Data Science MS student at Tuskegee University.

Research Areas

• Quantum machine learning
• Machine learning
• Time series forecasting
• Large language models
• Data analytics
• High performance computing

Recent updates

• Two manuscripts (one first author and one as second author) accepted in 2025 IEEE 15th Annual Computing and Communication Workshop and Conference (CCWC) at the University of Nevada, Las Vegas
• Manuscript accepted at the 7th Workshop on Benchmarking, Performance Tuning, and Optimization for Big Data Applications (BPOD 2024) as part of the IEEE Big Data conference
• Accepted for oral and poster presentation at American Geophysical Union Conference 2024 in Washington, D.C
• Presented at Alabama Higher Education AI exchange conference at Biggio Center at Auburn University, Auburn, AL, October 2024

Education

• M.SC. in Information Systems and Computer Security (Track - Data Science)
  • Tuskegee University, AL, USA [Expected Spring 2025]
• B.SC. in Computer Science and Engineering
  • American International University-Bangladesh (AIUB), Dhaka, Bangladesh, [2017-2021]

Projects

• Quantum vs. Classical Long Short Term Memory in Time Series Forecasting
• Groundwater Level Prediction: Analyzing the Performance of LSTM and QLSTM Model
• Evaluating LSTM Time Series Prediction Performance on Benchmark CPUs and GPUs
• Performance Benchmarking CNN and QCNN in Binary Classification Tasks

Work experience

• Fall 2023 - Spring 2025: Graduate Research and Teaching Assistant
  • Department of Computer Science, Tuskegee University
• Fall 2020: Graduate Teaching Assistant
  • Department of Computer Science and Engineering, AIUB

Funding

• Integrated Groundwater Management Project​ (NSF EPSCoR)