Publications
Explore our faculty and student research contributions to academia and industry
Research Database
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Deep Learning Approaches for Real-Time Object Detection in Autonomous Vehicles
This paper presents a novel deep learning architecture for real-time object detection specifically designed for autonomous vehicle applications. The proposed method achieves 95% accuracy with processing speeds of 60 FPS on embedded systems.
5G Network Optimization Using AI-Based Resource Allocation
We propose an AI-based framework for dynamic resource allocation in 5G networks that improves network efficiency by 40% compared to traditional methods. The system uses reinforcement learning to adapt to varying network conditions.
Energy-Efficient Heat Exchanger with Nano-coating Technology
A novel heat exchanger design incorporating nano-coating technology that improves thermal efficiency by 35% while reducing energy consumption. The innovation has applications in HVAC systems and industrial cooling processes.
Advanced Biofuel Production Techniques: A Comprehensive Review
This chapter provides a comprehensive overview of current and emerging biofuel production technologies, including microalgae-based systems, enzymatic conversion, and thermochemical processes. Special emphasis on economic viability and environmental impact.
Sustainable Concrete Mixtures Using Industrial Waste Materials
Investigation of concrete mixtures incorporating fly ash, slag, and recycled aggregates. Results demonstrate comparable strength properties with 30% reduction in carbon footprint compared to conventional concrete.
Blockchain-Based Supply Chain Management for Healthcare Industry
A blockchain framework for transparent and secure pharmaceutical supply chain management. The system ensures drug authenticity and prevents counterfeiting through immutable record-keeping and smart contracts.
Smart Grid Integration with Renewable Energy Sources: Challenges and Solutions
This paper addresses technical challenges in integrating solar and wind energy into smart grids. Proposes adaptive control strategies for maintaining grid stability with high penetration of renewable energy sources.
AI-Powered Intrusion Detection System for IoT Networks
An intelligent intrusion detection system utilizing machine learning algorithms for real-time threat detection in IoT environments. The system achieves 99.2% accuracy with minimal false positives.
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