Pejman Khadivi

Contact
khadivip@seattleu.edu
Department of Computer Science
Seattle University
Seattle, WA 98122
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About

Dr. Pejman Khadivi is an Associate Professor of Computer Science at Seattle University. His research is primarily concerned with artificial intelligence, machine learning, and large-scale data analytics, with an emphasis on information theory and deep learning architectures, and their applications.

Education

Ph.D. in Computer Science, Virginia Tech (2016)
Ph.D. in Electrical Engineering, Isfahan University of Technology (2006)
M.Sc. in Computer Engineering, Isfahan University of Technology (2000)
B.Sc. in Computer Engineering, Isfahan University of Technology (1998)

Recent Publications

  • M. Ahmadi, B. Mirmahboub, N. Karimi, P. Khadivi, S Samavi, "AI-Assisted Breast Cancer Classification: A Deep Learning Model Integrating MobileNet and ShuffleNet Features", IEEE AIIoT, 2025.
  • F. Koohestani, Z.N.Z.S. Babak, N. Karimi, P. Khadivi, S. Shirani, S. Samavi, "Adaptive Bitrate Selection for Medical Video Compression Balancing Bandwidth Efficiency and Segmentation Quality", IEEE AIIoT, 2025.
  • A. Tamizifar, S. Berenjkoub, Z. SobhaniNia, N. Karimi, P. Khadivi, S. Samavi, "Preprocessing and Postprocessing for Robust Bone Tumor Detection: A Siamese-Guided Weighted Augmentation Pipeline", IEEE AIIoT, 2025.
  • T. Sharifian, Z.N.Z.S. Babak, B. Mirmahboub, N. Karimi, P. Khadivi, S. Samavi, "TMA-UNet: A Parameter-Efficient Deep Learning Model for Fetal Brain MRI Segmentation", IEEE AIIoT, 2025.
  • Z. Ghorbani, F. Koohestani, N. Karimi, S. Shirani, P. Khadivi, S. Samavi, "UCMViT: Enhancing Skin Lesion Segmentation with Efficient Transformer-Based Feature Fusion and Small Lesion Cropping", IEEE AIIoT, 2025.
  • F.G. Ladani, N. Karimi, P. Khadivi, S. Samavi, "Wavelet based fMRI analysis for autism spectrum disorder detection using feature selection and ridge classifier", IEEE AIIoT, 2024.
  • A. Tamizifar, P. Behzadifar, Z. SobhaniNia, N. Karimi, P. Khadivi, S. Samavi, "Enhanced Nuclei Segmentation in Histopathological Images Using a Novel Preprocessing Pipeline and Deep Learning", IEEE AIIoT 2024.
  • M. Jamali, N. Karimi, P. Khadivi, S. Shirani, S. Samavi, "Robust watermarking using diffusion of logo into auto-encoder feature maps", Journal of Multimedia Tools and Applications, 2023.
  • P. Khadivi, "AI and society: Teaching AI to non-STEM students", Journal of Computing Sciences in Colleges, Vol. 39, No. 1, Pp 18-27, 2023.
  • Z. Sobhaninia, N. Karimi, P. Khadivi, S. Samavi, "Brain tumor segmentation by cascaded multiscale multitask learning framework based on feature aggregation", Journal of Biomedical Signal Processing and Control, 2023.
  • G. Ghorbanzadeh, Z. Nabizadeh, N. Karimi, P. Khadivi, A. Emami, S. Samavi, "DGAFF: Deep genetic algorithm fitness Formation for EEG Bio-Signal channel selection", Journal of Biomedical Signal Processing and Control, 2023.
  • P. Khadivi, "Flow of Information in Hopfield Neural Networks", IEEE 21st International Conference on Cognitive Informatics & Cognitive Computing (ICCI* CC), 2022.
  • P. Khadivi, "Bag of Symbols for Time Series Distance Measurement and Applications", Published in Proc. of IEEE BigData, 2020.

 
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