Tag: Publications
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D3M Lab Showcases Research and Service Leadership at the International SEET 2026 Conference
The Data-Driven Decision Making (D3M) Lab proudly participated in the Second International Conference on Software Engineering of Emerging Technologies (SEET 2026) held at Penn State Behrend in Erie, Pennsylvania. The conference brought together researchers, students, and practitioners from around the world to discuss emerging advances in software engineering, artificial intelligence, virtual reality, augmented reality, and…
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New Publication in IEEE Access Journal on AI-Based Emotion Recognition in Healthcare
The Data-Driven Decision Making (D3M) Lab is pleased to celebrate the publication of undergraduate researcher Yeganeh’s research paper, “Systematic Literature Review of Machine Learning Methods for Emotion Recognition Using EEG and Physiological Signals in Healthcare,” published through IEEE Access. This achievement represents the culmination of approximately 18 months of dedicated research, literature analysis, writing, revision,…
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New Publication in IEEE Data Descriptions Journal
Dr. Sayed Reza with Dr. Habib Ullah and other collaborators has published a new paper in IEEE, titled “Descriptor: Global Electricity Markets Load Forecasting and Planning Dataset (GloElecLoad)”. Read the paper: https://ieeexplore.ieee.org/document/11489469 This work introduces GloElecLoad, a comprehensive dataset designed to support research in electricity load forecasting, energy planning, and data‑driven decision making in global…
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New Publication at Results in Engineering Journal
A recent research study by D3M Lab members has been published in the journal Results in Engineering (Elsevier). The article, titled: “Comparative Analysis of Deep Learning Models for Defect Detection in Additive Manufacturing Using Thermal Imaging,” presents a comprehensive evaluation of multiple deep learning architectures for detecting defects in additive manufacturing processes using thermal imaging data.…
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New Publication and Best Paper Recognition at ICICC 2025 Conference
The Data-Driven Decision Making (D3M) Lab is pleased to announce that graduate student Sravani Malla received Best Paper recognition for her research titled “Enhancing Knowledge Base Completion for Long-tail Entities through Zero-shot Learning” at the 8th International Conference on Innovative Computing and Communication (ICICC 2025). The paper was subsequently published in the conference proceedings and…