Personal details

Name
Dr Harshala Gammulle
Position(s)
Research Fellow
Science and Engineering Faculty,
School of Electrical Engineering & Robotics
Discipline *
Artificial Intelligence and Image Processing
Phone
+61 7 3901 0631
Email
Location
View location details (QUT staff and student access only)
Identifiers and profiles
ORCID iD LinkedIn
Qualifications

Doctor of Philosophy (Queensland University of Technology)

Keywords

Computer Vision, Image Processing, Pattern Recognition, Deep Learning, Machine Learning, Human Action Recognition and Prediction

* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

Biography

Dr. Harshala Gammulle is a Research Fellow in the Signal Processing, Artificial Intelligence, and Vision Technologies (SAIVT) research program in the school of Electrical Engineering and Robotics at Queensland University of Technology (QUT). She received her BSc (special degree in computer science) from the University of Peradeniya, Sri Lanka, and her PhD from QUT, Australia. Her current research goals include developing artificial intelligence techniques for better understanding and representing events from visual inputs.

During her PhD, Harshala proposed machine learning techniques for understanding human behavior in videos in multiple problem settings including, recognition, segmentation, and prediction. Her research to date has resulted in significant contributions to a diverse set of application domains including, security surveillance, sports action recognition, group activity recognition, and recognition of cooking activities. In recognition of the significant contributions to the knowledge base in her field of research, Harshala was awarded the QUT Executive Dean’s Commendation for Outstanding Doctoral Thesis Award.

Since the completion of her PhD, Harshala is continuing her research activities in the computer vision domain as one of the project members from QUT in the Rheinmetall Australia Research and Technology Program, which is their first research and technology program in Australia. Furthermore, Harshala is conducting interdisciplinary research activities by extending the applications of her proposed techniques to healthcare.

Publication highlights

This information has been contributed by Dr Harshala Gammulle.

Publications


For more publications by this staff member, visit QUT ePrints, the University's research repository.

Awards

Awards and recognition

Type
Academic Honours, Prestigious Awards or Prizes
Reference year
2020
Details
QUT Executive Dean's Commendation for Outstanding Doctoral Thesis Award
Type
Academic Honours, Prestigious Awards or Prizes
Reference year
2015
Details
University Award for Academic Excellence, University of Peradeniya, Sri Lanka