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	Publications Books [1] A. M. Saghiri, M. D. Khomami, and M. R. Meybodi, Intelligent random walk: an approach based on learning automata (Springer, 2019). [2] A. Rezvanian, A. M. Saghiri, S. M. Vahidipour, M. Esnaashari, and M. R. Meybodi, Recent advances in learning automata (Springer, 2018). Book Chapters [3] A. M. Saghiri, “Cognitive internet of things: challenges and solutions”, in Artificial intelligence-based internet of things systems (Springer, 2022), pp. 335–362. [4] M. Vahdati, K. G. HamlAbadi, and A. M. Saghiri, “Iot-based healthcare monitoring using blockchain”, in Applications of blockchain in healthcare (Springer, 2021), pp. 141–170. [5] A. M. Saghiri, “Blockchain architecture”, in Advanced applications of blockchain technology (Springer, 2020), pp. 161–176. [6] O. R. B. Speily, A. Rezvanian, A. Ghasemzadeh, A. M. Saghiri, and S. M. Vahidipour, “Lurkers versus posters: investigation of the participation behaviors in online learning communities”, in Educational networking (Springer, 2020), pp. 269–298. [7] A. M. Saghiri, K. G. HamlAbadi, and M. Vahdati, “The internet of things, artificial intelligence, and blockchain: implementation perspectives”, in Advanced applications of blockchain technology (Springer, 2020), pp. 15–54. [8] S. Gholami, M. R. Meybodi, and A. M. Saghiri, “A learning automata-based version of sg-1 protocol for super-peer selection in peer-to-peer networks”, in Recent advances in information and communication technology (Springer, 2014), pp. 189–201. Journal Papers [9] A. M. Saghiri, M. R. Jabbarpour, M. Vahidipour, M. Sookhak, and A. Forestiero, “A survey of artificial intelligence challenges: analyzing the definitions, relationships, and evolutions”, Applied Sciences 12, 40–54 (2022). [10] S. Gholami, A. M. Saghiri, S. M. Vahidipour, and M. R. Meybodi, “Hla: a novel hybrid model based on fixed structure and variable structure learning automata”, Journal of Experimental Theoretical Artificial Intelligence, 1 (2022). [11] M. R. Jabbarpour, A. M. Saghiri, and M. Sookhak, “A framework for component selection considering dark sides of artificial intelligence: a case study on autonomous vehicle”, Electronics 10, 384 (2021). [12] N. Amirazodi, A. M. Saghiri, and M. R. Meybodi, “A self-adaptive algorithm for super-peer selection considering the mobility of peers in cognitive mobile peer-to-peer networks”, International Journal of Communication Systems 34, e4661 (2021). [13] E. Rezaee, A. M. Saghiri, and A. Forestiero, “A survey on blockchain-based search engines”, Applied Sciences 11, 7063 (2021). [14] R. Mahmoudi, S. Roozi, A. M. Saghiri, and A. Mahmoudi, “Extracting strategies for improving internet-of-things-based home industries in iran: a strengths, weaknesses, opportunities, and threats analysis”, IEEE Transactions on Engineering Management 68, 586–598 (2020). [15] A. M. Saghiri and M. R. Meybodi, “Open asynchronous dynamic cellular learning automata and its application to allocation hub location problem”, Knowledge-Based Systems 139, 149–169 (2018). [16] A. M. Saghiri and M. R. Meybodi, “An adaptive super-peer selection algorithm considering peers capacity utilizing asynchronous dynamic cellular learning automata”, Applied Intelligence 48, 271–299 (2018). [17] A. M. Saghiri and M. R. Meybodi, “On expediency of closed asynchronous dynamic cellular learning automata”, Journal of computational science 24, 371–378 (2018). [18] N. Amirazodi, A. M. Saghiri, and M. Meybodi, “An adaptive algorithm for super-peer selection considering peer’s capacity in mobile peer-to-peer networks based on learning automata”, Peer-toPeer Networking and Applications 11, 74–89 (2018). [19] A. M. Saghiri and M. R. Meybodi, “A distributed adaptive landmark clustering algorithm based on moverlay and learning automata for topology mismatch problem in unstructured peer-to-peer networks”, International Journal of Communication Systems 30, e2977 (2017). [20] S. F. Deiman, A. M. Saghiri, and M. R. Meybodi, “A delay aware super-peer selection algorithm for gradient topology utilizing learning automata”, Wireless Personal Communications 95, 2611–2624 (2017). [21] A. M. Saghiri and M. R. Meybodi, “A closed asynchronous dynamic model of cellular learning automata and its application to peer-to-peer networks”, Genetic Programming and Evolvable Machines 18, 313–349 (2017). [22] A. M. Saghiri and M. R. Meybodi, “An approach for designing cognitive engines in cognitive peer-to-peer networks”, Journal of Network and Computer applications 70, 17–40 (2016). [23] A. M. Saghiri and M. R. Meybodi, “A self-adaptive algorithm for topology matching in unstructured peer-to-peer networks”, Journal of Network and Systems Management 24, 393–426 (2016). Conference Papers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [24] K. GholizadehHamlabadi, M. Vahdati, A. M. Saghiri, and A. Forestiero, “Digital twins in cancer: state-of-the-art and open research”, in Aiiot4dh workshop at the 2021 ieee/acm conference on connected health: applications, systems, and engineering technologies (chase) (IEEE/ACM, 2022). [25] M. M. D. Khomami, A. Rezvanian, A. M. Saghiri, and M. R. Meybodi, “Solving minimum dominating set in multiplex networks using learning automata”, in 2021 26th international computer conference, computer society of iran (csicc) (IEEE, 2021), pp. 1–6. [26] M. M. D. Khomami, A. Rezvanian, A. M. Saghiri, and M. R. Meybodi, “Sig-cla: a significant community detection based on cellular learning automata”, in 2020 8th iranian joint congress on fuzzy and intelligent systems (cfis) (IEEE, 2020), pp. 039–044. [27] M. M. D. Khomami, A. Rezvanian, A. M. Saghiri, and M. R. Meybodi, “Utilizing cellular learning automata for finding communities in weighted networks”, in 2020 6th international conference on web research (icwr) (IEEE, 2020), pp. 325–329. [28] M. M. D. Khomami, A. Rezvanian, A. M. Saghiri, and M. R. Meybodi, “Overlapping community detection in social networks using cellular learning automata”, in 2020 28th iranian conference on electrical engineering (icee) (IEEE, 2020), pp. 1–6. [29] A. M. Saghiri, “A survey on challenges in designing cognitive engines”, in 2020 6th international conference on web research (icwr) (IEEE, 2020), pp. 165–171. [30] M. M. D. Khomami, A. Rezvanian, A. M. Saghiri, and M. R. Meybodi, “Distributed learning automatabased algorithm for finding k-clique in complex social networks”, in 2020 11th international conference on information and knowledge technology (ikt) (IEEE, 2020), pp. 139–143. [31] M. Ghorbani, M. R. Meybodi, and A. M. Saghiri, “An adaptive topology management algorithm in p2p networks based on learning automata”, in 2019 7th iranian joint congress on fuzzy and intelligent systems (cfis) (IEEE, 2019), pp. 1–4. [32] M. Ghorbani, M. R. Meybodi, and A. M. Saghiri, “An architecture for managing internet of things based on cognitive peer-to-peer networks”, in 2019 5th international conference on web research (icwr) (IEEE, 2019), pp. 111–116. [33] A. M. Saghiri, M. Vahdati, K. Gholizadeh, M. R. Meybodi, M. Dehghan, and H. Rashidi, “A framework for cognitive internet of things based on blockchain”, in 2018 4th international conference on web research (icwr) (IEEE, 2018), pp. 138–143. [34] M. Vahdati, K. G. HamlAbadi, A. M. Saghiri, and H. Rashidi, “A self-organized framework for insurance based on internet of things and blockchain”, in 2018 ieee 6th international conference on future internet of things and cloud (ficloud) (IEEE, 2018), pp. 169–175. [35] M. M. D. Khomami, M. A. Haeri, M. R. Meybodi, and A. M. Saghiri, “An algorithm for weighted positive influence dominating set based on learning automata”, in 2017 ieee 4th international conference on knowledge-based engineering and innovation (kbei) (IEEE, 2017), pp. 0734–0740. [36] K. G. HamlAbadi, A. M. Saghiri, M. Vahdati, M. D. TakhtFooladi, and M. R. Meybodi, “A framework for cognitive recommender systems in the internet of things (iot)”, in 2017 ieee 4th international conference on knowledge-based engineering and innovation (kbei) (IEEE, 2017), pp. 0971–0976. [37] A. Ahmadi, M. R. Meybodi, and A. M. Saghiri, “Adaptive search in unstructured peer-to-peer networks based on ant colony and learning automata”, in 2016 artificial intelligence and robotics (iranopen) (IEEE, 2016), pp. 133–139. [38] S. F. Deiman, A. M. Saghiri, and M. R. Meybodi, “An adaptive algorithm for managing gradient topology in peer-to-peer networks”, in 2016 eighth international conference on information and knowledge technology (ikt) (IEEE, 2016), pp. 91–97. [39] M. H. G. Dolabi, M. R. Meybodi, and A. M. Saghiri, “A bandwidth-aware algorithm for solving topology mismatch problem in peer-to-peer networks utilizing the combination of learning automata and x-bot algorithm”, in 2015 23rd iranian conference on electrical engineering (IEEE, 2015), pp. 607– 612. [40] M. Ghorbani, M. R. Meybodi, and A. M. Saghiri, “A new version of k-random walks algorithm in peer-to-peer networks utilizing learning automata”, in The 5th conference on information and knowledge technology (IEEE, 2013), pp. 1–6. [41] M. Ghorbani, M. R. Meybodi, and A. M. Saghiri, “A novel self-adaptive search algorithm for unstructured peer-to-peer networks utilizing learning automata”, in 2013 3rd joint conference of ai & robotics and 5th robocup iran open international symposium (IEEE, 2013), pp. 1–6. [42] A. Saghiri and A. Bagheri, “Enhance your search engine functionality with peer-to-peer systems”, in 2010 the 2nd international conference on computer and automation engineering (iccae), Vol. 1 (IEEE, 2010), pp. 583–586. [43] A. Saghiri and A. Bagheri, “An adaptive architecture for personalized search engine in ubiquitous environment with peer-to-peer systems”, in 2009 international conference on information and multimedia technology (IEEE, 2009), pp. 107–111.
	More information · Education · Research and Work Experiences · Books o Exploring the Dark Side of Artificial Intelligence: Shedding Light on Future Perils and Alarming Dangers o AI Millionaire: A Guide to Forecasting Future Jobs and Hunting Opportunities [Medium] o Why GPT-Based Chatbots Will Be Vital: Applications, Challenges, and the Shaping of the Fragile Job Market [Medium, SlideShare] o How to Become an Expert In Job Hunting: Harnessing the Power of Generative Chatbots [Medium] · Publications · Talk and Workshop · Teaching · Reviewer and Organizer for Scientific Journals and Conferences
	Interest · Artificial Intelligence · Computer Networks · Distributed Systems · Software Engineering · Internet of Things · Blockchain
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	Contact Information · Email: amsaghiriit@gmail.com