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Research Summary: BSP

The overall theme of my research in this area is to develop novel engineering methods to help solve relevant data science (big data), digital signal processing and biomedical engineering problems. I'm particularly interested in problems involving the application of advanced statistical signal processing \& data science techniques to develop novel methods to analyze and extract information from physiologic signals that can help doctors make better diagnostic decisions and improve patient outcome. Additionally, I'm interested in the development of innovative medical devices & diagnostic systems that have the potential to improve patient treatment and quality of life while reducing the overall cost of healthcare. As part of technology transfer efforts to commercialize part of these research outputs, I co-founded APDM Inc (a wearable technologies company that commercializes best-in-class solutions for quantification of human movement using inertial sensors). For additional details visit: &

Summary of Research Stats:
- MAR Ranking (Last 10 Years): Ranked 51 out of 48515 biomedical engineering researchers based on individual impact factor (2014 Microsoft Academic Research - Top World Researches in Biomedical Engineering).
- Scholarly Publications: 100+
- H-Index in Biomedical Engineering: 25+
- i10 Index in Biomedical Engineering: 39
- Citations (5 years): $>$ 1000
- No. Patents/Patent Application Publications: 45+
- Medical Device Companies: Co-Founded APDM Inc (Wearable Device Company for Quantification of Human Movement)
- For additional details visit:

For more information about this research area visit Google Scholar, BiomedExperts, ResearchGate, and PubMED