fARSHID sALEMI pARIZI

 
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I am a Ph.D. student at the University of Washington, advised by Shwetak Patel in the Ubiquitous Computing (UbiComp) lab. My research focuses on developing novel sensing solutions that enhance existing sensors in the environment and uncover new opportunities for dedicated sensing solutions to fill the gaps in current sensing systems. Using my diverse skillset in signal processing, embedded system design, physical prototyping, and analog hardware design, I am always interested in tackling the most challenging research questions in user interactions and tracking.

 
 

PUBLICATIONS

2018

 Neglected toilet overflow can cost thousands of dollars. We propose RoyalFlush: a novel non-invasive overflow system meant to detect such events in their early stages and prevent them from escalating. RoyalFlush uses a floating capacitive sensing technique that relies on the sizable difference between the dielectric constants of water and air for tracking changes in the water level. Capacitive sensing in this way does not require any hardware inside the toilet bowl.

Neglected toilet overflow can cost thousands of dollars. We propose RoyalFlush: a novel non-invasive overflow system meant to detect such events in their early stages and prevent them from escalating. RoyalFlush uses a floating capacitive sensing technique that relies on the sizable difference between the dielectric constants of water and air for tracking changes in the water level. Capacitive sensing in this way does not require any hardware inside the toilet bowl.

RoyalFlush: Non-invasive Water Level Monitoring to Prevent Toilet Overflows

Farshid Salemi Parizi, Josh Fromm, Shantanu Deshpande, Shwetak Patel

IoT 2018

 Internet of Things (IoT) applications and platforms are becoming increasingly prevalent. To alleviate recurrent battery replacement and maintenance, we propose a novel battery-free, stick-on capacitive energy harvester that harvests the stray electric field generated around AC power lines without an ohmic connection to earth ground reference, thereby obviating the need for cumbersome scraping of paint on concrete walls or digging a earth ground plate. Furthermore, our harvester does not require any appliance or load to be operating on the power line and can continuously harvest power after deployment.

Internet of Things (IoT) applications and platforms are becoming increasingly prevalent. To alleviate recurrent battery replacement and maintenance, we propose a novel battery-free, stick-on capacitive energy harvester that harvests the stray electric field generated around AC power lines without an ohmic connection to earth ground reference, thereby obviating the need for cumbersome scraping of paint on concrete walls or digging a earth ground plate. Furthermore, our harvester does not require any appliance or load to be operating on the power line and can continuously harvest power after deployment.

CapHarvester: A Stick-on Capacitive Energy Harvesting Using Stray Electric Field

Manoj Gulati* , Farshid Salemi Parizi*, Eric Whitmire, Sidhant Gupta, Shobha Sundar Ram, Amarjeet Singh, Shwetak Patel

(*Co-primary authors)

UBICOMP 2018

2016

 Knowledge of energy flow in a microwatt-class energy harvesting system is essential to reliable deployment and scheduling of sensing, computation, communication, and actuation tasks. However, existing techniques for monitoring energy flow fail to meet the basic requirements for in-situ realtime monitoring systems by failing to be efficient and failing to perform accurately across a wide dynamic range. UMonitor, makes use of a highly power-optimized “Coulomb counting” implementation to achieve less than 1.7 microampere current draw, 94% efficiency in-situ, and high energy flow measurement accuracy across four orders of magnitude.

Knowledge of energy flow in a microwatt-class energy harvesting system is essential to reliable deployment and scheduling of sensing, computation, communication, and actuation tasks. However, existing techniques for monitoring energy flow fail to meet the basic requirements for in-situ realtime monitoring systems by failing to be efficient and failing to perform accurately across a wide dynamic range. UMonitor, makes use of a highly power-optimized “Coulomb counting” implementation to achieve less than 1.7 microampere current draw, 94% efficiency in-situ, and high energy flow measurement accuracy across four orders of magnitude.

UMonitor: In-situ Energy Monitoring with Microwatt Power Consumption

Saman Naderiparizi, Aaron N.Parks, Farshid Salemi Parizi, Joshua R.Smith

IEEE RFID 2016 Best Paper Nominee (Top 3 papers)

NEWS

  • OCT 2018: ATTENDED ACM Iot conference in santa barbara

  • MARCH 2018: The UW Reality Lab recently held its 2018 Research Proposal Competition. Teams for 20 projects related to Augmented and Virtual Reality pitched their proposals to a judging panel, made up of the UW Reality Lab’s Advisory Board. I was picked as one of the researchers in the UW Reality Lab. More…

TEACHING

University ofWashington

CSE 475, Embedded Systems Capstone (Lead Lab Assistant for Shwetak Patel)

EE 371, Design of Digital Circuits and Systems (Lead Lab Assistant for Allan Ecker)

Sharif University of Technology

Analog Electronics (CAD instructor for Fotowat Ahmady)

Principals of Electronics ( CAD instructor for Sharif Bakhtiar)

CONTACT ME