I'm

Hussain Ahmad Madni

PostDoc Researcher, Research Developer, Application Developer
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About

About Me

Research & Application Developer

I am interested in addressing data and model heterogeneity challenges in cross-domain learning, with a focus on medical imaging and semantic segmentation. My research centers on advanced deep learning methods for medical image analysis, particularly segmentation and disease classification. Ultimately, I aim to develop robust AI-driven diagnostic tools to support clinical decision-making in healthcare.

Name: Hussain Ahmad Madni
Birthday: 06 October 1990
Degree: PhD
Experience: 7 years
Email: hamadnig@gmail.com
LinkedIn ID: hussain-ahmad
Address: Udine 33100, Italy.

Quality

Education & Expericence

My Education

PhD in Computer Science and Artificial Intelligence

University of Udine, Italy | 2021 - 2024

I am working in Cybersecurity especially in Data and Model Privacy of Machine Learning and Deep Learning environment in cloud.

MS in Computer Science

COMSATS University Islamabad, Pakistan | 2016 - 2018

During master's studies, major subjects include Machine Learning, Image Processing, Data and Network Security. Thesis title, 'Intrusion Detection System using Deep Learning'.

BS in Computer System Engineering

The Islamia University of Bahawalpur, Pakistan | 2010 - 2014

In my bachelor degree, major subjects include Artificial Intelligence, Digital Image Processing, Distributed Computing, Linear Algebra, and Differential Equations. Report title, 'Targeted Malicious Email Detection using Machine Learning techniques'.

My Expericence

Postdoctoral Researcher

Department of Mathematics, Computer Science, and Physics | 2025

I am working in artificial intelligence, particularly rare disease classification task in medical imaging.

Research Developer

Visual Computing Technologies, Islamabad, Pakistan | 2019 - 2021

I worked as a core member of research development team. We worked on classification tasks in Computer Vision and Medical Imaging.

Sr. Software Engineer

SK Technologies, Islamabad, Pakistan | 2018 - 2019

I developed a web application for a chain of restaurants comprising inventory, point of sale, human resource, finance, and attendance module.

Web Developer

Integrated Dynamic Solutions, Rawalpindi, Pakistan | 2015 - 2017

Development of web applications on enterprise level with the customization of management tools including Inventory, Human Resource, Accounts & Finance, Purchase and Sales, and many others.

Research

Publications

Journal Publications

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Unsupervised Brain MRI Anomaly Detection via Inter-Realization Channels

International Journal of Neural Systems, 2025 Hussain Ahmad Madni, Hafsa Shujat, Axel De Nardin, Silvia Zottin and Gian Luca Foresti
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FL-W3S: Cross-domain federated learning for weakly supervised semantic segmentation of white blood cells

International Journal of Medical Informatics, 2025 Hussain Ahmad Madni, Rao Muhammad Umer, Silvia Zottin, Carsten Marr, and Gian Luca Foresti
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Exploiting data diversity in multi-domain federated learning

Machine Learning: Science and Technology, 2024 Hussain Ahmad Madni, Rao Muhammad Umer, and Gian Luca Foresti
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Robust Federated Learning for Heterogeneous Model and Data

International Journal of Neural Systems, 2024 Hussain Ahmad Madni, Rao Muhammad Umer, and Gian Luca Foresti
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Swarm-FHE: Fully Homomorphic Encryption-based Swarm Learning for Malicious Clients

International Journal of Neural Systems, 2023 Hussain Ahmad Madni, Rao Muhammad Umer, and Gian Luca Foresti
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Blockchain-Based Swarm Learning for the Mitigation of Gradient Leakage in Federated Learning

IEEE Access, 2023 Hussain Ahmad Madni, Rao Muhammad Umer, and Gian Luca Foresti
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A Review on Glaucoma Disease Detection Using Computerized Techniques

IEEE Access, 2021 Faizan Abdullah, Rakhshanda Imtiaz, Hussain Ahmad Madni, Haroon Ahmed Khan, Tariq M. Khan, Mohammad A. U. Khan, and Syed Saud Naqvi
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Towards Automated Eye Diagnosis: An Improved Retinal Vessel Segmentation Framework Using Ensemble Block Matching 3D Filter

MDPI Diagnostics, 2021 Khuram Naveed, Faizan Abdullah, Hussain Ahmad Madni, Mohammad A. U. Khan, Tariq M. Khan, and Syed Saud Naqvi
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DAVS-NET: Dense Aggregation Vessel Segmentation Network for retinal vasculature detection in fundus images

PLOS ONE, 2021 Mohsin Raza, Khuram Naveed, Awais Akram, Nema Salem, Amir Afaq, Hussain Ahmad Madni, Mohammad A. U. Khan, and Mui-zzud- din
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CDED-Net: Joint Segmentation of Optic Disc and Optic Cup for Glaucoma Screening

IEEE Access, 2020 Munazza Tabassum, Tariq M. Khan, Muhammad Arsalan, Syed Saud Naqvi, Mansoor Ahmed, Hussain Ahmad Madni, and Jawad Mirza
Publisher's website

Conference Publications

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Federated Learning for Data and Model Heterogeneity in Medical Imaging

International Conference on Image Analysis and Processing (ICIAP), 2023 Hussain Ahmad Madni, Rao Muhammad Umer, and Gian Luca Foresti
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Performance Measurement of Energy Management Controller Using Heuristic Techniques

Complex, Intelligent, and Software Intensive Systems, 2017 Adnan Ahmed, Awais Manzoor, Asif Khan, Adnan Zeb, Hussain Ahmad Madni, Umar Qasim, Zahoor Ali Khan, and Nadeem Javaid
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Data mining techniques and applications — A decade review

International Conference on Automation and Computing (ICAC), 2017 Hussain Ahmad Madni, Zahid Anwar, and Munam Ali Shah
Publisher's website

Skills

My Skills

Python
90%
LaTex
95%
C/C++
85%
Java
85%
JavaScript/JQuery
90%
HTML/CSS
97%
PHP
95%
SQL
95%

© Hussain Ahmad Madni. All Rights Reserved.