Signal and Image Analysis – UAB School of Engineering
Arie Nakhmani joined the Department of Electrical and Computer Engineering at UAB as an assistant professor in 2013. Prior to that, he completed his postdoctoral training at Georgia Tech and Boston University. He is an Associate Scientist in the Comprehensive Cancer Center and director of the ANRY lab at UAB. He is the author of over 50 peer-reviewed research articles and book chapters on robust control, machine learning, signal and image analysis.
 Bodduluri S, Puliyakote AK, Nakhmani A, Charbonnier J-P, Reinhardt JM, Bhatt SB. CT based Airway Surface Area to Volume Ratio for Phenotyping Airway Remodeling in Chronic Obstructive Pulmonary Disease. Am J Respir Crit Care Med [online ahead of print] 05 August 2020; https://www.atsjournals.org/doi/abs/10.1164/rccm.202004-0951OC.
This concise textbook (less than 200 pages) offers hands-on coverage of modern control system engineering while showing the best strategies for solving complex problems, providing self-evaluation questions, and step-by-step analysis and design procedures. Modern Control: State-Space Analysis and Design Methods book features start-to-finish design projects as well as online snippets of MATLAB code with simulations. The essential mathematics is presented along with fully worked-out examples in gradually increasing degrees of difficulty. Readers will receive a “just-in-time” math background from a comprehensive appendix and get step-by-step descriptions of the latest analysis and design techniques.
In the last decade, many different tools have been invented for evaluation of protein-protein interactions, which is important for understanding different diseases such as pneumonia. As part of big research on cell interactions, video sequences of hyperspectral images of the cells are taken and analyzed. The problem is that there is a huge amount of cells and images, and thus it is very hard to use manual segmentation and tracking.
The problem of liver fibrosis is widespread, and the need for objective tools for fibrosis detection and evaluation is obvious. In this research project, we are trying to provide tools for robust liver fibrosis staging, based on diffusion MRI image analysis.
We develop long-range UAVs that can carry small payloads of 4 pounds and fly 200-300 miles without recharging. The aircraft can be assembled on the fly and has a self-destruction mechanism for an emergency landing in hostile areas.
The Blazer-Marine is a prototype of a waterproof UAV that can be used in situations for river and sea. Its unique portable hardware design enables it to execute tasks in harsh environments. UABCL is designing an amphibian drone that can submerge in the water and operate up to 2 meters underwater.
In this project, we explore D-decomposition methods applied to control systems with uncertainties. We use a previously developed theory for Generalized Bode Envelopes to find a family of controllers which stabilizes an uncertain system. The approach is similar to classical D-decomposition methods and has been proven to be very useful in the design in the frequency domain. As part of this project, we apply the developed techniques to real-world control systems.
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