Scholar
Muhammad Anas Raza
Google Scholar ID: t6CivfwAAAAJ
Graduate Student, Oakland University
Citations & Impact
Citations
127
H-index
4
i10-index
3
Publications
9
Co-authors
11
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Graph neural network for fault localization in sequence-based models (Empirical Software Engineering, June 2025); RuleBoost: A Neuro-Symbolic Framework for Robust Deepfake Detection (Best Poster Award, IJCB, June 2024); HolisticDFD: Spatiotemporal Transformer Embeddings Infusion for Deepfake Detection (Information Sciences, May 2023); Multimodaltrace: Deepfake Detection using Audiovisual Representation Learning (CVPR 2023 Workshop on Media Forensics, April 2023).
Research Experience
- Facial Recognition Deployment with PostgreSQL and pgvector; K3-Addons: Additional multi-backend functionality for Keras 3; K3IM: Implementation of Image Models and their 1D/3D/Space-Time extensions in Keras 3; Open-source contributions to Keras Core; Designed and developed Deep Forgery Detector and Forensic Examiner frameworks; FocalNet Keras 3 and FocalNet TensorFlow implementation; StorySeed: A Hugging Face Space that generates story ideas from images; Evaluating Modern Vision Architectures on 3D Biomedical Data; Led a team to develop an Oil Debris Monitoring System using deep learning.
Education
- Doctoral Research (In Progress): Graph neural network for fault localization in sequence-based models; Masters Research (2022-2024): RuleBoost: A Neuro-Symbolic Framework for Robust Deepfake Detection.
Background
- Fell in love with programming in 6th grade; attempted to create a Visual Basic application in high school but was unsuccessful; graduated with a mechanical engineering degree but still passionate about programming, especially in Python; proficient in TensorFlow and flexible to work with PyTorch and Jax.
Miscellany
- Enjoys reading, playing badminton and ping pong, and learning new things.
