Ali Feizollah

Ali Feizollah

Dr

Personal profile

Overview

I am a Research Associate at the Division of Dentistry, University of Manchester. I am currently working on DELIVER (DELiberative ImproVEment of oRal care quality), a multinational project funded by the EU’s Horizon Europe program. The project aims to develop the DELIVER Quality Improvement Model, a blueprint for enhancing the quality of oral health care across Europe through a co-creative, mixed-methods approach involving citizens, providers, payers, and policymakers.

As part of this project, my work focuses on applying machine learning to unstructured dental patient feedback to better understand patient experiences and support service improvements in clinical settings.

I hold a PhD in Computer Science with a focus on Android malware detection using machine learning. Over the years, my research has evolved from mobile security to applied and clinical machine learning, with a strong emphasis on natural language processing (NLP). My previous postdoctoral work centered on analysing social media data, where I investigated online user behaviour, sentiment, and discourse using advanced NLP techniques.

My broader interests lie at the intersection of machine learning, natural language processing, and healthcare informatics. I have published extensively in high-impact, peer-reviewed journals, including several ISI Q1-ranked publications in areas such as healthcare analytics, social media mining, and mobile security. I am always open to interdisciplinary collaboration and eager to contribute to projects that bridge machine learning, text analytics, and real-world applications.

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 8 - Decent Work and Economic Growth
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 16 - Peace, Justice and Strong Institutions

Education/Academic qualification

Doctor of Science, Computer Science, University Of Malaya

Award Date: 30 Dec 2017

Master of Computing, Network Security, University Of Malaya

Award Date: 30 Sept 2013

Bachelor of Science, Information System, Ajman University College of Science & Technology

Award Date: 1 Dec 2009

Areas of expertise

  • QA75 Electronic computers. Computer science

Keywords

  • machine learning
  • Natural Language Processing
  • Health Data Science
  • Android Security

Fingerprint

Dive into the research topics where Ali Feizollah is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or