Jitender Singh Virk Email & Phone Number

An enthusiastic, devoted learner who always enjoys multidisciplinary research with a specific interest in Deep Learning and Computer Vision. I recently designed, developed, and implemented a lightweight convolutional neural network architecture using mixed asymmetric kernels for Domain-Specific, Semi-Supervised Transfer Learning In Medical Imaging. This work is published at CODS-COMAD 2021 – a premier ACM India conference on Data Science & Knowledge Discovery. Concurrently, I worked on the multi-modal classification of Alzheimer’s using MRI and PET scans (currently under review) and risk prediction for Postpartum Depression (PPD) in collaboration with Uppsala University Hospital, Uppsala, Sweden. Currently, I am working on MRSI and DKI Evaluation of HIV-1 Clade C Infection in the Whole Brain and Infantile Tremor Syndrome (ITS) in infants DTI data analysis at PGIMER Chandigarh. Concurrently, I am working on Visual Question Answering with medical imaging (VQA-Med) in collaboration with the Inception Institute of Artificial Intelligence and IIT Ropar.

Listed skills include Leadership, Artificial Neural Networks, Keras, Tensorflow, and 17 others.