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Yasmin Fathy

Research Associate

University of Cambridge

Biography

Yasmin Fathy is a Research Associate in IoT and Machine Learning at the University of Cambridge. Before joining Cambridge, she was KTP Research Associate in Data Science and Machine Learning at UCL, Computer Science department.

She obtained her PhD in Electrical and Electronic Engineering from the Institute for Communication Systems (ICS) at the University of Surrey and MSc in Applied Science and Engineering from Vrije Universiteit Brussel (VUB) in Belgium.

Interests

  • Internet of Things (IoT)
  • Data Analytics
  • Machine Learning

Education

  • PhD in Electrical and Electronic Engineering, 2018

    University of Surrey, UK

  • Graduate Certificate in Learning and Teaching (GCLT), 2018

    University of Surrey, UK

  • MSc in Applied Science and Engineering (Distinction), 2014

    Vrije Universiteit Brussel (VUB), Belgium

  • BSc in Computer Science (Distinction with Honor), 2009

    Helwan University, Egypt

Experience

 
 
 
 
 

Research Associate in IoT and Machine Learning

University of Cambridge

Sep 2019 – Present UK
Responsibilities include:

  • Using AI/ML techniques for improving quality of production in industrial operations and manufacturing systems.
  • Measuring and evaluating the effectiveness of developed approaches in a real (industrial) environment.
 
 
 
 
 

KTP Research Associate in Data Science and Machine Learning

University College London (UCL)

May 2018 – Aug 2019 UK
Using Data Science and Machine Learning techniques to support recruitment process, particularly in identifying the best candidate applications for a given role or the best role for a given candidate, thereby embedding significant capabilities in the business for future growth.
 
 
 
 
 

Software Engineer

ITWorx, Education Department

May 2010 – Sep 2012 Egypt
Responsibilities include:

  • Developing Sharepoint web parts.
  • Designing relational database schemes and complex queries.
  • Designing and implementing (Silverlight/javascript)-based approaches on Connected Learning Gateway (CLG) platform. CLG is an engaging and multilingual social learning platform.
  • Supporting issues for different projects.
  • Developing Sharepoint migration tool ( i.e. migrating site structure from Sharepoint 2007 to 2010).

Teaching

 
 
 
 
 

Main Supervision

MPhil in Industrial Systems, Manufacture and Management, University of Cambridge

Jan 2020 – May 2020 UK
Student(s):

  • Nikolas Hoehme “Collaborative Analytics Framework for Manufacturing Applications”
 
 
 
 
 

Co-supervision

MSc in Data Science and Machine Learning, University College London (UCL)

May 2019 – Aug 2019 UK
Student(s):

  • Ellisya Hanafiah “Analysis of the Bipartite Network of Recruitment Records”
 
 
 
 
 

Laboratory Demonstrator

University of Surrey

Jan 2015 – Jan 2018 UK
Taught courses:

  • COM2028: Artificial Intelligence.
  • COM3024: Collective Intelligence.
  • EEE3013: Object Oriented Design.
  • EEE2036: Team Working.
  • EEE3035: Leadership.
  • EEE1033: Computer and Digital Logic
 
 
 
 
 

Teaching Assistant

Helwan University

Dec 2010 – Sep 2012 Egypt
Taught courses:

  • Concepts of Programming Language.
  • Operating System.
  • Probability and Statistics I.
  • Image Processing.
  • Software Engineering.

Recent Publications

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Best Practices for Publishing, Retrieving, and Using Spatial Data on the Web

Quality-based and Energy-efficient Data Communication for the Internet of Things Networks

Searching for Internet-of-Things Resources: Requirements and Outlook

A Novel Indexing Method for Scalable IoT Source Lookup

An Adaptive Method for Data Reduction in the Internet of Things

See all publications