Research Interests & Projects
My research spans multiple disciplines including wireless communications, statistical analysis, machine learning, and data processing. I focus on practical applications that can solve real-world problems and advance our understanding of complex systems.
Big Data Transmission & Wireless Networks
Primary research focus on Big Data transfer through multibeam antennae, involving matrix decompositions, data preservation, multibeam communication and graph theory.
Key Areas:
- Queuing models for high-throughput wireless networks
- Multi-hop data transmission optimization
- Network capacity planning and analysis
- Router queue management algorithms
Current Work: Developing optimal solutions for data transfer over multiple hops in wireless networks with massive data transfer capabilities.
Statistical Methods & Matrix Decomposition
Advanced statistical analysis techniques including PCA, ICA, and related factor analysis methods for various applications.
Research Focus:
- Perturbation properties of factor analysis
- QR decomposition vs SVD comparison studies
- Algorithm optimization for large-scale data
- Financial modeling applications
Notable Finding: S&P market analysis shows no single factor can provide reliable one-day-ahead prediction capabilities.
Image Retrieval & Machine Learning
Feature extraction and analysis for improved image recognition and retrieval systems.
Technical Approach:
- Scale Invariant Feature Transform (SIFT) optimization
- Non-negative Matrix Factorization (NMF) applications
- Independent Component Analysis (ICA) for feature analysis
- Feature redundancy identification and elimination
Applications: Bandwidth-constrained information retrieval systems and computer vision applications.
Computational Optimization & AI
Development of efficient algorithms for communication-constrained environments and AI applications.
Current Projects:
- Optimal Load Sharing (OLS) algorithms
- Communication-constrained computation environments
- Deep learning model optimization
- Cybersecurity applications in AI
Industry Collaboration: Voluntary consultant work on deep learning models with EH Group Inc. (2022-2023).
Research Impact & Collaboration
Academic Publications
Published in high-impact journals including Elsevier Signal Processing and Modeling and Simulation
Industry Applications
Practical implementations in wireless networks, financial modeling, and computer vision systems
Teaching Integration
Research findings incorporated into coursework for Statistics, Signals & Systems, and related subjects
Future Directions
Expanding into mobile app development, web technologies, and practical teaching tools
Interested in Collaboration?
I'm always open to discussing research opportunities, academic collaborations, or consulting projects.