Updates Publications Education Teaching Team Project Contact
Tahir Mahmood

Tahir Mahmood

Assistant Professor
Division of Electronics & Electrical Engineering, Dongguk University

Welcome! I am an Assistant Professor at Dongguk University, Seoul, South Korea. Before joining Dongguk, I worked as a Machine Learning Engineer at AirFi in Barcelona, Spain, and as a Lecturer at Superior University in Lahore, Pakistan. My research bridges Agentic AI, multimodal reasoning, and trustworthy machine intelligence, with applications in computational pathology, gastrointestinal image analysis, and robot-assisted surgery — where intelligent systems can meaningfully advance clinical outcomes.

Recent Updates

Feb 16, 2026
ServiceJoined the Advanced Multidisciplinary Engineering Journal (AMEJ) as Editorial Board Member.
2025
Paper"A lightweight hierarchical feature fusion network for surgical instrument segmentation" accepted in Information Fusion.
2024
Paper"A novel convolution transformer-based network for histopathology-image classification" accepted in Engineering Applications of Artificial Intelligence.

Publications

30
Total
10
First Author
20
Co-author
2025
1
Tahir Mahmood, Ganbayar Batchuluun, Seung Gu Kim, Jung Soo Kim, Kang Ryoung Park
"A lightweight hierarchical feature fusion network for surgical instrument segmentation in internet of medical things."
Information Fusion, 2025.
Link ↗
2
Faiqa Maqsood, Zhenfei Wang, Muhammad Mumtaz Ali, Baozhi Qiu, Tahir Mahmood, Raheem Sarwar
"An efficient enhanced feature framework for grading of renal cell carcinoma using histopathological images."
Applied Intelligence, 2025.
2024
1
Tahir Mahmood, Zeeshan Ullah, Atif Latif, Binish Arif Sultan, et al.
"Computer-Aided Diagnosis in Spontaneous Abortion: A Histopathology Dataset and Benchmark for Products of Conception."
Diagnostics, 2024.
Link ↗
2
Tahir Mahmood, Abdul Wahid, Jin Seong Hong, Seung Gu Kim, Kang Ryoung Park
"A novel convolution transformer-based network for histopathology-image classification using adaptive convolution and dynamic attention."
Engineering Applications of Artificial Intelligence, 2024.
3
Abdul Wahid, Tahir Mahmood, Jin Seong Hong, Seung Gu Kim, et al.
"Multi-path residual attention network for cancer diagnosis robust to limited hyperspectral pathological training data."
Engineering Applications of Artificial Intelligence, 2024.
4
Muhammad Zubair et al., Tahir Mahmood
"Enhanced gastric cancer classification and quantification interpretable framework using digital histopathology images."
Scientific Reports, 2024.
2023
1
Tahir Mahmood, Jin Seong Hong, Nadeem Ullah, Sung Jae Lee, Abdul Wahid, Kang Ryoung Park
"CFFR-Net: A channel-wise features fusion and recalibration network for surgical instruments segmentation."
Engineering Applications of Artificial Intelligence, 2023.
2
Tahir Mahmood, Jiho Choi, Kang Ryoung Park
"Artificial intelligence-based classification of pollen grains using attention-guided pollen features aggregation network."
Journal of King Saud University – Computer and Information Sciences, 2023.
2022
1
Tahir Mahmood, Se Woon Cho, Kang Ryoung Park
"DSRD-Net: Dual-stream residual dense network for semantic segmentation of instruments in robot-assisted surgery."
Expert Systems with Applications, 2022.
2
Tahir Mahmood, Seung Gu Kim, Ja Hyung Koo, Kang Ryoung Park
"Artificial intelligence-based tissue phenotyping in colorectal cancer histopathology using visual and semantic features aggregation."
Mathematics, 2022.
2021
1
Tahir Mahmood, Muhammad Owais, Kyoung Jun Noh, et al.
"Accurate segmentation of nuclear regions with multi-organ histopathology images using artificial intelligence."
Journal of Personalized Medicine, 2021.
2020
1
Tahir Mahmood, Muhammad Arsalan, Muhammad Owais, Min Beom Lee, Kang Ryoung Park
"Artificial intelligence-based mitosis detection in breast cancer histopathology images."
Journal of Clinical Medicine, 2020.

Full list on Google Scholar ↗

Education

2019.03 – 2023.02
Ph.D. in Engineering
Dongguk University, Seoul, South Korea
2013.09 – 2015.08
M.S. in Computer Science
COMSATS University, Islamabad, Pakistan
2009.09 – 2013.08
B.S. in Computer Science
COMSATS University, Islamabad, Pakistan

Teaching

2024 Undergraduate
Introduction to Artificial Intelligence
Dongguk University
Fundamental concepts of AI including search, knowledge representation, machine learning, and neural networks.
2024 Graduate
Deep Learning for Medical Image Analysis
Dongguk University
Advanced deep learning techniques applied to medical imaging tasks including segmentation, classification, and detection.

Team

Research Collaborators
DK
Dr. Kang Ryoung Park
Host Professor and Research Advisor
Computer Vision, Biometrics
Professor at Dongguk University, Seoul, Korea. Long-term research collaborator in computer vision and biometric systems.
✉ Email🔗 Profile
Ph.D. Students
PS
PhD Student 1
Ph.D. Student
Computational Pathology
Working on deep learning methods for histopathology image analysis.
M.S. Students
MS
MS Student 1
M.S. Student
Medical Image Segmentation
Research focused on segmentation of medical images using transformer-based architectures.

Current Project

🔬
Agentic AI · Medical Imaging
Agentic AI for Autonomous and Interpretable Colorectal Polyp Segmentation

This project develops intelligent agentic AI systems capable of autonomously reasoning over colonoscopy images to detect and precisely segment colorectal polyps. Our goal is to build interpretable, clinically trustworthy pipelines that support gastroenterologists in early cancer screening and intervention.

Contact

Affiliation

Division of Electronics and Electrical Engineering
Dongguk University
Seoul
South Korea

Email

tahirmahmood@dongguk.edu

Links

Google Scholar · GitHub · Kaggle · LinkedIn

Prospective Students

I am looking for motivated graduate students interested in computational pathology, surgical AI, and multimodal deep learning. If you are interested in joining my group, please send your CV and a brief research statement to my email.