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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

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 an Associate Scientist in the Comprehensive Cancer Center, and director of ANRY lab at the UAB. He is the author of over 50 peer-reviewed research articles and book chapters on robust control, machine learning, 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 it to machine learning can help understanding 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
  • Modern Control Theory
  • Computer Vision
  • Neural Time Series Data Analysis

Select Publications

  • A. Nakhmani, "Modern Control: State-Space Analysis and Design Methods," McGraw Hill, 2020. ISBN-13: 978-1260459241
  • 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.
  • S.P. Bhatt, S. Bodduluri, V. Raghav, N. Bhakta, C.G. Wilson, Y. Kim, M. Eberlein, F.C. Sciurba, M.K. Han, M.T. Dransfield, A. Nakhmani, "The Peak Index: A Novel Spirometry Metric for Airflow Obstruction Severity and Heterogeneity," Annals of the American Thoracic Society Journal, 16(8), pp. 982-989, 2019.
  • K. Elzaafarany, M.H. Aly, G. Kumar, A. Nakhmani, "Cerebral Artery Vasospasm Detection using Transcranial Doppler Signal Analysis," Journal of Ultrasound in Medicine, 38(8), pp. 2191-2202, 2019.
  • G. Rocque, P. Kandhare, C. Williams, A. Nakhmani, A. Azuero, M. Burkard, A. Forero, S. Bhatia, K. Kenzik, "Visualization of Sequential Treatments in Metastatic Breast Cancer," JCO Clinical Cancer Informatics Journal, Volume 3, pp. 1-8, 2019.
  • K. Elzaafarany, G. Kumar, A. Nakhmani, "Transcranial Doppler Based Modeling of Hemodynamics using Delay Differential Equations," Signal, Image and Video Processing, 13(4), pp. 667–673, 2019.
  • S.P. Bhatt, N. Bhakta, C.G. Wilson, C. Cooper, I. Barjaktarevic, S. Bodduluri, Y. Kim, M. Eberlein, P.G. Woodruff, F.C. Sciurba, M.K. Han, M.T. Dransfield, A. Nakhmani, "New Spirometry Indices for Detecting Mild Airflow Obstruction," Springer Nature - Scientific Reports, 8(1):17484, 2018.
  • C.P. Travers, W.A. Carlo, A. Nakhmani, S. Bhatia, S.J. Gentle, V.A. Amperayani, P. Indic, I. Aban, N. Ambalavanan, "Environmental or Nasal Cannula Supplemental Oxygen for Preterm Infants: A Randomized Cross-Over Trial," Journal of Pediatrics, Volume 200, pp. 98–103, 2018.

Academic Distinctions and Professional Societies

  • Member of National Center for Faculty Development and Diversity
  • Winning team of the "Dream Phase" of 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 IEEE Control Systems Society
  • Member of SPIE
  • Member of IEEE Computational Intelligence Society