Dr. Mohammad Mahdi Dehshibi

Research Scientist
Universidad Carlos III de Madrid, Getafe, Madrid, Getafe, Spain

Highest Degree
Ph.D. in Computer Vision from Islamic Azad University, Parand, Iran

My URL
https://livedna.org/98.12023

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Biography

Mohammad Mahdi Dehshibi received his PhD degree, in Computer engineering, from Islamic Azad University (IAU), Tehran, Iran, in 2015. From 2008, he has been a Visiting Lecturer at Shahid Beheshti University of Iran (SBU). From 2014, he was with the Pattern Research Center (PRC), where he is the director and responsible for research projects in the area of Unconventional Computing, Pattern Recognition/Formation, and Cellular Automata. Now, he has the position of Research Internship at ISPR Lab., SBU, as well. Dr. Dehshibi is a member of IEEE, MVIP and DISWC and has contributed to over 60 papers published in scientific Journals or International Conferences.

Area of Interest:

Computer Sciences
Pattern Recognition
Computer Vision
Machine Learning
Cellular Automata

Selected Publications

  1. Dehshibi, M.M., T. Olugbade, F. Diaz-de-Maria, N. Bianchi-Berthouze and A. Tajadura-Jiménez, 2023. Pain level and pain-related behaviour classification using GRU-based sparsely-connected RNNs. IEEE J. Sel. Top. Signal Process., 17: 677-688.
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  2. Dehshibi, M.M., B. Baiani, G. Pons and D. Masip, 2023. A deep multimodal learning approach to perceive basic needs of humans from Instagram profile. IEEE Trans. Affective Comput., 14: 944-956.
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  3. Chiolerio, A., G. Vitiello, M.M. Dehshibi and A. Adamatzky, 2023. Living plants ecosystem sensing: A quantum bridge between thermodynamics and bioelectricity. Biomimetics, Vol. 8. 10.3390/biomimetics8010122.
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  4. Chiolerio, A., M.M. Dehshibi, G. Vitiello and A. Adamatzky, 2022. Molecular collective response and dynamical symmetry properties in biopotentials of superior plants: Experimental observations and quantum field theory modeling. Symmetry, Vol. 14. 10.3390/sym14091792.
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  5. Chiolerio, A., M.M. Dehshibi, D. Manfredi and A. Adamatzky, 2022. Living wearables: Bacterial reactive glove. Biosystems, Vol. 218. 10.1016/j.biosystems.2022.104691.
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  6. Ashtari-Majlan, M., A. Seifi and M.M. Dehshibi, 2022. A multi-stream convolutional neural network for classification of progressive MCI in Alzheimer’s disease using structural MRI images. IEEE J. Biomed. Health Inf., 26: 3918-3926.
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  7. Adhane, G., M.M. Dehshibi and D. Masip, 2022. On the use of uncertainty in classifying Aedes albopictus mosquitoes. IEEE J. Sel. Top. Signal Process., 16: 224-233.
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  8. Adamatzky, A., P. Ayres, A.E. Beasley, A. Chiolerio and M.M. Dehshibi et al., 2022. Fungal electronics. Biosystems, Vol. 212. 10.1016/j.biosystems.2021.104588.
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  9. Adhane, G., M.M. Dehshibi and D. Masip, 2021. A deep convolutional neural network for classification of Aedes albopictus mosquitoes. IEEE Access, 9: 72681-72690.
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  10. Dehshibi, M.M., M. Sourizaei, M. Fazlali, O. Talaee, J. Samadyar and H. Shanbehzadeh, 2017. A hybrid bio-inspired learning algorithm for image segmentation using multilevel thresholding. Multimedia Tools Appl., 76: 15951-15986.
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  11. Parsa, S.S., M. Sourizaei, M.M. Dehshibi, R.E. Shateri and M.R. Parsaei, 2017. Coarse-grained correspondence-based ancient Sasanian coin classification by fusion of local features and sparse representation-based classifier. Multimedia Tools Appl., 76: 15535-15560.
    Direct Link  |  

  12. Taghipoor, N., H.H.S. Javadi, M.M. Dehshibi and A. Adamatzky, 2016. On complexity of persian orthography: L-systems approach. Complex Sys., 25: 128-156.

  13. Fazlali, M., P. Khodamoradi, F. Mardukhi, M. Nosrati and M.M. Dehshibi, 2016. Metamorphic malware detection using opcode frequency rate and decision tree. Int. J. Inf. Security Privacy, 10: 67-86.

  14. Dehshibi, M.M., A. Shirmohammadi and A. Adamatzk, 2015. On growing Persian words with L-systems: Visual modeling of neyname. Int. J. Image Grap., 15: 1550011-1550011.
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  15. Minoofam, S.A.H., M.M. Dehshibi, A. Bastanfard and J. Shanbehzadeh, 2014. Pattern Formation Using Cellular Automata and L-Systems: A Case Study in Producing Islamic Patterns. In: Cellular Automata in Image Processing and Geometry, Minoofam, S.A.H., M.M. Dehshibi, A. Bastanfard and J. Shanbehzadeh(Eds.)., Springer, Switzerland, ISBN: 9783319064307, pp: 233-252.
    CrossRef  |  

  16. Dehshibi, M.M., M. Fazlali and J. Shanbehzadeh, 2014. Linear principal transformation: Toward locating features in N-dimensional image space. Multimedia Tools Appl., 72: 2249-2273.
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  17. Dehshibi, M.M. and J. Shanbehzadeh, 2014. Persian viseme classification using interlaced derivative patterns and support vector machine. J. Inf. Assur. Secur., 9: 148-156.

  18. Aghaahmadi, M., M.M. Dehshibi, A. Bastanfard and M. Fazlali, 2013. Clustering Persian viseme using phoneme subspace for developing visual speech application. Multimedia Tools Applic., 65: 521-541.
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  19. Minoofam, S.A.H., M.M. Dehshibi, A. Bastanfard and P. Eftekhari, 2012. Ad-hoc ma'qeli script generation using block cellular automata. J. Cell. Automata, 7: 321-334.

  20. Dehshibi, M.M. and R. Allahverdi, 2012. Persian vehicle license plate recognition using multiclass Adaboost. Int. J. Comput. Electr. Eng., 4: 355-358.

  21. Allahverdi, R., M.M. Dehshibi, A. Bastanfard and D. Akbarzadeh, 2012. EigenCoin: Sassanid coins classification based on Bhattacharyya distance. Comput. Sci., 1: 1151-1160.

  22. Dehshibi, M.M. and A. Bastanfard, 2010. A new algorithm for age recognition from facial images. Signal Process., 90: 2431-2444.
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Member since October, 2017