Our article, “A Privacy-Preserving System for Confidential Carpooling Services Using Homomorphic Encryption”, has been published in Advanced Intelligent Systems (Wiley). This study enables encrypted route matching without disclosing users’ locations or routes, ensuring privacy and security even under adversarial conditions, while offering a scalable, quantum-resistant solution for carpooling services that complies with international security standards.
The oral examination session for Information Security will be held in the Professor’s office on 19 February 2025.
Exam schedule
- Student ID: 153248 — 14:00
- Student ID: 134282 — 15:00
- Student ID: 158453 — 16:00
Note: please arrive at least 10 minutes before your scheduled time and bring a printed copy of your project, if applicable.
Our article, “For Your Eyes Only: A Privacy-Preserving Authentication Framework Based on Homomorphic Encryption and Retina Biometrics”, has been published in IEEE Access (IEEE). This framework ensures secure and accurate identity verification by keeping biometric data encrypted throughout the entire authentication process, effectively protecting against replay attacks and data exposure.
Nominated for the EUROSIM PhD Award by the Federation of European Simulation Societies (Amsterdam, NL), in recognition of the outstanding application of modelling and simulation methodologies to address critical global scientific challenges.
Selected as a Microsoft Innovative Educator (MIE) Expert, joining a global network of educators committed to fostering a culture of learning, innovation, and continuous improvement.
Recipient of the PhD Award 2022, recognising the most talented doctoral researcher for distinguished contributions to the fields of science and technology.
Our article, “A System-Theoretic Approach for Image-Based Infectious Plant Disease Severity Estimation”, has been published in PLOS ONE (Public Library of Science). The study presents a recursive, non-linear dynamical system for automatically diagnosing disease severity in plant leaves, even from noisy or low-resolution images, demonstrating excellent generalisation.
Our book chapter, “Biometric-Based Human Recognition Systems: An Overview”, has been published in Recent Advances in Biometrics (IntechOpen). The study offers a thorough overview of biometric traits, system modalities, and security considerations, covering both behavioural and physiological characteristics, common threats, and evaluation metrics for real-world applications.
Awarded the Doctor Europaeus title in recognition of outstanding international academic achievements and for fulfilling the strict requirements set by the European University Association.
Our article, “A Threshold Mechanism Ensures Minimum-Path Flow in Lightning Discharge”, has been published in Scientific Reports (Nature). This work demonstrates that threshold-like characteristics in non-linear resistive networks concentrate current along the minimum path, thereby explaining the transient behaviour of lightning and dielectric discharges. A dynamic model replicates plasma branch formation and the selection of optimal paths.
In collaboration with the University of Oxford, the University of Trento, and Ca’ Foscari University of Venice.
Our article, “A Dynamic Biometric Authentication Algorithm for Near-Infrared Palm Vascular Patterns”, has been published in IEEE Access (IEEE). The study introduces a novel system-theoretic approach using a recursive algorithm to compare subcutaneous palm vascular patterns for biometric authentication, achieving high accuracy and robustness against spoofing attacks, even under noisy conditions.
In collaboration with the University of Trento.
Our article, “Biometric Palmprint Verification: A Dynamical System Approach”, has been published in IEEE Transactions on Systems, Man, and Cybernetics: Systems (IEEE). This study proposes an approach that employs a positive linear dynamical system to robustly match palmprint features by iteratively aligning principal palm lines, achieving state-of-the-art verification performance even in the presence of noise.
In collaboration with Delft University of Technology.
In this research report, “Detection of Stealthy False-Data Injection Attacks on Safety-Critical Cyber-Physical Systems”, conducted at Imperial College London, we assess threats to cyber-physical systems, demonstrate the impact of covert attacks, and propose an autoencoder-based anomaly detection method, validated on the SWaT water treatment testbed.
In collaboration with Imperial College London.