Ali Athar

Email: ali.athar1401@gmail (dot) com | ali.athar14@ce.ceme (dot)edu (dot)pk

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Nice to Meet You

I am Ali Athar, a dedicated Ph.D. candidate at Inje University, South Korea, specializing in Artificial Intelligence for healthcare applications. My research focuses on leveraging cutting-edge AI techniques, such as multi-modal transformers, self-supervised learning, vision transformers, and LLMs, to address complex challenges in medical imaging.

I hold an M.S. in Computer Software Engineering from the National University of Sciences and Technology (NUST), Pakistan, and a B.S. in Software Engineering from Government College University, Faisalabad. With a strong academic background and hands-on experience, my work bridges the gap between advanced AI research and real-world healthcare solutions.

Currently, I am involved in different AI-driven projects in collaboration with top companies across South Korea, which gives me access to diverse datasets, including textual data, medical images, and manufacturing datasets. My team focuses on developing robust models for radiology images, cancer diagnosis, and prognosis by incorporating foundation models, self-supervised learning, and weakly supervised learning to analyze large-scale, minimally labeled datasets effectively.

Beyond research, I actively contribute as a reviewer for high-impact journals and conferences under ACL, IEEE, and Elsevier.

My expertise spans:

Artificial Intelligence and Machine Learning
NLP, LLMs and Vision Transformers
Medical Imaging and Computer Vision
Radiology Image Analysis
Self-supervised and Weakly Supervised Learning

Feel free to explore my research, publications, and contributions to the field of AI in healthcare.

Current Research Project

Leveraging multi-modal transformers for enhanced radiology report automation

Education

PhD, Inje University South Korea March 2021– May 2025

Major: Artificial Intelligence in Healthcare

CGPA: 4.46 / 4.5

MS Computer Software Engineering, National University of Science and Technology (NUST) Pakistan August 2014–Sep 2017

Major: Machine Learning and Natural Language Processing (NLP)

Cumulative GPA: 3.20 / 4.0

Bachelor of Science (BS), Govt College University Faisalabad (GCUF) , Pakistan Aug 2009– June 2013

Major: Software Engineering

Cumulative GPA: 2.77 / 4.0

Work Experience

Postdoc Fellow at Catholic University of Korea, Seoul St. Mary's Hospital , South Korea. March 2025 – Present

Postdoctoral Research Fellow at the Catholic University of Korea, specializing in radiology image analysis and AI-driven medical imaging research. Collaborating closely with hospital doctors to develop and validate diagnostic tools for clinical application. Focused on machine learning, image processing, and translational research in medical imaging.

Research Associate at Smart Computing Laboratory, Inje University March 2021 – March 2025

AI Research Assistant: I work on various datasets, such as Textual, image, sensor, and manufacturing data, using state-of-the-art AI algorithms.

Lecturer at COMSATS Institute of Information Technology Islamabad (Attock Campus), Pakistan. Aug 2019- Feb 2021

Taught undergraduate students in Computer Science, covering topics including Machine Learning, Software Engineering, Software Project Management, and other core computer science subjects.
Assessed student performance and managed grades, ensuring accuracy and timely feedback.
Utilized innovative teaching methodologies to engage students and support their academic development.

Lecturer at the University of Central Punjab (UCP) , Pakistan. June 2018- July 2019

Delivered lectures on Software Engineering, Object-Oriented Programming (OOP), Software Project Management (SPM), and Artificial Intelligence to Bachelor of Science students.
Facilitated student understanding of project management principles, preparing them for industry challenges.

Data Scientist at Data Games, Lahore, Pakistan. March 2017-May 2018

Developed and optimized Machine Learning for predictive analytics and Classification tasks, specifically in game development.

Languages, Frameworks, Libraries, Software Tools

Python
Sklearn
Keras
TensorFlow
Pytorch
Langchain
ChromaDB
Scipy
CUDA
Numpy
Pandas
Matplotlib
Seaborn
Visual Studio Code
Jupyter Notebook

Publications

Ali Athar, Ali Hussain, Sikandar Ali,Hee-Cheol Kim.
DINO-RadCXR: Enhancing Radiology Report Generation with Self-Supervised Multimodal Learning.
(Submitted ) 28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2025) South Korea.
Ali Athar, Md Ariful Islam, Sikandar Ali, Hee-Cheol Kim.
Deep learning-based anomaly detection using one-dimensional convolutional neural networks (1D CNN) in machine centers (MCT) and computer numerical control (CNC) machines.
PeerJ Computer Science, 2024, PeerJ Inc., Q1, Impact Factor 3.8.
Muhammad Yaseen, Maisam Ali, Sikander Ali, Ali Hussain, Ali Athar, Hee-Cheol Kim.
Deep Learning Based Cervical Spine Bones Detection: A Case Study Using YOLO.
2024 26th International Conference on Advanced Communications Technology (ICACT), May 2024, IEEE.
Kounen Fathima, Ali Athar, Hee-Cheol Kim.
Multi-Class Document Classification using LayoutLMv1 and V2.
2024 26th International Conference on Advanced Communications Technology (ICACT), 2024, IEEE.
Dayal Aakansha ,Kounen Fathiima , Ali Athar, Hee-Cheol Kim.
Basic Application and Methodologies Used for Sentiment Analysis: A Survey.
(Accepted) The Proceedings of 20th World Congress of the International Fuzzy Systems Association (IFSA 2023), South Korea.
Sikandar Ali, Subrata Bhattacharjee, Ali Athar, Hee-Cheol Kim.
Detection of COVID-19 in x-ray images using densely connected squeeze convolutional neural network (dcscnn): focusing on interpretability and explainability of the black box model.
Sensors, December 2022, MDPI, Impact Factor 3.4.
Ali Hussain, Ali Athar, Tagne Poupi Theodore, Md Ariful Islam Mozumder, Hee-Cheol Kim.
Metaverse in Manufacturing Using Emerging Technologies: An Overview For The Smart Industry 4.0.
2023 International Conference on Intelligent Metaverse Technologies & Applications (iMETA), June 2023, IEEE.
Ali Athar, Md Ariful Islam Mozumder, Kounen Fathima, Ali Hussain, Sikandar Ali, Hee-Cheol Kim.
Anxiety and Depression Detection and Rehabilitation in the Metaverse: A BERT-Based Recommendation System.
2023 International Conference on Intelligent Metaverse Technologies & Applications (iMETA), May 2023, IEEE.
Ali Athar, Shah Mahsoom Ali, Md Ariful Islam Mozumder, Sikandar Ali, Hee-Cheol Kim.
Applications and possible challenges of healthcare metaverse.
2023 25th International Conference on Advanced Communication Technology (ICACT), 2023, IEEE.
Shah Mahsoom Ali, Satyabrata Aich, Ali Athar, Hee-Cheol Kim.
Medical education, training and treatment using XR in healthcare.
2023 25th International Conference on Advanced Communication Technology (ICACT), 2023, IEEE.
Md Ariful Islam Mozumder, Ali Athar, Tagne Poupi Theodore, Muhammad Mohsan Sheeraz, Shah Muhammad Imtiyaj Uddin, Hee-Cheol Kim.
Technological roadmap of the future trend of metaverse based on IoT, blockchain, and AI techniques in metaverse education.
2023 25th International Conference on Advanced Communication Technology (ICACT), 2023, IEEE.
Md Ariful Islam Mozumder, Tagne Poupi Theodore, Ali Athar, Hee-Cheol Kim.
The metaverse applications for the finance industry, its challenges, and an approach for the metaverse finance industry.
2023 25th International Conference on Advanced Communication Technology (ICACT), 2023, IEEE.
Sikandar Ali, Maisam Ali, Ali Hussain, Ali Athar, Hee-Cheol Kim.
Computer vision-based military tank recognition using object detection technique: An application of the YOLO framework.
2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC), June 2023, IEEE.
Md Ariful Islam Mozumder, Rashedul Islam Sumon, Shah Muhammad Imtiyaj Uddin, Ali Athar, Hee-Cheol Kim.
The metaverse for intelligent healthcare using XAI, blockchain, and immersive technology.
2023 IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom), 2023, IEEE.
Md Ariful Islam Mozumder, Tagne Poupi Theodore, Shah Muhammad Imtiyaj Uddin, Ali Athar, Hee-Cheol Kim.
Metaverse for digital anti-aging healthcare: an overview of potential use cases based on artificial intelligence, blockchain, IoT technologies, its challenges, and future directions.
Applied Sciences, August 2023, MDPI, Impact Factor 2.5.
Sikandar Ali, Abdullah, Tagne Poupi Theodore Armand, Ali Athar, Ali Hussain, Maisam Ali, Muhammad Yaseen, Moon-Il Joo, Hee-Cheol Kim.
Metaverse in healthcare integrated with explainable AI and blockchain: enabling immersiveness, ensuring trust, and providing patient data security.
Sensors, April 2023, MDPI, Impact Factor 3.4.
Md Ariful Islam Mozumder, Muhammad Mohsan Sheeraz, Ali Athar, Satyabrata Aich, Hee-Cheol Kim.
Overview: Technology roadmap of the future trend of metaverse based on IoT, blockchain, AI technique, and medical domain metaverse activity.
2022 24th International Conference on Advanced Communication Technology (ICACT), 2022, IEEE.
Abdullah, Sikandar Ali, Ziaullah Khan, Ali Athar, Ali Hussain, Hee-Cheol Kim.
Computer vision-based deep learning approach for the detection and classification of algae species using microscopic images.
Water, July 2022, MDPI, Impact Factor 3.0.
Ali Athar, Sikandar Ali, Muhammad Mohsan Sheeraz, Subrata Bhattacharjee, Hee-Cheol Kim.
Sentimental analysis of movie reviews using soft voting ensemble-based machine learning.
2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS), May 2021, IEEE.
Muhammad Mohsan Sheeraz, Ali Athar, Ali Hussain, Satyabrata Aich, Moon-Il Joo, Hee-Cheol Kim.
Blockchain, AI & IoT-based COVID-19 contact tracing and distancing framework.
2021 International Conference on Robotics and Automation in Industry (ICRAI), June 2021, IEEE.
Ali Athar, Wasi Haider Butt, Muhammad Waseem Anwar, Muhammad Latif, Farooque Azam.
Exploring the ensemble of classifiers for sentimental analysis: A systematic literature review.
Proceedings of the 9th International Conference on Machine Learning and Computing, 2017.
Muzamal Liaqat, Ali Athar, Farooque Azam.
A Comparative Analysis of Software Architecture Evaluation Methods.
J. Softw., September 2016.
Muhammad Saqlain, Ali Athar, Muazzam A. Khan, Nazar A. Saqib.
Developing a classification model for an effective treatment of heart failure.
International Journal of Computer Science and Information Security (IJCSIS), 2016.
Sadia Sadaf, Ali Athar, Farooque Azam.
Evaluation of FED-CASE-A Tool to Convert Class Diagram into Structural Coding.
2016 International Symposium on Computer, Consumer and Control (IS3C), 2016, IEEE.
Rao Muzamal Liaqat, Ali Athar, Nazar Abbas Saqib.
Intelligent agent-based system for monitoring and control of hospital management system.
2015 2nd International Conference on Information Science and Security (ICISS), May 2015, IEEE.

Honors & Awards

March 2019- Present | Brain Korea (BK21) Scholarship from the Government of South Korea.
Full travel grant from BK21 and University research fund project to attend an international conference from South Korea to Tartu, Estonia (i-META 203)
Academic Excellence Scholarship for excellent grades from Inje University, South Korea (2021, 2022)
Full travel grant from Inje University research fund for all the attended local conferences and Research meetings within South Korea (2021, 2022, 2023, 2024)
Certificates for reviewing research papers from different Journals i.e., ACL, IEEE, and Elsevier
Received an Honorary passport by the United Nations (UN) to recognize my volunteer work in South Korea.

Leadership

Student Mentor for International Student
- Provide mentorship and guidance to international students at Inje University in South Korea.
- Helping and guiding freshers.
Vice-President of Pakistani students’ community at Inje University
- Organizing events for students, seminars, and outdoor activities for students of Pakistan Community.
- Helping and guiding freshers.

Online Courses

Multimodal RAG: Chat with Video by Deep Learning.AI in July 2024.
Generative AI Skills for Creative Content: Opportunities, Issues, and Ethics by LinkedIn.
Natural Language Processing: NLP With Transformers in Python by James Briggs on Udemy.
Natural Language Processing with Python by Jose Portilla on Udemy on 19th April 2023.
First Step Korean by Yonsei University Seoul, South Korea, in June 2021.
Data Mining with WEKA by the University of Waikato, New Zealand.
Academic Integrity by the University of Auckland, New Zealand.

Certifications

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