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Medical Imaging for Global Health TechnologY MIGHTY Lab

MIGHTY Lab Receives NVIDIA Academic Research Grant!

News: December 15, 2025

The MIGHTY Lab has received support from the NVIDIA Academic Grant Program, including 32,000 A100 80GB GPU hours, to advance research in AI-driven ultrasound and medical imaging.

Md Ashikuzzaman, PhD

Person:

Dr. Md Ashikuzzaman (Preferred name: Ashik, he/him) is an Assistant Professor of Electrical and Computer Engineering at the University of Missouri–Kansas City (UMKC) and the Founding Director of the Medical Imaging for Global Health TechnologY (MIGHTY) Lab. His research focuses on computational...

MIGHTY Lab Receives UMKC FFE Award!

News: December 04, 2025

Our research proposal on AI-driven ultrasound elastography has been selected for funding through UMKC’s 2025-2026 Funding for Excellence (FFE) program. We look forward to advancing this work!

Positions

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We are always looking for motivated students and researchers to join the MIGHTY Lab. If you are passionate about medical imaging, signal processing, optimization, or AI-driven healthcare technologies, we encourage you to apply. Please send your CV, academic transcripts, and a half-page statement of...

Journal paper accepted to be published in IEEE TUSON!

News: January 01, 2026

Congratulations to Prof. Ashik and collaborators on the acceptance of their paper, AutoSOUL: Deep Convolutional Neural Network for Autonomous Selection of Ultrasound Speckle Tracking Parameters, in IEEE Transactions on Ultrasonics (TUSON). This work introduces AutoSOUL, a deep learning-based...

Welcoming new members to the MIGHTY Lab!

News: January 09, 2026

We are excited to welcome our new members to the MIGHTY Lab! Please join us in welcoming PhD students Aye Thein Maung and Protoye Kumar Mohanta, and MS student Md Moinul Azim. We look forward to their contributions and wish them a successful and rewarding journey in the lab!

AutoSOUL: Deep Convolutional Neural Network for Autonomous Selection of Ultrasound Speckle Tracking Parameters

Publication: Journal Article

Ashikuzzaman, Md, MD Jahin Alam, Ahmed El-Desoky, Eniola Oluyemi, Kelly Myers, Emily Ambinder, and Muyinatu A. Lediju Bell. 2026. “AutoSOUL: Deep Convolutional Neural Network for Autonomous Selection of Ultrasound Speckle Tracking Parameters”. IEEE Transactions on Ultrasonics, 1-1.