Professor Huang currently serves as Dean and Professor of the School of Internet of Things at Xi’an Jiaotong–Liverpool University (XJTLU).

He has two PhD positions. For prospective students, please check the positions at the following links: postion 1 and postion 2.

His prior professional experience includes:

• Chief Scientist, Beijing Academy of Blockchain and Edge Computing (BAEC)
• Research Dean, Donghai Marine Digital Science Research Institute
• Tenured Associate Professor and Assistant Professor at Arizona State University, where he founded and led the Secure Networking and Computing (SNAC) Lab
• Visiting scientist and professor appointments in Japan, France, New Zealand, and China
• Industry experience as a network engineer and research intern in telecommunications and networking organizations

In addition to academic leadership, Professor Huang is an entrepreneur and technology innovator, having co-founded Athena Network Solutions LLC and CyNET LLC, promoting the commercialization of cybersecurity and intelligent computing technologies. 

He has mentored 17 PhD graduates and over 26 Master’s students, many of whom now serve as faculty members or technology leaders in industry worldwide. 

He has also contributed extensively to professional communities through leadership in IEEE technical committees, editorial boards, and over 40 international conference organizations. 

Professor Dijiang Huang’s research focuses on trustworthy intelligent systems and secure distributed computing, particularly for intelligent systems operating across mobile, edge, cloud, and networked infrastructures.

His current research directions include:

• Autonomous cyber defense and AI-driven security analytics
• Trustworthy AI and federated learning systems
• Security architectures for edge–cloud–AIoT environments
• Zero-trust and data-centric security for distributed systems
• Blockchain and distributed system security
• Applied cryptography and secure access control
• AI-enabled anomaly detection and decision-making models
• Secure intelligent systems for real-world infrastructures

His work aims to build secure, resilient, and trustworthy intelligent systems that can operate autonomously and safely in large-scale digital and physical infrastructures.

These research efforts have produced over 200 peer-reviewed publications, three books, and 10 U.S. patents, supported by approximately $25M in competitive research funding from major agencies and industry partners. 

Professor Dijiang Huang has extensive experience teaching undergraduate and graduate courses in computer networks, cloud computing, and cybersecurity, integrating research advances and industry practices into the classroom. His teaching emphasizes system-level thinking and project-driven learning, enabling students to connect theory with deployable solutions in networking, cloud platforms, and intelligent system security.

Courses he has developed and delivered include Computer Networks, Network Security, Virtualization and Cloud Computing, and advanced topics in security and distributed systems. Through hands-on projects and practical experimentation, his teaching prepares students to apply modern computing and security technologies to real-world systems and emerging intelligent infrastructures.

Professor Huang has received numerous honors recognizing his contributions to research, education, and innovation, including:

• IEEE Communications Society Distinguished Lecturer
• ONR Young Investigator Program Award
• JSPS Research Fellowship (Japan Society for the Promotion of Science)
• HP Innovation Research Program Award
• Member, National Academy of Inventors (NAI)
• Fulton Entrepreneurial Professor recognition
• Multiple fellowships and international visiting scholar awards
• Teaching excellence and innovation recognitions
• Project and technology innovation awards, including defense innovation and education innovation recognitions