Data Science Blog

Dr. Rimal is the advisor for the Graduate Certificate in Data Science and an Assistant Professor in Mathematical Sciences. Year joined MTSU: 2020  Data Science Classes Taught  DATA 3550 Applied Predictive Modeling  DATA 6990 Topics Seminar in Data Science  Data Science Involvement at MTSU  Developing data science courses, mentoring students, and participating/organizing events on machine learning and

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Computational and Data Science Ph.D student, Dongyu Liu, presents an overview of the open source Terraform framework. This system is a fascinating approach toward machine learning workflows, deployment, and provisioning of ML systems on both local and cloud resources.   This seminar introduces Infrastructure as Code (IaC) and discusses its relevance to data science research. Using Terraform as an example,

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Paul Klockenkemper, a Computational and Data Science doctoral student at MTSU, presents an update of his research on modeling host heterogeneity in the West Nile virus West Nile Virus (WNV) is a mosquito-borne arbovirus with significant ecological and public health implications. Its transmission cycle involves avian hosts and mosquito vectors. Many factors, including host diversity

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Yousaf Khaliq, a Computational and Data Science doctoral student at MTSU, presents an overview of his research and dissertation work in preparation for his final doctoral defense in the CDS program. This works presents a modular approach to using near-term quantum computing inside hybrid quantum–classical workflows that remain anchored to classical correctness guarantees and practical

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Dr. Shirley is the director of the Data Science Bachelor’s degree and an Associate Professor in the Department of Economics and Finance. Year joined MTSU: 2017 Data Science Involvement at MTSU  In addition to directing the BS in Data Science program, Dr. Shirley serves as the advisor of the Data Science Club. The club is

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Dr. Sal Barbosa, from MTSU’s Department of Computer Science, discusses the behavior of LLM in the analysis of financial markets. The intersection of artificial intelligence and finance has led to a surge of interest as Large Language Models (LLMs) have come on the scene and promise to automate decision-making in many tasks, including stock trading.

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Dr. Nkansah joined MTSU in 2024. DATA classes taught: DATA 1500, DATA 2025, DATA 3500, DATA 6320, DATA 6300, DATA 6310, DATA 6330 Home Department: Department of Economics and Finance Research Interests: Econometrics (Time Series), Financial Machine Learning, Machine Labor (Joshua D. Angrist), Labor and Development Economics Why pursue data science: Data Science isn’t just

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Dr. Henrique Momm from the Department of Geosciences will discuss some of the challenges driving Geoscience research. The talk will explore hydrological and environmental modeling and their application to geospatial data. Geosciences are undergoing a revolution, driven by massive, high-resolution datasets that fundamentally change how we study the Earth. This presentation will describe key datasets

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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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