I am a final year student in MEng Electrical and Electronics Engineering at Imperial College London. I am passionate about Machine Learning and Data Science. I have worked on the applications of Machine Learning in the context of Health care and the privacy of sensory data. I am looking for a job that can challenge me every day. I would love to be surrounded by knowledgeable and experienced individuals that can help me grow both professionally and personally.
Recent Experience
Privacy Preserving Machine Learning Research at Imperial College London
I am working as part of the Undergraduate Research Opportunities Program (UROP) at the Information Processing and Communications Lab at Imperial College London.
Privacy-Aware Sharing in Smart Grids (canceled) In the new generation electricity supply networks, smart meters play a key role in recording the electricity consumption of a household by reporting it to the utility provider in real-time. However, this real-time information also carries sensitive personal information about the user’s activities.
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Content Creator Intern at ARM
During my 12 weeks internship, I was a content creator intern in the Arm University Program. I worked on revamping one of the educational kits, Rapid Embedded Design and Programming Online Course, under the supervision of my line manager.
The Rapid Embedded Design and Programming Online Course is a 10/14 weeks university course. It aims to help the student develop their skills of using high-level programming tools and languages to rapidly design and program ARM-based embedded systems and prototype them for various applications.
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Recent Projects
Adversarial Privacy for Activity Monitoring
With the advance of smartphones, wearables devices, and other Internet of Things devices, there is a variety of sensors that are generating time-series measurements of your daily activity. These sensors allow the emergence of new services that are beneficial to several areas including health monitoring, safety, and productivity. While cameras, microphones, and the location are preserved as privacy-sensitive, the privacy implication of activity recognition sensors is still underestimated. In fact, the detailed time-series user data shared with untrusted third parties could be used to infer private and sensitive information user information (e.
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Clinical Decision Support System for COVID-19 patients management
Everybody has head about COVID The first case of COVID-19 was detected in Wuhan, China, on December 31st, 2019. Soon after, the WHO has characterized this viral disease as a global pandemic. Many governments have imposed a lockdown to protect the NHS from being overwhelmed and limit the spread of the disease. Since then, the COVID-19 has seriously impacted businesses and the economy. It also has been had serious implications for people’s livelihoods and health.
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All Skills
data-pipeline
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data-privacy
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data-processing
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gan
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machine-learning
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All Skills