Category: Machine Learning
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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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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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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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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:…
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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…
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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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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…
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Lab Member Akintaro, Pranav and Lasya Present at Penn State 2025 ICDS Poster Symposium
Three Lab members recently showcased their research at 2025 ICDS Poster Symposium. 1. Enhancing Predictive Maintenance in Power Distribution Networks Presenter: Akintaro Akinwale, PhD StudentTitle: Enhancing Predictive Maintenance Strategies in Power Distribution Network using Fault Pattern Analysis with Association Rule MiningThis research introduces a novel approach to predictive maintenance by leveraging fault pattern analysis combined…
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Lab Member Pranshav and Yeganeh Present at UPENN NRC & MIT URTC
Two Lab members recently showcased their research at national undergraduate conferences. One student, Pranshav, presented at the National Research Conference @ UPenn on Detecting Mild Cognitive Impairment Using Machine Learning, engaging with leading researchers and keynote speakers. LinkedIn Post: https://www.linkedin.com/posts/pranshav-lakhia_this-weekend-i-had-the-amazing-opportunity-activity-7383525049011712000-kchU?utm_source=share&utm_medium=member_desktop&rcm=ACoAAA2g3vQBUbXEpMvmJ3SQXhW7yGajidflJ9c Another student Yeganeh presented at the MIT Undergraduate Research Technology Conference (URTC), sharing her work…