Maria S.

Maria S.

Sunnyvale, California, United States
12K followers 500+ connections

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LinkedIn
University of Oklahoma

About

#Engineer #ComputerVision #Python #DeepLearning #MachineLearning

Experience

  • LinkedIn Graphic

    LinkedIn

    Sunnyvale, California, United States

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    United States

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    United States

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    Sunnyvale, California, United States

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    United States

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    Pakistan

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    Lahore, Pakistan

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    Lahore, Pakistan

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    Lahore, Pakistan

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    Lahore, Pakistan

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    Lahore, Pakistan

Education

  • Graphic

    4.0

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    Master Thesis:

    DeepWiN: Deep Graph Reinforcement learning for User-centric Radio Access Networks Automation

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    Activities and Societies: Debating Society Institute of Electrical and Engineering Engineers Women in Engineering Industry Applications Society

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    MEXT SCHOLAR, Government of JAPAN (Discontinued in favor of graduate school in the USA)

Licenses & Certifications

Publications

  • iPREDICT: AI enabled proactive pandemic prediction using biosensing wearable devices

    Elsevier

    We propose a novel Artificial Intelligence (AI)-based pandemic prediction framework called iPREDICT—a concept framework designed to leverage the power of AI and crowd-sensed data for accurate and timely pandemic prediction. The core idea of iPREDICT is to leverage the deluge of data that can be harnessed from connected and wearable biosensing devices. iPREDICT system then works by monitoring anomalies in the biomarkers at the individual level and correlating them with similar anomalies observed…

    We propose a novel Artificial Intelligence (AI)-based pandemic prediction framework called iPREDICT—a concept framework designed to leverage the power of AI and crowd-sensed data for accurate and timely pandemic prediction. The core idea of iPREDICT is to leverage the deluge of data that can be harnessed from connected and wearable biosensing devices. iPREDICT system then works by monitoring anomalies in the biomarkers at the individual level and correlating them with similar anomalies observed in other members of the community. Using AI-based anomaly detection in conjunction with analysis of the spatiotemporal growth of the correlated anomalies, iPREDICT thus can potentially detect and monitor the emergence of a local outbreak in near real-time to predict a potential pandemic.

    However, not every outbreak has the potential to become a pandemic. We illustrate how tools like graph neural networks can be leveraged to determine optimal thresholds as a function of a large number of demographical, social, and geographical factors that determine the spatiotemporal spread of an outbreak, thus quantifying the risk of it becoming an epidemic or pandemic.

    Other authors
    See publication

Honors & Awards

  • Google Generation Scholarship

    Google

    https://buildyourfuture.withgoogle.com/scholarships/generation-google-scholarship

  • 2nd position, All Pakistan DICE Innovation Project Exhibition

    DICE-Information & Enabling Technologies (IET) Innovation

    Contested with 50 innovative projects from universities around Pakistan.

  • Women in Engineering, International Leadership Conference Volunteer Grant - United States

    Women in Engineering Society, Institute of Electrical and Electronics Engineers

    WIE ILC is the premium event of Women in Engineering society which hosts female leaders from around the globe to share ideas. In 2018, I was awarded a travel grant of $1000 to attend the event as IEEE Lahore representative in Texas.

  • 1st position, IEEE International Humanitarian Project Contest

    Institute of Electrical and Electronics Engineers

    I organized a team of volunteers to carry out STEM outreach program at underprivileged government schools. This initiative stood 1st in Asia, among 80+ projects. The project was awarded:
     $1500 project funding
     $1000 travel grant to sponsor my presentation at IAS annual meeting, Ohio, USA

  • IEEE IAS, Women in Engineering Travel Grant - South Korea

    Institute of Electrical and Electronics Engineers

    500 Female researchers, students and professionals from Region 10 (Asia and Middle East) contested for IEEE IAS Women in Engineering Travel Grant, 2017. l was one of the only two women from Pakistan who were awarded a grant of $1200 to attend one IEEE international conference anywhere around the globe. I attended the Engineering in Medicine and Biology Society Conference in Jeju Island, South Korea. This conference hosted representatives from 60+ countries.

  • Semi-finalist, Pakistan Vision 2025 Debate

    Ministry of Planning Development and Reforms, Pakistan

    This national-level parliamentary debate was organized in Islamabad and was sponsored by Ministry of Planning, Development and Reforms, Pakistan. After successfully competing with 32 teams from across the nation, I represented UET in the semi-finals against LUMS.

Test Scores

  • IELTS : International English Language Testing System

    Score: 8

  • Graduate Record Examination (GRE)

    Score: 326

    Quant: 165
    Verbal: 161

Languages

  • English

    Full professional proficiency

Organizations

  • Institute of Electrical and Electronics Engineers

    International Member

    - Present

    https://ieee-collabratec.ieee.org/rest/api/membership/certificate

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