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The TIET-UQ Centre of Excellence in Data Science and AI is a cross-disciplinary research centre that advances foundational and applied research related to data science and AI, jointly located at Thapar Institute of Engineering & Technology in Patiala, India, and The University of Queensland in Brisbane, Australia. The work of the centre crosses both national boundaries (India and Australia) and disciplinary boundaries (computer science, engineering, behavioural science, health,a griculture and environment). Through this unique collaboration, we aim to develop innovative solutions for complex global challenges while fostering knowledge exchange between two leading institutions.
The TIET-UQ Centre of Excellence in Data Science and AI is a cross-disciplinary research centre that advances foundational and applied research related to data science and AI, jointly located at Thapar Institute of Engineering & Technology in Patiala, India, and The University of Queensland in Brisbane, Australia. The work of the centre crosses both national boundaries (India and Australia) and disciplinary boundaries (computer science, engineering, behavioural science, health, agriculture and environment). Through this unique collaboration, we aim to develop innovative solutions for complex global challenges while fostering knowledge exchange between two leading institutions.
“Transforming industries and lives in India and Australia via innovation-led Data Science and AI”.
Foster next-generation AI talent through innovative research and industry partnerships.
Drive impactful AI innovations by collaborating with startups, companies, and government organizations to address real-world challenges.
Establish Thapar Institute and the University of Queensland as global leaders in AI and Data Science.
Advance responsible AI solutions to enhance human capabilities and improve quality of life.
Inderveer is the Centre Director for the Centre of Excellence in Data Science and AI. She is the Professor of Computer Science in the department of Computer Science and Engineering at TIET, Patiala. Her research interests include Cloud computing, Energy aware computing and Machine Learning. She has more than 100 research publications in reputed Journals and Conferences. She has also worked on major research projects sponsored by Govt. funding agencies like UGC, AICTE, CSIR, DST, ICMR etc.
Tim is the TIET-UQ Chair of Data Science for the Centre of Excellence. He is a Professor of Artificial Intelligence at the University of Queensland. Tim’s research draws on machine learning, reinforcement learning, AI planning, interaction design, and cognitive science, to help people to make better decisions. He has done work on areas including explainable AI, human-AI mixed-initiative planning, and human-centered decision support.
Health and medicine research is improving healthcare and saving lives
Energy and environment research is driving sustainable development
Cybersecurity is essential to protect data and infrastructure from cyber threats
Behaviourial science research is helping us understand human behaviour
Sustainable infrastructure research is improving the quality of life
Agriculture research is helping us feed the world's growing population
Thapar Institute and University of Queensland’s joint PhD program begins in 2025, supporting 5 computer science students. Students spend 3 years at Thapar, 1 year at Queensland, with joint supervision and plans to expand to other disciplines.
In February 2025, the Centre will call for seed funding proposals in five focus areas, supporting up to 3 years of research with TIET-UQ collaboration, funding staff, equipment, travel, data, and software. Projects will be selected by a Selection Board.
In February 2025, the centre will offer 5 annual PhD travel scholarships for students from any branch, funding travel between Thapar and Queensland, living costs, and joint supervision. PhDs will be awarded by Thapar Institute, starting in 2025.
In February 2025, the Centre will invite proposals to solve applied problems with industry partners, involving TIET, UQ, and industry. Funding supports staff, travel, equipment, data, and software. Industry partners must provide matched funding or in-kind support.