Associate Lecturer
Dr Sonit Singh
Engineering
Computer Science and Engineering
Sonit Singh is a Lecturer in the School of Computer Science and Engineering at the University of New South Wales (UNSW), Sydney, Australia. Before being promoted to the Lecturer position, he was 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. Since August 2021, he joined UNSW and has been involved in teaching COMP9517: Computer Vision and COMP9444: Neural Networks and Deep Learning.
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.
E-mail
Location
405, K17 Building
School of Computer Science and Engineering
- Publications
- Media
- Grants
- Awards
- Research Activities
- Engagement
- Teaching and Supervision
I feel honored to receive the following awards:
- 2023: UNSW Engineering Deans Early Career Academic Fellowship
- 2021: Highly Commended Finalist for 2021 Vice Chancellor's Learning and Teaching Awards at Macquarie University
- 2019: Awarded Postgraduate Research Fund (PGRF) in the Department of Computing, Macquarie University
- 2019: Awarded Data61, CSIRO top-up scholarship (Duration: 3 years; AUD 10,000 per annum)
- 2018: International Macquarie University Research Excellence Scholarship (iMQRES) including tuition fee waiver and providing living stipend for 3 years
- 2016: International Macquarie University Research Excellence Scholarship (iMQRES) including tuition fee waiver and providing living stipend for 1 year
- 2014: Received Teaching Excellence Award in the School of Electronics and Communication Engineering at Lovely Professional University, India
- 2011: Academic Roll of Honour - Vice-Chancellor's roll of honour for academic merit at undergraduate level
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:
- Biomedical engineering project on the development of camera tracking based system for the registration of multiple 3D Ultrasound volumes of human placenta to form an extended ultrasound volume for having 3D view and analysis of the entire human placenta. The project is in collaboration with UNSW's Perinatal Imaging Research Group (Royal Hospital for Women / UNSW's School for Women's and Children's Health).
- Applying artificial intelligence technologies for the diagnosis and staging of liver diseases using ultrasound imaging. Specifically, project aims at discovering relevant imaging biomarkers in sequential ultrasound images/volumes that are predictive of Hepatocellular Carcinoma (HCC). This discovery will lead to early detection and staging of liver diseases, in turn saving human lives. The project is in collaboration with multiple hospitals across New South Wales, including St George, Liverpool, and Royal Prince Alfred.
Professional societies:
- Member, Association for Computing Machinery (ACM)
- Member, Institute of Electrical and Electronics Engineers (IEEE)
- Member, Association for Computational Linguistics (ACL)
- Associate Fellow of Higher Education Academy, UK (AFHEA)
Reviewing service:
- Computer Methods and Programs in Biomedicine
- Health Information Science and Systems
- IEEE International Symposium on Biomedical Imaging (ISBI)
- Artificial Intelligence in Medicine
- Association for Computational Linguistics (ACL)
- Artificial Intelligence in Medicine (AIIM)
- Conference on Computer Vision and Pattern Recognition (CVPR)
- IEEE Journal of Biomedical and Health Informatics (JBHI)
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
- Radiotherapy and Oncology
- European Conference on Machine Learning (ECML)
Engineering Education:
- Attended Essentials of Supervision Workshop (Supervising Doctoral Studies)
- Attending Scientia Education Academy Lecture Series
- Computers and Education
- Computers and Education: Artificial Intelligence
Seminars, Workshops, Conferences
- Attended Hybrid Workshop for Machine Learning Advances in Cardiovascular Health
- Attended Big Data Stream planning day at Ingham Institute for Applied Medical Research
- Attended UNSW Computing Research Expo 2022
- Attending Image Analytics Pillar launch at Tyree IHealthE
My Research Supervision
- Louisa Canepa (Honors thesis candidate)
Topic: Medical Visual Question Answering (Med-VQA)
Joint supervision with Prof. Arcot Sowmya
- Md Akizur Rahman (PhD candidate
Topic: AI Driven Automated Diverticulitis Prognosis and Treatment Planning
Joint supervision with Prof. Arcot Sowmya
- Ziping Chu (MPhil candidate)
Topic: A self-adapting framework for medical image segmentation
Joint supervision with Prof. Arcot Sowmya
- Matthew Gibson (PhD candidate)
Topic: Machine Learning for Change Detection in Remote Sensing
Joint supervision with Prof. Arcot Sowmya
- Shisheng Zhang (PhD candidate)
Topic: Learning to predict risk of Coronary Artery Disease from CTCA Images
Joint supervision with Ramtin Gharleghi, Arcot Sowmya, and Susann Beier
My Teaching
- Term 3, 2021 - COMP9517: Computer Vision
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.
- Term 2, 2022 - COMP9444: Neural Networks and Deep Learning
In Term 2, 2022, I did Lecturing and Tutoring for COMP9444 course. I was mainly responsible for delivering lectures from Week 4 to Week 7, covering topics on Computer Vision and Natural Language Processing.
- Term 3, 2022 - COMP9444: Neural Networks and Deep Learning
In Term 3, 2022, I did Lecturing and Tutoring for COMP9444 course. I was mainly responsible for delivering lectures from Week 4 to Week 7, covering topics on Computer Vision and Natural Language Processing.
- Term 2, 2023 - COMP9444: Neural Networks and Deep Learning/ COMP9511: Human Computer Interaction
In Term 3, 2022, I am Lecturing and Tutoring for COMP9444 course. I am mainly responsible for delivering lectures from Week 4 to Week 7, covering topics on Computer Vision and Natural Language Processing. For COMP9511, I am mainly delivering tutorials and marking assessments.