Jun Xiao

Dedicated educator and cybersecurity professional with experience in teaching, curriculum development, and technical training. Passionate about mentoring students in cybersecurity, secure coding, and privacy technologies. Skilled in online learning platforms like Blackboard, instructional design, and student engagement strategies, with formal training from the Center for Teaching Excellence at George Washington University. In addition to teaching, I bring extensive industry experience in security engineering, software development, middleware integration, and cloud computing. Proven ability to develop and implement enterprise security solutions, lead cross-functional teams, and drive innovation in financial and cloud-based infrastructures.

• Taught courses focused on secure coding, machine learning, IoT and cloud security, and privacy principles, providing students with practical and theoretical knowledge in cybersecurity.
• Designed and developed engaging online course content, including interactive lectures, hands-on exercises, and real-world case studies to enhance students' understanding of cybersecurity challenges.
• Managed Blackboard LMS, facilitating online discussions, assignments, and assessments to create a dynamic and collaborative learning environment.
• Completed Teaching for Excellence training from GWU Center for Teaching Excellence, integrating best practices in pedagogy, assessment design, and student engagement.

• Assisted in teaching Computer Architecture by leading lab sessions, grading assignments, and providing student support.
• Guided students in hands-on projects involving programming, circuit design, and hardware-software integration.
• Provided one-on-one tutoring and troubleshooting for coding assignments in languages such as C and Java.
• Collaborated with faculty to develop instructional materials and assessments.
• Assisted in administering exams and evaluating student performance.

• Assisted in teaching Calculus and Linear Algebra by conducting review sessions, grading assignments, and providing one-on-one tutoring.
• Explained complex mathematical concepts in an accessible manner to support student learning and problem-solving skills.
• Collaborated with faculty to develop instructional materials and assessments.
• Provided feedback to students to improve their analytical and computational skills.

Research Paper: A Blockchain-Enabled Machine Learning Intrusion Detection System to Protect Internet of Things

• This paper proposes a blockchain-enabled machine learning (ML) approach to enhance IoT security, integrating intrusion detection with decentralized trust mechanisms.
• The results demonstrate that combining ML with blockchain technology strengthens IoT security, providing a scalable and adaptive defense mechanism against cyber threats. This approach offers practical applications for industry while serving as a foundation for future research on AI-driven cybersecurity solutions.

Cyber Forensics

• Acquired skills in the acquisition, preservation, and analysis of digitally stored information, ensuring it is admissible as evidence in court.
• Gained proficiency in industry-standard forensic processes and techniques for conducting cyber forensics investigations.

Cybersecurity Architectures

• Explored traditional network-centric cybersecurity models such as Defense in Depth, along with emerging models including DevSecOps, Cloud-native, and Zero Trust Architecture.
• Analyzed the benefits and challenges of these models, aligning them with MITRE frameworks to support organizational business/mission outcomes.

Security Data Analysis & Visualization

• Specialized in the visualization and analysis of security data, focusing on scaling up information security, security metrics, and security monitoring techniques.
• Utilized industry tools for security data visualization and analytics to support informed decision-making.
• Surveyed a range of analytical tools for cybersecurity data analysis, emphasizing the role of data analytics in shaping cybersecurity policies.
• Applied these tools to enhance the effectiveness of cybersecurity strategies and policy decisions

Applied Cryptography and Data Protection

• Gained in-depth knowledge of cryptographic techniques, including classical algorithms such as AES, RSA, and RC4.
• Explored advanced topics like zero-knowledge proofs and zero-trust architectures, with case studies on real-life applications of cryptographic solutions.

Python for Cybersecurity

• Mastered Python for cybersecurity applications, focusing on secure coding, network analysis, cryptography, and malware analysis.
• Automated various cybersecurity tasks using Python, enhancing the efficiency and effectiveness of security operations.

IEEE Computer Society | Member since 2022