, Prudhviraj Naidu, Leon Bergen, Ramamohan Paturi. “Scientific Document Retrieval using Multi-level Aspect-based Queries.” Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track, 2023.

2021
Prudhviraj Naidu, Hemanth Gudaparthi, and Nan Niu. “Metamorphic Testing for Convolutional Neural Networks: Relations over Image Classification.” 2021 IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IRI), 2021, pp.99-106.

Experience

Graduate Research Assistant (Year - Present)
University Name

  • Research on metamorphic testing for machine learning systems
  • Developed novel approaches for neural network validation
  • Collaborated on scientific document retrieval systems

[Previous Experience] (Years)
Organization Name

  • Description of responsibilities and achievements

Skills

Programming Languages: Python, Java, C++, R, JavaScript
Machine Learning: TensorFlow, PyTorch, scikit-learn, Keras
Tools & Technologies: Git, Docker, Linux/Unix, LaTeX
Databases: SQL, MongoDB, PostgreSQL

Awards & Honors

  • [Award Name] (Year)
  • [Honor/Recognition] (Year)

Service

Reviewer

  • [Conference/Journal Name] (Year)

Teaching Assistant

  • [Course Name] (Semester Year)

Selected Coursework

  • Advanced Machine Learning
  • Software Engineering Principles
  • Data Mining and Knowledge Discovery
  • Statistical Methods in Computer Science

Download PDF version: CV.pdf

Last updated: [Current Date]