プロフィール詳細

プロジェクトを作成

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Dr. Aftab H.に依頼

Austria

Aftab Hussain here, I am PhD scholar and expert in CV, Deep Learning, Machine Learning, Artificial Intelligence.

プロフィール概要

I am a PhD candidate in Computer Science at Johannes Kepler University (JKU) Linz, Austria, specializing in Artificial Intelligence — currently researching deep learning, spiking neural networks, and continual learning at one of Europe's leading technical universities, where I also serve as a Graduate Teaching Assistant. I hold an M.Sc. in Computer Science (thesis on Deep Learning and Medical Imaging) with publications in IEEE Access, and hold IBM and Coursera certifications in Machine Learning and Computer Vision. My core expertise includes Python, computer vision, NLP, federated learning, and end-to-end AI/ML model development and deployment. I combine academic research depth with strong practical implementation skills, delivering technically rigorous and results-driven solutions.

専門分野

• ☆ Computer Science
• ☆ Data Analysis
• ☆ Image Processing
• ☆ Machine Learning
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Computer Vision
• ☆ Computer Science Education
• ☆ Python

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing

Research Market Research, User Research, Feasibility Study, Fact Checking, Gap Analysis, Gray Literature Search, Systematic Literature Review

Consulting Digital Strategy Consulting, Scientific and Technical Consulting

Data & AI Statistical Analysis, Algorithm Design-Non ML, Data Visualization, Big Data Analytics, Data Processing, Data Insights

Product Development Formulation, Product Evaluation, Material Sourcing, Product Validation, Concept Development, Prototyping

職務経験

Graduate Teaching Assistant

Johannes Kepler University of Linz

2月 2024 - 現在

Lecturer Computer Science

Emerson University Multan

10月 2022 - 現在

Lecturer

Capital University of Science and Technology

3月 2023 - 8月 2023

Lecturer

Emerson University Multan

10月 2022 - 3月 2023

Researcher

COMSATS University Islamabad

4月 2021 - 7月 2022

学歴

PhD in Computer Science (Institute of Pervasive Computing)

Johannes Kepler University of Linz

4月 2024 - 現在

MS Computer Science

COMSATS Institute of Information Technology, Islamabad - Pakistan

9月 2019 - 7月 2022

認定資格

• Machine Learning with Python

  IBM

  https://coursera.org/share/0cb0bc61e7ace67387f87c413dcd9bcb

  10月 2021 - 現在

• Introduction to Computer Vision and Image Processing

  IBM

  https://coursera.org/share/56dded1d510f3aad7b35e544fe6104e3

  9月 2021 - 現在

出版物

JOURNAL ARTICLE

Aftab Hussain, Anand Polamarasetti, Shakeel Ahmad, Muhammad Zaman, Rahiel Ahmad, Adnan Akhunzada (2026). Cascaded Cross-Attention Vision Transformers with Wavelet-Based Encodings for DeepFake Detection . International Journal of Computer Vision.

Aftab Hussain, Muhammad Naeem Akram, Muhammad Usman Yaseen, Muhammad Waqar, Muhammad Imran(2023). A Double-Branch Xception Architecture for Acute Hemorrhage Detection and Subtype Classification . Computers, Materials & Continua. 76. (3). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 3727--3744. Computers, Materials and Continua (Tech Science Press)

Hussain, Aftab, Akram, Muhammad Naeem, Yaseen, Muhammad Usman, Waqar, Muhammad, Imran, Muhammad (2023). A Double-Branch Xception Architecture for Acute Hemorrhage Detection and Subtype Classification . Computers, Materials and Continua.

Aftab Hussain, Muhammad Usman Yaseen, Muhammad Imran, Muhammad Waqar, Adnan Akhunzada, Mohammad Al-Ja'afreh, Abdulmotaleb El Saddik (2022). An Attention-Based ResNet Architecture for Acute Hemorrhage Detection and Classification: Toward a Health 4.0 Digital Twin Study . IEEE Access.

CONFERENCE PAPER

Aftab Hussain, Alois Ferscha (2025). iTBG-Net: Enhancing Short-Term Renewable Energy Forecasting with Incremental Deep Learning . 2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET).

Aftab Hussain, Abdulrafay, Tanzila Kehkashan, Muhammad Zaman, Faheem Akbar, Khuzaima Munir (2024). A Hybrid Approach for Tuberculosis Detection using Convolutional Attention Networks and XGBoost . 2024 5th International Conference on Innovative Computing (ICIC).