Madhu Chetty

Biography

Associate Professor Madhu Chetty obtained his Ph.D. in Electrical Engineering in 1992. As an academic/researcher, he has worked in several universities such as University of Melbourne, Australia; V. National Institute of Technology(earlier VRCE), India; Delft University of Technology, The Netherlands and at Monash University, Australia. While at Monash, A/Prof Chetty worked in the ECSE(Electrical and Computer Engineering) department from 1995-2000. Subsequently, he joined the then Gippsland school of Information Technology, Monash University. With the Gippsland campus of Monash joining Federation University Australia, he now works as a full time Associate Professor at the new university from January 1st 2014. On invitation, A/Prof Chetty also served as Visiting Associate Professor at India's prestigious IIT Bombay (2013-2014) and also offered Visiting Fellowship at the renowned Systems Biology Research Centre at University of Warwick (2013). In his capacity as a Principal Fellow (honorary) in the School of Engineering,University of Melbourne, and also as an Associate Professor (adjunct) at Monash University, Madhu continually collaborates with renowned researchers of the two universities. As lead CI, he has secured competitive national research grants to fund his research with international collaboration. He is Associate Editor of Elsevier's Neurocomputing journal. He also served as Guest Editor for two special journal issues published by Elsevier and was also editor for Lecture Notes in Bioinformatics for Springer. He has supervised various post-doctoral researchers who were funded through his Cat-1 research grants. He is also actively involved in serving the research community. He was General Chair of Bioinformatics Conference at Melbourne. He also served as Co-General Chair, Steering Committee member, Special Session chair, Technical Chair, Special Chair in international conferences. He is also serving as assessor of ARC research grant applications. He is a member of the faculty's research committee and the Faculty Education Board and a representative of Federation University on NICTA (now Data61) committee. As "Faculty HDR(Higher Degree by Research) coordinator", he contributes actively to the research training within the faculty.

Research Interest

 Computational intelligence, Machine Learning, Big Data analytics Evolutionary optimisation (genetic, memetic etc.) Bioinformatics, Health Informatics, Systems biology, Computational Biology Modeling/ Simulation of large scale complex systems, including probabilistic (Bayesian) and deterministic (ODEs) approaches