Personal profile

Overview

PhD Student in Health Informatics

School of Health Sciences | Faculty of Biology, Medicine and Health
Division of Nursing Medicine and Social Work
University of Manchester
Member of the Healthy Ageing Research Group (HARG)

Funding Body: Medical Research Council (MRC)

Project Title: Examining Machine Learning in a digital physical activity intervention to predict and prevent falls in older adults.
Research Focus: To enhance elderly care through the development of advanced fall detection applications using machine learning.

 

Biography

Taqya is currently a Ph.D. student at the University of Manchester, specializing in Health Informatics. Her research focus revolves around leveraging technology to enhance healthcare outcomes, particularly for the elderly population. Her passion lies in using data-driven solutions to promote healthy aging and improve the quality of life for seniors.

Before embarking on her Ph.D. journey, Taqya earned her MSc in Data Science from London South Bank University, graduating with distinction. During her master's studies, she developed a strong foundation in data analysis, machine learning, and statistical modeling. She applied these skills to various projects, including creating the Human Centred Cognitive System (HCCS), Regenerating Images using Generative Algorithms, and predicting mobile phone prices with machine learning algorithms.

Notably, her master's dissertation project, the HCCS, was an industry startup venture that aimed to create a virtual assistant app to support elderly individuals with various health challenges. Taqya's involvement in the HCCS extended beyond the theoretical realm; she played a pivotal role in developing the initial hardware product prototype. Her efforts were instrumental in securing £10,000 in funding for further development, marketing, and, notably, she was offered equity in the product. This highlights her practical skills, entrepreneurial spirit, and her significant stake in the project's success.

Taqya's academic journey began with a Bachelor's in Electronic Engineering from NED University of Engineering & Technology in Karachi, Pakistan. Her coursework included a wide range of technical subjects, from electromagnetic fields to telecommunication networks. This diverse background allows her to bridge the gap between engineering and data science.

 During her second year as an undergraduate, Taqya founded the NED Girls Affairs Society (NGAS) with a passion for empowering women in engineering and technology. Leading NGAS for two years, she cultivated a culture of growth and community engagement. In her final year, she transitioned to an advisory role, allowing new leaders to take charge while maintaining her commitment to NGAS and its mission. This experience reflects her dedication to mentorship, leadership, and promoting inclusivity within the engineering community. Currently, Taqya continues her involvement with NGAS in a voluntary advisory capacity, demonstrating her enduring commitment to its purpose and values.

In addition to her academic achievements, Taqya is an active content creator, sharing her experiences as a Muslim mother, academic, and professional on Instagram. She is dedicated to empowering and educating her audience while upholding her Islamic principles. Taqya's commitment to personal growth, positive impact, and balanced living shines through in her diverse skill set and multifaceted journey.

Qualifications

MSc Data Science (Distinction)

London South Bank University (January 2022-June 2023)

Dissertation

Design and Development of CatCare: A Human Centered Cognitive System for Supporting the Daily Lives of Seniors with Mental and Physical Health Issues

Award: Outstanding Final Year Project

B.Engg Electronic Engineering (UK 2:1 Equivalent)

Nadirshah Edulji Dinshaw University of Engineering and Technology (NEDUET), Karachi

Final Year Project:

Image Processing Continuous Line Drawing Robot ( THE ARTBOT)

 

Research interests

  • Technology for Elderly Healthcare
  • Data-driven Solutions for Healthy Aging
  • Technology Integration in Healthcare
  • Fall Detection Systems
  • Machine Learning in Health
  • Aging Population Health
  • Elderly Health Monitoring
  • Healthcare Data Analysis
  • Digital Health Solutions

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 3 - Good Health and Well-being
  • SDG 5 - Gender Equality
  • SDG 16 - Peace, Justice and Strong Institutions
  • SDG 17 - Partnerships for the Goals

Education/Academic qualification

Master in Science, MSc Data Science, London South Bank University

24 Jan 20225 Jun 2023

Award Date: 29 Jun 2023

Bachelor of Engineering, Electronic Engineering, NED University of Engineering & Technology

11 Oct 201627 Oct 2020

Award Date: 8 Jan 2021

External positions

Research Assistant, London South Bank University

1 Apr 202430 Jun 2023

Student Mentor, London South Bank University

28 Feb 202315 Jun 2023

  • EU Falls Festival - 2024

    Arslan, T. (Poster presenter)

    25 Apr 202426 Apr 2024

    Activity: Participating in or organising event(s)Participating in a conference, workshop, exhibition, performance, inquiry, course etcResearch

  • Digital Health Rewired

    Arslan, T. (Participant)

    12 Mar 2024

    Activity: Participating in or organising event(s)Participating in a conference, workshop, exhibition, performance, inquiry, course etcResearch

  • RCN International Nursing Research Conference 2023

    Arslan, T. (Participant)

    6 Sept 2023

    Activity: Participating in or organising event(s)Participating in a conference, workshop, exhibition, performance, inquiry, course etcResearch