Data Science Blog

Dr. Vajira Manathunga from MTSU’s Department of Mathematical Sciences talks about some of his work on applying LLM’s in actuarial science. His work compares the results from LLM to NLP pipelines. Workers’ compensation insurance is one of the oldest social insurance programs in the United States, predating both Social Security and unemployment insurance. When disputes…

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Dr. Junlin Ou from MTSU’s Department of Engineering Technology presents a series of studies on real-time edge computing for autonomous systems, focusing on algorithmic development and hardware implementation for intelligent robotic applications. The research encompasses indoor positioning, path planning, and real-time decision-making in dynamic environments. A recent highlight is the development of a GPU-enabled evolutionary…

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Data Science at Middle Tennessee State University is excited to announce the launch of a forward-looking undergraduate certificate: Using Artificial Intelligence (AI). Designed for students eager to explore the transformative power of AI, this 10-credit hour program provides hands-on experience and practical skills that will serve students across a wide range of disciplines and career…

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MTSU Computational and Data Science student, Paul Klockenkemper’s work explores approaches for moldeling complex dynamic systems using ODE. West Nile Virus (WNV) is a mosquito-borne arbovirus with significant ecological and public health implications. It is maintained primarily through a transmission cycle involving avian hosts and mosquito vectors. Host diversity, competence, and demographics, as well as…

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Dr. Keith Gamble is the Weatherford Chair of Excellence Chairperson and a Professor of Finance in the Jones College of Business. Year joined MTSU: 2016  Data Science Involvement at MTSU  Dr. Gamble leads the MTSU AI Initiative. He developed DATA 1010- Artificial Intelligence in Action  Why Data Science?  Before the phrase “data science” was used, Dr. Gamble was trained as…

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MTSU Computational and Data Science Ph. D. student Nada Srour presents some of her work that explores approaches for optimizing heterogeneous neural networks in machine learning. Heterogeneous graph neural networks (HGNNs) are critical for modeling multi-relational data in domains such as recommender systems, biological networks, cybersecurity, and citation analysis. These graphs encode diverse node and edge…

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Dr. Ramchandra Rimal, Department of Mathematics, will briefly discuss research that synthesizes advanced statistical network modeling and deep learning (DL) to analyze complex datasets in financial and medical domains. We’ll begin by exploring the theoretical foundations of statistical network analysis, including the Popularity Adjusted Block Model (PABM) and Sparse Subspace Clustering (SSC), for enhanced community…

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In this panel discussion, three CDS students will share their experiences securing internships during the summer of 2025. Abigail Kelly worked at Los Alamos National Laboratory, Yousef Khaliq at Experian, and Yuan Chen at the EDF Innovation Lab. Each of them made strong contributions and was well-received by their host organizations, demonstrating the value our…

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Data Science at Middle Tennessee State University is thrilled to announce three new courses, each offering unique topics in one of today’s most important and fast-evolving fields. These courses are designed to not only expand students’ technical skills but also deepen their critical thinking and global awareness. Whether you’re a first-year student exploring data for…

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John Wallin, CDS Program, MTSU. In the last 3 years, we have seen unprecedented progress in the capabilities of large language models.  Over the summer, there have been significant improvements in the mathematical capabilities of LLMs, with two models achieving gold medal status on the International Math Olympiad. There has also been rapid progress in the development…

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