CV

The brief resume.

General information

Name Dr Youssef Al Hariri
Email yalhariri@ed.ac.uk
Url https://yalhariri.github.io/
Summary A postdoctoral research fellow at the University of Edinburgh.

Work

  • 2024.08 - Present
        Postdoctoral Research Associate (PDRA)
        School of Informactics, University of Edinburgh
    Project: Finding Adversary Narratives: Topic and Momentum (FANToM). To extend the features of the proposed tool to combine further state-of-the-art AI techniques to model and analyse the narratives of user interactions.
    • Computational Social Science
    • Data Science
    • NLP
  • 2024.02 - 2024.08
        University Teacher
        School of Informactics, University of Edinburgh
    Prepared and delivered course material for the Text Technologies for Data Science (TTDS) course to MSc and UG students
    • Text Technologies for Data Science
    • Data Science
  • 2022.08 - 2024.02
        Postdoctoral Research Associate (PDRA)
        School of Informactics, University of Edinburgh
    Project 1: Modelling Audience Interactions. Developed a user-friendly tool that combines AI techniques for narrative analysis of user interactions. Project 2: We conducted a comparative analysis of human-generated Twitter data with large datasets for sensitive topic responses.
    • Computational Social Science
    • Data Science
    • NLP
  • 2022.01 - 2022.08
        Research Fellow
        School of Social & Political Science, University of Edinburgh
    Project: Telling Good Stories. We collected and analysed tweets about compassion and support during the COVID-19 pandemic and compared this social media content with long-term historical published data.
    • Computational Social Science
    • Twitter
    • Data analysis
    • Data Science
    • NLP
  • 2020.01 - 2021.11
        Research Assistant
        School of Informactics, University of Edinburgh
    I worked on the Digital Influence & Intelligence Lab (DIIL) and Huawei Social Media Perception projects.
    • Computational Social Science
    • Twitter
    • Data analysis
    • Data Science
    • NLP
  • 2018.09 - 2022.08
        Teaching Assistant
        School of Informactics, University of Edinburgh
    Co-supervised postgraduate students and assisted in teaching multiple courses, including Text Technologies for Data Science, Accelerated Natural Language Processing (ANLP), and Introduction to Java Programming.
    • Teaching
    • Supervision
    • Teaching Assistant
    • Lab demonstration

Education

  • 2018.08 - 2022.11

    Edinburgh, UK

    PhD
    University of Edinburgh, Edinburgh, UK
    Informatics
  • 2017.09 - 2018.08

    Edinburgh, UK

    MSc
    University of Edinburgh, Edinburgh, UK
    AI
  • 2012.09 - 2017.07

    Doha, Qatar

    BSc (Hons)
    Qatar University, Doha, Qatar
    Computer Engineering

Publications

Skills

Data Analysis
Big data collection and mining
Quantitative and Qualitative analysis
Data Visualization
Plotly
Matplotlib
Seaborn
Gephi
Information Retrieval and Management
Data scrapping
API development
Apache Solr
MongoDB
Social Network Analysis and Visualisations
Networks analysis
Network visualization
Community detection
Gephi
NetworkX
Software Development
Backend development
Frontend development
React JS
Node JS
Python

Languages

Arabic
Native speaker
English
Fluent

Interests

Data Science
Text Technologies
NLP

References

Dr Walid Magdy
Reader at the School of Informatics, the University of Edinburgh, UK.
Dr Bjorn Ross
Lecturer in Computational Social Science, the University of Edinburgh, UK.
Dr Maria Wolters
Research Group Lead, Social Computing, OFFIS Institute for Informatics, Germany.
Dr Tamer Elsayed
Associate Professor at Qatar University, Qatar.

Projects

  • 2023.09 - 2024.03
    Modelling Audience Interactions on Social Media
    To develop an AI system that collects, stores, processes, and analyzes various social media contents. Also, to utilize the developed tool in computational social science studies.
    • Social media
    • Data analysis
  • 2022.01 - 2022.08
    Telling Good Stories
    Collect, store, process, and analyze tweets relevant to narratives of compassion and support during challenging times such as the Covid-19 pandemic.
    • Social media
    • Data analysis
  • 2021.03 - 2021.11
    DIIL
    Build a scalable online social media analysis platform for monitoring public opinion over topics of interest, e.g., Brexit, Scottish referendum, and Covid-19 pandemic.
    • Social media
    • Data analysis
  • 2020.08 - 2021.03
    Huawei
    To build an internal platform to monitor the public reviews on Huawei's products online.
    • Social media
    • Data analysis
  • 2020.01 - 2020.08
    Yemen Crisis, UN
    Build a platform for collecting tweets about and from Yemen in Arabic to identify the locations and groups that are the most in-need so that the UN can provide immediate help.
    • Social media
    • Data analysis
    • Social media for good
    • crisis management