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Throughout my academic journey, I've published research demonstrating my expertise in AI, machine learning, and their applications across multiple domains. My work reflects my commitment to developing innovative solutions for real-world challenges.

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Agricultural Intelligence

My recent research focuses on intelligent soil assessment and irrigation optimization:

• "A Novel Framework for Farm Irrigation Optimization via GPR-based Intelligent Multi-Layered Subsurface Soil Moisture Assessment" (IEEE Transactions on AgriFood Electronics, 2024)

• "Intelligent Soil Subsurface Characterization via Realistic GPR Data Emulation and Transformation" (Submitted to IEEE Transactions on AgriFood Electronics, 2025)

IoT & Trust Frameworks

My work on trust evaluation in IoT networks demonstrates my expertise in network security and game theory:

• "Phoenix: IoT Trust Evaluation Using Game Theory with Second Chance Protocol" (International Conference on Internet of Things: Systems, Management and Security, 2023)

• "Enhanced Trust in IoT Environments: Utilizing Perfect Bayesian Equilibrium, Exponential Smoothing, and Machine Learning" (International Conference on Internet of Things: Systems, Management and Security, 2024)

Biomedical Applications

I've applied machine learning techniques to medical imaging challenges:

• "Phantom Tumor Tracking in Dual-Energy Fluoroscopy using a Kalman Filter" (International Conference on Bioinformatics and Biomedicine, 2020)

• "Image Processing in Bridging Human Intelligence and Artificial Intelligence" (Book Chapter, Springer Nature, 2020)

Cloud Computing

My expertise extends to resilience methods in distributed systems:

• "Toward Resilience Methods in Cloud Computing" (International Conference on Computer Systems and Applications, 2021)

Research Impact

My publications demonstrate technical expertise in:

• AI model design and implementation for sensor data analysis

• Game theory applications in network security

• Kalman filtering for motion tracking

• Machine learning for prediction and classification

• Data synthesis and augmentation techniques

Each project showcases my ability to apply theoretical knowledge to practical challenges, delivering measurable improvements in efficiency, accuracy, and reliability across diverse domains.