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.
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Chief Science OfficerGold SentintelWaterloo, On, Ca -
Research Team LeadGold Sentintel Apr 2022 - PresentWaterloo, 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 -
Postdoctoral FellowUniversity Of Waterloo Jun 2023 - PresentWaterloo, 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 -
Research AssistantUniversity Of Waterloo May 2019 - Mar 2022Waterloo, Ontario, CanadaIn-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 • Simulated and verified MIMO antennas coverage inside a vehicle• Led a team to design and fabricate phantoms to mimic infants inside a car• Led data collection campaign inside various vehicles• Collaborated and worked with grad and undergrad students, coops and several industrial partners -
InternTandemlaunch Inc. Sep 2021 - Jan 2022Montreal, Quebec, Canada• Proposed an unsupervised learning based contactless hallway gait monitoring system -
Scientific ResearcherCentre Universitaire De Santé Mcgill | Mcgill University Health Centre Aug 2021 - Jan 2022Montreal, 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 head-down bedrest promotes reductions in walking speed -
InternGold Sentintel May 2020 - Sep 2020Waterloo, Ontario, CanadaRemote 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 -
Research AssistantBabol Noshirvani University Of Technology Feb 2017 - Dec 2018Bābol, Mazandaran, IranMultiband 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 -
Research AssistantBabol Noshirvani University Of Technology Feb 2017 - Jun 2017Bābol, Mazandaran, IranElectrical Small Antennas (ESAs) Design• Designed, fabricated and tested electrical small antennas for MF/HF band -
Sensor Design EngineerBabol Noshirvani University Of Technology- Robotic Club Jun 2009 - Sep 2013Babol, 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.
Hajar Abedi Skills
Hajar Abedi Education Details
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Ece- Em Field And Waves
Frequently Asked Questions about Hajar Abedi
What company does Hajar Abedi work for?
Hajar Abedi works for Gold Sentintel
What is Hajar Abedi's role at the current company?
Hajar Abedi's current role is Chief Science Officer.
What schools did Hajar Abedi attend?
Hajar Abedi attended University Of Waterloo, Bnut - Babol Noshirvani University Of Technology, Bnut - Babol Noshirvani University Of Technology.
What skills is Hajar Abedi known for?
Hajar Abedi has skills like Support Vector Machine, Digital Electronics, Avr, Radar, C, Cst Microwave Studio, Microsoft Powerpoint, Matlab, Pcb Design, Long Short Term Memory, Microcontrollers, Decision Trees.
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Hajar Abedi
Waterloo, On -
hajar abedi
Iran
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