Edge and BioMedical Intelligence (EBMI) Laboratory

 

Welcome to EBMI Laboratory

We are a research group starting on September 01, 2024 and will be led by Dr. Md Maruf Hossain Shuvo in the Department of Electrical and Computer Engineering (ECE) at The University of Texas at El Paso (UTEP). With a multidisciplinary approach, our research develops artificial intelligence (AI) solutions for biomedical and healthcare challenges, translating algorithmic advancements into hardware design and experimental validation. In the translational effort for practical edge AI, we also delve into relevant hardware technologies, including CMOS integrated circuit design, emerging semiconductor devices, and the design of embedded digital systems for efficient AI acceleration.

 EBMI Laboratory Highlights

EBMI Lab Overview

Advances in machine learning (ML) algorithms have propelled AI across diverse sectors, including healthcare, agriculture, microelectronics, and cyber-physical systems, enabling task automation, predictive capabilities, and learned decision-making. However, computation-intensive AI techniques pose accessibility challenges, hindering widespread deployment. The research at EBMI laboratory seeks solutions, building compact deep learning (DL) model, algorithm-hardware co-design, and efficient AI acceleration on edge devices while ensuring explainability, privacy, and security.

UT System STARS Program Award

Dr. Shuvo has been awarded a $230,000 grant from the University of Texas (UT) System STARS program to establish a new research laboratory within the ECE department at UTEP. The lab will be operational starting September 2024.

EBMI Lab Facilities

The EBMI Lab will be a hub for cutting-edge research in applied AI for healthcare and beyond. As we ramp up in September, 2024, expect access to a rapidly growing suite of state-of-the-art facilities. These include powerful GPU workstations for deep learning, wearable sensor devices for data acquisition, edge computing platforms that accelerate AI development, and measurement facilities. We will also provide access to the latest software packages (e.g., Cadence, Vivado, Sentaurus TCAD, Matlab, etc.).

 

 

Contact Us: 1981 Hawthorne St, El Paso, TX 79902

Email: mhshuvo@utep.edu

Department of Electrical and Computer Engineering | The University of Texas at El Paso