معرفی
George Km is a Professor of Computer Science at Oklahoma State University, affiliated with the Department of Computer Science since 1994. He holds a Ph.D. in Mathematics from Stony Brook University. His research focuses on quantum computing, big data analytics, social media analysis, and algorithm design. He has led numerous grants, including projects on quantum sensor data prediction, big data education, and Hadoop optimization. Notable contributions include work on quantum circuit algorithms, predictive analytics using Twitter data, and entropy-based veracity models.
Teaching responsibilities include courses such as Formal Language Theory, Quantum Algorithms, and Numerical Methods. He has designed advanced special topics courses in quantum computing and big data. His work integrates theoretical concepts with practical applications in finance, healthcare, and social networks. Grants funded by the National Science Foundation (CISE) and industry partners demonstrate his impact in computational science and education.
Publications span quantum automata, machine learning for financial modeling, and data reduction techniques. His research emphasizes interdisciplinary approaches, addressing challenges in algorithmic efficiency, data veracity, and computational infrastructure optimization. He advises on graduate courses and contributes to curriculum development in emerging technologies.
