Inspires students to achieve their best.
A true mentor who cares about success.
Inspires students to reach new heights.
Encourages questions and exploration.
Dr. Beena Kishore is a Senior Lecturer in the School of Information Technology at Murdoch University, where she has been employed since February 2012. She holds the position of Academic Chair for the Master of Information Technology (IT Management) program (M1220). In 2023, Kishore completed her Professional Doctorate at Murdoch University with the thesis titled 'A natural language generation system for patient psychotherapy.' Her career at Murdoch encompasses teaching, research, and student mentorship in information technology fields.
Kishore's research focuses on artificial intelligence for psychotherapy, developing software that employs an Affect Based Language Generation system to produce responses for patient scenarios including depressive thoughts, marriage conflicts, and anxiety. A focus group evaluation found the system's outputs helpful and appropriate, underscoring the role of manually created rules informed by human expertise to ensure careful language use, security, and accountability in medical AI implementations. Her innovations have been highlighted in Murdoch University news and The West Australian, noting potential benefits for remote workers like FIFO personnel and ongoing post-COVID mental health support needs. Key publications include co-authorship on 'Conceptual Reasoning for Generating Automated Psychotherapeutic Responses,' presented at the 6th International Workshop on Graph Structures for Knowledge Representation and Reasoning (GKR 2020), and 'A Natural Language Generation Technique for Automated Psychotherapy' (2021, Springer), both in collaboration with Graham A. Mann and Pyara Dhillon from Murdoch University. In teaching, she coordinates units such as ICT284 Systems Analysis and Design (2025) and Introduction to Machine Learning, and serves as a hackathon mentor, including the 'Scam the Scammers' event promoting cybersecurity for students from IT and Law schools.
