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MissShanelle Tennekoon

Sessional Academic

School of Elec Eng, Comp and Math Sci (EECMS)

Orcid identifier0009-0008-0517-7346
  • Sessional Academic
    School of Elec Eng, Comp and Math Sci (EECMS)

BIOGRAPHY AND RESEARCH IMPACT

Shanelle Tennekoon is a PhD researcher at Curtin University working at the intersection of computer vision, edge AI, and assistive technology. Her research focuses on making advanced AI run on low-cost, offline hardware to restore independence and safety for people with disabilities. She received her BSc(Hons) in Electrical and Elctronic Engineering from Sri Lanka Institite of Information technology becoming the Valedectorian receiving the highest WGPA. Shanelle's work has also been recognised through Curtin's Three Minute Thesis competition, the Curtin HDR Showcase, the SMHS IMPROVE Conference. She received 2 state awards at the 35th WAITTA INCITE Awards and a National Merit Award at the AIIA iAwards for her PhD innovation, SmartWheel. Shanelle is committed to human-centred, co-designed technology and to encouraging more girls and women into STEM.

CURTIN UNIVERSITY APPOINTMENTS

  • Sessional Academic
    Curtin University, EECMS, Perth, Australia1 Feb 2024 - present

ACADEMIC POSITIONS

  • Assistant Lecturer
    Sri Lanka Institute of Information Technology, Electrical and Electronic Engineering, Colombo, Sri Lanka1 Apr 2023 - 30 Aug 2023

NON-ACADEMIC POSITIONS

  • Clinical Data Analyst
    Fiona Stanley Hospital, Perth, Australia12 Jan 2026 - 12 Jul 2026

DEGREES

  • BSc(Hons) in Electrical and Electronic Engineering
    Sri Lanka Institute of Information Technology, Colombo, Sri Lanka1 Jan 2019 - 31 Dec 2022
  • PhD in Electrical and Computer Engineering (Reading)
    Curtin University, Perth, Australia13 Nov 2023 - present

ROLE

  • Staff

FIELDS OF RESEARCH

  • 4007 - Control engineering, mechatronics and robotics
  • 4201 - Allied health and rehabilitation science
  • 4203 - Health services and systems
  • 4602 - Artificial intelligence
  • 4605 - Data management and data science
  • 4611 - Machine learning

DEPARTMENT

  • School of Elec Eng, Comp and Math Sci (EECMS)