About Me
Ehsan Nowroozi serves as a Senior Lecturer (Associate Professor) at Ravensbourne University London in the Department of Business and Computing. He completed his doctorate at Siena University in 2020, specializing in artificial intelligence for cybersecurity, with a focus on adversarial machine learning, multimedia forensics, network security, and digital forensics.
His research has significantly impacted AI-cybersecurity, emphasizing the identification and defense against adversarial threats. Ehsan has held four postdoctoral positions at renowned institutions, including Queen’s University Belfast, the University of Padua, the University of Siena, and Sabanci University, and was an assistant professor at Bahcesehir University in Istanbul. These roles have allowed him to contribute extensively to the field, particularly in developing strategies to counteract cyber threats.
Ehsan has contributed to various high-profile projects funded by organizations like DARPA, the U.S. Air Force Research Laboratory, the Italian Ministry of University and Research, and THALES UK. He is a respected reviewer for journals such as IEEE TNSM, IEEE TIFS, and IEEE TNNLS.
He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) since 2022 and an ACM Professional member since 2023, demonstrating his active engagement in the professional tech and cybersecurity communities. His diverse roles and contributions reflect a deep commitment to advancing cybersecurity and AI research.
Education and Training
Ph.D. in Information Engineering and Science, University of Siena, Department of Information Engineering and mathematics, Siena, Italy, Supervisor: Professor Mauro Barni.
Master of Computer Engineering - Computer Architecture, Shahid Beheshti University, Tehran, Iran.
Academic Positions
Senior Lecturer (Associate Professor) in Cyber Security, Ravensbourne University London (RUL), Department of Business and Computing, London, United Kingdom.
Research Fellow, Queen's University Belfast (QUB), Centre for Secure Information Technologies (CSIT), Northern Ireland, United Kingdom.
Assistant Professor, Bahçeşehir University (BAU), Department of Computer Engineering, Istanbul, Turkey.
Postdoctoral Fellow, Sabanci University, Istanbul, Turkey, Department of Engineering and Natural Sciences, Computer Science and Engineering, Supervisors: Professor Erkay Savas, and Berrin Yanikoglu
Postdoctoral Fellow, University of Padova, Italy, Department of Mathematics, Supervisor: Professor Mauro Conti.
Postdoctoral Fellow, University of Siena, Italy, Department of Engineering and Mathematics, Supervisor: Professor Mauro Barni.
ONGOING RESEARCH
Backdoor Attack
Implementing a new Backdoor attacks to bypass a security model.
Fake Videoconferencing Detection
Designing a secure/robust model for discriminating real from virtual background and robust against adversarial attacks
Sec URL Model
Design a secure and robust model for distinguishing real URL from fake one and robust against adv attacks
Transferability Issue
Designing a model to avoid the adversarial transferability
Book
Writing a book with a title of Adversarial Multimedia Forensics
Professional Serivce
RESEARCH INTERESTS
Machine Learning
Machine learning is an application of AI that enables systems to learn and improve from experience without being explicitly programmed. Machine learning focuses on developing computer programs that can access data and use it to learn for themselves.
Multimedia Forensics
Multimedia forensics has now become an integral part of the Cyber Forensics. Multimedia forensics involves the set of techniques used for the analysis of multimedia signals like audio, video, images. It aims to It aims to Reveal the history of digital content, Identifying the acquisition device that produced the data, Validating the integrity of the contents, Retrieving information from multimedia signals.
Adversarial machine learning
Is a machine learning that attempts to exploit models by taking advantage of obtainable model information and using it to create malicious attacks.
Deep Learning
Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans: learn by example.
Cryptography
is the practice and study of techniques for secure communication in the presence of adversarial behavior, an indispensable tool for protecting information in computer systems.
Verification of AI
The verification of Artificial Intelligence (AI) involves the process of confirming that an AI system operates according to its design intentions and adheres to specific established criteria or standards. This step is essential for upholding the dependability, safety, and efficacy of AI systems, particularly as they grow in complexity and are employed in increasingly vital applications.
