👋 Hi, I’m Muhammad Ammar ul Hassan

Education & Background | Research Interests | Publications | Technical Skills | Teaching & Talks | Contact

I am an AI Engineer at DeltaX.AI, focusing on building Advanced Driver Assistance Systems (ADAS), including Driver Monitoring Systems (DMS), Occupancy Monitoring Systems (OMS) and Exterior Monitoring Systems (EMS) for autonomous driving.

🎓 Education & Background

• Ph.D. in Computer Science at Soongsil University, Seoul, South Korea, advised by Prof. Jaeyoung Choi
• M.S. in Computer Science from Soongsil University
• B.S. in Software Engineering from International Islamic University
• Recipient of International Graduate Research scholarship by Soongsil University for M.S. and Ph.D. studies

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🔬 Research Interests & Expertise

• Computer Vision & Deep Learning
• Generative Modeling & GANs
• Object Detection & Semantic Segmentation
• Depth Estimation
• EdgeAI & Model Optimization
• Advanced Driver Assistance Systems (ADAS)
• Multi-Camera Systems

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📚 Published Research

Learning font-style space using style-guided discriminator for few-shot font generation
Ammar Ul Hassan, Irfanullah Memon, and Jaeyoung Choi
Expert Systems With Applications (ESWA 2023)
[paper]

Exploiting mixing regularization for truly unsupervised font synthesis
Ammar Ul Hassan, Hyunsoo Lee, and Jaeyoung Choi
Pattern Recognition and Letters (PR-Letters 2023)
[paper]

Real-time high quality font generation with Conditional Font GAN
Ammar Ul Hassan, Irfanullah Memon, and Jaeyoung Choi
Expert Systems With Applications (ESWA 2022)
[paper]

FontNet: Closing the gap to font designer performance in font synthesis
Ammar Ul Hassan, Jaeyoung Choi
AI for Content Creation Workshop (CVPR 2022)
[paper]

Unpaired font family synthesis using conditional generative adversarial networks
Ammar Ul Hassan, Hammad Ahmed, and Jaeyoung Choi
Knowledge-Based Systems (KBS 2021)
[paper]

SKFont: skeleton-driven Korean font generator with conditional deep adversarial networks
Debbie Honghee Ko, Ammar Ul Hassan, Jungjae Suk, and Jaeyoung Choi
International Journal on Document Analysis and Recognition (IJDAR 2021)
[Code] | [paper]

SkelGAN: A Font Image Skeletonization Method
Debbie Honghee Ko, Ammar Ul Hassan, Saima Majeed, and Jaeyoung Choi
Journal of Information Processing Systems (JIPS 2021)
[Code] | [paper]

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💻 Technical Skills

• Frameworks: PyTorch, TensorFlow, ONNX, TensorRT
• Languages: Python (proficient), C/C++ (knowledgeable)
• Edge Devices: NVIDIA Jetson, TI Board, Multi-Camera Systems
• Tools: Docker, MLOps, Git/GitHub
• Areas: Computer Vision, Deep Learning, Model Optimization

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🎓 Teaching & Talks

• Head TA for Deep Learning Programming at Soongsil University (Fall 2021)
• GANs Tutorial at Korean Society Of Computational Science And Engineering (KSCSE)
• Font Generation trends using Machine Learning at AMGCC 2020 Link

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🔗 Let’s Connect

• 📧 Email: ammar.instantsoft@gmail.com
• 🌐 Website: Personal Website
• 📱 Phone: (+82) 10-2637-3994
• 📍 Location: Seoul, South Korea

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💡 I’m always interested in collaborating on innovative AI projects and research. Feel free to reach out if you’d like to discuss potential collaborations or have any questions about my work!