Submission information
Submission Number: 201
Submission ID: 5259
Submission UUID: fa999e14-73fa-49b9-ae88-4e30ed303ec5
Submission URI: /form/project
Created: Tue, 04/22/2025 - 11:37
Completed: Tue, 04/22/2025 - 11:37
Changed: Tue, 04/22/2025 - 11:38
Remote IP address: 131.128.76.34
Submitted by: Gaurav Khanna
Language: English
Is draft: No
Webform: Project
Project Title: LLMs in Time Series Forecasting
Program:
CAREERS (323)
Project Image: {Empty}
Tags:
ai (271), artificial-intelligence (884), llm (837), machine-learning (272)
Status: In Progress
Project Leader
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Project Leader:
Drew Zhang
Email: zhuzhang@uri.edu
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Project Personnel
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Mentor(s):
Murat Aydogdu (1738)
Student-facilitator(s):
Naresh Chethala (44757)
Mentee(s):
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Project Information
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Project Description:
Time series forecasting predicts future values based on past data, helping in decision-making for businesses, finance, and science. Conventional models struggle with long-term dependencies, missing data, and adapting to large, complex datasets. LLMs excel by capturing deeper relationships, handling vast data, and making more flexible, accurate predictions.
This project bridges the gap by combining the reliability of traditional models with the power of LLMs for smarter, more scalable forecasting.
Project Information Subsection
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Project Deliverables:
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Student Research Computing Facilitator Profile:
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Mentee Research Computing Profile:
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Student Facilitator Programming Skill Level: Practical applications
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Project Institution: Western New England University
Project Address:
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Anchor Institution: CR-University of Rhode Island
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Start as soon as possible.: No
Project Urgency: Already behind3Start date is flexible
Expected Project Duration (in months): 8
Launch Presentation: https://support.access-ci.org/system/files/webform/project/5259/Naresh_Chethala_Careers_launch.pptx
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What will the student learn?:
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Final Report
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What is the impact on the development of the principal discipline(s) of the project?:
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