Mahlagha Afrasiabi
Assistant Professor
Department of Computer Science,
Hamedan University of Technology.
Telephone: +98(81)38411234
m.afrasiabi@hut.ac.ir
Address: Shahid Fahmideh.St,Hamedan,IRAN
CV
Website:
Research Interests 
  • Artificial Neural Networks
  • medical image processing
  • pattern reocnition
  • fuzzy
Publications
  • Leili Tapak , Saeid Afshar , Mahlagha Afrasiabi , Mohammad Kazem Ghasemi , and Pedram Alirezaei, Application of Genetic Algorithm-Based Support Vector Machine in Identification of Gene Expression Signatures for Psoriasis Classification: A Hybrid Model, BioMed Research International., 2021.
  • Afrasiabi, Mahlagha, Khotanlou, Hassan, and Gevers, Theo, Spatial-temporal dual-actor CNN for human interaction prediction in video, Multimed Tools Aool 79, 20019-20038, 2020.
  • Afrasiabi, Mahlagha, Khotanlou, Hassan, and Gevers, Theo, Spatial-temporal dual-actor CNN for human interaction prediction in video, Multimed Tools Aool 79, 20019-20038, 2020.
  • Afrasiabi, Mahlagha, Khotanlou, Hassan, and Mansoorizadeh, Muharam, DTW-CNN: time series-based human interaction prediction in videos using CNN-extracted features. The Visual Computer, pp.1-13, 2019.
  • Afrasiabi Mahlagha and Khotanlou, Hassan, Human-Human interaction recognition using Adaptive neuro-fuzzy inference system, National and First International Conference on Soft Computing, University of Guilan, 2016
  • Rostami, Zahra, Mahlagha Afrasiabi, and Hassan Khotanlou. "Skeleton-based action recognition using spatio-temporal features with convolutional neural networks." Knowledge-Based Engineering and Innovation (KBEI), 2017 IEEE 4th International Conference on. IEEE, 2017.
  • Ahmadipour, Zohreh, Mahlagha Afrasiabi, and Hassan Khotanlou. "Multiple human detection in images based on differential evolution and HOG-LBP." Information and Knowledge Technology (IKT), 2016 Eighth International Conference on. IEEE, 2016.
  • Abbase, S., Khotanlou, H., Afrasiabi, M., & Asgari, A."Automatic identification of chromosomal abnormalities in metaphase karyotype using paired images in human chromosomes." Knowledge-Based Engineering and Innovation (KBEI), 2015 2nd International Conference on. IEEE, 2015.
  • Khotanlou, Hassan, and Mahlagha Afrasiabi. "Feature selection in order to extract multiple sclerosis lesions automatically in 3D brain MR images using combination of Support Vector Machine and Genetic algorithm." Journal of Medical Signals and Sensors 2.4 (2012).
  • Khotanlou, Hassan, and Mahlagha Afrasiabi. "Segmentation of multiple sclerosis lesions in brain MR images using spatially constrained possibilistic fuzzy C-means classification." Journal of medical signals and sensors 1.3 (2011).
Courses Taught
  • Advanced artificial intelligence
  • Evolutionary Computing
  • ِDataBase
  • Data Structure
  • Artificial intelligence

  • Computational Intelligence

Academic Experiences
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Honors and Awards
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