IAMAI
the IAMAI research group at Curtin University
Our IAMAI research group focuses on developing novel artificial intelligence (AI) technologies that are sustainable, responsible and make a positive impact to people’s lives and the future of our planet.
Key Members
- Dr Sonny Pham, Head of IAMAI research group
- Tanmay Singha, Topic: Semantic Segmentation, PhD candidate, School of EECMS, Curtin University [2020-Present]
- Ying Li, Topic: Using AI to diagnose children with speech sound disorders, PhD candidate, School of EECMS, Curtin University [2022-Present]
- Chayan Mondal, Topic: Automatic X-ray generation using explainable Generative AI, PhD candidate, School of EECMS, Curtin University [2022-Present]
- Endar Wihidayat, Topic: Green technologies for computer networking, PhD candidate, School of EECMS, Curtin University [2022-Present]
- Chaki Ramesh, Topic: Multi-modal cancer detection, Advanced Science Capstone, School of EECMS, Curtin University [2023]
- Joren Regan, Topic: Multi-modal cancer detection, Advanced Science Capstone, School of EECMS, Curtin University [2023]
- Sean Oldenburger, Topic: Anomaly detection for industrial applications, Advanced Science Capstone, School of EECMS, Curtin University [2023]
- Austin Bevacqua, Topic: Improving semantic segmentation using Generative AI, Computing Honours, School of EECMS, Curtin University [2023]
- Moritz Bergemann, Topic: Advanced topics in semantic segmentation, Advanced Science Capstone, School of EECMS, Curtin University [2020-2022]
- Kristian Rados, Topic: End-to-end Traffic Sign Damage Assessment, Advanced Science Capstone, School of EECMS, Curtin University [2020-2022]
- Max Barker, Topic: Microplastic Detection, Computing Honours, School of EECMS, Curtin University [2022]
- Jack Hutchison, Topic: Intrusion Detection using Augmented Memory Models, Computing Honours, School of EECMS, Curtin University [2022]
- Bryce Wohlan, Topic: Phoneme segmentation using deep learning, EECMS Honours, School of EECMS, Curtin University [2021]
- Jack Downes, Topic: Automatic traffic sign damage detection, EECMS Honours, School of EECMS, Curtin University [2020]
Academic Co-supervisors
- Professor Tele Tan (Ying Li, Chayan Mondal)
- Dr Roslyn Ward (Ying Li)
- Dr Neville Hennessey(Ying Li)
- Professor Tom Gedeon (Chayan Mondal)
- Associate Professor Aneesh Krishna (Tanmay Singha, Moritz Bergemann, Kristian Rados)
- Associate Professor Sie-Teng Soh (Endar Wihidayat)
- Dr Ankur Sharma (Joren Regan and Chaki Ramesh)
- Dr Qilin Li (Sean Oldenburger)
- Dr Mark Hackett (Max Barker)
- Dr Kit Yan Chan (Bryce Wohlan)