Welcome 

📢 News:

2025

🕒 On August 14, 2025, Mr. Rafi’s second journal article, titled “Building Experimental Twins Between Low and High Voltage Inverters Based on a Novel Per-Unit and Time-Angular Domain Conversion Technique,” was accepted for publication in IEEE Transactions on Power Electronics (SJR: Q1; Impact Factor: 6.5; CiteScore: 15.3), based on his doctoral research.

🔗 Article

2024

🕒 On May 24, 2024, the first journal article, titled “Deep Weighted Fusion Learning (DWFL)-Based Multi-Sensor Fusion Model for Accurate Building Occupancy Detection,” was accepted for publication in Energy and AI (SJR: Q1; Impact Factor: 9.6; CiteScore: 16.5), based on his doctoral research. 

🔗 Article

2023

🕒 On August 23, 2023, following the completion of his previous project, he joined the Renewable Energy Systems Laboratory (RESyL) as a Graduate Research Assistant on a U.S. Department of Energy (DOE)-funded project titled “Techno-Economic Analysis to Demonstrate Ways to Use Older EV Batteries, Extending Their Usable Life and Reducing Their Carbon Footprint While Lessening Demands on Power Grids.” 

🔗 Renewable Energy Systems Laboratory (RESyL)

🔗 Project

2022

🕒 On August 16, 2022, he began serving as a Graduate Teaching Assistant in the Department of Electrical and Computer Engineering at The University of Alabama, where he led microcontroller and digital logic design labs using MPLAB and Quartus software, earning excellent student feedback. 

2021

🕒 On August 16, 2021 (Fall 2021), he began his Ph.D. in Electrical Engineering at The University of Alabama, Tuscaloosa, AL, as a Graduate Research Assistant in the Sensors, Signals, and Security (3S) Lab. His research project, funded by the U.S. Department of Energy (DOE), focuses on quantifying HVAC energy and power savings by utilizing innovative and reliable laboratory testing methodologies to sense building occupancy. 

🔗 Sensors, Signals, and Security (3S) Laboratory

🔗 Project

🕒  On May 14, 2021, he earned his M.S. in Computer Science from Southern University and A&M College, Baton Rouge, LA, USA. 

🕒 On March 13, 2021, he received the Best Paper Presentation Award for his article “Machine Learning-Based Anomaly Detection in IoT Networks” at the 95th Annual Conference of the Louisiana Academy of Sciences (LAS), held at Louisiana Tech University, Ruston, LA, USA.  

🔗 Article

2020

🕒 On November 9, 2020, his article “Yield Strength Prediction of High-Entropy Alloys Using Machine Learning,” based on his M.S. research project, was accepted for publication in Materials Today Communications (Elsevier; SJR: Q2; Impact Factor: 3.662). 

🔗 Article

🕒 On January 15, 2020 (Spring 2020), he began his M.S. in Computer Science at Southern University and A&M College, Baton Rouge, LA, as a Graduate Research Assistant in the High-Performance Computing (HPC) Lab. His research project, funded by the U.S. Department of Defense (DOD), focused on developing conventional machine learning-based simulations of novel high-entropy alloys to predict their properties, with validation through laboratory experiments. 

🔗 High-Performance Computing (HPC) Laboratory

🔗 Project

2019

📍The article “Prior Generation of Transport Blocks to Expedite HARQ Retransmissions and Uplink Transmissions Improving Latency in LTE,” based on his B.S. research project, was accepted for presentation at the IEEE 5th International Conference on Computer and Communications (ICCC), held on December 6–9, 2019, in Chengdu, China. 

🔗 Article

2017

🕒  On November 15, 2017, he earned his B.S. in Electrical and Electronic Engineering from the Islamic University of Technology, Dhaka, Bangladesh.