Sanjeev Panta
PhD Researcher in Computer Science
University of Louisiana at Lafayette
PhD Researcher in Computer Science
University of Louisiana at Lafayette
I am a PhD candidate in Computer Science at the University of Louisiana at Lafayette, working under the guidance of Dr. Li Chen. My research focuses on Deep Learning, Time Series Analysis, Multi-modality, Computer Vision, and Federated Learning.
With expertise in developing models for hydrological and rainfall predictions, I am passionate about applying machine learning techniques to solve real-world problems, particularly in environmental monitoring and forecasting.
I am actively engaged in mentoring undergraduate and master's students in research, and I have professional experience as a software engineer in the industry.
Developing advanced deep learning models for environmental monitoring, focusing on hydrological and rainfall predictions for Louisiana, USA.
Creating novel time series forecasting approaches, including the Pseudoformer: a Pseudo AutoCorrelation-Attention Mechanism for enhanced prediction accuracy.
Exploring fair and efficient federated learning approaches through projects like FedFair3 and SEAFL to enable collaborative model training while preserving data privacy.
Applying computer vision techniques to environmental monitoring and medical imaging problems, including radar nowcasting and skin cancer classification.
IPDPS'25
Under Submission
Under Submission
An educational environmental game focused on the preservation of Louisiana's wetlands. Inspired by CWPPRA, players control invasive nutria rats and restore native vegetation, learning about wetlands preservation and coastal stewardship.
Forecasting the stream gage heights of the Comite River in Louisiana using State-of-the-Art Time Series Forecasting models, including Transformer based models.
Generating future Radar Images for Precipitation using State-of-the-Art models, including Diffusion based models.
Generating written music from audio files using deep learning.
Music Recognition application to identify recently heard and unrecognized songs.
Android application for Ride Sharing Services including both two and four wheelers.
Generating song lyrics using Neural Networks. Implemented multiple machine learning models including LSTM, GNN, and GRU for creative text generation.
Admin Panel and API for a Financial Institution. Created a comprehensive back-end solution with secure authentication and database integration.
Aug 2022 – Present
University of Louisiana at Lafayette
Aug 2022 – May 2023
University of Louisiana at Lafayette
Feb 2021 – Aug 2022
Cotiviti Nepal Pvt. Ltd.
Nov 2019 – Jan 2021
FOCUSONE Payment Solution
CMPS 261: Advanced Data Structures and Software Engineering
Fall 2022, Spring 2023
Clinton Akalazu
Spring 2023 - Summer 2023
Time Series Forecasting using Machine Learning
Jatin Patel
Fall 2023 - Spring 2024
Time Series Forecasting using Machine Learning
Leistat J Connor
Summer 2025
Time Series Forecasting in Federated Setting
2025-26
2023, 2024
Spring 2023
2022-Present
Undergraduate Second Semester
2015-2019
Lafayette, LA 70501