Amin Alizadeh Naeini

Since September 2019, I have been advancing my second Ph.D. at York University, focusing on deep learning applications in monocular image depth estimation and LiDAR technologies. My career includes a significant tenure as a university lecturer, teaching advanced concepts in spatial data processing and optimization, alongside contributing to innovative AI research in Prof. Sohn's Lab at York University. My expertise spans computer vision, remote sensing, and the application of deep learning in urban classification and hyperspectral image analysis, underpinned by a solid foundation in programming and an active pursuit of professional development. I am driven to apply my extensive AI, machine learning, and geospatial science knowledge to groundbreaking environmental and urban planning projects.

Windows, Ubuntu, Python, MATLAB, Pytorch, Tensorflow, Keras

• Deep learning
• Urban classification based on the fusion of image and LiDAR
• Hyperspectral image analysis
• Geometric processing of satellite and aerial imageries
• Single and multi-objective optimization

Online Courses

• Completed "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization" from DeepLearning.AI
• Earned "Deep Neural Networks with PyTorch" certificate from University of Michigan
• Finished "How Google does Machine Learning" by Google Cloud Education
• Achieved "End-to-End Machine Learning with TensorFlow on GCP" from Google Cloud Education
• Accomplished "Deep Learning with PyTorch: Neural Style Transfer" course from Coursera
• Completed "Build Basic Generative Adversarial Networks (GANs)" from DeepLearning.AI
• Obtained "Structuring Machine Learning Projects" certification from DeepLearning.AI
• Finished "Getting started with TensorFlow 2" from Imperial College London
• Earned "Python Data Structures" certificate from University of Michigan
• Completed "Self-Driving Cars Specialization" audit from the University of Toronto, enhancing expertise in autonomous vehicle technology.

Journals 

1- Ahmadi, Mostafa, Alizadeh Naeini, Amin, et al. "HDPV-SLAM: Hybrid Depth-augmented Panoramic Visual SLAM for Mobile Mapping System with Tilted LiDAR and Panoramic Visual Camera." IEEE Case, (2023).

2- Alizadeh Naeini, Amin, Mohammad Moein Sheikholeslami, and Gunho Sohn. "An Adaptive Refinement Scheme for Depth Estimation Networks." Sensors 22.24 (2022): 9755.

3- M. Rahimzad, S. Homayouni, A. Alizadeh Naeini and saeed nadi, "An Efficient Multi-Sensor Remote Sensing Image Clustering in Urban Areas via Boosted Convolutional Autoencoder (BCAE)," Remote Sensing Journal, 2021.

4- S. Gholinejad, A. Amiri-Simkooei, S. H. A. Moghaddam, and A. Alizadeh Naeini, "An automated PCA-based approach towards optimization of the rational function model," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 165, pp. 133-139, 2020.

5- A. Alizadeh Naeini, S. H. A. Moghaddam, M. M. Sheikholeslami, and A. Amiri-Simkooei, "Application of PCA Analysis and QR Decomposition to Address RFM's Ill-Posedness," Photogrammetric Engineering & Remote Sensing, vol. 86, no. 1, pp. 17-21, 2020.

6- M. M. Sheikholeslami, S. Nadi, A. Alizadeh Naeini, and P. Ghamisi, "An Efficient Deep Unsupervised Superresolution Model for Remote Sensing Images," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 1937-1945, 2020.

7- M. Seydgar, A. Alizadeh Naeini, M. Zhang, Wei Li, M.Sattari “3D Convolution-Recurrent Networks for Spectral-Spatial Classification of Hyperspectral Images”, Remote Sensing Journal, 2019.

8- A. Alizadeh Naeini, S.B. Fatemi, M. Bababdi, S.M.J Mirzadeh, S.Homayouni “Application of 30-Meter Global Digital Elevation Models for Compensating Rational Polynomial Coefficients Biases”, Geocarto International, pp. 1-15, 2019.

9- S. H. A. Moghaddam, M.Mokhtarzade, A. Alizadeh Naeini, A. Amiri-simkooei, “A Statistical Variable Selection Solution for RFM Ill-posedness and Over-parameterization Problems”, IEEE transaction on geoscience and remote sensing, 2018.

10- A. Alizadeh Naeini, S.M.J Mirzadeh, S. Homayouni, “Global DEMs to Tackle RPC biases and Overfitting Phenomenon in High-Resolution Satellite Imagery”, international journal of remote sensing, 2018.

11- A. Alizadeh Naeini, S. H. A. Moghaddam, S. M. J. Mirzadeh, S. Homayouni, and S. B. Fatemi, "Multiobjective Genetic Optimization of Terrain-Independent RFMs for VHSR Satellite Images," IEEE Geoscience and Remote Sensing Letters, vol. 14, pp. 1368-1372, 2017.

12- Sedaghat and A. Alizadeh Naeini, "DEM orientation based on local feature correspondence with global DEMs," GIScience & remote sensing, vol. 55, no. 1, pp. 110-129, 2018.

13- A. Alizadeh Naeini, S. Homayouni, and M. saadatseresht, "Improving the Dynamic Clustering of Hyperspectral Data Based on the Integration of Swarm Optimization and

Decision Analysis " Selected Topics in Applied Earth Observations and Remote Sensing, 2014.

14- A. Alizadeh Naeini, M. saadatseresht and S. Homayouni, "Automatic estimation of number of clusters in hyperspectral imagery," Photogrammetric Engineering & Remote Sensing, 2014.

15- A. Alizadeh Naeini, S. Homayouni, and M. Saadatseresht, "Intrinsic Dimensionality Estimation in Hyperspectral Imagery Using Residual and Change-Point Analyses " IEEE Geoscience and Remote Sensing Letter, 2014.

16- S. Niazmardi, A. Alizadeh Naeini, S. Homayouni, A. Safari, and F. Samadzadegan, "Particle swarm optimization of kernel-based fuzzy c-means for hyperspectral data clustering," Journal of Applied Remote Sensing, vol. 6, 2012.

Conferences

1- A.Alizadeh-Naeini, et.al, An Unsupervised Registration of 3D Point Clouds to 2D Cad Model: A Case Study of Floor Plan, ISPRS conference, 2020.

2- H.Alizadeh, M.Mokhtarzade, A.Alizadeh-Naeini, A.Alizadeh, "Statistical Method To Overcome Overfitting Issue In Rational Function Models", SMPR 2017, Tehran, Iran.

3- A. Alizadeh-Naeini, M.Babadi, S.Homayouni, "Assessment of normalization techniques on the accuracy of hyperspectral data clustering", SMPR 2017,Tehran, Iran.

4- A. Alizadeh Naeini, S, Homayouni and M.Saadatseresht, "Fuzzy clustering of hyperspectral data based on particle swarm optimization," in Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2014..

5- H.Arefi, A.Alizadeh Naeini, A.Ghafouri, "building extraction using surface model classification" presented at the GIS Ostrava, Ostrava, 2013.

6- S. Niazmardi, A. Alizadeh Naeini, S. Homayouni, and A. Safari, " Evaluation of kernel tuning approaches for kernel based clustering of hyperspectral data," presented at the National cartographic center., Tehran, Iran, 2012.

7- F. Samadzadegan and A. Alizadeh Naeini, "Fuzzy clustering of hyperspectral data based on particle swarm optimization," in Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2011 3rd Workshop on, 2011, pp. 1-4.

8- F. Samadzadegan and A. Alizadeh Naeini, "Improvming Traditional Clustering of Hyperspectral Data Based on Particle Swarm Optimization," presented at the SMPR, Tehran, Iran, 2011.

9- F. Samadzadegan, A. Abootalebi, and A. Alizadeh Naeini, "Evaluation of the Potential of Swarm Clustering Techniques in Hyperspectral Data," University of Tehran, GIS Ostrava, 2010.