A selection of my publications, sorted by time.
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Publications

  1. Shahnazar, A., Nikafshan Rad, H., Hasanipanah, M., Tahir, M.M., Jahed Armaghani, D. and Ghoroqi, M., 2017. “A new developed approach for the prediction of ground vibration using a hybrid PSO-optimized ANFIS-based model.” Environmental earth sciences, 76(15), pp.1-17.
  2. Nikafshan Rad, H., Mahdi Hasanipanah, Mohammad Rezaei, and Amin Lotfi Eghlim. “Developing a least squares support vector machine for estimating the blast-induced flyrock.” Engineering with Computers 34, no. 4 (2018): 709-717.
  3. Nikafshan Rad, H., Bakhshayeshi, I., Wan Jusoh, W.A., Tahir, M.M. and Foong, L.K., 2020. “Prediction of flyrock in mine blasting: a new computational intelligence approach.” Natural Resources Research, 29(2), pp.609-623.
  4. Chen, Wusi, Mahdi Hasanipanah, Nikafshan Rad, H., Danial Jahed Armaghani, and M. M. Tahir. “A new design of evolutionary hybrid optimization of SVR model in predicting the blast-induced ground vibration.” Engineering with Computers 37, no. 2 (2021): 1455-1471.
  5. Nikafshan Rad, H., Zakaria Jalali, and Hossein Jalalifar. “Prediction of rock mass rating system based on continuous functions using Chaos–ANFIS model.” International Journal of Rock Mechanics and Mining Sciences 73 (2015): 1-9.[video]
  6. Cao, Yan, Nikafshan Rad, H., Danial Hamedi Jamali, Nasim Hashemian, and Amir Ghasemi. “A novel multi-objective spiral optimization algorithm for an innovative solar/biomass-based multi-generation energy system: 3E analyses, and optimization algorithms comparison.” Energy Conversion and Management 219 (2020): 112961.
  7. Yang, Haiqing, Nikafshan Rad, H., Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, and Atefeh Nekouie. “Prediction of vibration velocity generated in mine blasting using support vector regression improved by optimization algorithms.” Natural Resources Research 29, no. 2 (2020): 807-830.
  8. AminShokravi, Amir, Hajar Eskandar, Ali Mahmodi Derakhsh, Nikafshan Rad, H., and Ali Ghanadi. “The potential application of particle swarm optimization algorithm for forecasting the air-overpressure induced by mine blasting.” Engineering with Computers 34, no. 2 (2018): 277-285.
  9. Farsa, Edris Zaman, Arash Ahmadi, Mohammad Ali Maleki, Morteza Gholami, and Nikafshan Rad, H.. “A low-cost high-speed neuromorphic hardware based on spiking neural network.” IEEE Transactions on Circuits and Systems II: Express Briefs 66, no. 9 (2019): 1582-1586.
  10. Karim, Sarkhel H. Taher, Tofiq Ahmed Tofiq, Mortaza Shariati, Nikafshan Rad, H., and Amir Ghasemi. “4E analyses and multi-objective optimization of a solar-based combined cooling, heating, and power system for residential applications.” Energy reports 7 (2021): 1780-1797.
  11. Jing, Hongjun, Nikafshan Rad, H., Mahdi Hasanipanah, Danial Jahed Armaghani, and Sultan Noman Qasem. “Design and implementation of a new tuned hybrid intelligent model to predict the uniaxial compressive strength of the rock using SFS-ANFIS.” Engineering with Computers 37, no. 4 (2021): 2717-2734.
  12. Hasanipanah, Mahdi, Wengang Zhang, Danial Jahed Armaghani, and Nikafshan Rad, H.. “The potential application of a new intelligent based approach in predicting the tensile strength of rock.” IEEE Access 8 (2020): 57148-57157.
  13. Ding, Xiaohua, Mahdi Hasanipanah, Nikafshan Rad, H., and Wei Zhou. “Predicting the blast-induced vibration velocity using a bagged support vector regression optimized with firefly algorithm.” Engineering with Computers 37, no. 3 (2021): 2273-2284.
  14. Zhu, Wei, Nikafshan Rad, H., and Mahdi Hasanipanah. “A chaos recurrent ANFIS optimized by PSO to predict ground vibration generated in rock blasting.” Applied Soft Computing 108 (2021): 107434.
  15. Cao, Yan, Hayder A. Dhahad, Naeim Farouk, Wei-Feng Xia, Nikafshan Rad, H., Amir Ghasemi, Saeed Kamranfar, Mostafa Mostafavi Sani, and Ali Akbar Shayesteh. “Multi-objective bat optimization for a biomass gasifier integrated energy system based on 4E analyses.” Applied Thermal Engineering 196 (2021): 117339.
  16. Cao, Jing, Juncheng Gao, Nikafshan Rad, H., Ahmed Salih Mohammed, Mahdi Hasanipanah, and Jian Zhou. “A novel systematic and evolved approach based on XGBoost-firefly algorithm to predict Young’s modulus and unconfined compressive strength of rock.” Engineering with Computers (2021): 1-17.
  17. Li, Guichen, Deepak Kumar, Pijush Samui, Nikafshan Rad, H., Bishwajit Roy, and Mahdi Hasanipanah. “Developing a new computational intelligence approach for approximating the blast-induced ground vibration.” Applied sciences 10, no. 2 (2020): 434.
  18. Nikafshan Rad, H., and Zakaria Jalali. “Modification of rock mass rating system using soft computing techniques.” Engineering with Computers 35, no. 4 (2019): 1333-1357.[code]
  19. Karim, A., Su, Z., West, P.K., Keon, M., NYGC ALS Consortium, Shamsani, J., Brennan, S., Wong, T., Milicevic, O., Teunisse, G. and Nikafshan Rad, H., 2021. “Molecular Classification and Interpretation of Amyotrophic Lateral Sclerosis Using Deep Convolution Neural Networks and Shapley Values.” Genes, 12(11), p.1754.

Conference Tutorials

  1. Hima Nikafshan Rad, Homayun Motameni. “Reduce Data Anomalies Using Manifold Learning”, Pattern Recognition and Image Analysis (PRIA) (2013).
  2. Homayun Motameni, Hesam Omranpur, Hima Nikafshan Rad, “Modeling and evaluation of trust in the cloud using Petri net”, International Conference on Nonlinear Modeling and Optimization-ICNMO (2012).
  3. Hima Nikafshan Rad, Zakaria Jalali. “Estimate geomechanical rock mass classification system (RMRb) based on continuous rating using ANFIS-FCM”, 5th Iranian Mining Engineering Conference (2014).
  4. Gholamreza Abdolah-Zade, Rosa vosughi-kia, Hima Nikafshan Rad Kaveh Vaziri. “Modeling and Evaluation of prediction security on risk management cycle, public safety and health using stochastic Petri net(Case Study: Tehran metros site)”, 8th National Congress On Civil Engineering (2013).