Samad Najjar-Ghabel
Samad Najjar-Ghabel
Assistant Professor
Faculty of Engineering
Department of Computer Engineering
Phone: 04531505330
Email: s.najjar@uma.ac.ir
ORCID: https://orcid.org/0000-0001-7684-3248
20162017201820192020202120222023202420252026413820374344646860
AllSince 2021
Citations354316
h-index99
i10-index98

Samad Najjar-Ghabel received his B.S. degree in Computer

Engineering from the University of Mohaghegh Ardabili followed

by his M.S. degree in Computer Engineering and Ph.D. degree in

Information Technology Engineering (Computer Networks), both

from the University of Tabriz. Currently, he is serving as an

Assistant Professor in the Department of Computer Engineering

at the University of Mohaghegh Ardabili, where he is dedicated

to advancing research and education in the field of computer

engineering.

In addition to his academic role, Dr. Najjar-Ghabel is the Chief

Executive Officer of ArkanEng company. 


Education

Bachelor of Science: Computer Engineering (Software) - University of Mohaghegh Ardabili (2010 – 2013)

Master's degree: Computer Engineering (Software) - University of Tabriz (2013 – 2015)

PhD: Information Technology Engineering (Computer Networks) - University of Tabriz (2016 – 2020)


Awards

Memberships

Fields of Interest

His research interests

 are Wireless Sensor

Networks (WSN), the Internet of Things (IoT), Machine Learning,

evolutionary algorithms, and Data Mining.

31 - Yousefi S, Najjar-Ghabel S, Yousefimehr B, Kozhanov M, Nabipour N, Amirov A. INTERNET OF EDUCATIONAL THINGS AND MACHINE LEARNING. Chart. 2019:11. Download
30 - Performance Evaluation of Metaheuristic Algorithms for IIoT Device Deployment in Obstacle-Constrained Environments Download
29 - Najjar-Ghabel, Samad, and Shamim Yousefi. "BNDrop-XNet: A Lightweight Multi-Modal Deep Learning Framework with Weighted Fusion for Melanoma Detection using Dermoscopic and Clinical Data." Natural Language Processing Journal (2026): 100232. Download
28 - Najjar-Ghabel S, Yousefimehr B, Daneshpour A, Kozhanov M, Amirov A. Deep learning and gradient boosting for predicting educational attainment based on socioeconomic and regional features. Eurasian J. Math. Comput. Appl. 2026;14(2):95-114.
27 - Najjar-Ghabel S, Yousefi S, Ammar Jabbar B. An optimized LSTM-based strategy for exercise type recognition using fitness tracker data. AUT J Math Comput. 2026;():e6084. doi: 10.22060/ajmc.2025.24446.1424 Download
26 - Yousefi, S., Najjar-Ghabel, S. An Efficient Device Deployment Strategy for Obstacle-constrained Industrial Internet of Things. Mobile Netw Appl 31, 240–256 (2026). https://doi.org/10.1007/s11036-026-02510-y
25 - M Abd Alwahid Dawood Al-Shammari, M Siahkouhian, L Bolboli, ...,Design, Development, and Validation of a Distance Maximum-Based Algorithm for Estimating Aerobic and Anaerobic Thresholds in Polarized Training Models,2026
24 - MHAAD Al-Shammari, M Siakkohian, L Bolboli, A Abravesh, ...,Comparison of Aerobic and Anaerobic Threshold Determination Using Gas Analyzer, Heart Rate Performance Curve-Based Software, and the Distance Maximum-Based Algorithm Method,2026
23 - S Najjar-Ghabel, S Yousefi, RDB Savar,Binary Classification of Capuchin Bird Calls via Spectrogram-Enhanced Frequency-Aware Convolutional Neural Networks,2025
22 - S Najjar-Ghabel, S Yousefi, EH Ismael,Enhancing Melanoma Detection through Multi-Modal Learning: Integration of Dermoscopic Images and Clinical Data,2025
21 - S Yousefi, S Najjar-Ghabel, ZS Owaid,A Supervised Learning-based Framework for Failure Detection in Toy Cars Using Acoustic Signal Analysis,2025
20 - S Yousefi, S Najjar-Ghabel, R Danehchin, SS Band, CC Hsu, A Mosavi,Automatic melanoma detection using discrete cosine transform features and metadata on dermoscopic images,2024
19 - S Najjar-Ghabel, S Yousefi, P Habibi,Comparative Analysis and Practical Implementation of Machine Learning Algorithms for Phishing Website Detection,2024
18 - S Yousefi, S Najjar-Ghabel, H Shafaei,A Technical Analysis and Practical Implementation of Machine Learning Algorithms for Predicting Survival in Breast Cancer Patients,2024
17 - S Najjar-Ghabel, L Farzinvash, SN Razavi,Data harvesting in wireless sensor networks using mobile sinks under real-world circumstances,2023
16 - S Yousefi, S Najjar-Ghabel,Automatic Lung Diseases Identification using Discrete Cosine Transform-based Features in Radiography Images,2023
15 - S Najjar-Ghabel, S Yousefi, H Karimipour,Blockchain Applications in the Industrial Internet of Things,2021
14 - S Molaei, H Moazen, S Najjar-Ghabel, L Farzinvash,Particle swarm optimization with an enhanced learning strategy and crossover operator,2021
13 - S Najjar-Ghabel, L Farzinvash, SN Razavi,HPDMS: high-performance data harvesting in wireless sensor networks with mobile sinks,2020
12 - S Najjar-Ghabel, L Farzinvash, SN Razavi,Mobile sink-based data gathering in wireless sensor networks with obstacles using artificial intelligence algorithms,2020
11 - L Farzinvash, S Najjar-Ghabel, T Javadzadeh,A distributed and energy-efficient approach for collecting emergency data in wireless sensor networks with mobile sinks,2019
10 - S NAJJAR-GHABEL, S YOUSEFI, L FARZINVASH,Reliable data gathering in the internet of things using artificial bee colony,2018
9 - S Najjar-Ghabel, S Yousefi,Enhancing Performance of Face Detection in Visual Sensor Networks with a Dynamic-based Approach,2017
8 - S Molaei, S Najjar-Ghabel, L Farzinvash,An effective cipher block scheme based on cellular automata,2017
7 - S Najjar-Ghabel, L Mohammad Khanli,Enhancing search speed in preprocessing mechanism of network intrusion detection systems using network on chip,2017
6 - S Yousefi, S Najjar-Ghabel, L Farzinvash,High Speed Image Encryption Using Network on Chip,2017
5 - S Yousefi, S Najjar Ghabel,A SURVEY ON OBJECT DETECTION METHODS IN VISUAL SENSOR NETWORKS,2016
4 - S Najjar-Ghabel, S Yousefi, MZ Lighvan,A high speed implementation counter mode cryptography using hardware parallelism,2016
3 - S Najjar Ghabel, M Zolfy Lighvan, A Mohammad Baklou, ...,Search acceleration in preprocessing mechanism of network intrusion detection systems using graphics processors,2015
2 - S Yousefi, S Najjar Ghabel, L Mohammadkhanli,Modeling Causal Consistency in a Distributed Shared Memory using Hierarchical Colored Petri Net,2015
1 - S Najjar Ghabel, S Pashazadeh,Modeling Automatic Generator of Optimal and Minimal Covers of Functional Dependency,2015

Faculty Mentor of the Computer Engineering Student Association

The Deputy of Innovation Center at the Innovation and Growth Center of the University of Mohaghegh Ardabili



برنامه هفتگی استاد در ترم جاری

نام درس مقطع زمان و مکان ارائه
PhD
Master

1 - Development of a Deep Learning-based System for Classifying Lumbar Spine MRI Images, Mina Hashemi, 2025