| Affiliations: | STEM Research Leadership |
| Project Leader: | Hussein Al Jebaei husseinaljebaei@tamu.edu Construction Science |
| Faculty Mentor: | Ashrant Aryal, Ph.D. |
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Meeting Times:
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Online on weekly basis and in-person on biweekly basis – Time to be discussed |
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Team Size:
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4 |
| Open Spots: | 1 |
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Special Opportunities:
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The possibility of co-authorship on publications depending on performance and progress.
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Team Needs:
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EnergyPlus software for Task 1; Big Data and ML for Task 2. Students will work on 1 task only. Students can reach out and send resumes by email. |
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Description:
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Please note that the open spot is for Task 1. Team members for Task 2 have been recruited.
Our proposed research project has two main tasks, each requiring a unique set of skills and expertise. We are actively seeking passionate undergraduate students to join our team and contribute to each of these challenging and rewarding tasks. The students chosen for Task 1: Impact Analysis of High-Tech Materials on Energy and Carbon Footprint. This task aims at investigating the environmental impact of using high-tech materials for building envelopes on energy end-use and carbon footprint. For this task, we need students who are proficient in whole-building energy simulation tools, particularly EnergyPlus. Students majoring in Mechanical Engineering, Civil Engineering, or Architecture Engineering are ideally suited for this role. Task 2: Behavioral Big Data Analysis for Machine Learning The second task of our project focuses on leveraging behavioral big data. The goal is to train various machine learning algorithms to identify and understand routine behavior patterns over time. This is particularly crucial for managing thermal comfort in buildings. Students specializing in Computer Science, Data Science, Data Engineering and related fields with a strong foundation in machine learning and experience in programming languages like Python or R, are ideal for this task. |