Author: Sayed Mohsin Reza
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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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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.…
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Two Lab Students Receive MCREU for Summer 2026
Two students from the Data‑Driven Decision Making (D3M) Lab have been selected for the Multi‑Campus Research Experience for Undergraduates (MCREU) program for Summer 2026, recognizing their strong research potential and contributions to data‑driven interdisciplinary projects. Dhruv Sanghavi will work on deep learning‑based 3D segmentation of zebrafish morphology, using a 3D U‑Net model to automate biological…