An Improved Authentication Scheme for Electronic Payment Systems in Global Mobility Networks. - Mohammad Heydari; Seyed Mohammad Sajad Sadough; Shehzad Ashraf Chaudhry; Mohammad Sabzinejad Farash; Mohammad Reza Aref (Inf. Technol. Control., 2015)

An Efficient Password-Based Authenticated Key Exchange Protocol with Provable Security for Mobile Client-Client Networks. - Mohammad Heydari; Seyed Mohammad Sajad Sadough; Mohammad Sabzinejad Farash; Shehzad Ashraf Chaudhry; Khalid Mahmood 002 (Wirel. Pers. Commun., 2016)

TRAWL: Protection against rogue sites for the masses. - Antonia Nisioti; Mohammad Heydari; Alexios Mylonas; Vasilios Katos; Vahid Heydari Fami Tafreshi (RCIS, 2017)

A lightweight anonymous authentication scheme for consumer roaming in ubiquitous networks with provable security. - Mohammad Sabzinejad Farash; Shehzad Ashraf Chaudhry; Mohammad Heydari; Seyed Mohammad Sajad Sadough; Saru Kumari; Muhammad Khurram Khan (Int. J. Commun. Syst., 2017)

An improved one-to-many authentication scheme based on bilinear pairings with provable security for mobile pay-TV systems. - Mohammad Heydari; Seyed Mohammad Sajad Sadough; Shehzad Ashraf Chaudhry; Mohammad Sabzinejad Farash; Khalid Mahmood 002 (Multim. Tools Appl., 2017)

Towards Indeterminacy-Tolerant Access Control in IoT. - Mohammad Heydari; Alexios Mylonas; Vasileios Katos; Dimitris Gritzalis (Handbook of Big Data and IoT Security, 2019)

Uncertainty-Aware Authentication Model for IoT. - Mohammad Heydari; Alexios Mylonas; Vasilis Katos; Emili Balaguer-Ballester; Amna Altaf; Vahid Heydari Fami Tafreshi (CyberICPS/SECPRE/SPOSE/ADIoT@ESORICS, 2019)

Uncertainty-Aware Authentication Model for Fog Computing in IoT. - Mohammad Heydari; Alexios Mylonas; Vasilios Katos; Emili Balaguer-Ballester; Vahid Heydari Fami Tafreshi; Elhadj Benkhelifa (FMEC, 2019)

A Location-Aware Authentication Model to Handle Uncertainty in IoT. - Mohammad Heydari; Alexios Mylonas; Vasilios Katos; Emili Balaguer-Ballester; Vahid Heydari Fami Tafreshi; Elhadj Benkhelifa (IoTSMS, 2019)

Analysis of ResearchGate, A Community Detection Approach. - Mohammad Heydari; Babak Teimourpour (CoRR, 2020)

Known unknowns: Indeterminacy in authentication in IoT. - Mohammad Heydari; Alexios Mylonas; Vahid Heydari Fami Tafreshi; Elhadj Benkhelifa; Surjit Singh (Future Gener. Comput. Syst., 2020)

Correction of trust region method with a new modified Newton method. - Tayebeh Dehghan Niri; Mohammad Heydari; M. M. Hosseini 001 (Int. J. Comput. Math., 2020)

Indeterminacy-aware prediction model for authentication in IoT. - Mohammad Heydari (2020)

A two-step improved Newton method to solve convex unconstrained optimization problems. - Tayebeh Dehghan Niri; Seyed Abolfazl Shahzadeh Fazeli; Mohammad Heydari (J. Appl. Math. Comput., 2020)

Two nonmonotone trust region algorithms based on an improved Newton method. - Tayebeh Dehghan Niri; Mohammad Heydari; Mohammad Mahdi Hosseini 001 (J. Appl. Math. Comput., 2020)

An improvement of adaptive cubic regularization method for unconstrained optimization problems. - Tayebeh Dehghan Niri; Mohammad Heydari; Mohammad-Mehdi Hosseini 001 (Int. J. Comput. Math., 2021)

OntoCyrene: Towards Ontology-Enhanced Asset Modelling for Supply Chains in the Context of Cyber Security. - Mohammad Heydari; Haralambos Mouratidis; Vahid Heydari Fami Tafreshi (CyberICPS/SECPRE/SPOSE/CPS4CIP/CDT&SECOMAN/EIS/SecAssure@ESORICS, 2022)

Effects of Rural Habitat Distribution and Farm Size on Food Production Index Growth in Sub-Saharan African Region: A Case of East Africa Countries. - Ndoricimpa Siméon; Xiaoyang Li; Mohammad Heydari (HAICTA, 2022)

Prediction of Maximum Temperatures by Time Series and Artificial Neural Networks (Case Study: Isfahan Station). - Mohammad Heydari; Hamed Benisi Ghadim; Mohammad Salarian (IICAIET, 2022)

A simple and efficient preprocessing step for convex hull problem. - Mohammad Heydari; Ashkan Khalifeh (CoRR, 2023)

Analysis of Insect-Plant Interactions Affected by Mining Operations, A Graph Mining Approach. - Ali Bayat; Mohammad Heydari; Amir Albadvi (CoRR, 2023)

Graph Representation Learning Towards Patents Network Analysis. - Mohammad Heydari; Babak Teimourpour (CoRR, 2023)

Telemedicine technologies and applications in the era of COVID-19 pandemic: A systematic review. - Esmaeil Mehraeen; Seyed Ahmad Seyedalinaghi; Mohammad Heydari; Amirali Karimi; Abdollah Mahdavi; Mehrnaz Mashoufi; Arezoo Sarmad; Peyman Mirghaderi; Ahmadreza Shamsabadi; Kowsar Qaderi; Pegah Mirzapour; Amirata Fakhfouri; et al. (Health Informatics J., 2023)

Design, development and evaluation of a mobile-based self-care application for patients with COVID-19 not requiring hospitalization; a study of Northwest of Iran. - Mohammad Heydari; Esmaeil Mehraeen; Elham Javaherikiyan; Nahid Mehrabi; Mostafa Langarizadeh; Vahideh Aghamohammadi; Hamed Rezakhani Moghaddam; Khadijeh Nasiri (BMC Medical Informatics Decis. Mak., 2023)

Convergence analysis of an iterative scheme to solve a family of functional Volterra integral equations. - Farideh Zare; Mohammad Heydari; Ghasem Barid Loghmani (Appl. Math. Comput., 2024)

Convolutional Neural Networks Towards Facial Skin Lesions Detection. - Reza Sarshar; Mohammad Heydari; Elham Akhondzadeh Noughabi (CoRR, 2024)

Analysis of Persian News Agencies on Instagram, A Words Co-occurrence Graph-based Approach. - Mohammad Heydari; Babak Teimourpour (CoRR, 2024)

Challenges and Experiences of Iranian Developers with MLOps at Enterprise. - Mohammad Heydari; Zahra Rezvani (CoRR, 2024)

Persian Slang Text Conversion to Formal and Deep Learning of Persian Short Texts on Social Media for Sentiment Classification. - Mohsen Khazeni; Mohammad Heydari; Amir Albadvi (CoRR, 2024)

Deep Learning-based Sentiment Analysis in Persian Language. - Mohammad Heydari; Mohsen Khazeni; Mohammad Ali Soltanshahi (CoRR, 2024)

Distributed Record Linkage in Healthcare Data with Apache Spark. - Mohammad Heydari; Reza Sarshar; Mohammad Ali Soltanshahi (CoRR, 2024)

A simple and efficient preprocessing step for convex hull problem. - Mohammad Heydari; Ashkan Khalifeh; Laxmi Rathour (Discret. Math. Algorithms Appl., 2024)