Pejman Khadivi

Contact khadivip@seattleu.edu Department of Computer Science Seattle University Seattle, WA 98122 Google Scholar Profile LinkedIn Profile

Research

Dr. Khadivi's primary research interests are in the field of artificial intelligence, machine learning, and data analytics using large scale datasets. His current research is focused on the following three major areas:

• Application of artificial intteligence in medical diagnosing
• Dynamics of neural networks
• AI and Society

Selected 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.
• 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.
• M.Momtazpour, P.Khadivi, “Sales Promotions and Resource Optimization in Sustainable Fashion”, Proceedings of IEEE Artificial Intelligence for Industry (AI4I’19), 2019.
• P.Khadivi, “Ants, Men, and the Elephant: An Unsupervised Collaboration for 2-D Shape Discovery”, Proceedings of ACM Collective Intelligence Conference, 2019.
• P.Khadivi, R.Tandon, N.Ramakrishnan, “Flow of Information in Feed-Forward Deep Neural Networks”, Ready for Submitted to IEEE International Symposium on Information Theory, 2017.