Rushi Vyas

Pronouns: he/him/his

Positions

Associate Professor

Schulich School of Engineering, Department of Electrical and Software Engineering

Researcher

Schulich School of Engineering, Pipeline Engineering Centre

Contact information

rushi.vyas@ucalgary.ca

Web presence

Google Scholar link

I'm looking for...

Funding

Study participants

Research partners

Background

Educational Background

B.S. Electrical Engineering, Georgia Institute Technology, 2005

Doctor of Philosophy Electrical Engineering, Georgia Institute Technology, 2014

M.S. Electrical Engineering, Georgia Institute Technology, 2010

Research

Areas of Research

RF/Electromagnetics/Wireless, Power Harvesting IOT Sensors, Digital Health

Participation in university strategic initiatives

Energy innovations for today and tomorrow

Engineering solutions for health

Human dynamics in a changing world

New earth-space technologies

Courses

Course number	Course title	Semester
ENCM 511 Lecture and Lab	Embedded System Interfacing
ENEL 614	Embedded Sensors and Communication
ENEL 475	Electromagnetics
ENEL 471	Communication systems and Signals

Awards

Publication in IEEE Sensors Journal recognized among top 25 downloaded works - June 2014, Institute of Electrical and Electronics Engineers. 2014
Publications in IEEE Sensors Journal recognized among top 25 downloaded works - August 2013, Institute of Electrical and Electronics Engineers. 2013
iCMG Architecture & Future IT Excellence Award 2012, iCMG. 2012
Publications in IEEE Sensors Journal recognized among top 15 downloaded works - January 2011, Institute of Electrical and Electronics Engineers. 2011
IEEE Antennas & Propagation Symposium, – Honorable mention award 2008 and 2009, Institute of Electrical and Electronics Engineers. 2009
IEEE European Union Microwave top paper award - 2008, Institute of Electrical and Electronics Engineers. 2008
IEEE International Microwave Symposium - Student paper finalist 2008 and 2012, Institute of Electrical and Electronics Engineers. 2012

Publications

Power Issues in Biomedical Telemetry (Chapter 5). Le Taoran; Kim Sangkil; Georgakopoulos Stavros; Lakafosis Vasileios; Vyas Rushi; K. Nikita; Traille Anya; Wei Wei; Tentzeris Manos; Lee Hoseon; Kawahara Yoshihiro; Yang Li; Mukala Sagar. Wiley - IEEE Press. (2014)
Integrating tiny RFID and NFC based sensors with the Internet (Chapter 6). Chiara Mariotti; Rushi Vyas; Manos M. Tentzeris; Taoran Le; Vasileios Lakafosis. Cambridge University Press. (2014)
Novel Antenna and Sensing Structures and Complete Wireless Modules for Biomedical Applications. Rushi Vyas; M Tentzeris; K S Nikita. Wiley. 633-690. (2013)
Localization Techniques in single and multi-hop wireless networks. V Lakafosis; N C Karmakar; M M Tentzeris; Rushi Vyas. Wiley-Interscience. 385-412. (2010)
FFT Spectrum Spread With Machine Learning (ML) Analysis of Triaxial Acceleration From Shirt Pocket and Torso for Sensing Coughs While Walking. R.Vyas, K.Doddabasappla. IEEE. (2022)
Spectral Summation with Machine Learning Analysis of Tri-axial Acceleration from multiple wearable points on Human Body for better Cough Detection. K. Doddabasappla, R. Vyas. IEEE. (2021)
A Wideband, Quasi-Isotropic, Ambient RF Energy Harvester Combining UHF-TV and FM. E. Jung, W. Lee, R.Vyas, E. Tentzeris. IEEE. (2021)
Statistical and Machine-learning based Recognition of Coughing Events using Tri-axial Accelerometer Sensor data from multiple wearable points. K. Doddabasappla, R. Vyas. (2021)
Design Test Comparison between Wirelessly-powered Full/Half-Duplex and Sequential RFID Communication Systems for Communication with Magnetic Carbon Steel Pipelines in Oil and Gas Applications. B. Tye, R. Vyas. IEEE. (2019)
Using 2.4 GHz Load-Side Voltage Standing Waves to passively boost RFDC Voltage Conversion in RF Rectifier. R. Vyas, S. Li, F. Ghannouchi. Cambridge University Press. (2019)
Desorption of harmful hydrocarbon compounds in soil using micron-sized magnetic particles and high-frequency magnetic fields. B.Tye, R.Vyas. Elsevier. (2017)

More Information

We are looking for motivated M.Sc and Ph.D. students with a background and interest in one or more of the following areas:

1. Embedded Programing and systems (C, C# on ARM, PIC or similar)

2. App and interface design (Android or iOS app development, Python)

3. RF/Electromagnetics (Ansys, Comsol, ADS)

4. Wireless and Communication systems (Matlab, DSP programing)

5. Sensor Hardware Design

6. Machine Learning

Students work on a number of industry and government funded projects in the areas of digital health, RF/Wireless, power harvesting, Machine learning, IOT and Sensing. Interested students should submit an email to rushi.vyas@ucalgary.ca with the following info:

Subject line: Should include your Undergraduate/Graduate degree, University and Country, and Area of research interest. For e.g "BE and ME in Electrical and Biomedical, University of Cape Town - South Africa, wearable sensors design"

Attachments: pdfs of B.Sc. and M.Sc. transcripts, 1 or 2 page CV including links to recent publications (if any)

Email body: Brief description of technical background, and research interests.