Dr. Mohammad Saber Iraji – Curriculum Vitae
Personal Information
Name: Mohammad Saber Iraji
Email: iraji.ms@gmail.com
Phone: 01732465086
Address: Golestan Province, Gorgan, Iran
Google Scholar: https://scholar.google.com/citations?user=4DIOapcAAAAJ
Citations: 405 | H-index: 11
Place of Birth: Gorgan, Iran
Nationality: Iranian
- Faculty Member, Department of Computer Engineering, Payame Noor University, Iran (2011–Present)
Education
Ph.D. in Computer Engineering – Artificial Intelligence and Robotics
University of Tabriz (Public University), GPA: 19.87/20
Supervisor: Prof. Mohammad Reza Feizi-Derakhshi
M.Sc. in Computer Science
Islamic Azad University, Sari, GPA: 19.35/20
M.Sc. in Industrial Engineering – Systems Management and Productivity
Khatam University, Tehran, GPA: 18.09/20
Supervisor: Dr. Abdolhamid Eshragh Jahromi (Sharif University of Technology)
B.Sc. in Computer Engineering – Software
North University of Amol, GPA: 16.89/20
Diploma in Mathematics and Physics, GPA: 19.35/20
International Journal Articles (SCI / Scopus Indexed)
1. A novel wavelet-transformer discriminator for semi-supervised GANs with controlled regularization and ensemble techniques – Multimedia Tools and Applications, 2025.
2. Semi-supervised generative adversarial networks for imbalanced skin lesion diagnosis with an unbiased generator and informative images – Engineering Applications of Artificial Intelligence, 2025 (IF = 8).
3. Improved COVID-19 Diagnosis Using a Hybrid Transfer Learning Model with Fuzzy Edge Detection on CT Scan Images – Advances in Fuzzy Systems (Wiley), 2024.
4. A novel interpolation consistency for Bad Generative Adversarial Networks (IC-BGAN) – Multimedia Tools and Applications (Springer), 2024.
5. A novel individual-relational consistency for bad semi-supervised generative adversarial networks (IRC-BSGAN) in image classification and synthesis – Applied Intelligence (Springer), 2024.
6. Image classification with consistency-regularized bad semi-supervised generative adversarial networks: a visual data analysis and synthesis – The Visual Computer (Springer), 2024.
7. Druggable protein prediction using a multi-channel deep convolutional neural network based on autocovariance method – Computers in Biology and Medicine (Elsevier), 2022.
8. MMF clustering: An on-demand one-hop cluster management in MANET services executing perspective – Wireless Personal Communications (Springer), 2022.
9. COVID-19 detection using deep convolutional neural networks and binary differential algorithm-based feature selection from X-ray images – Complexity (Wiley), 2021.
10. Increasing the quality of services and resource utilization in vehicular cloud computing using best host selection methods – Cluster Computing (Springer), 2020 (IF = 3.5).
11. Prediction of fetal state from cardiotocogram recordings using neural network models – Artificial Intelligence in Medicine (Elsevier), 2019 (IF = 4.3).
12. Combining predictors for multi-layer architecture of adaptive fuzzy inference system – Cognitive Systems Research (Elsevier), 2019 (IF = 1.4).
13. Deep stacked sparse auto-encoders for prediction of post-operative survival expectancy in thoracic lung cancer surgery – Journal of Applied Biomedicine (Elsevier), 2019 (IF = 1.8).
14. Comparison between soft computing methods for tomato quality grading using machine vision – Journal of Food Measurement and Characterization (Springer), 2018 (IF = 1.8).
15. Multi-layer architecture for adaptive fuzzy influence system with a large number of input features – Cognitive Systems Research (Elsevier), 2017 (IF = 1.25).
16. Prediction of post-operative life expectancy in thoracic surgery using soft computing methods – Journal of Applied Biomedicine (Elsevier), 2017 (IF = 1.57).
17. Hypermedia web software effort estimation using adaptive neuro-fuzzy inference system – Journal of Theoretical and Applied Information Technology (Scopus–INSPEC), 2016.
18. Fake banknote classification using adaptive neuro-fuzzy system and wavelet transform – International Journal of Computer Science and Information Security, 2016 (ISI).
19. Chronic kidney disease prediction using two-layer adaptive neuro-fuzzy inference system topology – International Journal of Computer Science and Information Security, 2016 (ISI).
20. Time-sharing algorithm with dynamic weighted harmonic Round Robin – Journal of Asian Scientific Research, 2015 (ISC, IF = 0.125).
21. An efficient line-clipping algorithm based on Cohen–Sutherland line clipping method – American Journal of Scientific Research, 2011 (ISI).
22. Skin color segmentation in fuzzy YCbCr color space with the Mamdani inference – American Journal of Scientific Research, 2011 (ISI).
23. Classification of tomatoes on machine vision using Mamdani fuzzy and adaptive neuro-fuzzy inference system (ANFIS–Sugeno) – Australian Journal of Basic and Applied Sciences, 2011 (ISI–Scopus).
24. Skin color segmentation in YCbCr color space using adaptive fuzzy neural networks (ANFIS) – International Journal of Image, Graphics and Signal Processing (IJIGSP), 2012 (INSPEC–ProQuest).
25. Object-oriented software effort estimation using adaptive neuro-fuzzy use-case size point (ANFUSP) – International Journal of Intelligent Systems and Applications (IJISA), 2012 (INSPEC–ProQuest).
26. Student classification using adaptive neuro-fuzzy systems – International Journal of Modern Education and Computer Science (IJMECS), 2012 (INSPEC–ProQuest).
27. Object-oriented software usability estimation using adaptive neuro-fuzzy and fuzzy SVM methods – International Journal of Information Engineering and Electronic Business, 2013 (INSPEC–ProQuest).
28. Age estimation based on CLM and tree mixture using adaptive neuro-fuzzy and fuzzy SVM models – International Journal of Image, Graphics and Signal Processing (IJIGSP), 2014 (INSPEC–ProQuest).
29. Algorithms for online order batching for minimizing total tardiness in order-picking warehouses – International Journal of Mechatronics, Electrical and Computer Technology, 2014 (ISC).
30. RMSD protein tertiary structure prediction using adaptive neuro-fuzzy inference system – International Journal of Mathematical Sciences and Computing, 2015 (INSPEC–ProQuest).
31. Fuzzy agent-oriented software effort estimation using COCOMO – International Journal of Intelligent Systems and Applications (IJISA), 2015 (INSPEC–ProQuest).
32. Web page retrieval using adaptive neuro-fuzzy system based on content and structure – International Journal of Modern Education and Computer Science, 2015 (INSPEC–ProQuest).
International Conference Papers
1. Failure detection and classification of circular sheets using Perceptron neural networks, LVQ and neuro-fuzzy methods – IEEE International Conference on Intelligent and Advanced Systems (ICIAS 2010).
2. Color separation system design for circular sheets using Perceptron and neuro-fuzzy networks – 1st International Conference on Industrial Automation, Sharif University of Technology, 2009.
3. Energy efficiency of buildings using multi-layer Sub-ANFIS (6-2-5) – 5th International Conference on Computer Science, Electrical and Electronics Engineering.
4. Breast tissue prediction using multi-layer Sub-ANFIS models – 5th International Conference on Computer Science, Electrical and Electronics Engineering.
5. Selecting the best combination of features for fertility prediction using multi-layer Sub-ANFIS (5-2) – 1st International Conference on Combinatorics, Cryptography and Computation.
Books (Authored/Translated)
1. Neural and Neuro-Fuzzy Systems (ISBN: 978-964-151-788-7)
2. Computer Graphics (ISBN: 978-964-151-216-5)
3. Practical Guide to Wavelet Toolbox in MATLAB (ISBN: 978-600-04-2831-0)
4. Android and iOS Programming with Delphi XE (ISBN: 978-600-04-3742-8)
5. Modeling Petri Nets with CPNTools (ISBN: 978-600-364-899-9)
Research Projects (Principal Investigator)
1. Non-exclusive scheduling algorithm with intelligent time slicing (Round Robin) – Payame Noor University, 2014.
2. Web software cost estimation using Sugeno neuro-fuzzy systems – Payame Noor University, 2015.
3. Chronic kidney disease prediction using two-layer adaptive neuro-fuzzy networks – Payame Noor University, 2016.
4. Hybrid learning for ANFIS with high-dimensional input features – Payame Noor University, 2018.
5. Postoperative survival prediction in lung cancer surgery using deep neural networks – Payame Noor University, 2018.
Committee Memberships and Editorial Roles
- Program Committee Member, 14th International Conference on Information Technology Convergence and Services (ITCSE 2025)
-Program Committee Member, 6th International Conference on IoT, Block chain & Cloud Computing (IBCOM 2025), November 22 ~ 23, 2025, London, United Kingdom
-Editorial Board Member, SCIREA Journal of Mathematics
-Associate Editor, Annals of Advanced Biomedical Sciences (AABSc)
- Program Committee Member, 8th International Conference on Soft Computing (SCOM 2020), Dubai
- Program Committee Member (STEM Track), International Conference on Multidisciplinary Research (MYRES 2018), Mauritius
-Member of Committee, International Conference on Computer Science and Information Engineering, December 29-30, 2017, Sanya, China
-Member of Organizing Committee, World Congress & Expo on Healthcare IT Theme: Innovative Technologies to Enhance the Current Healthcare Systems, August 21-22, 2018 Paris, France
- Reviewer for: Computers in Biology and Medicine (Elsevier), Artificial Intelligence Review (Springer), Journal of Supercomputing (Springer), Biomedical signal processing and control.
Workshops Conducted
· 2014 – Workshop on Applications of Neural and Fuzzy Networks in Sciences, Payame Noor University of Golestan Province – exclusively for university faculty members.
· 2014 – Training course on Android Programming Skills and Neuro-Fuzzy Networks using MATLAB, E-Learning System of Payame Noor University.
· 2025 – Workshop on Artificial Intelligence, Golestan Provincial Department of Education – 8 hours.
· 2025 – Workshop on Artificial Intelligence, Golestan University of Medical Sciences – 8 hours.
· 2024 – Workshop on Artificial Intelligence, Golestan Public Libraries Organization – 4 hours.
· 2024 – Workshop on Artificial Intelligence, Payame Noor University of Golestan Province – 2 hours.
Work Experience
- Vice Chancellor for Education and Research, Payame Noor University of Golestan Province (2024–Present)
- Faculty Member (Assistant Professor), Department of Computer Engineering, Payame Noor University, Aliabad (2011–Present)
- IT Expert, Golestan Public Libraries Organization (2011)
- Computer Department Head, Imam Ali Teacher Training College, Kordkuy (2009–2010)
- Instructor, Technical and Vocational Training Organization (2004–2006)
- University Lecturer, various universities in Golestan Province (2004–Present)
Technical and Professional Skills
1. Academic Writing & Reviewing – Writing, editing, and peer-reviewing scientific papers for international journals.
2. Artificial Intelligence Modeling – Design and implementation of AI-based models for data analysis and prediction.
3. Machine Learning & Deep Learning – Supervised, semi-supervised, and adversarial learning using Python and MATLAB.
4. Data Mining – Neural networks, fuzzy systems, and association rule–based data analysis.
5. Image Processing – MATLAB-based image analysis using deep neural networks and ANFIS models.
6. Neural Networks – Proficient in Perceptron, LVQ, SOFM, and Feedforward Neural Networks (FNN).
7. Fuzzy Logic Systems – Implementation of fuzzy inference systems using MATLAB 7.1.
8. Neuro-Fuzzy Systems – Modeling and simulation using FUZZY TECH software.
9. Programming Languages:
o Delphi
o C++
o VB.NET
o C#.NET
o Android Development
10. Databases:
o SQL Server 2005
o Microsoft Access
11. Web Development:
o ASP.NET 2 with AJAX
o Web Server Design with IIS
12. Systems Analysis:
o UML Modeling using Rational Rose
13. Networking:
o Installation and configuration of wireless networks, Domain, DNS, DHCP, MikroTik, and NAT services.
14. Hardware Maintenance:
o Troubleshooting, repair, and maintenance of hardware systems.
Honors and Awards
- Top Researcher in Computer Science, Payame Noor University of Iran, 2019
- Best Researcher in Engineering, Golestan Province, 2016
- Top Researcher, Golestan Public Libraries Organization, 2012
- Top M.Sc. Student, Islamic Azad University, Sari
- 2nd Rank, B.Sc. in Computer Engineering, North University of Amol
Research Interests
- Machine Learning, Deep Learning, and Semi-supervised Learning
- Image Processing and Computer Vision
- Fuzzy Logic and Neuro-Fuzzy Systems
- Artificial Intelligence in Medicine
- Data Mining and Pattern Recognition
- Robotics and Intelligent Systems
-Generative models
-Multimodal AI