ProfessorsProfessors of La Trobe UniversityTharindu Bandaragoda

Tharindu Bandaragoda

La Trobe University

H-index: 14

Oceania-Australia

About Tharindu Bandaragoda

Tharindu Bandaragoda, With an exceptional h-index of 14 and a recent h-index of 13 (since 2020), a distinguished researcher at La Trobe University, specializes in the field of Machine Learning, AI, Natural Language Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Can online support groups address psychological morbidity of cancer patients? An artificial intelligence based investigation of prostate cancer trajectories

Artificial intelligence based commuter behaviour profiling framework using Internet of things for real-time decision-making

Beyond Social Media Analytics: Understanding Human Behaviour and Deep Emotion using Self Structuring Incremental Machine Learning

Tharindu Bandaragoda Information

University	La Trobe University
Position	Research Centre for Data Analytics & Cognition
Citations(all)	755
Citations(since 2020)	713
Cited By	241
hIndex(all)	14
hIndex(since 2020)	13
i10Index(all)	16
i10Index(since 2020)	15
Email	Access Email
University Profile Page	La Trobe University
Google Scholar	View Google Scholar Profile

Tharindu Bandaragoda Skills & Research Interests

Machine Learning

Natural Language Processing

Top articles of Tharindu Bandaragoda

Title	Journal	Author(s)	Publication Date
Can online support groups address psychological morbidity of cancer patients? An artificial intelligence based investigation of prostate cancer trajectories	Plos one	Achini Adikari Daswin De Silva Weranja KB Ranasinghe Tharindu Bandaragoda Oshadi Alahakoon ...	2020/3/4
Artificial intelligence based commuter behaviour profiling framework using Internet of things for real-time decision-making	Neural Computing and Applications	Tharindu Bandaragoda Achini Adikari Rashmika Nawaratne Dinithi Nallaperuma Ashish Kr Luhach ...	2020/10
Beyond Social Media Analytics: Understanding Human Behaviour and Deep Emotion using Self Structuring Incremental Machine Learning	arXiv preprint arXiv:2009.09078	Tharindu Bandaragoda	2020/9/5