Professor Justin DelVecchio, PhD, a cybersecurity expert from Canisius University, is available to provide expert commentary on emerging cyber threats, artificial intelligence developments, and national security implications. With over 20 years of industry experience, including significant work with defense contractors and government agencies, DelVecchio offers valuable insights into:
AI and Cybersecurity:

Impact of large language models on cyber defense and threat detection
Machine learning applications in identifying emerging cyber threats
Evolving landscape of AI-driven influence operations and misinformation

Advanced Threat Detection:

Novel approaches to malware analysis and detection
Information fusion techniques for cyber threat intelligence
Emerging patterns in cyber attacks targeting critical infrastructure

Defense and National Security:

Cyber defense strategies for government and private sectors
Integration of AI in national security applications
Risk assessment and mitigation for critical systems

Background: 
Professor DelVecchio brings extensive experience from his work at CUBRC Inc., where he led software development projects for the Office of Naval Research, IARPA, Army Corps of Engineers, and Army I2WD. His doctoral research focused on Android malware analysis and developing innovative methods to identify new cyber threats through immutable characteristics.
Areas of Expertise:

Machine Learning and Artificial Intelligence
Large Language Models
Cybersecurity
Defense Technology
Computer Science
Information Fusion
Malware Analysis

Education: 

Ph.D. - Computer Science & Engineering - University at Buffalo
M.S. - Computer Science & Engineering - University at Buffalo
B.A. - Computer Science - University at Buffalo