Topics of interest include, but are not limited to, the following
tracks:
Track 1: Trusted Microelectronics, Hardware, and Embedded Systems
Track Chair
Dr. Zhonghao Liao
Milwaukee School of Engineering, USA
Focus: microelectronics, hardware, and embedded/IoT systems.
- Secure Microelectronics for IoT Devices
- Microelectronics Design, Fabrication, and Characterization
- Semiconductor Devices and Integrated Circuits
- MEMS, Sensors, and Smart Instrumentation Systems
- IoT Hardware Security and Trust
- Secure Embedded AI Systems
- Hardware Root of Trust and Tamper Resistance
- Secure Boot and Firmware Integrity
- Secure Hardware Accelerators for IoT
- Side-Channel and Fault-Injection Attacks and Countermeasures
- Physical Unclonable Functions and True Random Number Generator for IoT
- Trustworthy Electronic and Embedded Systems
- Verification, Validation, and Certification of Trustworthy Systems
- Supply Chain Integrity Verification for Embedded Systems
Track 2: Secure Additive and Advanced Manufacturing Systems
Track Chair
Dr. Prashant Dewan
Microsoft Corporation, USA
Focus: additive and intelligent manufacturing technologies and supply chains.
- Additive Manufacturing and 3D Printing Technologies and Applications
- Secure Additive Manufacturing for IoT Systems
- Printed Electronics and Advanced Functional Materials
- Digital Manufacturing and Industry 4.0 Systems
- Artificial Intelligence and Machine Learning for Manufacturing and Electronics
- Cybersecurity for Manufacturing Systems
- Secure Manufacturing and Supply Chain Assurance
- Supply Chain Security and Counterfeit Detection
- Reliability, Fault Diagnosis, and Predictive Maintenance
- Digital Twins and Smart Factory Technologies
- Data Integrity, Privacy, and Trust Management
- Resilient and Secure Manufacturing Technologies
Track 3: Secure IoT, Edge, Cloud, and Heterogeneous Systems
Track Chair
Dr. Weiqi Liu
Auburn University Montgomery, USA
Focus: Secure and interconnected IoT, edge, cloud, and heterogeneous systems.
- Edge Computing Security Techniques
- Data Integrity and Privacy for IoT Systems
- Secure IoT-Based Edge and Cloud Computing
- IoT-Based Distributed Systems Security
- Security and Assurance in Heterogeneous System Integration
- Digital Twin Security for IoT Systems
- Advanced IoT Security Frameworks
- Blockchain for Secure Distributed IoT Systems
- Blockchain-Enabled Trust and Data Integrity in Cloud-Edge Architectures
Track 4: Network and Communication Security and Privacy
Track Chair
Dr. Alvi Ataur Khalil
Southern Illinois University, USA
Focus: IoT communication networks.
- IoT Network and Communication Security and Privacy
- Secure IoT Communication Protocols
- Blockchain for IoT
- Smart Contract Security in IoT
- Quantum-Safe Cryptography for IoT
- Zero Trust Architecture in IoT Networks
- 5G/6G and Next-Generation IoT Security
- Physical Layer Security
- IoT Privacy-Enhancing Technologies
- Secure, Resilient, and Energy-Efficient IoT Communications
Track 5: Security/Trustworthiness of AI and ML
Track Chair
Asmae Mhassni
Intel Corporation, USA
Focus: AI/ML security and security for AI/ML based IoT systems.
- Trustworthy Machine Learning for IoT
- AI-Driven Threat Detection for IoT
- Deep Learning for IoT Anomaly Detection
- Security and Trustworthiness of Generative AI for IoT
- AI-Based Fraud Detection Systems
- Trusted ML and Embedded AI Hardware
- AI for Secure Decision-Making in IoT
- Adversarial Attacks and Defenses in IoT AI/ML
- Model Robustness and Resilience in IoT AI/ML Systems
- Privacy-Preserving Machine Learning in IoT
- Trustworthy AI/ML Pipelines and Secure Deployment in IoT Systems
- Secure Embedded AI Systems
Track 6: Security, Safety, and Resilience of AI-enabled Cyber-Physical Systems
Track Chair
Dr. Rishabh Das
Ohio University, USA
Focus: cyber-physical systems and critical applications.
- Security and Privacy in AI-Driven Smart City Applications
- Securing AI-Based Healthcare Systems and Data
- Safety, Security, and Validation of AI in Autonomous Vehicles
- Resilience of AI-Driven Control Systems for Critical Infrastructure
- Cybersecurity for Industrial Control Systems
- AI-Enabled Critical Infrastructure Security
- Safety and Resilience of Cyber-Physical Systems
Special Track: Digital Assurance
Dr. William Zortman
Digital Assurance Campaign Manager, Sandia National Laboratories
Dr. Jim Plusquellic
Professor, University of New Mexico; President and CEO, IC-Safety
Dr. JV Rajendran
Lauderdale Family Engineering Excellence Professor, Texas A&M University
The Digital Assurance special track focuses on the systematic characterization,
evaluation, and management of digital risks in embedded systems, particularly risks
that could prevent cyber-physical controllers from functioning as intended.
Topics of interest include, but are not limited to:
- Metrics and Methods for Digital Risk Characterization
- Digital Risk Assessment and Management in Embedded Systems
- Lifecycle Assurance of Digital Technologies
- Assurance of Digital Components and Controller Implementations
- Evidence-Based Assurance and Confidence Assessment
- Characterization of Digital Technology Limitations and Failure Modes
- Digital Assurance for Mission-Critical Embedded Systems
- Assurance-Driven Design and Implementation Trade-Offs
- Quantitative Evaluation of Digital System Dependability
- Assurance Case Development and Evidence-Based Evaluation
- Digital Assurance Tools, Techniques, and Methodologies
