Explore UAB

Colleges & Schools

Electrical and Computer Engineering School of Engineering

Arie Nakhmani

""

Associate Professor; Co-Director, Center for Integrated Systems  This email address is being protected from spambots. You need JavaScript enabled to view it.
EEC 261D
(205) 975-0801

Research and Teaching Interests: Signals and systems, computer vision, biomedical signal analysis, mathematical modeling, machine learning

Office Hours: By appointment

Education:

  • B.S., Technion - Israel Institute of Technology, Electrical Engineering (Signal Processing)
  • M.S., Technion - Israel Institute of Technology, Electrical Engineering (Robust Control)
  • Ph.D., Technion - Israel Institute of Technology, Electrical Engineering (Computer Vision)

Arie Nakhmani joined the Department of Electrical and Computer Engineering as an assistant professor in 2013. Prior to that, he completed his postdoctoral training at Georgia Tech and Boston University. He is a Co-Director of the Center for Integrated Systems, ECE Graduate Program Director, and Director of the ANRY research lab at UAB. He is the author of more than 150 peer-reviewed research publications and book chapters on robust control, machine learning, and signal and image analysis.

  • Research Interests

    My lifelong interest in creating intelligent machines that can mimic and surpass human thinking has always guided my choices in what topics to learn and what research to do. Working on problems ranging from robust control and drone navigation to computer vision, biomedical signal analysis, and machine learning might seem to be unconnected and random, but this is not so. Smart machines should be able to navigate through noisy and unpredictable environments, thus robust control is needed to handle uncertainty in the mechanical and electrical models and the environment. These machines should sense the environment; thus, computer vision is necessary.

    The human brain is the best example of real intelligence. Studying the signals recorded from a human brain and connecting them to machine learning can help understand both better. Presently, I am working with a group of brilliant scientists in the Neurology and Neurosurgery Departments trying to understand brain circuits. It would help me to understand how to create artificial mechanisms that could mimic intelligence, which is my ultimate goal.

    My present research program consists of three areas of study: biomedical signal analysis, computer vision, and machine learning. I aim to create mathematical tools (for example, using linear algebra, advanced geometry, topology, and statistics) that solve practical engineering problems in these areas.

  • Recent Courses
    • Signals and Systems
    • Team Design Project I
    • Modern Control Theory
    • Computer Vision
    • Neural Time Series Data Analysis
  • Select Publications

    Book

    • A. Nakhmani, "Modern Control: State-Space Analysis and Design Methods," McGraw Hill, 2020. ISBN-13: 978-1260459241

    Recent Journal Publications

    • C.P. Travers, R. Chahine, A. Nakhmani, I. Aban, W.A. Carlo, N. Ambalavanan, ”Control of Breathing in Preterm Infants on Incubator Oxygen or Nasal Cannula Oxygen,” Pediatric Research, 2024. https://rdcu.be/dQZR9
    • V.V. Shukla, L. Weaver, A. Singh, AKM. Rahman, A. Nakhmani, C. Travers, R. Sinkey, N. Arora, N. Ambalavanan, W. Carlo, Social distancing during the COVID-19 pandemic and neonatal mortality in the US,” JAMA Network Open, 7(7):e2422995, 2024.
    • S.P. Bhatt, S. Bodduluri, A. Nakhmani, E.C. Oelsner, ”Unadjusted Lower Limit of Normal for Airflow Obstruction,” American Journal of Respiratory and Critical Care Medicine, Volume 209, Issue 8, 2024.
    • A. Nakhmani, H. Brinyark, A. Singh, I.J. Yoon, R.J. Smith, ”Stability and Performance Analysis of Systems with Parameter Uncertainties Using Generalized D-Decomposition Method,” Communications in Optimization Theory, Vol. 2024, 35, pp. 1-13, 2024.
    • S.P. Bhatt, S. Bodduluri, A. Nakhmani, ”ERS/ATS Spirometry Interpretation Standards: A Gap in Grading Severity of Airflow Obstruction,” European Respiratory Journal, 63: 2301910, 2024.
    • A.A. Darwish, A. Nakhmani, ”Drone Navigation and Target Interception Using Deep Reinforcement Learning: A Cascade Reward Approach,” IEEE Journal of Indoor and Seamless Positioning and Navigation, Vol. 1, pp. 130-140, 2023.
    • S.P. Bhatt, A. Nakhmani, S. Fortis, M.J, Strand, E.K. Silverman, F.C. Sciurba, S. Bodduluri, ”FEV1/FVC Severity Stages for Chronic Obstructive Pulmonary Disease,” American Journal of Respiratory and Critical Care Medicine, 2023.
    • S.P. Bhatt, A. Nakhmani, C.G. Wilson, S. Bodduluri, ”Optimal Threshold of FEVt/FVC for Detection of Airflow Limitation Associated with Structural Lung Disease,” American Journal of Respiratory and Critical Care Medicine, 208(4), 2023.
    • P.R.A. Puchakayala, V. Sthanam, A. Nakhmani, F.A. Chaudhary, A.K. Puliyakote, J. Reinhardt, C. Zhang, S.P. Bhatt, S. Bodduluri, ”Radiomics for Improved Detection of COPD in Low-Dose and Standard-Dose Chest CT Scans,” Journal of Radiology, 307(5), 2023.
    • S.P. Bhatt, A. Nakhmani, N. Thimmegowda, V. Sthanam, C.G. Wilson, N. Bhakta, Y. Kim, S. Bodduluri, ”Parameter D: New Measure of Airflow Obstruction, ”Annals of the American Thoracic Society, 20(7), pp. 993–1002, 2023.
    • C. Travers, W.A. Carlo, A. Nakhmani, D.A. Laney, R.A. Chahine, I. Aban, N. Ambalavanan, ”Late Permissive Hypercapnia and Respiratory Stability among Very Preterm Infants: A Pilot Randomized Trial,” Archives of Disease in Childhood - Fetal and Neonatal Edition, 108(5), pp.530-534, 2023.
    • V.V. Shukla, AKM.F. Rahman, X. Shen, A. Black, N. Arora, C.V. Lal, E.F. Bell, A. Nakhmani, C. Zhang, N. Ambalavanan, W.A. Carlo, ”Trends in Fetal and Neonatal Outcomes During the COVID-19 Pandemic in Alabama,” Pediatric Research, 6, pp.1-6, 2023.
    • S. Gentle, C.P. Travers, A. Nakhmani, P. Indic, W.A. Carlo, N. Ambalavanan, ”Intermittent Hypoxemia and Bronchopulmonary Dysplasia with Pulmonary Hypertension in Preterm Infants,” American Journal of Respiratory and Critical Care Medicine, 207(7):899-907, 2023.
    • P.G. Kandhare, N. Ambalavanan, C.P. Travers, W.A. Carlo, N.M. Sirakov, A. Nakhmani, ”Comparison Metrics for Multi-Step Prediction of Rare Events in Vital Sign Signals,” Biomedical Signal Processing and Control, Volume 80, Part 2, 104371, 2023.
    • P.G. Kandhare, A. Nakhmani, N.M. Sirakov, ”Deep Learning for Location Prediction on Noisy Trajectories,” Pattern Analysis and Applications, Vol. 26, Issue 1, pp. 107-122, 2023.

  • Academic Distinctions and Professional Societies
    • Most Prolific Inventor of the year 2023, Bill L. Harbert Institute for Innovation and Entrepreneurship
    • American Epilepsy Society Member
    • American Thoracic Society Member
    • Associate Scientist in Comprehensive Cancer Center
    • Member of CNBCI, CLAIR, CNC, SSJR, and Vision Science UAB Centers
    • IEEE Senior Member
    • Member of the National Center for Faculty Development and Diversity
    • Winning team of the "Dream Phase" of the Association of Equipment Manufacturers (AEM) challenge, Infrastructure Vision 2050 Challenge
    • Member of GEO Huntsville UAS SOF Network
    • Member of IEEE Signal Processing Society