Background

Department of Artificial Intelligence Engineering


The Department of artificial intelligence engineering is a leading center for education and research in artificial intelligence engineering. With expert faculty, modern facilities, and a strong focus on innovation, we prepare students for successful careers and academic excellence. Join us and be part of a dynamic learning community shaping the future.

Organization profile

Welcome to the Department of artificial intelligence engineering, one of the leading academic and research centers in the field of artificial intelligence engineering. With distinguished faculty members, advanced educational facilities, and a dynamic research environment, our faculty provides an excellent platform for the development of knowledge and specialized skills. Our goal at the Department of artificial intelligence engineering is to nurture competent, creative, and dedicated graduates who can play a significant role in scientific, industrial, and social fields. Our academic programs emphasize the latest scientific resources, applied research, and continuous interaction with the industry, preparing students for both professional careers and further academic pursuits.



Research output

Articles
1992

Naghsh nilchi, A.R., Mathews, V.J.
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (15206149)5pp. 309-312
2006

Iterative sinc-convolution method for solving radiosity equation in computer graphics

( Article )

Naghsh nilchi, A.R., Daroee, S.
Electronic Transactions on Numerical Analysis (10689613)23pp. 251-262

Real time ELA De-interlacing with the Xtensa reconfigurable processor

( Article . )

Mahvash mohammadi, H., Savaria, Y., Pierre langlois j.m.,
pp. 25-28
2007

A five-field motion compensated deinterlacing method based on vertical motion

( Article . )

Mahvash mohammadi, H., Langlois p., P.J., Savaria, Y.
IEEE Transactions on Consumer Electronics (00983063)53(3)pp. 1117-1124
2008

A new approach to motion vector estimation

( Article . )

Ebrahimi, H., Naghsh nilchi, A.R., Vahdat-nejad, H.
pp. 941-945

A new robust digital image watermarking technique based on joint DWT-DCT Transformation

( Article . )

Kasmani, S.A., Naghsh nilchi, A.R.
2pp. 539-544

A new robust digital image watermarking technique based on the Discrete Cosine Transform and neural network

( Article . )

Naghsh nilchi, A.R., Taheri, A.

A similarity-window based background estimation approach

( Article . )

Shahrian, E., Karshenas, H., Fathy, M.
pp. 623-628

Cardiac arrhythmias classification method based on MUSIC, Morphological Descriptors, and Neural Network

( Article . Gold )

Naghsh nilchi, A.R., Kadkhodamohammadi, A.R.
Eurasip Journal on Advances in Signal Processing (16876172)2008
View all 127 Research output