I am a 3rd year PhD student at School of Computing, National University of Singapore, under the supervision Prof.Dr.Leong Tze Yun and Prof.Dr.Tan Chew Lim, in the domain of artificial inteligence (focused in deep neural networks). I have completed my MSc Health Informatics from Karolinska Institutet (Stockholm, Sweden) in 2013. Prior to this I completed my Bachelors in Biomedical Engineering from Manipal Institute of Technology (Manipal, India).
My research is primarily focused on the usage of 3D deep neural networks for neuroanatomical characterization of Alzheimer's disease [Download report]. I am working towards designing deep neural architectures which can capture the transitioning dynamics (connectivity and anatomical) of different subregions in the brain in cases of Alzheimer's disease. I am also interested in association discovery and structure learning using artificial neural networks.
Previously, I have worked as a research assistant for Prof.Dr.Tan Chew Lim, working on medical imaging in the domain of traumatic brain injuries. This project aimed at predicting the condition of the patient based on CT scan images after a traumatic brain injury. I have also worked on automatic image registration.
Apart from computing, I work as a full stack web developer.
- Su Bolan, Thien Anh Dinh, Abhinit Kumar Ambastha, Tianxia Gong, Tomi Silander, Shijian Lu, C. C. Tchoyoson Lim et al. "Automated Prediction of Glasgow Outcome Scale for Traumatic Brain Injury." In Pattern Recognition (ICPR), 2014 22nd International Conference on, pp. 3245-3250. IEEE, 2014.
- Abhinit Kumar Ambastha, Tianxia Gong, Su Bolan, Thien Anh Dinh, Tan Chew Lim. "Automated Prognosis Analysis for Traumatic Brain Injury CT Images." 2015 3rd Asian Conference on Pattern Recognition (ACPR).
- Ambastha, Abhinit Kumar, and S. Niranjana. "Biomedical Engineering: Design and development of MPSO (ARM9) based ECG machine with TSP and USB." (2012).