The following projects explore where tech, people, and big ideas come together. Whether you’re into cracking quantum problems, making AI more trustworthy, or figuring out how big organisations really handle security, there’s something exciting here for you. If you’re curious, creative, and ready to make a real impact — let’s do this.

Research Domains

Quantum Threats

The quantum era is upon us, reshaping digital security as we know it. Quantum computers promise incredible computational power, but they also pose an unprecedented threat to our current cryptographic systems. Imagine a future quantum computer cracking today’s strongest encryption in mere hours,  something that would take classical computers thousands of years. This prospect makes cybersecurity both more challenging and more exciting, pushing us to rethink how we protect data and to bridge cutting-edge theory with real-world solutions.

One major focus in this domain is post-quantum cryptography, inventing new encryption algorithms that even quantum computers can’t crack. It’s essentially about future-proofing our data and communications for the quantum age. Another exciting avenue is quantum-enhanced cybersecurity: for instance, using quantum machine learning to spot cyber threats faster or leveraging quantum physics for ultra-secure communications. It’s the perfect blend of theory and practice: you might delve into complex math and quantum science and then apply that knowledge to build security tools with real-world impact. As a PhD researcher in Quantum Threats, you can pioneer solutions that ensure our digital world stays safe and trustworthy in the coming quantum era.

Trustworthy AI for Cybersecurity

Artificial intelligence is gradually becoming, if not already, a powerhouse in cybersecurity, tackling everything from malware detection to network monitoring. But raw AI power isn’t enough if we can’t trust it; security AI needs to be just as trustworthy as it is smart. This research area (broadly) focuses on making AI systems that are secure, explainable, and robust against attacks. It covers adversarial machine learning (figuring out how to stop hackers from tricking AI with deceptive inputs), explainable AI (so humans can understand and trust an AI’s decisions), and the ethics of AI in security (ensuring these systems act responsibly and fairly). The goal is an AI that not only strengthens cyber defenses, but does so in a transparent and reliable way – giving everyone confidence in the technology.

Enterprise Cybersecurity Solutions

Enterprise Cybersecurity Solutions focuses on the human and organizational side of security and the technical side (control). In a large company, even the best technology won’t protect you if policies and practices are weak or people aren’t on board; in fact, around 82% of breaches involve a human element like mistakes or social engineering. This research area looks at how organizations build robust security programs beyond just buying tools. It covers things like security policies and standards, risk management frameworks, and compliance requirements and maps them to the technical control requirements. It’s all about bridging technical solutions with organizational behavior, making sure cybersecurity practices align with how people actually work in an enterprise. As a researcher in this field, you could help craft holistic security strategies that blend technology, training, and governance, ensuring that security is woven into the very fabric of an organization.