Find a researcher

Find your prospective supervisor, research project or research group, collaborator or expert by searching UNSW Sydney Researcher Profiles. Use keywords to view their research interests, publications and areas of expertise.

Dr Chaoran Huang

Faculty: Engineering
Fields of Research (FoR): Interorganisational Information Systems and Web Services, Knowledge Representation and Machine Learning, Pattern Recognition and Data Mining
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Chaoran Huang is a Postdoctoral Fellow at School of Computer Science and Engineering, The University of Ne
Dr Inma Tomeo-Reyes

Faculty: Engineering
Fields of Research (FoR): Signal Processing, Pattern Recognition, Knowledge Representation and Machine Learning
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My research over the course of my career encompasses studies related to signal and image processing, pattern recognition and machine learning.
Dr Yang Song

Faculty: Engineering
Fields of Research (FoR): Computer Vision, Artificial Intelligence and Image Processing, Pattern Recognition and Data Mining, Radiology and Imaging, Knowledge Representation and Machine Learning
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Dr Yang Song is an ARC Future Fellow, UNSW Scientia Fellow and Senior Lecturer in the School of Computer Science and Engineering.
Associate Professor Gustavo Batista

Faculty: Engineering
Fields of Research (FoR): Knowledge Representation and Machine Learning, Pattern Recognition and Data Mining
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I joined UNSW as an associate professor in 2018, after working for more than ten years for the University of Sao Paulo (USP).
Dr Xin Cao

Faculty: Engineering
Fields of Research (FoR): Database Management, Information Retrieval and Web Search, Pattern Recognition and Data Mining, Knowledge Representation and Machine Learning

I am currently an ARC DECRA Fellow and a senior lecturer in the School of Computer Science and Engineering (CSE) at The University of New South Wales (UNSW).
Dr Fatemeh Vafaee

Faculty: Science
Fields of Research (FoR): Systems Biology, Bioinformatics, Other Artificial Intelligence, Knowledge Representation and Machine Learning

Academic Experience: 2017 - Present: Senior Lecturer, School of BABS, UNSW Sydney
Dr Kaavya Sriskandaraja

Faculty: Engineering
Fields of Research (FoR): Knowledge Representation and Machine Learning, Pattern Recognition and Data Mining, Other Artificial Intelligence, Linguistic Processes (incl. Speech Production and Comprehension), Signal Processing

Kaavya Sriskandaraja is currently a Postdoctoral Research Fellow at the School of Electrical Engineering and Telecommunications, UNSW, Sydney, Australia.
Dr Shuchao Pang

Faculty: Engineering
Fields of Research (FoR): Biomedical Engineering, Computer Vision, Knowledge Representation and Machine Learning
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Currently, Dr. Shuchao Pang is working on medical data analysis and intelligent healthcare at the University of New South Wales and Ingham Institute, as a member of Prof.
Dr Vidhyasaharan Sethu

Faculty: Engineering
Fields of Research (FoR): Signal Processing, Linguistic Processes (incl. Speech Production and Comprehension), Pattern Recognition, Knowledge Representation and Machine Learning
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Dr Vidhyasaharan Sethu is a Senior Lecturer with the School of Electrical Engineering and Telecommunications. His primary research interests are in the field of speech signal processing.
Dr Beena Ahmed

Faculty: Engineering
Fields of Research (FoR): Electrical and Electronic Engineering, Knowledge Representation and Machine Learning, Signal Processing, Pattern Recognition and Data Mining
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Dr. Beena Ahmed is a Senior Lecturer in Signal Processing with the School of Electrical Engineering and Telecommunications. She received her B.Sc.
Professor Aruna Prasad Seneviratne

Faculty: Engineering
Fields of Research (FoR): Mobile Technologies, Knowledge Representation and Machine Learning, Data Security, Distributed Computing, Input, Output and Data Devices
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Aruna Seneviratne foundation Professor of Telecommunications at the University of New South Wales (Australia) where he holds the Mahanakorn Chair of Telecommunications.
Machine Learning for Personalised Heart Disease Treatment

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Cardiovascular disease is the single largest killer in the world, causing heart attacks and strokes. Experimental investigation of underlying principals are key in combating this epidemic, however individual considerations are still completely missing.