Baharak Ahmaderaghi

Baharak Ahmaderaghi

Dr

  • Room 03.006 - PGJCCR

    United Kingdom

Accepting PhD Students

20132022

Research activity per year

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Personal profile

Achievements

Baharak is Computer Vision, Artificial Intelligence (AI) and Machine Learning (ML) expert. She is currently a lecturer (Education) at EEECS. She has obtained her PhD in Computer science from Queen’s university Belfast, MSc degree in Computer Engineering from Eastern Mediterranean University, Northern Cyprus, and BEng degree in Computer Engineering from Azad University, Iran. Prior to the current position, she had worked in both academic (as PostDoc) and industrial (as Software engineer and CEO of her Start-up Company) environments. In addition, Baharak is actively support women in Engineering and STEM. She delivered a workshop as a part of GirlsWhoML program to support members of under-represented gender groups (e.g. identifying female or non-binary) in order to familiarise them with machine learning concepts and skills.  The workshop was developed by the university of Oxford and has been suported by Microsoft. She been involved in open days and PhD induction events at Queen's, been actively involved as the member of public engagement committee for Patrick G Johnston Centre for Cancer Research and Internationalization Committee for the EEECS and been president of the International Student Society at Queen’s University Belfast.

Teaching

Deep Learning (CSC3066)

Video Analytics and Machine Learning (CSC3067)

Introduction to Artificial Intelligence Using Python (LINAS)

Introduction to Machine Learning Using R (NUI-Galway)

Database & Programming Fundamentals (DSA8002)

Research Focus

Applying Machine learning models in education in order to improve students learning outcome.
Developing data integration and analytical platform for bioinformatic interrogation of data related to animal models for cancer diseases.
Developing new AI-based algorithm and applying them into both Clinical and Animal model datasets across different cancer's molecular subtypes for classification.
Image processing.
Fuzzy logic.

Particulars

Computer science Stage 3 coordinator and National student survey (NSS) Champion for EEECS.

 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 2 - Zero Hunger
  • SDG 3 - Good Health and Well-being
  • SDG 4 - Quality Education
  • SDG 5 - Gender Equality
  • SDG 13 - Climate Action

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