Associate Researchers

Professor Ajit NarayananProfessor Ajit Narayanan

Ajit is the Head of School of Computing and Mathematical Sciences. His research areas includes application of artificial intelligence techniques in bioinformatics and systems biology computational statistics, modelling and simulation and computational linguistics, artificial intelligence, and cognitive science. He is interested in applying discriminant analysis and other analytical methods to trc's quest to observe and determine correlation and variable value dependance between different data types. His publication includes books, journal articles and international conference presentations.


Professor Krishnamachar PrasadProfessor Krishnamachar Prasad

Krishnamachar Prasad's research focuses on the development and reliability studies of novel interconnects in conventional and three dimensional integrated circuits. He has worked extensively on the technology development and characterisation of a variety of silicon and compound semiconductor devices and integrated circuits. He is currently venturing into a study of semiconductor based sensors for odour, colour and chemical profiling, in order to develop smart tools that can be used in the fruit, wine, fish and fast food industries. He has published about 150 papers in peer reviewed international journals and conferences.


International Associates

Dr Sergio HernandezDr Sergio Hernandez

Sergio is a lecturer at the Universidad Catolica del Maule (UCM), Chile. He studied Acoustic Engineering at the Universidad Tecnologica de Chile and completed a Masters in Computer Engineering at the Universidad de Santiago de Chile. He developed a neuro-fuzzy method for dimensionality reduction and classification in non destructive testing. He holds a PhD in Computer Science from Victoria University of Wellington, where he has developed a method for tracking multiple objects in video sequences. He undertook a postdoctoral research position in the trc prior to returning to UCM in 2013. His research interests include machine learning, data mining, spatial statistics and pattern recognition.