Faisal Shennib, M.Eng, PMP, LEED AP

Faisal Shennib, M.Eng, PMP, LEED AP

Westmount, Quebec, Canada
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Experience

Education

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    I work with a multi-disciplinary supervisory committee from Engineering (including Systems Risk and Analysis, and Civil Engineering) and Marketing (Behavioral psychology), bringing together a wide-array of concepts to address the socio-technical issue of waste. I examine the potential of new, advanced technologies like internet of things, artificial intelligence, and open data systems to catalyze new relationships and implement more effective policies to reach zero waste goals. I consider the…

    I work with a multi-disciplinary supervisory committee from Engineering (including Systems Risk and Analysis, and Civil Engineering) and Marketing (Behavioral psychology), bringing together a wide-array of concepts to address the socio-technical issue of waste. I examine the potential of new, advanced technologies like internet of things, artificial intelligence, and open data systems to catalyze new relationships and implement more effective policies to reach zero waste goals. I consider the benefits and potential harms of these approaches, in order to inform future policy on the topic of material consumption and disposal paradigms.

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    Activities and Societies: Sustainable Concordia

    During my masters degree, I dove deep into environmental engineering, considering the biochemical, technological, and social processes necessary to implement and regulate for sustainable management of pollutants. It was during this degree that I realized I wanted to apply myself beyond the traditional paradigm of "management" of the outputs of our consumption processes. I was inspired by brilliant and eloquent professors who shone a light on the wider systemic issues even while we focused on…

    During my masters degree, I dove deep into environmental engineering, considering the biochemical, technological, and social processes necessary to implement and regulate for sustainable management of pollutants. It was during this degree that I realized I wanted to apply myself beyond the traditional paradigm of "management" of the outputs of our consumption processes. I was inspired by brilliant and eloquent professors who shone a light on the wider systemic issues even while we focused on technical details necessary to model these processes.

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    Activities and Societies: People for Workers Rights

Licenses & Certifications

Publications

  • Open Data, IoT And AI for Circular Economy in Resource Constrained Communities

    IEEE Technology and Society Magazine

    We introduce several interrelated problems present in municipal solid waste recycling efforts, both globally and locally. We demonstrate how the lack of adequate global waste tracking and community-level waste contamination are related issues. This article elaborates on how these issues could be addressed with the Internet of Things (IoT), artificial intelligence (AI), and open data technology deployment. We will investigate the existing and possible applicability of this solution in…

    We introduce several interrelated problems present in municipal solid waste recycling efforts, both globally and locally. We demonstrate how the lack of adequate global waste tracking and community-level waste contamination are related issues. This article elaborates on how these issues could be addressed with the Internet of Things (IoT), artificial intelligence (AI), and open data technology deployment. We will investigate the existing and possible applicability of this solution in resource-constrained environments, as opposed to exclusive use in the typical “smart city” context. Finally, we discuss the risks and limitations of this approach

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  • Data-driven technologies and artificial intelligence in circular economy and waste management systems: a review

    IEEE ISTAS 2021

    Sustainable waste management is an objective that is far from our current reach, requiring new paradigms of thought, policy, and technology to achieve. The explosion of new applications of data-driven technologies provides the opportunity to be applied to the challenges of waste management and moving towards circular economy. This paper reviews a broad scope of current applications of data-driven and artificial intelligence in the domain of waste management, as collected from journals, reports,…

    Sustainable waste management is an objective that is far from our current reach, requiring new paradigms of thought, policy, and technology to achieve. The explosion of new applications of data-driven technologies provides the opportunity to be applied to the challenges of waste management and moving towards circular economy. This paper reviews a broad scope of current applications of data-driven and artificial intelligence in the domain of waste management, as collected from journals, reports, and a survey of business practices. We observed that few existing applications aim to make waste data openly available. Based on this gap, we propose novel areas for research and development to assess the potential of collaborative, open, data- driven circular economy initiatives.

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Honors & Awards

  • Best Paper in Category (ICSD 2024)

    International Conference for Sustainable Development

    Best paper in category "7B Leveraging open data and artificial intelligence (AI) to measure SDG progress in resource-limited settings" for "OpenWaste – a proposal for an open data, IoT and AI-driven framework to drive community-level circular economy and reach zero waste targets"

  • Sustainability Living Laboratory Funding Program

    Concordia University Sustainability Action Fund / Office of Sustainability

    Received $14,000 in funding to support community-driven research on the OpenWaste project, including development of computer vision models for waste sorting assistance, a mobile application, and integration into smart waste bin systems.

  • Applied AI Institute's Matching Funding Program

    Concordia University Applied AI Institute

    Received $15,000 in funding to support the OpenWaste research project. The AI2 Matching Funding Grant at Concordia University offers financial support for artificial intelligence-related research projects; proposals are evaluated based on criteria such as research quality, impact, and alignment with the institute's strategic objectives.

  • Sustainability Research Award

    Concordia Sustainability Action Fund

    The Sustainability Research Awards Program is a scholarship program that aims to recognize Concordia students who are working towards sustainable change on campus through their coursework or research.

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