Israr Ahmad
Applied AI Researcher | Computer Vision | Deep Learning | AI Security
Hello, I'm Israr!
Welcome to my digital space! I’m passionate about building smart and secure AI systems that positively impact the world. My research journey has led me to the intersection of adversarial machine learning, remote sensing for smart cities, and medical imaging for healthcare.
I thrive on applying deep learning and computer vision in real-world scenarios—whether that's making city infrastructure safer, supporting healthcare diagnostics, or developing resilient AI models that stand strong against cyber threats.
Adversarial Machine Learning & AI Security
My fascination with AI security began during my graduate studies, where I asked: "How secure are our intelligent systems?" Since then, I've focused on building robust models that can resist manipulative adversarial attacks—those tricky modifications that try to fool even the smartest networks.
I'm driven by both practical challenges and theoretical advances in areas like logic locking, circuit protections, and model defense mechanisms. My publications and ongoing projects aim to ensure that tomorrow's AI is not just intelligent, but resilient and trustworthy. For me, robust AI is responsible AI.
Remote Sensing Object Detection for Smart Cities
The future of urban living excites me. My research in remote sensing combines drones, satellite imagery, and cutting-edge deep learning to detect and monitor elements vital to city infrastructure—like road cracks, potholes, and urban changes in real time.
I developed practical AI-driven solutions for large-scale smart city initiatives and have contributed to award-winning research such as "Deep Learning Method to Detect Road Cracks and Potholes for Smart Cities". My goal is to help shape smarter, safer, and more sustainable cities using powerful vision systems.
Medical Imaging for Healthcare
The positive impact AI can have on health inspires much of my work. From detecting autism spectrum disorder in facial images to building fast and accurate brain tumor detection models with MRI data, I channel my deep learning expertise into improving healthcare diagnostics.
I’ve published and presented research directly addressing real clinical needs, always with a commitment to ethics and collaboration with medical professionals. My work in this area is more than just research—it's a personal commitment to making a difference in people’s lives.
My Journey & Skills
- MEng, Pattern Recognition & Intelligent Systems, Beihang University, Beijing
- BSci, Information Technology, University of Education Lahore
- Machine Learning Optimization Engineer at Chongqing Digital Technology
- Visiting Lecturer & Research Assistant at University of Okara
Let's Connect & Collaborate!
Whether you're a fellow researcher, student, or part of the industry, I’m always open to discussing new ideas, potential collaborations, or research opportunities. The intersection of security, smart environments, and health is where I thrive.
Thank you for visiting my About Me page and for supporting a vision of AI that is ethical, impactful, and secure.
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