Towards the Internet of Things - Architectures, Security, and Applications - Mohammad Ali Jabraeil Jamali; Bahareh Bahrami; Arash Heidari; Parisa Allahverdizadeh; Farhad Norouzi (Springer, 2020)

Internet of Things offloading: Ongoing issues, opportunities, and future challenges. - Arash Heidari; Mohammad Ali Jabraeil Jamali; Nima Jafari Navimipour; Shahin Akbarpour (Int. J. Commun. Syst., 2020)

A new SLA-aware method for discovering the cloud services using an improved nature-inspired optimization algorithm. - Arash Heidari; Nima Jafari Navimipour (PeerJ Comput. Sci., 2021)

Finding Knees in Bayesian Multi-objective Optimization. - Arash Heidari; Jixiang Qing; Sebastian Rojas-Gonzalez; Jürgen Branke; Tom Dhaene; Ivo Couckuyt (PPSN (1), 2022)

The COVID-19 epidemic analysis and diagnosis using deep learning: A systematic literature review and future directions. - Arash Heidari; Nima Jafari Navimipour; Mehmet Unal; Shiva Toumaj (Comput. Biol. Medicine, 2022)

A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain. - Arash Heidari; Shiva Toumaj; Nima Jafari Navimipour; Mehmet Unal (Comput. Biol. Medicine, 2022)

Service discovery mechanisms in cloud computing: a comprehensive and systematic literature review. - Arash Heidari; Nima Jafari Navimipour (Kybernetes, 2022)

Machine learning applications for COVID-19 outbreak management. - Arash Heidari; Nima Jafari Navimipour; Mehmet Unal; Shiva Toumaj (Neural Comput. Appl., 2022)

Data-Efficient Interactive Multi-objective Optimization Using ParEGO. - Arash Heidari; Sebastian Rojas-Gonzalez; Tom Dhaene; Ivo Couckuyt (PKDD/ECML Workshops (3), 2023)

A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems. - Arash Heidari; Danial Javaheri; Shiva Toumaj; Nima Jafari Navimipour; Mahsa Rezaei; Mehmet Unal (Artif. Intell. Medicine, 2023)

A QoS-Aware Technique for Computation Offloading in IoT-Edge Platforms Using a Convolutional Neural Network and Markov Decision Process. - Arash Heidari; Mohammad Ali Jabraeil Jamali; Nima Jafari Navimipour; Shahin Akbarpour (IT Prof., 2023)

Resilient and dependability management in distributed environments: a systematic and comprehensive literature review. - Zahra Amiri; Arash Heidari; Nima Jafari Navimipour; Mehmet Unal (Clust. Comput., 2023)

A green, secure, and deep intelligent method for dynamic IoT-edge-cloud offloading scenarios. - Arash Heidari; Nima Jafari Navimipour; Mohammad Ali Jabraeil Jamali; Shahin Akbarpour (Sustain. Comput. Informatics Syst., 2023)

A Secure Intrusion Detection Platform Using Blockchain and Radial Basis Function Neural Networks for Internet of Drones. - Arash Heidari; Nima Jafari Navimipour; Mehmet Unal (IEEE Internet Things J., 2023)

An Efficient Design of Multiplier for Using in Nano-Scale IoT Systems Using Atomic Silicon. - Seyed-Sajad Ahmadpour; Arash Heidari; Nima Jafari Navimipour; Mohammad-Ali Asadi; Senay Yalçin (IEEE Internet Things J., 2023)

A hybrid approach for latency and battery lifetime optimization in IoT devices through offloading and CNN learning. - Arash Heidari; Nima Jafari Navimipour; Mohammad Ali Jabraeil Jamali; Shahin Akbarpour (Sustain. Comput. Informatics Syst., 2023)

The applications of machine learning techniques in medical data processing based on distributed computing and the Internet of Things. - Sarina Aminizadeh; Arash Heidari; Shiva Toumaj; Mehdi Darbandi; Nima Jafari Navimipour; Mahsa Rezaei; Samira Talebi; Poupak Azad; Mehmet Unal (Comput. Methods Programs Biomed., 2023)

Internet of Things intrusion detection systems: a comprehensive review and future directions. - Arash Heidari; Mohammad Ali Jabraeil Jamali (Clust. Comput., 2023)

Machine Learning Applications in Internet-of-Drones: Systematic Review, Recent Deployments, and Open Issues. - Arash Heidari; Nima Jafari Navimipour; Mehmet Unal; Guodao Zhang (ACM Comput. Surv., 2023)

Lower Confidence Bound for Preference Selection in Interactive Multi-Objective Optimization. - Arash Heidari; Sebastian Rojas-Gonzalez; Tom Dhaene; Ivo Couckuyt (GECCO Companion, 2024)

Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service. - Sarina Aminizadeh; Arash Heidari; Mahshid Dehghan; Shiva Toumaj; Mahsa Rezaei; Nima Jafari Navimipour; Fabio Stroppa; Mehmet Unal (Artif. Intell. Medicine, 2024)

Deep study on autonomous learning techniques for complex pattern recognition in interconnected information systems. - Zahra Amiri; Arash Heidari; Nima Jafari; Mehdi Hosseinzadeh 001 (Comput. Sci. Rev., 2024)

A GSO-based multi-objective technique for performance optimization of blockchain-based industrial Internet of things. - Kouros Zanbouri; Mehdi Darbandi; Mohammad Nassr; Arash Heidari; Nima Jafari Navimipour; Senay Yalçin (Int. J. Commun. Syst., 2024)

Everything you wanted to know about ChatGPT: Components, capabilities, applications, and opportunities. - Arash Heidari; Nima Jafari Navimipour; Sherali Zeadally; Vinay Chamola (Internet Technol. Lett., 2024)

Adventures in data analysis: a systematic review of Deep Learning techniques for pattern recognition in cyber-physical-social systems. - Zahra Amiri; Arash Heidari; Nima Jafari Navimipour; Mehmet Unal; Ali Mousavi (Multim. Tools Appl., 2024)

Implementation of a Product-Recommender System in an IoT-Based Smart Shopping Using Fuzzy Logic and Apriori Algorithm. - Shu-Rong Yan; Sina Pirooznia; Arash Heidari; Nima Jafari Navimipour; Mehmet Unal (IEEE Trans. Engineering Management, 2024)

Deepfake detection using deep learning methods: A systematic and comprehensive review. - Arash Heidari; Nima Jafari Navimipour; Hasan Dag; Mehmet Unal (WIREs Data. Mining. Knowl. Discov., 2024)

The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review. - Zahra Amiri; Arash Heidari; Nima Jafari Navimipour; Mansour Esmaeilpour; Yalda Yazdani (Neural Comput. Appl., 2024)

A Novel Blockchain-Based Deepfake Detection Method Using Federated and Deep Learning Models. - Arash Heidari; Nima Jafari Navimipour; Hasan Dag; Samira Talebi; Mehmet Unal (Cogn. Comput., 2024)

The applications of nature-inspired algorithms in Internet of Things-based healthcare service: A systematic literature review. - Zahra Amiri; Arash Heidari; Mohammad Zavvar; Nima Jafari Navimipour; Mansour Esmaeilpour (Trans. Emerg. Telecommun. Technol., 2024)

A new service composition method in the cloud-based Internet of things environment using a grey wolf optimization algorithm and MapReduce framework. - Asrin Vakili; Hamza Mohammed Ridha Al-Khafaji; Mehdi Darbandi; Arash Heidari; Nima Jafari Navimipour; Mehmet Unal (Concurr. Comput. Pract. Exp., 2024)

A reliable method for data aggregation on the industrial internet of things using a hybrid optimization algorithm and density correlation degree. - Arash Heidari; Houshang Shishehlou; Mehdi Darbandi; Nima Jafari Navimipour; Senay Yalçin (Clust. Comput., 2024)

Botnets Unveiled: A Comprehensive Survey on Evolving Threats and Defense Strategies. - Mehdi Asadi; Mohammad Ali Jabraeil Jamali; Arash Heidari; Nima Jafari Navimipour (Trans. Emerg. Telecommun. Technol., 2024)

Assessment of reliability and availability of wireless sensor networks in industrial applications by considering permanent faults. - Arash Heidari; Zahra Amiri; Mohammad Ali Jabraeil Jamali; Nima Jafari (Concurr. Comput. Pract. Exp., 2024)

Leveraging explainable artificial intelligence for transparent and trustworthy cancer detection systems. - Shiva Toumaj; Arash Heidari; Nima Jafari Navimipour (Artif. Intell. Medicine, 2025)

Neurodegenerative disorders: A Holistic study of the explainable artificial intelligence applications. - Hongyuan Wang; Shiva Toumaj; Arash Heidari; Alireza Souri; Nima Jafari; Yiping Jiang (Eng. Appl. Artif. Intell., 2025)

Towards Trustworthy Surrogate Models for Augmenting Certification: Fuel Tank Flammability Reduction System. - Arash Heidari; Lorin Werthen-Brabants; Sebastian Rojas-Gonzalez; Ivo Couckuyt; Can Onur; Pieter van Gils; Ivana Jojic (J. Aerosp. Inf. Syst., 2025)

Applications of deep learning in Alzheimer's disease: a systematic literature review of current trends, methodologies, challenges, innovations, and future directions. - Shiva Toumaj; Arash Heidari; Reza Shah-Hosseini; Nima Jafari Navimipour (Artif. Intell. Rev., 2025)

An Innovative Performance Assessment Method for Increasing the Efficiency of AODV Routing Protocol in VANETs Through Colored Timed Petri Nets. - Arash Heidari; Mohammad Ali Jabraeil Jamali; Nima Jafari Navimipour (Concurr. Comput. Pract. Exp., 2025)

Securing and optimizing IoT offloading with blockchain and deep reinforcement learning in multi-user environments. - Arash Heidari; Nima Jafari Navimipour; Mohammad Ali Jabraeil Jamali; Shahin Akbarpour (Wirel. Networks, 2025)

A New Median Filter Circuit Design Based on Atomic Silicon Quantum-Dot for Digital Image Processing and IoT Applications. - Seyed-Sajad Ahmadpour; Danial Bakhshayeshi Avval; Nima Jafari Navimipour; Hadi Rasmi; Arash Heidari; Sankit Ramkrishna Kassa; Neeraj Kumar Misra; Ahmad Habibizad Navin; Mohammad Mosleh; Mehdi Hosseinzadeh 001; Mukesh Patidar (IEEE Internet Things J., 2025)

A New Flow-Based Approach for Enhancing Botnet Detection Efficiency Using Convolutional Neural Networks and Long Short-Term Memory. - Mehdi Asadi; Arash Heidari; Nima Jafari Navimipour (Knowl. Inf. Syst., 2025)

Correction: Securing and optimizing IoT offloading with blockchain and deep reinforcement learning in multi-user environments. - Arash Heidari; Nima Jafari Navimipour; Mohammad Ali Jabraeil Jamali; Shahin Akbarpour (Wirel. Networks, 2025)