Maria G. Martini
Papers
11
Total Citations
186
H-Index
7
About
Maria G. Martini is a pioneering researcher whose work sits at the intersection of wireless communications, medical imaging, and neuromorphic vision systems. Best known for her contributions to mobile health (m-health) technologies, Martini has spent over a decade advancing the reliable transmission of medical video over bandwidth-constrained wireless networks — a challenge with profound clinical implications. Her early work on wireless teleultrasonography, including cross-layer and multilayer control approaches for medical video streaming (cited 43 and 33 times respectively), helped lay the groundwork for remote diagnostic systems that allow expert-quality ultrasound care to reach patients without requiring specialists on-site. Martini has also made significant strides in robotic telesurgery, exploring 3D surgical video quality and real-time remote surgical training over next-generation networks. More recently, her research has expanded into neuromorphic vision — specifically dynamic vision sensors (DVS) — where she has tackled bandwidth modeling, data rate estimation, and lossless encoding challenges critical for autonomous vehicles, drones, and IoT systems. Her 2020 paper on time-aggregation-based encoding for neuromorphic data has already garnered 35 citations, signaling growing influence in this emerging field. Across her career, Martini's work consistently bridges cutting-edge sensing technologies with the practical demands of real-world wireless networks.
Research Focus
Key Achievements
Top Papers
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- 3Robust Multilayer Control for Enhanced Wireless Telemedical Video Streaming33 citations · 2009
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- 53-D robotic tele-surgery and training over next generation wireless networks18 citations · 2013
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- 9Quality evaluation of compressed 3D surgical video4 citations · 2014
- 103D Robotic Surgery and Training at a Distance2 citations · 2013