Category: Research Projects
-
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.
-
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.
-
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…
-
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…
-
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.…
-
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…
-
D3M Lab Students Won Honors at the 2026 Central Pennsylvania Engineers Week Council Awards
We are thrilled to announce that two members of the Data Driven Decision Making (D3M) Lab, Sapan Shah and Harsh Desai, earned recognition at the Central Pennsylvania Engineers Week Council 2026 Undergraduate Research and Capstone Awards. At last evening’s prestigious Engineers Week Banquet, the following students were honored for their outstanding research contributions: Grand Recipient:…
-
Lab Members Pranav, Lasya Present Research at NCRC 2026
Lab members of the Data‑Driven Decision Making (D3M) Lab presented research at the National Collegiate Research Conference (NCRC) 2026, held at Harvard University and hosted by the Harvard Undergraduate Research Association (HURA). LinkedIn Post: https://www.linkedin.com/feed/update/urn:li:activity:7422450728159567873/ The presented work focused on day‑ahead electricity price forecasting using a hybrid CNN–BiLSTM–Attention deep learning model with automated hyperparameter tuning…
-
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.…
-
Lab Member Harsh Desai Presents Research at APS Mid-Atlantic Section Annual Meeting 2025
Harsh Desai, a member of the lab, recently presented his research at the APS Mid-Atlantic Section (MAS) 2025 Annual Meeting, held at Penn State Harrisburg in Middletown, PA. During the poster session, Harsh presented his work titled:“Cross-Continental Electricity Price Prediction Using Quantum AI.” This research explores the application of quantum-inspired artificial intelligence techniques to forecast…