Research Interests
Research Interests
Computer Vision | Biomedical Signal Processing | Deep Learning in Healthcare
Computer Vision | Biomedical Signal Processing | Deep Learning in Healthcare
Graduate Research Assistant August 2022-Present
Medical Image Segmentation
Developed novel Deep Learning Architectures and published them in reputed CV conferences.
Proposed a memory-enabled decoder coupled with MaxViT for medical image segmentation.
Working with light-weight architectures for segmenting medical images
Respiratory Audio Signal Processing Using Deep Learning
Working with audio data to classify abnormalities, predict lung capacities, and virtual augment of lung expansion using advanced Deep Learning techniques.
Designing Pure Audio Convolutional Transformer (PACT) for respiratory audio classification.
Developing problem-specific advanced CNN architectures based on VGG, ResNet, Unet, Alexnet; RNN architectures like LSTM, GRU, CRNN; and Vision Transformer
Published couple of articles from this research in some reputed CV conferences.
Abstractive Text Summarization using Peephole Convolutional LSTM (PCLSTM)
Developed a method using PCLSTM for abstractive text summarization that outperformed the state-of-the-art models.
Optimized parameters of the developed model using response surface methodology in combination with central composite design.
Clustered and Smarter Web Mining Using Semantic Web
Developed a model for web mining using RDF ontology of semantic web. The developed model returned more precise results than conventional web searching.
Assistant Professor August 2019-August 2022
Lecturer August 2019-August 2022
Lecturer August 2019-August 2022
Purdue University, Department of Electrical and Computer Engineering Technology
The Gateway Complex, 420 Central Dr., West Lafayette, IN 47907, USA
rahma112@purdue.edu | (313) 913-5588