معرفی
Ganesh R. Naik is an Adjunct Professor at the College of Medicine and Public Health, Flinders University, and a Full Member of the Flinders Health and Medical Research Institute. He is ranked in the top 2% of researchers worldwide in Biomedical Engineering (Stanford University). His expertise lies in biomedical signal processing, algorithm design, and health technologies, with significant contributions to sleep research and global disease burden studies.
- PhD in Electronics Engineering (Biomedical Engineering, Data Science, Signal Processing), RMIT University, 2009
Dr. Naik's research focuses on advanced signal processing techniques such as independent component analysis, blind source separation, and machine learning applications in biomedical data. His work spans areas including electromyography, sleep disorders, and large-scale epidemiological modeling through the Global Burden of Disease (GBD) Study.
The recent publications highlight a strong interdisciplinary trend, combining biomedical engineering with public health and artificial intelligence. Key themes include sleep apnea and diabetes, neurological disorders like epilepsy and Parkinson’s, wearable sensors, and AI-driven cybersecurity. His editorial leadership in journals like IEEE Access and Frontiers in Neurorobotics underscores his influence in the academic community.
Scientific Awards and Honors:
- Bridge and BridgeTech Industry Fellowship (2023)
- Chancellor’s Postdoctoral Research Fellowship, UTS (2013–2016)
- ISSI Overseas Fellowship, Skills Victoria (2010)
- IEEE Victoria Travel Scholarship (2008)
- Baden-Württemberg PhD Scholarship, Germany (2006–2007)
Dr. Naik has supervised numerous research students and led major projects, including a multimillion-dollar CRC project on sleep at Western Sydney University. He has edited 12 books and authored over 150 peer-reviewed publications, cited over 5,000 times. His current research involves wearable technologies, digital twins for health, and AI-based predictive models for chronic diseases.
He is actively involved in editorial roles and international collaborations, contributing to advancements in biomedical engineering and public health policy. His lab work emphasizes real-world applications of signal processing in clinical and community settings.
