Live technology programs

Research and mentorship

My research on using deep reinforcement learning to attack digital images was published in IEEE Access. I have four additional papers under review. They cover defenses based on proximal policy optimization (PPO) against poisoning and evasion attacks, and quantum reinforcement learning that can tolerate noise on today’s quantum hardware.

The projects I’ve mentored span adversarial machine learning, zero-trust IoT security, federated learning, and AI-driven threat intelligence. Several have produced publication-quality results.

Quantum computing

I’m building on my work in quantum reinforcement learning to explore whether quantum architectures can make AI systems more capable and resilient.

Teaching across borders

I’m a permanent faculty member at The Millennium Universal College and an adjunct faculty member at SWISS UMEF University in Switzerland, where I design MSc-level modules in reinforcement learning, AI optimization, and advanced algorithms for international cohorts.

Industry experience

I founded and lead KaiRiz Cyber Technologies in the UK and Pakistan, where we deliver AI and cybersecurity solutions and training. As a machine learning engineer and AI consultant, I’ve worked on fraud detection, adversarial defense, and security operations center automation.

Research collaboration

I welcome collaborations, postdoctoral positions, research fellowships, and research assistant roles in Europe and internationally. I’m especially interested in labs studying adversarial robustness, trustworthy machine learning, or quantum machine learning.