Cybersecurity and Networks

Generating Reliable, Safe Systems

people look at large cabinet of electronic hardwareOur research expertise spans applications and frameworks, using numerical methods, algorithm refinement, and analytics to keep large-scale networks effective and safe for users. We employ cutting-edge machine learning and deep learning models to counter adversarial attacks and malware, simulating real-world attacks, and showcasing effectiveness against attacks on authentic user data. Below is a rotating selection of our standout investigators in these fields.

   ○ Recent News and Highlights
   ○ Research Strength: Ethical Technology

Featured Faculty

changShih-Yu Chang
Assistant Professor of Applied Data Sciences
Tensor Data Processing, Wireless Networking, Physical Layer Security, Random Tensors
ORCID: 0000-0002-3576-0021

masumMohammad Masum
Assistant Professor of Applied Data Science
Machine Learning, Deep Learning, AI, Tiny Machine Learning, Ethics in AI, Health Informatics, Cybersecurity, Natural Language Processing, Large Language Processing
ORCID: 0000-0001-9974-6950

mohMelody Moh
Professor of Computer Science
Cloud Computing, Mobile Networks, Security and Privacy in Cloud and Networks, Machine Learning Applications in Cloud and Networks
ORCID: 0000-0002-8313-6645

morelos-zaragozaRobert Morelos-Zaragoza
Professor of Electrical Engineering
Error Correcting Codes, Wireless Communication, Software Radio, Belief Propagation, Decoding Algorithms
ORCID: 0000-0002-2425-1694

parkYounghee Park
Associate Professor of Computer Engineering
Network Security, Self-driving security, IoT Security, Blockchain Security
ORCID: 0000-0003-0651-2384

reedBenjamin Reed
Assistant Professor of Computer Engineering
Operating Systems, Networking, Distributed Systems, and Internet Services for Disconnnected Regions
ORCID: 0000-0002-8620-0331

suXiao Su
Professor of Computer Engineering
Computer Networking, Multimedia Communications, Network Security, and Machine Learning

stampMark Stamp
Professor of Computer Science
Information Security, Cybersecurity, Malware, Machine Learning, Deep Learning, Artificial Intelligence
ORCID: 0000-0002-3803-8368

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