Ph.D. in Electrical Engineering (Telecommunication)

Supervisor: Dr. Ali Aghagolzadeh

Thesis: "Combination of manifold learning and sparse representation for Persian handwritten digits and characters recognition"

MS in Electrical Engineering (Telecommunication)

Supervisor: Dr. Kamal Mohamedpur

Thesis: "Analyzing and simulation of channel estimation methods for MIMO-OFDM systems in troposphere layer"

BS in Electrical Engineering (Electronics)

·         Manifold learning and geometric statistical modeling

·         Assigning and modifying sparse representation techniques for learning and classification applications

·         Pattern recognition and machine learning (especially, dimension reduction, feature extraction, and classification methods)

·         Deep learning

·         Machine learning

• Engineering Probability and Statistics
• Electrical Circuit I & II
• Signals and Systems
• Communication Systems
• Queuing Theory
• Pulse Techniques      \
• Convex Optimization
• Digital Communication
• Discrete Time Signal Processing

·         R. Hajizadeh, A. Aghagolzadeh, and M. Ezoji, "Fusion of LLE and Stochastic LEM for Persian Handwritten Digits Recognition", International Journal on Document Analysis and Recognition (IJDAR), Springer, 2018, Vol. 21, Issue 1-2, pp: 109-122.

·         R. Hajizadeh, A. Aghagolzadeh, and M. Ezoji, "Mutual Neighbors and Diagonal Loading Based Sparse Locally Linear Embedding", Applied Artificial Intelligence, Taylor & Francis, 2018, Vol. 32, Issue 5, pp: 469-514.

·         R. Hajizadeh, A. Aghagolzade, M. Ezoji, "Manifold Learning based on the Manifold Graph Construction using Sparse Representation". Journal of Iranian Association of Electrical and Electronics Engineers, 2018, Vol. 15, Issue 2, pp: 81-95, (Published in Persian).

·         H.R. Rabiee, H. Dehbovid, R. Hajizadeh.: "A Novel Method for Power Allocation in MIMO-OFDM Systems with the Purpose of Increasing the Whole Capacity", Australian Journal of Basic and Applied Sciences, 2011, Vol. 5, Issue 5, pp: 572-579.

·         R. Hajizadeh, A. Aghagolzadeh, and M. Ezoji, "Local Distances Preserving based Manifold Learning", Expert Systems with Applications, 2019, Vol. 139.

·         R. Hajizadeh, A. Aghagolzadeh, and M. Ezoji, “manifold learning in transform area for Persian handwritten digits recognition”, 1st International Conference on Modern Technologies of Sciences, Amol, Iran, 7 September 2017 (Accepted as the best article & Published in Persian).

·         R. Hajizadeh, A. Aghagolzadeh, and M. Ezoji, “Euclidean-based manifold learning for face recognition”, 1st International Conference on Modern Technologies of Sciences, Amol, Iran, 7 September 2017 (Published in Persian).

·         R. Hajizadeh, A. Aghagolzadeh, and M. Ezoji. "Manifold based Persian digit recognition using the modified locally linear embedding and linear discriminative analysis", 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI), Tehran, Iran, 5-6 November 2015.

·         R. Hajizadeh, K. Mohamedpor, and M.R. Tarihi, “Channel Estimation in OFDM System Based on the Linear Interpolation, FFT and Decision Feedback”, 18th Telecommunications forum TELFOR, Belgrade, Serbia, 23-25 November 2010.

"Classic methods of data representation from the high-dimensional space to the low-dimensional space", R. Hajizadeh and F. Nazari, 2018 (Published in Persian).

·         Evaluation and simulation of track while scan radar

·         Simulation of different kinds of communication systems in a jamming environment

·         5 years of experience with telecommunication transceivers designing and signal processing at Electronic Engineering Company of "Moj Paedazesh Samaneh" (MPS Co.).

·         Project manager of "monitoring and acquisition system of low-pressure electricity" in MPS Co.

·         Arbitration of Mazandaran Science and Technology Park inventions and designs.

·         Member of the Association of Machine Vision and Image Processing of Iran.

·         Designing and implementation of a Morse-code generating modem for HF wireless transceiver.

·         Implementation of different machine vision algorithms and methods such as k-means, filtering, SIFT, bilateral filter, etc.