Sonit Singh is a Postdoctoral Research Fellow in the School of Computer Science and Engineering at the University of New South Wales (UNSW), Sydney, Australia. Before joining UNSW, he did his PhD degree at Macquarie University, in collaboration with Macquarie University Hospital and Data61, CSIRO. His PhD thesis entitled “Multimodal Machine Learning for Medical Imaging” focused on developing multimodal machine learning models at the intersection of Computer Vision and Natural Language Processing that can jointly reason on medical images and radiology reports. Before this, he completed the Master of Research degree in Natural Language Processing and Machine Learning at Macquarie University in 2017. His Masters thesis entitled "Generalizing Link Prediction for Information Extraction" focused on extending knowledge graphs reasoning from triplets to n-ary relations. He received the Bachelor of Technology in Electronics and Communication Engineering from Lovely Professional University (India) in 2011. During his PhD and Masters, he was supported by an international Macquarie University Research Excellence scholarship and the Data61 CSIRO top-up scholarship.
Sonit Singh is also very passionate about learning and teaching. He has been actively teaching various computer science and engineering courses since 2011. Back in India, he taught various courses in Electronics Engineering, including Artificial Intelligence, Computer Vision, Robotics and Automation, Neural Networks and Fuzzy Logic, Electronic Devices and Circuits. After joining Department of Computing, Macquarie University in 2017, he had the opportunity to do lecturing and tutoring Data Structures and Algorithms, Data Science, Artificial Intelligence, Document Processing and Semantic Web, and Machine Learning units. In August 2021, he joined UNSW and is teaching Computer Vision course in Term 3, 2021.
Sonit Singh has broad interests in Artificial Intelligence, Computer Vision, Natural Language Processing, Machine Learning, Deep Learning, Medical Imaging, and their intersections. Other research projects towards which he is highly inclined include Image Captioning, Visual Question Answering, Visual Dialog, and Visual-Language Navigation. Overall, Sonit Singh is passionate about teaching humans and machines. His research answers questions that impact clinical practice and patient outcomes.
I feel honored to receive the following awards:
Sonit Singh is currently working towards the development of novel methods for analysing medical imaging data. Specifically, he is working on the following two projects:
In Term 3 2021 I did Lecturing and Tutoring for COMP9517: Computer Vision course. I was mainly responsible for delivering lectures in Week 8 "Convolutional Neural Networks and their applications" and Week 9 "Applications of Deep Learning" where I covered various applications at the intersection of computer vision and natural language processing. As it was for the first time I was teaching a course at UNSW, I also get involved in tutoring COMP9517 to have better understanding of the course and its assessments. I revised tutorial/lab specifications and did marking of labs, assignment, project, and the final exam. Overall, it was a great teaching and learning experience.