Education and Activities


2011 – 2014     Doctor of Philosophy (PhD) – Biomedical Engineering, Auckland University of Technology, Auckland, NZ.

2009 – 2010     Master of Engineering (ME) – Research (Hons) – Electrical and Electronics Engineering, Auckland University of Technology, Auckland, NZ.

2008 – 2009     Master of Engineering (ME St) – Studies (Hons) – Electrical and Electronics Engineering, Auckland University of Technology, Auckland, NZ.

2003 – 2007     Bachelor of Engineering (BE) (Hons) – Electrical and Electronics Engineering, JNTU University, India.



2017     SNOMED CT Foundation Course, SNOMED International

2015     Information Technology and Infrastructure Library® (ITIL®), ITIL, Auckland, NZ.

2012     Tertiary Teaching Certification, Auckland University of Technology, Auckland, NZ.

2007     Certified Automation Engineer, Prolific Systems and Technologies, India.

2007     Electrical, Computer Aided Design (ECAD), CADD Centre, India.



738015     Digital Signal Processing and its Applications

738027     Digital Signal Processing

737437     Biomedical Signal Processing

737438     Biomedical Instrumentation – I

705003     Engineering Computing

735313     Digital Device and Systems

DET 610    Electronic Communications

DET 600    Digital Systems


 Professional Memberships

  • IEEE – Engineering in Medicine and Biology Society (EMBS)
  • HINZ – Health Informatics New Zealand
  • IPENZ – The Institute of Professional Engineers New Zealand


Advisory Board Member

  • International College of Auckland (ICA) – Engineering and Information Systems, Auckland, NZ
  • Centre for Research and Innovation (CRI) – Industrial/ Applied research, Auckland, NZ
  • Ntec Tertiary Group – Engineering Program, Auckland, NZ
  • Medical Device and Sensors – National Group, NZ
  • Health and Wellbeing Solutions – Centre for eHealth


Research, Innovation & Development

  • Health IT system level measures; Quality matrix; Clinical decision support
  • Remote patient monitoring (vital signs and bedside monitoring)
  • Digital signal processing and its applications
  • Medical Device Data and Big Data analysis
  • Medical informatics and e-, m-Health
  • Biomedical sensors/devices and decision support systems
  • Fuzzy logic, machine learning and hybrid neural networks
  • Wireless/wearable sensors and systems
  • Smart patient monitoring and diagnosis systems
  • Older adult healthcare and well-being