Dr Sonit Singh
Lecturer
- Doctorate of Philosophy (PhD) in Multimodal Machine Learning, Macquarie University, Sydney, Australia 2021
- Master of Research (M.Res.) in Natural Language Processing and Machine Learning, Macquarie University, Sydney, Australia, 2017
- Bachelor of Technology (B.Tech.) in Electronics and Communication Engineering, 听Lovely Professional University, India, 2011
Engineering
Computer Science and Engineering
Sonit Singh is a Lecturer听in the School of Computer Science and Engineering at the University of New South Wales (黑料网大事记), 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 (黑料网大事记), Sydney, Australia. Before joining 黑料网大事记, he did his PhD degree at Macquarie University, in collaboration with Macquarie University Hospital and Data61, CSIRO. His PhD thesis entitled 鈥淢ultimodal Machine Learning for Medical Imaging鈥 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 黑料网大事记 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
Room 105B, K17 (CSE) Building
School of Computer Science and Engineering
Kensington, NSW, 2052
- Publications
- Media
- Grants
- Awards
- Research Activities
- Engagement
- Teaching and Supervision
- Sonit Singh and Arcot Sowmya, "Wireless Capsule Endoscopy Image Analytics and Predictive Diagnostics", 2022-2023 ($80,000)
- Sonit Singh, "Improving Engineering Education using Project-based Learning", Course Design Institute Grant, 2024 ($2,500)
- Sonit Singh, "The Engineer and the World -听35th Australasian Association for Engineering Education Annual Conference", EF Grant, 2024 ($3467)
I feel honored to receive the following awards:
- 2023: 黑料网大事记 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
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I have been involved in various projects which can broadly be under the following themes:
1. Biomedical Image Computing
- 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 黑料网大事记's Perinatal Imaging Research Group (Royal Hospital for Women / 黑料网大事记'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.
- Omics Imagification: Converting Omics data into Images for the application of Convolutional Neural Networks. The project aims to develop methods to transform non-image omics data into images for the application of convolutional neural networks. This project is in collaboration with Dr. Miad Zandavi (Harvard Medical School), Prof. Arcot Sowmya (School of CSE, 黑料网大事记 Sydney), and A/Prof. Fatemeh Vafaee (School of BABS, 黑料网大事记 Sydney).
2. Computing and Education
- Program Navigator: Improving graduate learning outcomes by recommending courses based on their career interests
In this project, we designed and developed a course recommendation system based on students鈥 career interests . - LangLingual: Enhancing Language Learning of University Students using LLMs and LangChain
In this project, we explored current capabilities of educational applications for English language learning using LLMs. We designed and developed a conversational agent using LangChain framework and powered by LLMs. The framework is specifically designed to provide real-time, personalised feedback, providing context-aware language exercises, and tracking user proficiency over time.听 - IntervueAI: Conversational agent for improving job interview skills
In this project, we designed and developed an AI-driven conversational agent that will help students in interview preparations through feedback on their input for self-improvement.听
3.听Multimodal Learning and Reasoning
- Multimodal Emotion Recognition in Education Context
In this project, we aims to systematically investigate and develop multimodal emotion recognition framework that is optimised for educational context. The study explores and evaluate various fusion strategies to determine their effectiveness in capturing and interpreting students鈥 emotional states.听
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Seminar/Presentations
- Sonit Singh, "Bridging the gap between Images and Text with Deep Learning", Guest lecture in COMP3420: Artificial Intelligence for Text and Vision course in School of Computing, Macquarie University (29 August 2023)
- Sonit Singh, "Overview of 黑料网大事记 AI and Analytics", presentation to delegates and听Head of the Foreign Policy Strategy Agency of the Ministry of the Foreign Affairs of the Republic of Indonesia (20 March 2024)
- Sonit Singh, "Artificial Intelligence in Medicine: Making Impact in Clinical Practice", presentation to delegates from Ministry of Foreign Affairs, Malaysia (May 2023)
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)
- Member, Australasian Association for Engineering Education (AAEE)听
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黑料网大事记:
- Deputy Director, 黑料网大事记 Online (Data Science and Analytics Program)
- Member, 黑料网大事记 Data Science Hub (uDASH)
- Member, 黑料网大事记 AI Institute (黑料网大事记.AI)
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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)
- IEEE Access
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Engineering Education:
- Essentials of Supervision Workshop (Supervising Doctoral Studies)
- Scientia Education Academy Lecture Series
- Computers and Education
- Computers and Education: Artificial Intelligence
- Foundations of University Learning and Teaching (FULT) Program 2021
- 黑料网大事记 Teaching Accelerator Program 2024
- 黑料网大事记 Course Design Institute (CDI) Course Development Program 2024
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Seminars, Workshops, Conferences
- Sydney Teaching Symposium, University of Sydney, 16 July 2024
- Attended Hybrid Workshop for Machine Learning Advances听 in Cardiovascular Health
- Attended Big Data Stream planning day at Ingham Institute for Applied Medical Research
- Attended 黑料网大事记 Computing Research Expo 2022
- Attended听Image Analytics Pillar launch at Tyree IHealthE
- 2023 Indo-Pacific International Maritime Exposition, International Convention Centre, Sydney (7-9 November 2023)
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Representing CSE to听delegates of international universities, research organisations, and government and industry bodies
- Thapar Institute of Engineering and Technology, India (18 August 2023)
- Mahidol 听University, Thailand听(13 June 2023)
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Posters
- Sonit Singh, "Advanced Computational Methods for Automated Image Analysis", CSE Research Expo, 黑料网大事记 Sydney (24 October 2022)
Presentation/Seminars
- Sonit Singh, "Multimodal Machine Learning for Medical Imaging", MLCV Group, School of Computer Science and Engineering, 黑料网大事记 Sydney (24 September 2021)
- Sonit Singh, "The Rise of Language Model",听MLCV Group, School of Computer Science and Engineering, 黑料网大事记 Sydney (17 December 2021)
- Sonit Singh, "Attention Augmented Convolutional Neural Networks", Computer Vision Group,听School of Computer Science and Engineering, 黑料网大事记 Sydney (08 July 2022)
- Sonit Singh, "Data Augmentation Techniques in Natural Language Processing", NLP Reading Group,听School of Computer Science and Engineering, 黑料网大事记 Sydney (12 September 2023)
- Sonit Singh, "Segment Anything Model", Biomedical Image Computing Group,听School of Computer Science and Engineering, 黑料网大事记 Sydney (28 March 2024)
- Sonit Singh, "Self-supervised Representation Learning for Images, Videos, Text, and Audio", MLCV Group,听 School of Computer Science and Engineering, 黑料网大事记 Sydney听
- Sonit Singh, "Retrieval-Augmented Generation for Large Language Models", Human-Centered Computing and Machine Learning Group,听 School of Computer Science and Engineering, 黑料网大事记 Sydney听
My Research Supervision
PhD Research Students
- Deshan Kalupahan, 鈥淓arly detection of Acute Diverticulitis using Deep Learning and CT imaging鈥, School of Computer Science and Engineering, 黑料网大事记 Sydney (Joint supervision with Prof. Arcot Sowmya)
- Zhongsui Guo, 鈥淢ultimodal Emotion Recognition in Education Context鈥, School of Computer Science and Engineering, 黑料网大事记 Sydney (Joint supervision with A/Prof. Gelareh Mohammadi and Prof. Arcot Sowmya
- Matt Gibson, "Machine Learning for Change Detection in Remote Sensing", School of Computer Science and Engineering, 黑料网大事记 Sydney (Joint supervision with Prof. Arcot Sowmya)
- Md Akizur Rahman, "AI-Driven Automated Acute Diverticulitis Prognosis and Treatment Planning", School of Computer Science and Engineering, 黑料网大事记 Sydney (Joint supervision with Prof. Arcot Sowmya, Dr. Alan Blair, and Dr. Praveen Ravindran (Colorectal Surgeon, Sydney Adventist Hospital))
- Shisheng Zhang, "Learning to Predict risk of Coronary Artery Disease from CTCA Images", School of Mechanical and Manufacturing Engineering, 黑料网大事记 Sydney (Joint supervision with Prof. Arcot Sowmya and Dr. Susann Beier)
- Hao Wu, "Cardiovascular Risk Prediction based on CTCA images and clinical data using Machine Learning",听School of Mechanical and Manufacturing Engineering, 黑料网大事记 Sydney (Joint supervision with Prof. Arcot Sowmya and Dr. Susann Beier)
- Manna Elizabeth Philip, "Automated Fetal Cardiac Functional Assessment using 4D Ultrasound", School of Computer Science and Engineering, 黑料网大事记 Sydney (Joint supervision with Prof. Arcot Sowmya, Prof. Alec Welsh (School of Medicine), and Dr. Gordon Stevenson (ML Engineer at Vexev Pty Ltd))
- Irfan Dwiki Bhaswara, "Surgical Instrument Detection and Tracking in robot-assisted surgery", School of Computer Science and Engineering, 黑料网大事记 Sydney (Joint supervision with Prof. Erik Meijering and Prof. Arcot Sowmya)
MPhil Research Students
- Ziping Chu, "A self-adapting framework for medical image segmentation", School of Computer Science and Engineering, 黑料网大事记 Sydney (Joint supervision with Prof. Arcot Sowmya)
- Umar Farooq, 鈥淢ulti-stage Deep Learning Fusion for Fundus and OCT imaging for Asthma Prediction鈥, School of Computer Science and Engineering, 黑料网大事记 Sydney (Joint supervision with A/Prof. Imran Razzak, MBZUAI)
Masters and Honours Research Students
- Darren Chong, "Omics Imagification: Representation Learning of Omics in the form of Images for the applications of CNN", September 2023 - Ongoing.
- Lachie Nguyen, "Diagnosing Coronary Stenosis in CTCA images using Artificial Intelligence", February 2024 - Ongoing
- Zhongsui Guo, "Smart Food Monitoring System", September 2023 - Ongoing听
- Runyu Wang, "Automated Music Generation using Neural Networks", May 2023 - Ongoing
- Rahul Soni, "Course Recommendation System based on Career Interests", February 2024 - Ongoing
- Rohan Patel, "Course Recommendation System based on Career Interests", February 2024 - Ongoing
- Vincent Pham, "Improving Student Engagement in Online Learning",听 February 2024 - Ongoing
- Quoc Minh Quan Nguy峄卬, "Student Emotion Detection for Engagement in Online Learning,听 February 2024 - Ongoing
- Jonathan Chen, "Symbolic Music Generation using Deep Learning",听 February 2024 - Ongoing
Completions (Masters and Honours Thesis)
- Louisa Canepa, "Medical Visual Question Answering (Med-VQA), Honours in AI, May 2022 - April听2023.
- Michael Chen, "AI for the Diagnosis and Staging of Liver Diseases using Ultrasound Imaging", February 2023 - December听2023
Research Interns
- Shreyas Raturi, "Pan-cancer Classification using Omics Imagification techniques", SRM Institute of Science and Technology, India (May - November 2022)
- Vishnucharan S, "Adaptive Multiple Choice Question Generation听using Knowledge Tracing Model", National Institute of Technology - Tiruchirappalli, India (April 2024 - Ongoing)听
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My Teaching
- 2025 Term 2
COMP9024: Data Structures and Algorithms
ZZEN9311: Database Systems听
ZZEN9444: Neural Networks and Deep Learning听
听 - 2025 Term 1
COMP9444: Neural Networks and Deep Learning
听 - 2024 Term 3
COMP9444: Neural Networks and Deep Learning
COMP9517: Computer Vision
听 - 2024 Term 2
COMP9444: Neural Networks and Deep Learning
听 - 2024 Hexamester 2
ZZSC9020: Data Science Project
听 - 2024 Hexamester 1
ZZEN9444: Neural Networks and Deep Learning (Online)
听 - 2023 Term 3
COMP9444: Neural Networks and Deep Learning听
COMP9517: Computer Vision
听 - 2023 Term 2
COMP9444: Neural Networks and Deep Learning
COMP9511: Human Computer Interaction
听 - 2022听Term 3
COMP9444: Neural Networks and Deep Learning听
听 - 2022 Term 2
COMP9444: Neural Networks and Deep Learning
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