Category: Research Projects
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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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MCREU 2026: 2 Students Successfully Completed MCREU Research Projects; Dhruv Earns Peer Review Excellence Award
Two undergraduate researchers from the Data-Driven Decision Making (D3M) Lab successfully completed their projects through Penn State’s Multi-Campus Research Experience for Undergraduates (MCREU) program, culminating in research presentations, technical reports, and publication of their project summaries on the MCREU website. The projects span two of the D3M Lab’s core research areas: Biomedical Image Segmentation and…
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Dr. Sayed Reza Selected for UA AZ-PRIME 2026/2027 Cohort and Presents D3M Lab Research
Dr. Sayed Reza participated in the Arizona Approaches to Pandemics, Lung and Sleep (AZ-PRIME AAPLS) 2026/2027 Cohort Summer Institute hosted by the University of Arizona. Dr. Reza was selected for the competitive faculty development program, which supports early-career researchers pursuing interdisciplinary research in Health research. During the Summer Institute, Dr. Reza presented “From Data to…
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Thermal Camera and Imaging AI/ML Classification
This project develops AI and machine learning models for analyzing thermal and visual imaging data to enable accurate classification and detection of anomalies. It focuses on non-invasive sensing techniques for applications such as defect detection, monitoring, and predictive analytics in real-world environments.
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Biomedical Image Segmentation
This project focuses on developing advanced machine learning and computer vision techniques for accurate segmentation of biomedical images, including 2D and 3D datasets. The goal is to enable automated extraction of anatomical structures to support scientific discovery, clinical decision-making, and large-scale biological data analysis.
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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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2026 EnvironMentor Symposium: High School Students Yemi and Alexander Presented their Research
Two high school students, Yemi and Alexander, completed a five‑month research experience with the Data‑Driven Decision Making (D3M) Lab as part of the 2026 EnvironMentor Program. Guided by Dr. Sayed Mohsin Reza and undergraduate mentor Pranshav Lakhia, the students engaged in hands‑on, data‑driven research focused on real‑world challenges spanning environmental and sustainability domains. At the…
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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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Five Lab Students Present Research at Penn State Undergraduate Exhibition 2026
5 Members of the Data‑Driven Decision Making (D3M) Lab presented four research projects at the Penn State Undergraduate Exhibition 2026, held at University Park. This annual exhibition showcases innovative undergraduate research from across the university, featuring hundreds of student projects spanning engineering, health sciences, and interdisciplinary fields. The presented projects highlight the breadth of data‑driven…
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Open Inquiry, Open Data: D3M Lab Research Presented at AERA 2026
Dr. Sayed Reza presented new research at the 2026 American Educational Research Association (AERA) Annual Meeting in Los Angeles. The presentation, “Open Inquiry on Open Government Data: A Data‑Driven Approach in Computer Science Education for Civic Engagement,” was featured in a structured poster session focused on how data science can support civic learning across disciplines.…