Information Technology

Umair Qureshi

Umair Qureshi

Chao Chen

Chao Chen

Dmitry Konovalov

Dmitry Konovalov

Trina Myers

Trina Myers

Iti Chaturvedi

Iti Chaturvedi

Euijoon Ahn

Euijoon Ahn

Ickjai Lee

Ickjai Lee

Kyungmi Joanne Lee

Kyungmi Joanne Lee

Kranthi Addanki

Kranthi Addanki

Lindsay Ward

Lindsay Ward

City of Casey Citizen Engagement Chatbot and Social Isolation Project
Adrian Shatte
01 Jan 2020 - 01 Dec 2021
Collaboration with City of Casey Council and interdisciplinary colleagues from Nursing to develop GIS tools for evaluating social isolation epidemic in CALD populations of Casey Cardinia regions of Victoria.
Refining the bidirectional encoder representations from transformer (BERT) model for semantic intent classification using Twitter data
Adrian Shatte
01 Jul 2020 - 01 Jul 2021
Improve classification accuracy on downstream tasks of BERT model in noisy and low-data regimes like Twitter.
Passive monitoring and intervention for fathers' experiencing perinatal distress
Adrian Shatte
01 Jul 2019 - 01 Jul 2020
Training and evaluating prediction models on social media for fathers' perinatal depression and anxiety.
Harnessing social media and m-health to predict, monitor and intelligently intervene in paternal postpartum depression
Adrian Shatte
01 Jan 2020 - 31 Dec 2021
Developing and evaluating predictive models for parents' depression and anxiety on social media, informing the development of chatbots and personalised mobile interventions.
Enhancing learning management systems to support online learning using academagogy
Kranthi Addanki
22 Jul 2019 - 17 Mar 2024
JCU HDR student
Immersive virtual reality in a northern Queensland haemodialysis unit: A cross-over randomised controlled feasibility trial. (Old ID 27236)
Ickjai Lee
17 May 2021 - 17 May 2023
This study will explore the feasibility and acceptability of an immersive VR experience for patients attending a north Queensland haemodialysis service and provide information to inform a multi-centre randomised controlled trial. Over the 4 week intervention period, participants will be offered a headset with vision of the local natural environment and with audio. Outcomes will be measured by participants: acceptability and usability of VR; attendance at scheduled dialysis sessions and adherence to lifestyle modifications; wellbeing, anxiety and depression; adverse events such as nausea. The feasibility and acceptability of the equipment from the clinicians’ perspectives will also be explored.
Machine learning approach to restoration, prediction and quality control of oceanographic data from IMOS Moorings (Old ID 24926)
Ickjai Lee
12 Mar 2018 - 22 Mar 2022
This project investigates a machine learning approach to increasing the value of oceanographic data. The full collection of IMOS Moorings data will be available for use in developing and training algorithms. Much of this data has already been flagged by heuristic quality control routines, and manually annotated by domain experts.
JCU Spawning Potential app development (Old ID 27727)
Ickjai Lee
28 Jun 2022 - 30 Jul 2022
The central biological measure of success for the “Community- Based Sustainable Development in Solomon Island and PNG Coastal Communities” projects are trends in the Spawning Potential Ratio (SPR) of key target species. This Project seeks to refine the Spawning Potential Survey (SPS) App (JCU FISH) to include spatial reporting tools that can be utilised by survey participants to monitor spatial and temporal trends in SPR. This project extends from an earlier “proof of concept” project funded by the WWF Ocean Practice where the potential for automatic identification and measurement of target species from a single image was realised.
From Coastal Communities to Cloud Communities – New Application and Artificial Intelligence to Monitor Fish Stocks Using Photos – Application Development (Old ID 26805)
Ickjai Lee
28 Feb 2020 - 12 Dec 2020
The Project aims at develop an artificial intelligence capable to autonomously identify fish species and number from images collected at fish markets in remote location, so that effective catch rate can be evaluated and management policies can be developed.
From Coastal Communities to Cloud Communities – New Application and Artificial Intelligence to Monitor Fish Stocks Using Photos – Application Development (Old ID 26805)
Kyungmi Joanne Lee
28 Feb 2020 - 12 Dec 2020
The Project aims at develop an artificial intelligence capable to autonomously identify fish species and number from images collected at fish markets in remote location, so that effective catch rate can be evaluated and management policies can be developed.

Effects of Participant's Choice of Different Digital Interventions on Outcomes for Binge-Spectrum Eating Disorders: A Pilot Doubly Randomized Preference Trial

Classification of Twitter users with eating disorder engagement: Learning from the biographies

Targeting dietary restraint to reduce binge eating: a randomised controlled trial of a blended internet- and smartphone app-based intervention

Understanding the role of positive body image during digital interventions for eating disorders: Secondary analyses of a randomized controlled trial

Filter feature selection based Boolean Modelling for Genetic Network Inference

Combining kinetic orders for efficient S-System modelling of gene regulatory network

Effects of an Acceptance-Facilitating Intervention on Acceptance and Usage of Digital Interventions for Binge Eating

EDBase: Generating a Lexicon Base for Eating Disorders Via Social Media

The role of pre-existing knowledge and knowledge acquisition in internet-based cognitive-behavioural therapy for eating disorders

Usability Evaluation of a Cognitive-Behavioral App-Based Intervention for Binge Eating and Related Psychopathology: A Qualitative Study

Title: Commonwealth Scientific and Industrial Research Organisation, Led "Super Gurus" team on the CSIRO ON Prime #15 program from 03/03/2024 to 25/06/2024 conducting customer discovery for the “Digital Twin Student” Educational Technology Project.
Reseracher: Kranthi Addanki (Lecturer, Information Technology)
Start Date: 01 Jan 2024
End Date: 01 Jan 2024
Title: Graduate Certificate in Education (Tertiary Teaching) , Federation University Australia
Reseracher: Adrian Shatte (Senior Lecturer, Information Technology)
Start Date: 01 Jan 2018
End Date: 01 Jan 2020
Title: Best paper award in the 46th Hawaii International Conference on System Science
Reseracher: Ickjai Lee (Professor - Promotional Chair)
Start Date: 01 Jan 2012
Title: Faculty Citation for Outstanding Contributions to Student Learning
Reseracher: Ickjai Lee (Professor - Promotional Chair)
Start Date: 01 Jan 2009
Title: Best paper award in the Pacific Asia Workshop on Intelligence and Security Informatics
Reseracher: Ickjai Lee (Professor - Promotional Chair)
Start Date: 01 Jan 2007
Title: Most cited researchers (Top 2% world wide)
Reseracher: Iti Chaturvedi (Lecturer, Information Technology)
Start Date: 01 Jan 2022
Title: Doctor of Philosophy, James Cook University
Reseracher: Adrian Shatte (Senior Lecturer, Information Technology)
Start Date: 01 Jan 2013
End Date: 01 Jan 2016
Title: IT Representative, Cairns career show
Reseracher: Kranthi Addanki (Lecturer, Information Technology)
Title: Digital Twin Student , CISRO
Reseracher: Kranthi Addanki (Lecturer, Information Technology)
Start Date: 25 Jun 2024
Title: ACM (lifetime)
Reseracher: Ickjai Lee (Professor - Promotional Chair)
Start Date: 01 Jan 2004