The Software Engineering for Secure AI-based Systems (SESAIS) Research Lab, led by Dr. Torre at the University of Washington Tacoma, focuses on enhancing the security, reliability, and trustworthiness of AI-driven software systems. Our research emphasizes critical areas including autonomous systems such as drones and IoT devices, addressing vulnerabilities through innovative cybersecurity techniques. By collaborating with leading academic institutions, industry partners, and government agencies, SESAIS aims to solve emerging cybersecurity challenges, paving the way for robust, resilient, and secure technologies in increasingly interconnected environments.

Research Area

• AI-Driven Cybersecurity: Developing AI-powered Intrusion Detection Systems to identify and mitigate cyber threats in autonomous systems.
• Privacy-Preserving Machine Learning: Enhancing federated learning techniques to ensure data privacy while maintaining robust performance in intrusion detection systems.
• Model-Driven Engineering: Utilizing model-based approaches to improve the design and analysis of complex software systems, ensuring consistency and reliability.

Students Involvement

The SESAIS Lab actively engages students in cutting-edge research projects. I am seeking highly motivated students to join our research group through the Ph.D. program in Computer Science and Systems at the University of Washington Tacoma. Ideal candidates should hold a bachelor's degree and have a strong interest in AI-driven cybersecurity research. If you are interested, please email me your CV and a brief research statement. Additionally, motivated undergraduate and master's students at UW Tacoma are warmly invited to participate in ongoing research projects under my supervision.

CURRENT STUDENTS:

Kannika Armstrong, Master CSS. Research Topic: Optimizing Performance and Efficiency of Lattice-Based Post-Quantum Cryptography Algorithms in Resource-Constrained UAV Environments.

Ruslan Ivanovich Nurimbetov, Master CSS. Research Topic: Federated Learning Techniques to Enhance Security in UAVs.

Jacob Klymenko, Undergraduate CSS. Research Topic: Building a Dataset for Cybersecurity Research on Autonomous Drones.

Faculty Collaboration

Below is a list of faculty members with whom there is ongoing academic collaboration:

Davide Fucci, Associate Professor, Blekinge Institute of Technology, Sweden.

Mohammad Jasim, Assistant Professor, University of Washington Tacoma, USA.

Claudio Menghi, Asssociate Professor, University of Bergamo, Italy.