Author: Sayed Mohsin Reza
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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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Dr. Sayed Reza Leads CS Workshop in 2026 STEM Summer Enrichment Program
As part of the 2025 STEM Summer Enrichment Program held from June 16–27, 2025, Dr. Sayed Mohsin Reza led two hands-on workshops titled “Computer Science: Programming & Algorithms (Part 1 & 2)”, designed to introduce high school students to core programming and algorithmic thinking. Organized under the theme STEM—Shaping the Future!, the program offered students…
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Open Data, Data Democratization for Decision-Making
This project focuses on leveraging open data and equitable data access to enable transparent, inclusive, and informed decision-making. It emphasizes building frameworks and tools that transform diverse datasets into actionable insights for research, policy, and societal impact.
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Energy, Electricity Market & AI/ML Forecasting
This project focuses on applying AI and machine learning techniques to analyze and forecast energy demand, electricity prices, and market trends. It aims to support smart grid optimization, improve energy efficiency, and enable data-driven decision-making in modern power systems.
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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…