Ahmad Reza Naghsh-Nilchi, PhD

  • Email: nilchi AT eng.ui.ac.ir      
  • Phone: +98-311-7934088 (Office)
     
  • Address: Department of Artificial Intelligence,       
    Faculty of Computer Engineering, University of Isfahan,
    Hezar Jerib Ave., Isfahan, Iran, Postal Code: 81744

  • My Google Scholar

Academic Positions:

Professor, Artificial Intelligence Dept., University of Isfahan, Since 2016
Associate Professor, Artificial Intelligence Dept., University of Isfahan, 2008-2015
Assistant Professor, Computer Engineering Dept., University of Isfahan, 1997-2007


Educational History:

Ph.D. University of Utah, Electrical Engineering, 1997
M.S. University of Utah, Electrical Engineering, 1991
B.S. University of Utah, Electrical Engineering, 1990.


Teaching Technical Courses:

Advanced Topics in Computer Vision and Image Processing
Introduction to Image Processing
Introduction to Computer Vision
Applied Linear Algerbra
Random Variables & Stochastic Processes


Research Interests:

Image, Video, Audio and Signal Processing,
[Deep, Transfer & Generative] Learnings,
Medical Signal & Image Processing,
Natural Language Processing

Publications:

SELECTED ISI JOURNAL PAPERS:

[1] H Parvin, AR Naghsh-Nilchi, HM Mohammadi , “Transformer based local-global guidance for image captioning, “ Expert Systems with Applications , 223, 119774 , 2023

[2] A Saihood, H Karshenas, AR Naghsh-Nilchi, “Multi-Orientation Local Texture Features for Guided Attention Based Fusion in Lung Nodule Classification, “ IEEE Access 11, 17555-17568 , 2023

[3] S Esteki, AR Naghsh-Nilchi, “Frequency Component Kernel for SVM, “ Neural Computing and Applications 34 (24), 22449-22464 , 2022

[4] A Saihood, H Karshenas, AR Naghsh-Nilchi, “Deep fusion of gray level co-occurrence matrices for lung nodule classification, “ Plos one 17 (9), e0274516 2022

[5] Z Kamranian, H Sadeghian, AR Naghsh Nilchi, M Mehrandezh, “Fast, yet robust end-to-end camera pose estimation for robotic applications,“ Applied Intelligence 51, 3581-3599, 2021

[6] N Imanpour, AR Naghsh‐Nilchi, A Monadjemi, H Karshenas, K Nasrollahi, … , “Memory and time-efficient dense network for single-image super-resolution,“ IET Signal Processing 15 (2), 141-152, 2021

[7] E Shabaninia, AR Naghsh-Nilchi, S Kasae, “A weighting scheme for mining key skeletal joints for human action recognition,“ Multimedia Tools and Applications 78, 31319-31345, 2019

[8] Z Kamranian, AR Naghsh Nilchi, H Sadeghian, F Tombari, N Navab, “Joint motion boundary and CNN-based feature visualization for video object segmentation,“ Neural Computing and Applications, 1-19, 2019

[9] M Hosseini-Pozveh, K Zamanifar, AR Naghsh-Nilchi, “Assessing information diffusion models for influence maximization in signed social networks,“ Expert Systems with Applications 119, 476-490, 2019

[10] E Shabaninia, AR Naghsh-Nilchi, S Kasae, “Extended histogram: probabilistic modelling of video content temporal evolutions,“ Multidimensional Systems and Signal Processing 30, 175-193, 2019

[11] ME Abari, AR Naghsh-Nilchi, “Toward a pedestrian detection method by various feature combinations,“ International Journal of Knowledge-based and Intelligent Engineering Systems, 23 (3), 191-201, 2019

[12] Z Kamranian, AR Naghsh Nilchi, A Monadjemi, N Navab, “Iterative algorithm for interactive co-segmentation using semantic information propagation,“ Applied Intelligence 48, 5019-5036, 2018

[13] Z Kamranian, F Tombari, AR Naghsh Nilchi, A Monadjemi, N Navab, “Co-segmentation via visualization,“ Journal of Visual Communication and Image Representation 55, 201-214, 2018

[14] N Salehi, AR Naghsh-Nilchi, “Automatic 3-D tubular centerline tracking of coronary arteries in coronary computed tomographic angiography,“ Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 6 (2), 170-181, 2018

[15] F Shaker, SA Monadjemi, J Alirezaie, AR Naghsh-Nilchi, “Co-segmentation via visualization,“ Computers in biology and medicine 91, 181-190 2017

[16] E Shabaninia, AR Naghsh-Nilchi, S Kasae, “High-order Markov random field for single depth image super-resolution,“ IET Computer Vision 11 (8), 683-690, 2017

[17] ME Basiri, N Ghasem-Aghaee, AR Naghsh-Nilchi, “Lexicon-based sentiment analysis in Persian,“ Current and Future Developments in Artificial Intelligence 30, 154-183, 2017

[18] M Hosseini-Pozveh, K Zamanifar, AR Naghsh-Nilchi, “A community-based approach to identify the most influential nodes in social networks Journal of Information Science 43 (2), 204-220, 2017

[19] S Nemati, AR Naghsh-Nilchi, “An evidential data fusion method for affective music video retrieval,” Intelligent Data Analysis 21 (2), 427-441, 2017

[20] F Shaker, SA Monadjemi, AR Naghsh-Nilchi, “Automatic detection and segmentation of sperm head, acrosome and nucleus in microscopic images of human semen smears,“ Computer methods and programs in biomedicine 132, 11-20, 2016

[21] S Nemati, AR Naghsh-Nilchi, “Incorporation social media comments in affective video retrieval,” Journal of Information Science 42 (4), 524-538, 2016

[22] M Hosseini-Pozveh, K Zamanifar, AR Naghsh-Nilchi, P Dolog, “Maximizing the spread of positive influence in signed social networks,” Intelligent Data Analysis 20 (1), 199-218, 2016

[23] S Nemati, AR Naghsh-Nilchi, “Affective Video Retrieval Based on Dempster-Shafer Theory,” Advances in Computer Science: an International Journal 4 (2), 112-121, 2015

[24] ME Basiri, AR Naghsh-Nilchi, N Ghassem-Aghaee, “A framework for sentiment analysis in Persian, Open transactions on information processing 1 (3), 1-14, 2014

[25] ME Basiri, N Ghasem-Aghaee, AR Naghsh-Nilchi, “Exploiting reviewers’ comment histories for sentiment analysis, Journal of Information Science 40 (3), 313-328, 2014

[26] ME Basiri, AR Naghsh-Nilchi, N Ghassem-Aghaee, “Sentiment prediction based on Dempster-Shafer theory of evidence, Mathematical Problems in Engineering, 2014

[27] MJ Khosravi, AR Naghsh-Nilchi, “A novel joint secret image sharing and robust steganography method using wavelet”, Multimedia Systems 20 (2), 215-226, 2014

[28] A Fathi, AR Naghsh-Nilchi, “General rotation-invariant local binary patterns operator with application to blood vessel detection in retinal images,” Pattern Analysis and Applications 17, 69-81, 2014

[29] A Fathi, AR Naghsh-Nilchi, FA Mohammadi, “Automatic vessel network features quantification using local vessel pattern operator, Computers in biology and medicine 43 (5), 587-593, 2013

[30] A Fathi, AR Naghsh-Nilchi, “Integrating adaptive neuro-fuzzy inference system and local binary pattern operator for robust retinal blood vessels segmentation,” Neural Computing and Applications 22, 163-174, 2013

[31] A Fathi, AR Naghsh-Nilchi, “Automatic wavelet-based retinal blood vessels segmentation and vessel diameter estimation,” Biomedical Signal Processing and Control 8 (1), 71-80, 2013

[32] M Abbasi, AR Naghsh-Nilchi, “Precise two-dimensional D-bar reconstructions of human chest and phantom tank via Sinc-Convolution algorithm,” BioMedical Engineering OnLine 11 (1), 1-23, 2012

[33] M Abbasi, AR Naghsh‐Nilchi, “Iterative Sinc-Convolution method for solving planar D-bar equation with application to EIT,” International Journal for Numerical Methods in Biomedical Engineering 28 (8), 838-860, 2012

[34] SM Hosseini, AR Naghsh-Nilchi, “Medical ultrasound image compression using contextual vector quantization,” Computers in biology and medicine 42 (7), 743-750, 2012

[35] A Fathi, AR Naghsh-Nilchi, “Noise tolerant local binary pattern operator for efficient texture analysis,” Pattern Recognition Letters 33 (9), 1093-1100, 2012

[36] A Fathi, AR Naghsh-Nilchi, “Efficient image denoising method based on a new adaptive wavelet packet thresholding function,” IEEE Transactions on Image Processing 21 (9), 3981-3990, 2012



BOOK CHAPTER:

[1] Frank Stenger, Ahmad R. Naghsh-Nilchi, J. Niebsch, and R. Ramlau, "Sampling Methods for Approximate Solution of PDE", American Mathematical Society (AMS)– Contemporary Mathematics, Vol. 313, pp. 199-249, 2002.



SELECTED REFEREED CONFERENCE PAPERS:

[1] A Saihood, H Karshenas, AR Naghsh-Nilchi, "Spatial-channel attention-based stochastic neighboring embedding pooling and long-short-term memory for lung nodules classification", 12th International Conference on Computer and Knowledge Engineering (ICCKE), 477-485 2022.

[2] AR Ebrahimy, AR NaghshNilchi, AH Monadjemi, M SaeidEhsani, "IoT based smart surveillance monitoring by using model-based human action recognition design", 5th International Conference on Internet of Things and Applications (IoT), 1-6 2021.

[3] RE Haamer, K Kulkarni, N Imanpour, MA Haque, E Avots, M Breisch, K Nasrollahi, S Escalera, C Ozcinar, X Baro, AR Naghsh-Nilchi, TB Moeslund, G Anbarjafari, “Changes in facial expression as biometric: a database and benchmarks of identification,” 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), 621-628, 2018.

[4] S Nemati, AR Naghsh-Nilchi, "Exploiting evidential theory in the fusion of textual, audio, and visual modalities for affective music video retrieval", 3rd international conference on pattern recognition and image analysis (IPRIA), 222-228, 2017.

[5] A Nilizadeh, AR Naghsh-Nilchi, "A novel steganography method based on matrix pattern and LSB algorithms in RGB images", 1st Conference on Swarm Intelligence and Evolutionary Computation (CSIEC), 154-159, 2016.

[6] M Babaee, AR Naghsh-Nilchi, "Synthetic data generation for X-ray imaging", 21th Iranian Conference on Biomedical Engineering (ICBME), 190-194, 2014.

[7] M Babaee, AR Naghsh-Nilchi, "3-D reconstruction of vessels from two un-calibrated mammography images", 21th Iranian Conference on Biomedical Engineering (ICBME), 167-172, 2014.

[8] E ShabaniNia, AR Naghsh-Nilchi, "Robust watershed segmentation of moving shadows using wavelets", 21th Iranian Conference on Biomedical Engineering (ICBME), 167-172, 2013.

[9] AR Naghsh-Nilchi, M Aghashahi, "Classification of epileptic states using root-MUSIC and MLPNN", 17th European Signal Processing Conference, 2377-2381, 2009.

[10] AR Naghsh-Nilchi M Roshanzamir, "An efficient algorithm for motion detection based facial expression recognition using optical flow", International Journal of Computer and Information Engineering 2 (8), 2724-2729, 2008.

[11] AR. Naghsh-Nilchi, Mirzaee, K., "New Fragile Watermarking Technique with Ability of Identifying the Tamparing Area Based on Sinc-Convolution", Proceedings of the 3rd Iranian Society of Cryptology Conference, 2005.

[12] AR. Naghsh-Nilchi, Mirzaee, K., "Digital Image Authentication Based on Fragile Watermarking Using Sinc-Convolution," Proceedings of the 10th Annual CSI Computer Conference, 2005.

[13] AR. Naghsh-Nilchi, AsadZadeh, S., "Sinc Mapping Implementation in MPEG/JPEG Compression Techniques", Iranian Intelligent Systems Conference, 2005.

[14] AR. Naghsh-Nilchi, S. Daroee, "Solution of Radiosity Eqation in Computer Graphics via Sinc Convolution," (In Farsi), Proceedings of the Seventh Annual CSI Computer Conference, 2002.

[15] AR. Naghsh-Nilchi, F. Stenger, "Electric Field Integral Equation via Sinc-Convolution," Proceedings of International Conference on Numerical Algorithms, Marakesh, Morroco, October 1-5, 2001.

[16] F Stenger, AR. Naghsh-Nilchi, J. Niebsch, and R. Ramlau, "Solving PDE via Weighted Sampling," Proceedings of International Conference on Sampling Theory and Applications, SAMPTA 2001, Orlando, Florida, USA, May 2001.

[17] AR. Naghsh-Nilchi, F. Stenger, "Cardinal Approximate Solution of Three-Dimensional Convolutions," Proceedings of the sixth Annual CSI Computer Conference, 2001.

[18] F Stenger, AR. Naghsh-Nilchi, "A Unified Approach to the Approximate Solution of PDE," Proceedings of Verga's International Conference on Mathematical Journey through Analysis, Matrix Theory and Scientific Computation, Kent, Ohio, USA, March 1999.

[19] AR. Naghsh-Nilchi, F. Stenger, A. Tripp, "Sinc-Convolution Method for Solving Open-Region, 3-D Electromagnetic Models" Proceeding of Consortium for EM Modeling and Inversion, Salt Lake City, UT, USA, March 1994.

[20] AR. Naghsh-Nilchi, and V. J. Mathews, "An Efficient Method of Joint Estimation of Differential Time Delays and Frequency Offsets," Proceedings of IEEE-ICASSP-92, San Francisco, California, USA, April 1992.