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GMOS-sensor for refrigerators

About

Smart fridge sensors helping reduce food waste

GMOS-Sensor for Refrigerators is an innovation transforming regular refrigerators into smart fridges by helping monitor food spoilage and prevent food loss. These innovative sensors detect gases related to food spoilage and ripening, along with monitoring temperature and humidity. By providing timely information about food conditions, they empower individuals to reduce waste and mitigate environmental impact. The GMOS-Sensor for Refrigerators project aims to contribute to a sustainable future, enabling users to actively manage food resources and reduce emissions, one fridge at a time.

Graduates

  • Ashan Chandio

    Graduated in January 2022 with a Bachelor of Computer Science (Faculty of Computing and Engineering Services) from SZABIST institute of science and technology with a campus in Dubai. Majored in AI, ML, IoT, Operating Systems, Software engineer and Cloud Computing. more

  • Moshe Avraham

    Technion – Israel Institute of Technology

    I am PhD student at Technion - Israel Institute of Technology, focusing on advanced and intelligent sensors. My research work focused on MEMS thermal and Infrared Sensors, developing remote temperature sensors based on the novel TMOS IR sensor. I am passionate about the entire R&D process, from developing mathematical models of complex physical systems to conducting rigorous lab experiments with physical prototypes. more

  • Prof. Yael Nemirovsky

    Prof. Yael Nemirovsky

    Technion – Israel Institute of Technology

    (Life Fellow, IEEE) is a Pro- fessor Emeritus with the Faculty of Electrical Engineering, Technion—Israel Institute of Technology. Her current research interests include CMOS-SOI-NEMS imagers and system-on-chip approach. She is a Fellow of IEEE. Yael is TODOS-Technologies chief scientist more

    Portfolio LinkedIn
  • Adir Krayden

    Technion – Israel Institute of Technology

    MSc student at Technion - Israel Institute of Technology. Focusing on communication, machine learning and software. more

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