Ganesh R. Naik is ranked among the top 1% of researchers worldwide in Biomedical Engineering, according to Stanford University’s global research rankings. He is a leading expert in biomedical engineering and signal processing. He received his Ph.D. in Electronics Engineering, with a specialization in biomedical engineering and signal processing, from RMIT University, Melbourne, Australia, in December 2009.

Dr. Naik is currently an Associate Professor and Higher Degree Research Director in Computer Science and Information Technology at Torrens University, Adelaide, Australia. Previously, he served as a research theme co-lead and academic at the Adelaide Institute for Sleep Health at Flinders University from July 2020 to August 2023. He held a Postdoctoral Research Fellow position at the MARCS Institute, Western Sydney University, between July 2017 and July 2020, and earlier a Chancellor’s Postdoctoral Research Fellowship at the Centre for Health Technologies, University of Technology Sydney, from February 2013 to June 2017.

Dr. Naik has led the data analysis team on a multimillion-dollar Cooperative Research Centre (CRC) project on sleep, developing several novel algorithms for wearable technologies and sleep monitoring. His research has had a significant translational impact across digital health and biomedical applications.

As a mid-career researcher, Dr. Naik has authored 3 books, edited 18 books, and published over 200 peer-reviewed journal and conference papers, including more than 80 Q1 journal articles. He currently serves as an Associate Editor for IEEE Access, Frontiers in Neurorobotics, and two Springer journals: Circuits, Systems, and Signal Processing and Australasian Physical & Engineering Sciences in Medicine.

His awards and fellowships include the Baden–Württemberg Scholarship (Germany, 2006–2007), an ISSI Overseas Fellowship (Australia, 2010), a BridgeTech Industry Fellowship from the Medical Research Future Fund, Government of Australia (2023), and the prestigious UK Royal Society Fellowship (2025).

Dr. Naik’s research interests span sleep research, brain–computer interfaces, cardio-respiratory signal processing, big data analytics, machine learning, artificial intelligence, digital health, and prosthetic applications.