Hajar Abedi
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Hajar Abedi Email & Phone Number

Chief Science Officer at Gold Sentintel
Location: Waterloo, Ontario, Canada 10 work roles 3 schools
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Current company
Role
Chief Science Officer
Location
Waterloo, Ontario, Canada
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Who is Hajar Abedi? Overview

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Quick answer

Hajar Abedi is listed as Chief Science Officer at Gold Sentintel, a company with 6 employees, based in Waterloo, Ontario, Canada. AeroLeads shows a matched LinkedIn profile for Hajar Abedi.

Hajar Abedi previously worked as Research Team Lead at Gold Sentintel and Postdoctoral Fellow at University Of Waterloo. Hajar Abedi holds Doctor Of Philosophy - Phd, Engineering, A from University Of Waterloo.

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Gold Sentintel

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Profile bio

About Hajar Abedi

Developing AI solutions and RF sensing technologies and techniques in healthcare to enhance the quality of life and care, especially for older adults. Background in AI-powered radar systems, signal processing, machine learning & deep learning, and the modeling and analysis of underlying RF phenomena.Developing AI-powered radar-based sensors for in-cabin sensing to improve passenger safety, alert an unattended child/pet inside a car, identify occupied seats, and determine the type of occupants.

Listed skills include Support Vector Machine, Digital Electronics, Avr, Radar, and 29 others.

Current workplace

Hajar Abedi's current company

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Gold Sentintel
Gold Sentintel
Chief Science Officer
Waterloo, ON, CA
Employees
6
AeroLeads page
10 roles

Hajar Abedi work experience

A career timeline built from the work history available for this profile.

Research Team Lead

Current

Waterloo, Ontario, Canada

  • Developed a first-of-its-kind contactless senior monitoring system, from Proof of Concept (PoC) to final product
  • Led multiple open houses and live demonstrations for private and governmental (i.e. Ontario Minister of Long Term Care) fundraising
  • Led the collaboration between a group of physicians and AI/radar engineers to develop AI-interpreted senior disease prediction and detection
  • Developed, evaluated, recommended, and implemented procedures for performance improvement
Apr 2022 - Present

Postdoctoral Fellow

Current

Waterloo, Ontario, Canada

  • Led a collaborative study titled “Modeling Activities of Daily Living Using Smart Home Technologies” aimed at enhancing seniors quality of life
  • Conducted simulations, validation, and testing at the Schlegel-UW Research Institute for Aging apartment and optimized radar systems to ensure systems & setups meet sensitivity, coverage, and detection requirements
Jun 2023 - Present

Research Assistant

Waterloo, Ontario, Canada

  • In-vehicle Occupancy Detection
  • Led the development of AI-powered automotive radar-based sensors for in-cabin Sensing
  • Developed a radar-based sensor for detection of unattended infants, toddlers or pets in cars
  • Developed machine learning and deep learning models for people counting and positioning in the vehicles
  • Developed deep learning models to identify the type of occupants (adults, kids and infants)
  • Develop machine learning and deep learning models to identify distracted drivers
May 2019 - Mar 2022

Intern

Montreal, Quebec, Canada

  • Proposed an unsupervised learning based contactless hallway gait monitoring system
Sep 2021 - Jan 2022

Scientific Researcher

Montreal, Quebec, Canada

  • Involved in a nationwide collaborative first-of-its-kind research study (a bedrest study) on the health impacts of inactivity
  • Conducted data collection, analysis, and validation of different sensors in the bedrest study, focusing on biomedical non-contact vital sign detection and gait analysis, demonstrating that RF sensor shows 14-day.
Aug 2021 - Jan 2022

Intern

Waterloo, Ontario, Canada

  • Remote Activity Monitoring and Fall Detection System
  • Analysis and validation of mm-wave FMCW MIMO radar sensors operation in fall detection
  • Analysis and validation of mm-wave FMCW MIMO radar sensors operation in vital signs monitoring
May 2020 - Sep 2020

Research Assistant

Bābol, Mazandaran, Iran

  • Multiband Energy Harvesting Systems
  • Designed a meandered loop antenna at FM and GSM band in CST Microwave Studio
  • Fabricated and tested the meandered loop antenna for energy harvesting system
Feb 2017 - Dec 2018

Research Assistant

Bābol, Mazandaran, Iran

  • Electrical Small Antennas (ESAs) Design
  • Designed, fabricated and tested electrical small antennas for MF/HF band
Feb 2017 - Jun 2017

Sensor Design Engineer

Babol Noshirvani University Of Technology- Robotic Club

Babol, Mazandaran Province, Iran

  • Designed a line-following robot utilizing an AVR microcontroller.
  • Developed a human motion detector system employing weight sensors, motion sensors, and an AVR microcontroller.
Jun 2009 - Sep 2013
3 education records

Hajar Abedi education

Doctor Of Philosophy - Phd, Engineering, A

Thesis: Autonomous Radar-based Gait Monitoring System • Proposed AI-powered non-contact in-home gait monitoring and activity recognition.

Master Of Science - Ms, Ece- Em Field And Waves, A+

Thesis: Through-the-Wall Imaging using Active and Passive Synthetic Aperture Radars (SAR) • Enhanced target identification and feature.

FAQ

Frequently asked questions about Hajar Abedi

Quick answers generated from the profile data available on this page.

What company does Hajar Abedi work for?

Hajar Abedi works for Gold Sentintel.

What is Hajar Abedi's role at Gold Sentintel?

Hajar Abedi is listed as Chief Science Officer at Gold Sentintel.

Where is Hajar Abedi based?

Hajar Abedi is based in Waterloo, Ontario, Canada while working with Gold Sentintel.

What companies has Hajar Abedi worked for?

Hajar Abedi has worked for Gold Sentintel, University Of Waterloo, Tandemlaunch Inc., Centre Universitaire De Santé Mcgill | Mcgill University Health Centre, and Babol Noshirvani University Of Technology.

How can I contact Hajar Abedi?

You can use AeroLeads to view verified contact signals for Hajar Abedi at Gold Sentintel, including work email, phone, and LinkedIn data when available.

What schools did Hajar Abedi attend?

Hajar Abedi holds Doctor Of Philosophy - Phd, Engineering, A from University Of Waterloo.

What skills is Hajar Abedi known for?

Hajar Abedi is listed with skills including Support Vector Machine, Digital Electronics, Avr, Radar, C, Cst Microwave Studio, Microsoft Powerpoint, and Matlab.

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