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Noorbakhsh Amiri Golilarz

Noorbakhsh Amiri Golilarz

Assistant Research Professor

Office: 208 Butler Hall
Email: amiri@cse.msstate.edu
P 662.325.0528
Personal Home Page

Education

  • Postdoctoral Research Fellow, Computer Science, Boston College (BC), Massachusetts, USA, 2023
  • Ph. D., Electrical and Computer Engineering, Southern Illinois University Carbondale (SIUC), Illinois, USA, 2023
  • D. Eng., Computer Science and Technology, University of Electronic Science and Technology of China, Chengdu, China, 2021
  • M.S., Electrical and Electronic Engineering, Eastern Mediterranean University, Famagusta, Cyprus, 2017
  • B.S., Electrical Engineering, University of Guilan, Rasht, Iran, 2012

Research and Fields of Interest

  • Artificial Intelligence (AI)
  • Deep Neural Network
  • Machine Learning
  • Image Processing and Computer Vision
  • Image De-noising
  • Disease Diagnosis, Prediction, and Classification
  • CAPTCHA Recognition and Classification

Google Scholar

Selected Publications

  • R. Kumar, A. A. Khan, J. Kumar, N. A. Golilarz et al., "Blockchain-Federated-Learning and Deep Learning Models for COVID-19 Detection Using CT Imaging," IEEE Sensors Journal, vol. 21, no. 14, pp. 16301-16314, 15 July15, 2021, doi: 10.1109/JSEN.2021.3076767.
  • Golilarz, N.A., Gao, H., Pirasteh, S., Yazdi, M., Zhou, J., Fu, Y. "Satellite multispectral and hyperspectral image de-noising with enhanced adaptive generalized Gaussian distribution threshold in the wavelet domain." Remote Sensing, vol. 13, no. 1, pp. 1-16, 2021.
  • Khan, J., Li, J.P., Haq, A.U., Khan, G.A., Ahmad, S., Alghamdi, A.A., Golilarz, N.A. "Efficient secure surveillance on smart healthcare IoT system through cosine-transform encryption." Journal of Intelligent & Fuzzy Systems, vol. 40, no. 1, pp. 1417-1442, 2021.
  • Golilarz, N.A., Mirmozaffari, M., Gashteroodkhani, T.A., Ali, L., Dolatsara, H.A., Boskabadi, A., Yazdi, M. "Optimized wavelet-based satellite image de-noising with multi-population differential evolution-assisted harris hawks optimization algorithm." IEEE Access, vol. 8, pp. 133076-133085, 2020.
  • Golilarz, N.A., Gao, H., Kuma, R., Ali, L., Fu, Y., Li, C. "Adaptive Wavelet Based MRI Brain Image De-noising." Frontiers in Neuroscience, 2020, 14:728.
  • Ali, L., Wajahat, I., Golilarz, N.A., Keshtkar, F., Bukhari, S.A.C. "LDA-GA-SVM: improved hepatocellular carcinoma prediction through dimensionality reduction and genetically optimized support vector machine." Neural Computing and Applications, 2020.
  • Golilarz, N.A., Addeh, A., Gao, H., Ali, L., Roshandeh, A.M., Munir, H.M., Khan, R.U. "A New Automatic Method for Control Chart Patterns Recognition Based on ConvNet and Harris Hawks Meta Heuristic Optimization Algorithm." IEEE Access, vol. 7, pp. 149398-149405, Nov. 2019.
  • Ali, L., Khan, S., Golilarz, N.A., Imrana, Y., Qasim, I., Noor, A., Nour, R. "A Feature-Driven Decision Support System for Heart Failure Prediction Based on χ2 Statistical Model and Gaussian Naive Bayes." Computational and Mathematical Methods in Medicine, Nov. 2019.
  • Ali, L., Zhu, C., Golilarz, N.A., Javeed, A., Zhou, M., Liu, Y. "Reliable Parkinson's Disease Detection by Analyzing Handwritten Drawings: Construction of an Unbiased Cascaded Learning System based on Feature Selection and Adaptive Boosting Model." IEEE Access, vol. 7, pp. 116480-116489, Jul. 2019.
  • Golilarz, N.A., Gao, H., Demirel, H. "Satellite Image De-Noising with Harris Hawks Meta Heuristic Optimization Algorithm and Improved Adaptive Generalized Gaussian Distribution Threshold Function." IEEE Access, vol. 7, pp. 57459-57468, 2019.
  • Khan, R., Zhang, X., Kumar, R., Sharif, A., Golilarz, N.A., Alazab, M. "An Adaptive Multi-Layer Botnet Detection Technique Using Machine Learning Classifiers." Applied Sciences, vol. 9, 2019.
  • Ali, L., Niamat, A., Khan, J.A., Golilarz, N.A., Xingzhong, X., Noor, A., Nour, R., Bukhari, S.A.C. "An Expert System Based on Optimized Stacked Support Vector Machine for Effective Diagnosis of Heart Disease." IEEE Access, vol. 7, pp. 54007-54014, 2019.
  • Addeh, A., Khormali, A., Golilarz, N.A. "Control Chart Pattern Recognition using RBF Neural Network with New Training Algorithm and Practical Features." ISA Transactions, Elsevier, vol. 79, pp. 202-216, 2018. Impact factor: 5.911.
  • Pazouki, S., Golilarz, N.A., Kazemi-Razi, S.M., Aydeger, A. "A self-healing cybersecurity mechanism for cyberattacks targeting artificial neural network-based human brain implants controlling smart homes." 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), 2022, pp. 1-6, doi: 10.1109/ICECET55527.2022.9872885.
  • Golilarz, N.A., Gao, H., Addeh, A., Pirasteh, S. "Orca optimization algorithm: A new meta-heuristic tool for complex optimization problems." Proc. IEEE 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), Chengdu, China, 978-0-7381-4259-3/20, 2020.