Naeha Sharif

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Naeha Sharif

Dr, She/her, Dr

 https://orcid.org/0000-0001-8351-6288

  • M002, 35 Stirling Highway , CSSE, The University of Western Australia

    6009 Perth

    Australia

  • The University of Western Australia (M017), 35 Stirling Highway,

    6009 Perth

    Australia

Calculated based on number of publications stored in Pure and citations from Scopus

Personal profile

Biography

Dr. Naeha Sharif is a Lecturer at the Department of Computer Science & Software Engineering, UWA, specializing in Computer Vision (CV) and Natural Language Processing (NLP). She completed her PhD in 2021, focusing on a contemporary problem of Artificial Intelligence (AI)- Natural Language description of images. During her doctoral research, Dr. Sharif developed state-of-the-art captioning metrics and models. Her work emphasized the crucial role of linguistic knowledge in enhancing machines' visual understanding. In recognition of her exceptional achievements, she was honoured with the prestigious "ACS 1962 Medal" for the most outstanding PhD in Western Australia in the field of Information Technology and Computer Science. Dr. Sharif's research is published in renowned venues such as the European Conference on Computer Vision (ECCV), the International Journal of Computer Vision (IJCV), the Association of Computational Linguistics (ACL), and the Winter Conference on Applications of Computer Vision (WACV).

Driven by a passion for applying her expertise to real-world challenges, Dr. Sharif's current focus lies in automating preliminary medical assessments. Her research aims to identify high-risk patients in a timely manner, enabling more effective and proactive preventive measures. One of her recent projects involves quantifying Abdominal Aortic Calcification (AAC) in elderly individuals using spine scans obtained through Dual X-ray Absorptiometry (DXA). Furthermore, she is actively involved in developing AI models that can automatically assess and generated medical reports for Fundus Fluorescein Angiography (FFA) Images.

Dr. Sharif welcomes aspiring PhD students with a strong track record and research publications to reach out to her for scholarship opportunities.

Research interests

  • Vision-Language Models
  • Multimodal Learning
  • Automatic Image/Video Decription
  • Captioning/Machine Translation metrics
  • Medical Image Analysis
  • Automatic Medical Report Generation

Teaching overview

Dr. Naeha Sharif served as a Unit Coordinator for the following units:

  1. Computer Graphics & Animation-CITS3003, 2022, 2023
  2. Computational Thinking with Python-CITS1401, 2023

Previous positions

  • Postdoctoral Fellow - Edith Cowan University (2021-2022)

Languages

  • English
  • Urdu

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

Education/Academic qualification

Biomedical Engineering, Master of Engineering, Kyung Hee University

Award Date: 21 Aug 2013

Research expertise keywords

  • deep learning, computer vision, vision-to-language models, evaluation metrics, machine learning, medical image analysis, abdominal aortic calcification

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Collaborations and top research areas from the last five years

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  • 1 Membership of committee
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