Our key focus of this research:

💾 Resource-efficient training🛡️ Adversarial robustness 📡 Communication efficiency 

🔄 Heterogeneity handling 🎯 Optimal attack design

📜 Publications:

🧠 IEEE Transactions on AI  🌍 IEEE IoT Journal, 🤖 Intelligent Sym. App. Journal

🤖AAAI, 🤖 ICDCS, 🖥️ COMPSAC, ⚡SMARTCOMP, 📈ICMLA, 

🌐 INFOCOM, 🔬DCS, 📚CSCI (Best Paper), etc.

Wearable AI is transforming construction, healthcare, and sports by enhancing safety, personal health monitoring, and performance optimization. Key focus:

🔒 End-to-End Privacy Protection – Securing data from collection to deployment with advanced encryption and privacy-preserving techniques.
⚡ Lightweight & Real-Time AI –Ensuring AI models remain efficient & responsive for decision-making.
🛠️ Robust Security – Developing scalable security solutions for sensor-based AI ecosystems.
🤖 Trustworthy ML – Strengthening AI integrity to prevent attacks and data manipulation.
🔄 Seamless System Integration – Designing adaptive AI solutions that balance efficiency, accuracy, and security without disrupting user experience.

📜 Publications:

🧠 IEEE Transactions on AI, 🛡️CVPR '25 🤖 AAAI ⚡IEEE SMARTCOMP 💻 COMPSAC 

We are developing a Distributed Machine Learning (ML) framework designed to enhance interdependent cyber-physical-societal networks by improving decision-making and efficiency across interconnected infrastructures. Our research focuses on:

🏛️ Capturing Interdependence – Modeling the complex relationships between human-centered multi-layer critical infrastructures.
 Data Analytics & Decision-Making – Enabling intelligent, interdependent decision-making through advanced ML-driven insights.
⚡ Efficient & Global Optimization – Designing scalable and efficient solutions that achieve globally optimal performance in distributed settings.

📜 Publications:

📱IEEE Consumer Electronics, 📚CSCI, 📊 Patterns Journal, 📖 Book Chapter

This research aims to develop a secure, privacy-preserving, and resource-aware blockchain framework for interdependent smart cities, ensuring efficient, scalable, and trustworthy urban systems. Our key focus areas include:

🔐 Security & Privacy – Protecting sensitive urban data with advanced cryptographic techniques.
⚡Resource Efficiency–Optimizing computational and resources for sustainable blockchain operations.
🔗 Interoperability – Enabling seamless data exchange between interconnected smart city systems.
🏛️ Decentralized Governance –Strengthening trust through transparent, tamper-proof decision-making.

📜 Publications & Recognition:

🧠 IEEE Transactions on AI

📡 Mobiquitous, 🌍 IEEE IoT Journal, 

📊 Patterns Journal, 📱IEEE Consumer Electronics

📖 Book: "Foundations of Blockchain: Theory and Applications"

Our research focuses on enhancing the resilience and efficiency of critical infrastructures to withstand and recover from natural disasters through intelligent, distributed, and resource-optimized strategies. This research contributes to building intelligent, adaptive, and disaster-resilient infrastructures, ensuring efficient recovery, minimal disruption, and long-term sustainability. Key areas include:

⚡ Optimal Resource Allocation – Efficient use of resources to maintain stability and performance.
🧠 Distributed Decision-Making –Enabling autonomous, collaborative responses across networks.
🏗️ Affected Infrastructure Identification – Detecting and assessing compromised systems.
🔒 Infrastructure Isolation – Securing and containing affected regions to prevent cascading failures.

📄 Publications:

🔒Security of Cyber-Physical Sys. 📡 ICC, 🌱SusTech, ⚡PES GM 📱IEEE Consumer Electronics