91猎奇

Dr Muhammad Ajmal Azad is an Associate Professor of Cyber Security in the Department of Computer Science at 91猎奇. His research focuses on trustworthy and secure digital systems, with particular interests in trustworthy and verifiable artificial intelligence, privacy-preserving machine learning, federated learning security, adversarial machine learning, telecommunications security, Internet of Things security, zero-trust security, decentralised trust, blockchain security, and online harms.

His current research examines how organisations can deploy AI and distributed systems while maintaining security, privacy, accountability and verifiability. His work includes privacy-preserving federated learning, explainable AI for IoT security, edge-enabled federated learning, caller identity authentication, decentralised reputation systems, and zero-trust security for IoT environments.

A major strand of his research addresses telecommunications security and digital identity. His work investigates caller-ID spoofing, robocalls, fraudulent communications, VoIP security and authentication across heterogeneous telecommunications networks. His research in this area includes methods for caller identity verification, privacy-preserving collaboration between service providers, social-network-based fraud detection and mechanisms for protecting users against unwanted or malicious communications.

His recent research increasingly focuses on trustworthy, privacy-preserving and verifiable AI. This includes federated learning in adversarial settings, explainable AI, provenance, zero-knowledge proofs, decentralised identity, model accountability and mechanisms that allow organisations to demonstrate how AI systems operate without unnecessarily revealing sensitive models, training data or proprietary information.