My current thesis investigates the critical challenge of domain shift by framing a deep learning model as a scientific instrument to quantify why and how pathology models fail on unseen clinical data. In addition, to visualise the segmented histology image and phenotype data a tool is built.
Tags: Python, PyTorch, Docker, HoverNet, Streamlit, Ros2, Webots, Histopathology
An evaluation of three distinct unsupervised methods for nuclei segmentation in H&E images. This work, providing a scalable alternative to supervised techniques, was recognized with the 2nd Prize at the UH Data Science Project Club poster presentation.
Tags: Python, Unsupervised Learning, Histopathology, Clustering
A systematic evaluation of multiple GAN architectures (DCGAN, WGAN-GP, etc.) to synthesize realistic EEG signals, successfully demonstrating a powerful data augmentation strategy to address data scarcity in neurophysiological research.
Tags: Python, Deep Learning, GANs, Pytorch, EEG Signal Processing
Developed a full-duplex communication system that translates spoken English to Indian Sign Language and vice-versa in real-time, using a CNN for gesture recognition. This work was successfully published in a peer-reviewed journal.
Tags: Python, CNN, Indian Sign Language
M. N. Reddy E and L. B. Rananavare, "Deep Learning Approaches for Plant Disease Management: A State-of-the-Art Analysis," 2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS), Bangalore, India, 2023, pp. 1-5, doi: 10.1109/CSITSS60515.2023.10334120 🔗 [Link]
M. N. Reddy, V.V. Badami, Dinesh B, S. P. Chetan Kumar, and K.V. Kanzaria, "Spoken English to Indian Sign Language Translator," Journal of Computer Science and Engineering, Vol. 22, Issue 3, pp. 29-39, 2021. 🔗 [Link] 📄 [PDF]
M. N. Reddy E, P. Moggridge "A Systematic Survey and Taxonomy of Deep Learning for Nuclei Segmentation in H&E Histopathology." (In Preparation)
M. N. Reddy E, P. Moggridge, et al., "An Empirical Investigation into the Domain Generalization of Nuclei Segmentation and Phenotyping Models in Computational Histopathology." (Current Thesis)