Guru Swaroop Bennabhaktula

Guru Swaroop Bennabhaktula is a Postdoctoral Researcher at the University of Groningen's Faculty of Science and Engineering, affiliated with the Bernoulli Institute. He holds an MSc and has conducted research leading to a doctoral thesis titled 'Leveraging image noise: source camera identification and increased robustness of convolutional neural networks' (2023).

His research focuses on computer vision, artificial intelligence, and deep learning with particular emphasis on image forensics, CNN robustness, and sensor pattern noise analysis. He has supervised multiple student theses including projects on camera identification, siamese networks for image retrieval, and noise-resistant neural architectures.

Key contributions include the PushPull-Net architecture for robust image classification and video camera identification techniques leveraging sensor noise. His work bridges fundamental computer science research with practical applications in digital forensics and neural network optimization.

Award recognition includes the Ben Feringa Impact Award (2023). Bennabhaktula has taught courses like Information Retrieval (2021-2024) and served as teaching assistant for Introduction to Computing Science. His research portfolio features 8 peer-reviewed publications spanning conference papers and journal articles in prestigious venues like Pattern Recognition and Expert Systems with Applications.