Journal of AI, Data Science and Cyber Systems

Mehdi Gheisari is a PhD holder at the crossroads of AI, data science, and cyber systems with 15+ years specializing in privacy-preserving technologies for intelligent connected environments. Ranked among the top 2% of global scientists (Stanford University, 2024–2025), he blends cutting-edge AI, data-driven security, and resilient cyber infrastructure. A author of highly cited top-tier publications and tech patents, he leads global collaborations and contributes to international technical communities. As an editor, he fosters cross-disciplinary innovation, uniting global talent to advance trusted solutions in AI, data science, and cyber systems.

• Cyber security
• Data protection
• IoT

Actively involved in interdisciplinary research spanning artificial intelligence, cybersecurity, IoT, smart cities, autonomous systems, healthcare informatics, and data privacy.

Significant contributions to privacy-preserving architectures, ontology-based frameworks, and secure data aggregation for IoT and autonomous environments.

Developed and evaluated novel machine learning and deep learning models for text classification, sentiment analysis, medical diagnosis, image processing, and time-series forecasting.

Conducted large-scale survey and review studies on deep learning, big data, privacy-preserving technologies, and intelligent systems, widely cited by the research community.

Strong record of international collaboration with researchers from Asia, Europe, the Middle East, and Australia.

K. Suresh Kumar, A. S. Radhamani, T. Ananth Kumar, Ahmad Jalili, Mehdi Gheisari, Yasir Malik, Hsing-Chung Chen, Ata Jahangir Moshayedi: Sentiment Analysis of Short Texts Using SVMs and VSMs-Based Multiclass Semantic Classification. Appl. Artif. Intell. 38(1) (2024)

Wei Xiang, Yunkai Deng, Rui Zhang, Dacheng Liu, Xiaoxue Jia, Mahdieh Shirmohammadi, Mehdi Gheisari: Geodetic imaging and dynamic modeling of saline mudflat using time-series InSAR in Howz-e-Soltan Salt Lake, Qom, Iran. Int. J. Appl. Earth Obs. Geoinformation 127: 103690 (2024)

Mehdi Gheisari, Wazir Zada Khan, Hamid Esmaeili Najafabadi, Gavin McArdle, Hamidreza Rabiei-Dastjerdi, Yang Liu, Christian Fernández-Campusano, Hemn Barzan Abdalla: CAPPAD: a privacy-preservation solution for autonomous vehicles using SDN, differential privacy and data aggregation. Appl. Intell. 54(4): 3417-3428 (2024)

Ahmad Jalili, Jafar Ahmad Abed Alzubi, Roghayeh Rezaei, Julian L. Webber, Christian Fernández-Campusano, Mehdi Gheisari, Rashid Amin, Abolfazl Mehbodniya: Markov chain-based analysis and fault tolerance technique for enhancing chain-based routing in WSNs. Concurr. Comput. Pract. Exp. 36(12) (2024)

Saman Jamshidi, Mahin Mohammadi, Saeed Bagheri, Hamid Esmaeili Najafabadi, Alireza Rezvanian, Mehdi Gheisari, Mustafa Ghaderzadeh, Amir Shahab Shahabi, Zongda Wu: Effective text classification using BERT, MTM LSTM, and DT. Data Knowl. Eng. 151: 102306 (2024)

Hamidreza Rokhsati, Khosro Rezaee, Aaqif Afzaal Abbasi, Samir Brahim Belhaouari, Jana Shafi, Yang Liu, Mehdi Gheisari, Ali Akbar Movassagh, Saeed Kosari: An efficient computer-aided diagnosis model for classifying melanoma cancer using fuzzy-ID3-pvalue decision tree algorithm. Multim. Tools Appl. 83(31): 76731-76751 (2024)

Seyede Shahrzad Ahooei Nezhad, Mohammad Javad Valadan Zoej, Kourosh Khoshelham, Arsalan Ghorbanian, Mahdi Farnaghi, Sadegh Jamali, Fahimeh Youssefi, Mehdi Gheisari: Best Scanline Determination of Pushbroom Images for a Direct Object to Image Space Transformation Using Multilayer Perceptron. Remote. Sens. 16(15): 2787 (2024)

Mehdi Gheisari, Aminreza Karamoozian, Jiechao Gao, Hemn Barzan Abdalla, Shuja Ansari, Riaz Ullah Khan, Zhaoxi Fang: Accident reduction through a privacy-preserving method on top of a novel ontology for autonomous vehicles with the support of modular arithmetic. Veh. Commun. 46: 100732 (2024)

Mehdi Gheisari, Fereshteh Ebrahimzadeh, Mohamadtaghi Rahimi, Mahdieh Moazzamigodarzi, Yang Liu, Pijush Kanti Dutta Pramanik, Mohammad Ali Heravi, Abolfazl Mehbodniya, Mustafa Ghaderzadeh, Mohammad Reza Feylizadeh, Saeed Kosari: Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey. CAAI Trans. Intell. Technol. 8(3): 581-606 (2023)

Nilayam Kumar Kamila, Subhendu Kumar Pani, Rashmi Das, P. K. Bharti, Hamid Esmaeili Najafabadi, Mehdi Gheisari, Yang Liu: A near-optimal & load balanced resilient system design for high-performance computing platform. Clust. Comput. 26(2): 1535-1550 (2023)