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)