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Associate Professor This email address is being protected from spambots. You need JavaScript enabled to view it.
BEC 261D
(205) 975-0801

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

Office Hours: By appointment


  • 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 an Associate Scientist in the Comprehensive Cancer Center, and director of ANRY lab at the UAB. He is the author of over 90 peer-reviewed research articles and book chapters on robust control, machine learning, and signal and image analysis.

  • Research Interests

    My lifelong interest in creating intelligent machines, which 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 in 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 Department 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. My aim is 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
      • J.W. Olson, C.L. Gonzalez, S. Brinkerhoff, M. Boolos, M.H. Wade, C.P. Hurt, A. Nakhmani, B.L. Guthrie, H.C. Walker, ”Local anatomy, stimulation site, and time alter directional DBS impedances,” Frontiers in Human Neuroscience, 2022.
      • P.G. Kandhare, A. Nakhmani, N.M. Sirakov, ”Deep Learning for Location Prediction on Noisy Trajectories,” Pattern Analysis and Applications, 2022.
      • A. Nakhmani, J.W. Olson, Z.T. Irwin, L.J. Edwards, C.L. Gonzalez, M.H. Wade, S.D. Black, M.Z. Awad, D.J. Kuhman, C.P. Hurt, B.L. Guthrie, H.C. Walker, ”Cortical and STN Spectral Changes During Limb Movements in PD Patients with and without Dystonia,” Movement Disorders, 37(8), pp. 1683-1692, 2022.
      • S.P. Bhatt, S. Bodduluri, A. Nakhmani, Y. Kim, J. Reinhardt, E.A. Hoffman, A. Motahari, S.M. Humphries, E. Regan, D.L. DeMeo, ”Sex Differences in Airways: Implications for Chronic Obstructive Pulmonary Disease,” Radiology, 2022.
      • V.V. Shukla, AKM F. Rahman, X. Shen, A. Black, A. Nakhmani, N. Ambalavanan, W.A. Carlo, ”Trends in Maternal Outcomes During the COVID-19 Pandemic in Alabama From 2016 to 2021,” JAMA Network Open, 5(4):e222681, 2022.
      • L.H. Antoine, R.P. Koomullil, T.M. Wick, A. Nakhmani, ”Optimization of Catheter Placement for Convection-Enhanced Delivery to Brain Tumors,” F1000Research, 10:18, 2021.
      • S.P. Bhatt, S. Bodduluri, A.K. Puliyakote, E.C. Oelsner, A. Nakhmani, D.A. Lynch, C.G. Wilson, S. Fortis, V. Kim, ”Structural Airway Imaging Metrics are Differentially Associated with Persistent Chronic Bronchitis,” Thorax Journal, 76(4):343-349, 2021.
      • [8] M.Z. Awad, R. Vaden, Z.T. Irwin, C.L. Gonzalez, S.D. Black, A. Nakhmani, B.C. Jaeger, J.N. Bentley, B.L. Guthrie, H.C. Walker, ”Subcortical short-term plasticity elicited by deep brain stimulation,” Annals of Clinical and Translational Neurology, 2021.
      • S. Bodduluri, A.K. Puliyakote, A. Nakhmani, J-P. Charbonnier, J.M. Reinhardt, S.P. Bhatt, "CT-based Airway Surface Area-to-Volume Ratio for Phenotyping Airway Remodeling in Chronic Obstructive Pulmonary Disease," American Journal of Respiratory and Critical Care Medicine, 2020.
      • S. Bodduluri, A. Nakhmani, J.M. Reinhardt, C.G. Wilson, M-L. McDonald, R. Rudraraju, B.C. Jaeger, N.R. Bhakta, P.J. Castaldi, F.C. Sciurba, C. Zhang, P.V. Bangalore, S.P. Bhatt, "Deep Neural Network Analyses of Spirometry for Structural Phenotyping of Chronic Obstructive Pulmonary Disease," JCI Insight, 2020.
      • G.B. Rocque, A. Gilbert, C.P. Williams, K.M. Kenzik, A. Nakhmani, P.G. Kandhare, S. Bhatia, M.E. Burkard, A. Azuero, "Prior Treatment Time Impacts Survival Outcomes in Metastatic Breast Cancer," JCO Clinical Cancer Informatics, Volume 4, pp. 500-513, 2020.
      • Z.T. Irwin, M.Z. Awad, C.L. Gonzalez, A. Nakhmani, J.N. Bentley, T.A. Moore, K.G. Smithson, B.L. Guthrie, and H.C. Walker, "Latency of subthalamic nucleus deep brain stimulation-evoked cortical activity as a potential biomarker for postoperative motor side effects," Clinical Neurophysiology, 131, pp.1221-1229, 2020.
  • Academic Distinctions and Professional Societies
    • 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
    • Member of SPIE
    • Member of IEEE Computational Intelligence Society