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Sina Askari

Researcher at University of California, Irvine

Publications -  30
Citations -  606

Sina Askari is an academic researcher from University of California, Irvine. The author has contributed to research in topics: Gyroscope & Inertial navigation system. The author has an hindex of 11, co-authored 30 publications receiving 475 citations. Previous affiliations of Sina Askari include California State University, Los Angeles & Medtronic plc.

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Journal ArticleDOI

Demonstration of 1 million Q -factor on microglassblown wineglass resonators with out-of-plane electrostatic transduction

TL;DR: In this article, the authors reported Q-factor over 1 million on both n = 2 wineglass modes and high-frequency symmetry (Af/f ) of 132 ppm on wafer-level microglassblown 3-D fused silica wineglass resonators at a compact size of 7mm diameter and center frequency of 105 kHz.
Journal ArticleDOI

Usage and Effectiveness of the Low Glucose Suspend Feature of the Medtronic Paradigm Veo Insulin Pump

TL;DR: Use of the LGS feature significantly reduced exposure to hypoglycemia in patients using the Medtronic Paradigm Veo™ pump with automatic low glucose suspend, and this feature was on for most of the patient days in the study.
Proceedings ArticleDOI

100K Q-factor toroidal ring gyroscope implemented in wafer-level epitaxial silicon encapsulation process

TL;DR: In this paper, a toroidal ring gyroscope with a measured Q-factor of > 100,000 on both wineglass and wineglass modes at a compact size of 1760 μm was reported.
Proceedings ArticleDOI

Study on Mounting Position of IMU for Better Accuracy of ZUPT-Aided Pedestrian Inertial Navigation

TL;DR: This study is the first attempt to investigate the velocity uncertainty during the stance phase in pedestrian navigation, a critical characteristic of ZUPT-aided algorithms.
Journal ArticleDOI

An Ultrahigh Vacuum Packaging Process Demonstrating Over 2 Million Q-Factor in MEMS Vibratory Gyroscopes

TL;DR: In this paper, the authors presented a reliable and repeatable high vacuum sealing process as a standalone approach for performance evaluation of dynamic micro devices, which can be adapted for other Micro Electro-Mechanical Systems (MEMS) with ultrahigh vacuum requirements.