Dr. Hamed NozariDr. Hamed Nozari

Publications

Books

Energy-Efficient Transformative Technologies for Data-Driven Smart Cities

Energy-Efficient Transformative Technologies for Data-Driven Smart Cities

Publisher
Artificial Intelligence of Everything and Sustainable Development

Artificial Intelligence of Everything and Sustainable Development

Publisher
Transforming Physical Assets to Cognitive Enterprises With Digital Twins

Transforming Physical Assets to Cognitive Enterprises With Digital Twins

Publisher
Digital Twin Applications and Cognitive Enterprise Transformation Across Industries

Digital Twin Applications and Cognitive Enterprise Transformation Across Industries

Publisher
Digital Twin-Driven Lifelong Learning Systems

Digital Twin-Driven Lifelong Learning Systems

Publisher
AI-Augmented Creativity in Learning Analytics

AI-Augmented Creativity in Learning Analytics

Publisher
Improving Consumer Engagement in Digital Marketing Through Cognitive AI

Improving Consumer Engagement in Digital Marketing Through Cognitive AI

Publisher
Dynamic and Safe Economy in the Age of Smart Technologies

Dynamic and Safe Economy in the Age of Smart Technologies

Publisher
Smart and Sustainable Interactive Marketing

Smart and Sustainable Interactive Marketing

Publisher
Industry 5.0's Impact on Economic Innovation

Industry 5.0's Impact on Economic Innovation

Publisher
Global Supply Chains in the Pharmaceutical Industry

Global Supply Chains in the Pharmaceutical Industry

Publisher
Building Smart and Sustainable Businesses With Transformative Technologies

Building Smart and Sustainable Businesses With Transformative Technologies

Publisher
Information Logistics for Organizational Empowerment and Effective Supply Chain Management

Information Logistics for Organizational Empowerment and Effective Supply Chain Management

Publisher
Data Envelopment Analysis and Effective Performance Assessment

Data Envelopment Analysis and Effective Performance Assessment

Publisher

Scopus & WoS Papers

  • Nozari, H., & Yordanova, Z. (2026). Human–AI Collaborative Neuromorphic Digital Twins with Adaptive Game-Theoretic Intelligence for Fuzzy Multi-Objective Optimization of Multi-Stakeholder Supply Chains. Eng, 7(9), 445. https://doi.org/10.3390/eng7090445 Q2
  • Yordanova, Z., & Nozari, H. (2026). Augmented decision-making in venture capital: Integrating digital twins and AI-based market intelligence. ECONOMICS – Innovative and Economics Research Journal, 14(3), 23–51. https://doi.org/10.2478/eoik-2026-0047Q1
  • Nozari, H., Yordanova, Z., & Milusheva, V. (2026). Optimizing critical care capacity using fuzzy multi-objective digital twins and deep learning. Smart Health, 100706. https://doi.org/10.1016/j.smhl.2026.100706Q1
  • Nozari, H., & Yordanova, Z. (2026). A Self-Healing Blockchain-Based Digital Twin Framework for Cybersecurity-Aware Fuzzy Multi-Objective Supply Chain Finance Optimization Under Uncertainty. Journal of Cybersecurity and Privacy, 6(4), 139. https://doi.org/10.3390/jcp6040139 Q1
  • Nozari, H., Yordanova, Z. Reframing optimization in Agri biotech using neuromorphic digital twins for fuzzy multi objective control of evolving bioprocesses. Soft Comput (2026). https://doi.org/10.1007/s00500-026-11405-9 Q1
  • Nozari, H. (2026). Digital twin-based predictive maintenance in cold chain logistics. RAIRO - Operations Research, 60(1), 481–499. https://doi.org/10.1051/ro/2025167 Q2
  • Nozari, H., & Yordanova, Z. (2026). A digital twin framework for fuzzy multi-objective routing of electric delivery fleets in urban hypermarket logistics. Journal of Intelligent Decision Making and Information Science, 3, 755–780. https://doi.org/10.59543/jidmis.v3.829 Q1
  • Nozari, H., Yordanova, Z. Digital twin–driven energy optimization in food manufacturing systems. Int J Interact Des Manuf (2026). https://doi.org/10.1007/s12008-026-02644-z Q2
  • Nozari, H., Yordanova, Z. Improving Response Time and System Resilience in Humanitarian Supply Chains Using Digital Twin and Fuzzy Multi-Objective Optimization. Process Integr Optim Sustain (2026). https://doi.org/10.1007/s41660-026-00809-7 Q2
  • Nozari, H., & Yordanova, Z. (2026). Touchless Quality Control in Pharma Using a Digital Twin–Driven Fuzzy Multi-Objective Optimization Framework for Risk-Aware Release Decisions. International Journal of Mathematical, Engineering and Management Sciences, 11(3), 1178-1201. https://doi.org/10.33889/IJMEMS.2026.11.3.049 Q1
  • Nozari, H., Movahed, A.B. & Szmelter-Jarosz, A. Review of the Effects of Digital Transformation on the Construction Industry. J Knowl Econ (2026). https://doi.org/10.1007/s13132-026-03365-0 Q1
  • Nozari, H., & Yordanova, Z. (2026). Hierarchical Digital Twin Orchestration Across Edge and Cloud for Scalable Composting System Intelligence. Algorithms, 19(6), 450. https://doi.org/10.3390/a19060450 Q1
  • Nozari, H., Yordanova, Z. A cloud-enabled digital twin architecture for fuzzy multi-objective optimization in cognitive supply chains. Comput Manag Sci 23, 21 (2026). https://doi.org/10.1007/s10287-026-00570-9 Q2
  • Yordanova, Z., Nozari, H. Distributed Microgrid Scheduling Using Agentic AI and Fuzzy Multi-Objective Dispatch Balancing Cost Carbon Emissions and Supply Adequacy. Process Integr Optim Sustain (2026). https://doi.org/10.1007/s41660-026-00787-w Q2
  • Nozari, H., & Yordanova, Z. (2026). Operational Planning of Energy-Efficient Robotic Farming Systems Under Fuzzy Conditions Using Digital Twins. Automation, 7(3), 81. https://doi.org/10.3390/automation7030081 Q2
  • Nozari, H., & Yordanova, Z. (2026). Multi-objective edge-cloud digital twin architecture for sustainable logistics. Expert Systems with Applications, 327, 132899. https://doi.org/10.1016/j.eswa.2026.132899 Q1
  • Yordanova, Z., & Nozari, H. (2026). FinTech-Enabled Startup Portfolio Optimization Under Uncertainty: A Multi-Objective CVaR–ESG Framework. FinTech, 5(2), 44. https://doi.org/10.3390/fintech5020044 Q1
  • Nozari, H., & Yordanova, Z. (2026). Blockchain-Secured Digital Twin Framework for Fuzzy Multi-Objective Optimization in Supply Chain Finance. FinTech, 5(2), 42. https://doi.org/10.3390/fintech5020042 Q1
  • Yordanova, Zornitsa, Nozari, Hamed, A Digital Twin–Based Analytical Framework for Early Warning and Preventive Decision-Making in Crop Failure and Food Security, Journal of Electrical and Computer Engineering, 2026, 1461911, 17 pages, 2026. https://doi.org/10.1155/jece/1461911Q2
  • Nozari, H., & Yordanova, Z. (2026). Sustainable Parking Allocation for Smart Cities Using Digital Twin and Agentic Optimization. Future Transportation, 6(3), 95. https://doi.org/10.3390/futuretransp6030095 Q2
  • Hamed Nozari, Zornitsa Yordanova. Agentic artificial intelligence-driven digital twin for real-time irrigation control with fuzzy sustainability objectives. An International Journal of Optimization and Control: Theories & Applications 026040013. https://doi.org/10.36922/IJOCTA026040013Q2
  • Nozari, H., Yordanova, Z. Fuzzy multi-objective digital twin framework for dynamic pricing and assortment optimization in metaverse-based retail environments. J Revenue Pricing Manag (2026). https://doi.org/10.1057/s41272-026-00586-5 Q2
  • Yordanova, Z., & Nozari, H. (2026). Enhancing Innovation and Resilience in Entrepreneurial Ecosystems Using Digital Twins and Fuzzy Optimization. Digital, 6(1), 25. https://doi.org/10.3390/digital6010025Q2
  • Nozari, H., & Yordanova, Z. (2026). A Self-Deciding Adaptive Digital Twin Framework Using Agentic AI for Fuzzy Multi-Objective Optimization of Food Logistics. Algorithms, 19(3), 218. https://doi.org/10.3390/a19030218 Q2
  • Yordanova, Z., & Nozari, H. (2026). An Agentic Digital Twin Framework for Fuzzy Multi-Objective Optimization in Dynamic Humanitarian Logistics. Algorithms, 19(3), 198. https://doi.org/10.3390/a19030198 Q2
  • Nozari, H., & Yordanova, Z. (2026). Digital twin-driven decision support for human capital management under uncertainty. Green Technologies and Sustainability, 4(2), 100353. https://doi.org/10.1016/j.grets.2026.100353 Q1
  • Nozari, H., & Yordanova, Z. (2026). An Adaptive Fuzzy Multi-Objective Digital Twin Framework for Multi-Depot Cold-Chain Vehicle Routing in Agri-Biotech Supply Networks. Logistics, 10(2), 27. https://doi.org/10.3390/logistics10020027Q1
  • Nozari, H., Szmelter-Jarosz, A. Quantitative decision making in reverse logistics with a hybrid decision support system integrating agentic AI and evolutionary optimization. Euro-Mediterr J Environ Integr 11, 30 (2026). https://doi.org/10.1007/s41207-025-00989-7Q2
  • Nozari, H., & Yordanova, Z. (2025). An intelligent digital twin approach for optimizing multi-channel supply chains in uncertain environments. Green Technologies and Sustainability, 100, 100309. https://doi.org/10.1016/j.grets.2025.100309 Q1
  • Nozari, H., & Szmelter-Jarosz, A. (2025). A Predictive Maintenance Approach for Composting Plants Based on ERP and Digital Twin Integration. Machines, 13(12), 1123. https://doi.org/10.3390/machines13121123 Q2
  • Nozari, H. (2025). Optimizing transmedia storytelling strategies across platforms for maximum audience engagement. Entertainment Computing, 101061. https://doi.org/10.1016/j.entcom.2025.101061Q2
  • Hamed Nozari, Zornitsa Yordanova.(2025). A fuzzy–digital twin optimization framework for simultaneous management of waste and energy consumption in sustainable manufacturing. An International Journal of Optimization and Control: Theories & Applications 025360152. https://doi.org/10.36922/IJOCTA025360152Q2
  • Nozari, H., Abdi, H., Szmelter-Jarosz, A. et al. A digital twin-based neutrosophic multi-objective optimization model for smart supply chains in the food industry. J Intell Manuf (2025). https://doi.org/10.1007/s10845-025-02689-zQ1
  • Nozari, H., Nassar, S. Real-time data-driven multi-objective optimization in B2B marketing using digital twins. OPSEARCH (2025). https://doi.org/10.1007/s12597-025-01044-3 Q2
  • Nozari, H. Integrating Neuromorphic Intelligence with Fuzzy Multi-Objective Models in Resilient Green Supply Chain Design. Process Integr Optim Sustain (2025). https://doi.org/10.1007/s41660-025-00598-5 Q2
  • Nozari, H., Szmelter-Jarosz, A., & Weiland, D. (2025). A Fuzzy Multi-Objective Sustainable and Agile Supply Chain Model Based on Digital Twin and Internet of Things with Adaptive Learning Under Environmental Uncertainty. Applied Sciences, 15(19), 10399. https://doi.org/10.3390/app151910399Q1
  • Nozari, H., Nassar, S., & Szmelter-Jarosz, A. (2025). Fuzzy Multi-Objective Optimization Model for Resilient Supply Chain Financing Based on Blockchain and IoT. Digital, 5(3), 32. https://doi.org/10.3390/digital5030032Q2
  • Nozari, H., Rahmaty, M., Foukolaei, P. Z., Movahed, H., Bayanati, M. (2025). Optimizing Cold Chain Logistics with Artificial Intelligence of Things (AIoT): A Model for Reducing Operational and Transportation Costs. Future Transportation, 5(1), 1. https://doi.org/10.3390/futuretransp5010001 Q2
  • Nozari, H., & Yordanova, Z. (2025). Hybrid digital twin and quantum AI with fuzzy multiobjective modeling in supply chain management. Edelweiss Applied Science and Technology, 9(10), 609–628. https://doi.org/10.55214/2576-8484.v9i10.10482Q3
  • Wołek, M., Hebel, K., Birr, K., Nozari, H. The importance of punctuality in particular segments of public transport users: a case study from Gdynia (Poland). Scientific Journal of Silesian University of Technology. Series Transport. 2025, 127, 277-289. ISSN: 0209-3324. DOI: https://doi.org/10.20858/sjsutst.2025.127.17. Q3
  • Nozari, H., Szmelter-Jarosz, A., & Irani, H. R. (2025). Designing an ambulance routing optimization model using the combination of machine learning and genetic algorithm in conditions of uncertainty. Systems and Soft Computing.Q2
  • Esmaeili Mahyari, M., Irani, H., nourmandi pour, V., & Nozari, H. (2025). Understanding the Nexus of Marketing and Artificial Intelligence (AI): Customer Experience is of the Essence. International Journal of Supply and Operations Management, 12(2), 236-253. doi: 10.22034/ijsom.2025.110285.3017Q3
  • Nozari, H., Abdi, H., Szmelter-Jarosz, A., Motevalli, S. H. (2024). Design of Dual-Channel Supply Chain Network Based on the Internet of Things Under Uncertainty. Mathematical and Computational Applications, 29(6), 118. https://doi.org/10.3390/mca29060118Q2
  • Ghahremani-Nahr, J., Nozari, H. Szmelter-Jarosz, A. Designing a humanitarian relief logistics network considering the cost of deprivation using a robust-fuzzy-probabilistic planning method. Int J Humanitarian Action 9, 19 (2024). https://doi.org/10.1186/s41018-024-00163-8Q2
  • Ghahremani-Nahr, J., Nozari, H., Szmelter-Jarosz, A. (2024). Location-inventory-pricing model in closed-loop supply chain network under the robust-fuzzy optimisation method. Supply Chain Forum: An International Journal, 1–16. https://doi.org/10.1080/16258312.2024.2440300Q2
  • Nozari, H. (2024). Green Supply Chain Management based on Artificial Intelligence of Everything. Journal of Economics and Management, 46(1), 171-188.Q3
  • Aliahmadi, A., Ghahremani-Nahr, J., Nozari, H. (2023). Pricing decisions in the closed-loop supply chain network, taking into account the queuing system in production centers. Expert Systems with Applications, 212, 118741. Q1
  • Ghahremani-Nahr, Javid, Hamed Nozari, Maryam Rahmaty, Parvaneh Zeraati Foukolaei, and Azita Sherejsharifi. (2023). "Development of a Novel Fuzzy Hierarchical Location-Routing Optimization Model Considering Reliability" Logistics 7, no. 3: 64. https://doi.org/10.3390/logistics7030064Q1
  • Nozari, H., Rahmaty, M. (2023). Modeling the make-to-order problem considering the order queuing system under uncertainty. International Journal of Industrial Engineering Production Research, 34(4). Q3
  • Nozari, H., Ghahremani-Nahr, J. (2023). A Comprehensive Strategic-Tactical Multi-Objective Sustainable Supply Chain Model with Human Resources Considerations. Supply Chain Analytics, 4, 100044.Q1
  • Bakhshi Movahed, A., Aliahmadi, A., Parsanejad, M., Nozari, H. (2023). A Systematic Review of Collaboration in Supply Chain 4.0 with Meta-Synthesis Method. Supply Chain Analytics, In press. doi:https://doi.org/10.1016/j.sca.2023.100052.Q1
  • Ghahremani-Nahr, J., Nozari, H., Aliahmadi, A. (2023). Contract Design for Return Products in a Cooperative Closed-Loop Supply Chain. Global Business Review, 0(0). https://doi.org/10.1177/09721509221148892.Q2
  • Rahmaty, M. ., Nozari, H. . (2023). Optimization of the hierarchical supply chain in the pharmaceutical industry. Edelweiss Applied Science and Technology, 7(2), 104–123. https://doi.org/10.55214/25768484.v7i2.376 Q3
  • Szmelter-Jarosz, A., Chmiel, B., Nozari, H. (2023). the mobility choices in poland: is there a chance to transition from owned cars to a shared ones? ejts european journal of transformation studies, 11(1), 206-228.Q4
  • Ghahremani-Nahr, J., Samadi Parviznejad, P., Nozari, H. (2023). Applying the Zachman Framework for the Enterprise Architecture of Research Organizations (Case Study: Academic Center for Education, Culture and Research of Iran). Journal of Industrial Integration and Management. Q1
  • Nozari, H., Aliahmadi, A. (2022). Analysis of critical success factors in a food agile supply chain by a fuzzy hybrid decision-making method. Iranian Journal of Management Studies.Q3
  • Bathaee, M., Nozari, H., Szmelter-Jarosz, A. (2023). Designing a New Location-Allocation and Routing Model with Simultaneous Pick-Up and Delivery in a Closed-Loop Supply Chain Network under Uncertainty. Logistics, 7(1), 3.Q1
  • Nozari, H., Szmelter-Jarosz, A., Ghahremani-Nahr, J. (2022). Analysis of the Challenges of Artificial Intelligence of Things (AIoT) for the Smart Supply Chain (Case Study: FMCG Industries). Sensors, 22(8), 2931. Q1
  • Nozari, H., Ghahremani-Nahr, J., Szmelter-Jarosz, A. (2022). A multi-stage stochastic inventory management model for transport companies including several different transport modes. International Journal of Management Science and Engineering Management, 1-11. Q1
  • Aliahmadi, A., Nozari, H., Ghahremani-Nahr, J., & Szmelter-Jarosz, A. (2022). Evaluation of key impression of resilient supply chain based on artificial intelligence of things (AIoT). arXiv preprint arXiv:2207.13174.Q2
  • Aliahmadi, A., Nozari, H. (2022, July). Evaluation of security metrics in AIoT and blockchain-based supply chain by Neutrosophic decision-making method. In Supply Chain Forum: An International Journal (pp. 1-12). Taylor Francis.Q2
  • Ghahremani-Nahr, J., Najafi, S. E., Nozari, H. (2022). A combined transportation model for the fruit and vegetable supply chain network. Journal of Optimization in Industrial Engineering.Q3
  • Nozari, H., Tavakkoli-Moghaddam, R., Gharemani-Nahr, J. (2022). A neutrosophic fuzzy programming method to solve a multi-depot vehicle routing model under uncertainty during the covid-19 pandemic. International Journal of Engineering, 35(2), 360-371. Q3
  • Nozari, H., Tavakkoli-Moghaddam, R., Gharemani-Nahr, J. (2022). A neutrosophic fuzzy programming method to solve a multi-depot vehicle routing model under uncertainty during the covid-19 pandemic. International Journal of Engineering, 35(2), 360-371. Q2
  • Nozari, H., Szmelter-Jarosz, A., Ghahremani-Nahr, J. (2021). The Ideas of Sustainable and Green Marketing Based on the Internet of Everything—The Case of the Dairy Industry. Future Internet, 13(10), 266. Q2
  • Jarosz, A., Ghahremani-Nahr, J., Nozari, H. (2021). A neutrosophic fuzzy optimisation model for optimal sustainable closed-loop supply chain network during COVID-19. Journal of Risk and Financial Management, 14(11), 519.Q2
  • Nozari, H., Fallah, M., Szmelter-Jarosz, A., Krzemiński, M. (2021). Analysis of security criteria for IoT-based supply chain: a case study of FMCG industries. Central European Management Journal, 29(4), 149-171.Q3
  • Nozari, H., Fallah, M., Kazemipoor, H., Najafi, S. E. (2021). Big data analysis of IoT-based supply chain management considering FMCG industries. Бизнес-информатийа, 15(1 (eng), 78-96.Q3
  • Nozari, H., Fallah, M., & Szmelter-Jarosz, A. (2021). A conceptual framework of green smart IoT-based supply chain management. International journal of research in industrial engineering, 10(1), 22-34.Q3
  • Nozari, H., Najafi, E., Fallah, M., & Hosseinzadeh Lotfi, F. (2019). Quantitative analysis of key performance indicators of green supply chain in FMCG industries using non-linear fuzzy method. Mathematics, 7(11), 1020.Q1

Conference Papers (Scopus)

  • Nozari, H., Tavakkoli-Moghaddam, R., Dolgui, A. (2024). Analysis of Critical Success Factors of Sustainable and Resilient Aioe-based Supply Chain in Industry 5.0. In: Thürer, M., Riedel, R., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments. APMS 2024. IFIP Advances in Information and Communication Technology, vol 729. Springer, Cham. https://doi.org/10.1007/978-3-031-65894-5_6
  • Nozari, H., Tavakkoli Moghaddam, R., Rohaninejad, M., Hanzalek, Z. (2023). Artificial Intelligence of Things (AIoT) Strategies for a Smart Sustainable-Resilient Supply Chain. IFIP International Conference on Advances in Production Management Systems. Springer. doi:http://dx.doi.org/10.1007/978-3-031-43670-3_56
  • Nozari, H., Irani, H., Rahmaty, M. (2023). Investigating critical success factors in marketing systems based on the Internet of Things. ODSIE 2023. Istanbul, Turkey.

Book Chapters (Scopus)

  • Nozari, H. & Yordanova, Z. (2027). Dynamic Digital Twin Modeling for Intelligent Learning Systems. In Z. Yordanova & H. Nozari (Eds.), Digital Twin-Driven Lifelong Learning Systems (pp. 99-116). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-2600-1674-9.ch005
  • Nozari, H. & Yordanova, Z. (2027). Understanding the Dynamics of Lifelong Learning Under Uncertainty Using a Digital Twin Approach Combined With Fuzzy Multi-Objective Optimization. In Z. Yordanova & H. Nozari (Eds.), Digital Twin-Driven Lifelong Learning Systems (pp. 275-304). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-2600-1674-9.ch012
  • Nozari, H., Tanya, K., Suthar, S. P., & Bakshi, J. (2027). Conceptual Foundations of Self-Adaptive Learning Systems With Digital Twin Integration. In Z. Yordanova & H. Nozari (Eds.), Digital Twin-Driven Lifelong Learning Systems (pp. 27-46). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-2600-1674-9.ch002
  • Yordanova, Z., Nozari, H., Hristozov, Y., & Kolyandov, S. (2026). Goal-Driven Agentic Intelligence for the Evolution of Energy Efficient Smart Cities. In Z. Yordanova & H. Nozari (Eds.), Digital Twin Applications and Cognitive Enterprise Transformation Across Industries (pp. 61-82). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-2600-1669-5.ch003
  • Nozari, H. & Bakshi, J. (2026). Human and Digital Twin Symbiosis in the Evolution of Cognitive Enterprises. In Z. Yordanova & H. Nozari (Eds.), Digital Twin Applications and Cognitive Enterprise Transformation Across Industries (pp. 1-24). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-2600-1669-5.ch001
  • Nozari, H. & Ramadurgam, A. K. (2026). Conceptualizing Digital Twins for Sustainable and Net-Zero Energy Cities: A Holistic Framework for Carbon-Aware Urban Energy Systems. In Z. Yordanova & H. Nozari (Eds.), Digital Twin Applications and Cognitive Enterprise Transformation Across Industries (pp. 287-308). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-2600-1669-5.ch011
  • López, A., Yordanova, Z., & Nozari, H. (2026). Digital Twin-Based Multi-Objective Production Optimization in Smart Factories. In Z. Yordanova & H. Nozari (Eds.), Transforming Physical Assets to Cognitive Enterprises With Digital Twins (pp. 259-288). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-9998-0.ch009
  • Nozari, H. & Yordanova, Z. (2026). An-Integrated Digital Twin Framework for Intelligent Asset Management. In Z. Yordanova & H. Nozari (Eds.), Transforming Physical Assets to Cognitive Enterprises With Digital Twins (pp. 203-222). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-9998-0.ch007
  • Nozari, H., Tanya, K., & Suthar, S. P. (2026). Multi-Agent Digital Twin Architectures for Real-Time Enterprise Adaptation. In Z. Yordanova & H. Nozari (Eds.), Transforming Physical Assets to Cognitive Enterprises With Digital Twins (pp. 113-132). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-9998-0.ch004
  • Nozari, H., Szmelter-Jarosz, A., Samadi, S. (2025). Machine Learning Models for Energy Optimization and Resource Consumption in Smart Factories. In: Nozari, H. (eds) Artificial Intelligence of Everything and Sustainable Development. Springer, Singapore. https://doi.org/10.1007/978-981-96-7202-8_10
  • Tavakkoli-Moghaddam, R., Dolgui, A., & Nozari, H. (2026). Energy efficiency in wireless sensor networks. In Energy-Efficient Transformative Technologies for Data-Driven Smart Cities (pp. 21-36). Elsevier.
  • Nozari, H. (2026). Transformative AI for energy-efficient lean cities. In Energy-Efficient Transformative Technologies for Data-Driven Smart Cities (pp. 229-252). Elsevier.
  • Nozari, H. (2026). Neuromorphic-driven energy optimization in smart urban logistics. In Energy-Efficient Transformative Technologies for Data-Driven Smart Cities (pp. 211-228). Elsevier.
  • Nozari, H., & Tavakkoli-Moghaddam, R. (2026). Edge computing for an energy-efficient super-smart city. In Energy-Efficient Transformative Technologies for Data-Driven Smart Cities (pp. 197-210). Elsevier.
  • Nozari, H. (2026). Machine learning for energy prediction in supersmart cities. In Energy-Efficient Transformative Technologies for Data-Driven Smart Cities (pp. 179-196). Elsevier.
  • Movahed, A. B., Movahed, A. B., & Nozari, H. (2026). Introduction to data-driven super-smart cities of the future. In Energy-Efficient Transformative Technologies for Data-Driven Smart Cities (pp. 1-20). Elsevier.
  • Abdi, H., & Nozari, H. (2026). Security considerations in an energy-efficient super-smart city. In Energy-Efficient Transformative Technologies for Data-Driven Smart Cities (pp. 37-54). Elsevier.
  • Nozari, H., & Tavakkoli-Moghaddam, R. (2026). Optimization techniques for energy efficiency in the super-smart city. In Energy-Efficient Transformative Technologies for Data-Driven Smart Cities (pp. 91-106). Elsevier.
  • Abdi, H., & Nozari, H. (2026). Energy challenges in transformative technologies-based super-smart city implementation. In Energy-Efficient Transformative Technologies for Data-Driven Smart Cities (pp. 71-90). Elsevier.
  • Yordanova, Z., & Nozari, H. (2026). Cross-layer optimization for energy efficiency in super-smart cities of the future. In Energy-Efficient Transformative Technologies for Data-Driven Smart Cities (pp. 125-144). Elsevier.
  • Nozari, H. & Yordanova, Z. (2026). Green and Circular Supply Chain Finance Supported by Carbon-Twin Accounting. In H. Nozari (Eds.), Industry 5.0's Impact on Economic Innovation (pp. 99-116). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-4525-2.ch006
  • Nozari, H. (2026). Urban Digital Twins and Data-Centric Architectures for the Emergent Economy 5.0. In H. Nozari (Eds.), Industry 5.0's Impact on Economic Innovation (pp. 51-70). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-4525-2.ch004
  • Nozari, H. (2026). Neuromorphic Computing and Cognitive Economics. In H. Nozari (Eds.), Industry 5.0's Impact on Economic Innovation (pp. 17-34). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-4525-2.ch002
  • Yordanova, Z. & Nozari, H. (2026). Seamless Data Integration for Predictive Learning Environments. In S. Kalogeras, S. Samadi, & H. Nozari (Eds.), AI-Augmented Creativity in Learning Analytics (pp. 293-318). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-5117-9.ch014
  • Nozari, H. (2026). AI-Augmented Creative Assessment: From Static Tests to Dynamic Insight Generation. In S. Kalogeras, S. Samadi, & H. Nozari (Eds.), AI-Augmented Creativity in Learning Analytics (pp. 25-42). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-5117-9.ch002
  • Nozari, H. (2026). Self-Evolving Neuromorphic Systems for Predictive Learning Interventions. In S. Kalogeras, S. Samadi, & H. Nozari (Eds.), AI-Augmented Creativity in Learning Analytics (pp. 105-122). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-5117-9.ch006
  • Nassar, S., Nozari, H., Samadi, S. (2025). AIoE-Based Multi-objective Optimization for Smart and Sustainable Warehouse Management. In: Nozari, H. (eds) Artificial Intelligence of Everything and Sustainable Development. Springer, Singapore. https://doi.org/10.1007/978-981-96-7202-8_14
  • Nozari, H., Samadi, S. (2025). AIoE-Powered Neuromarketing for Decoding the Consumer Brain. In: Nozari, H. (eds) Artificial Intelligence of Everything and Sustainable Development. Springer, Singapore. https://doi.org/10.1007/978-981-96-7202-8_3
  • Abdi, H., Nozari, H. (2025). AIoE-Enhanced Multi-objective Optimization for Sustainable Bioprocesses in Smart Bioreactors. In: Nozari, H. (eds) Artificial Intelligence of Everything and Sustainable Development. Springer, Singapore. https://doi.org/10.1007/978-981-96-7202-8_2
  • Nozari, H. (2026). Analyzing and Optimizing Customer Interactions in Smart Cities Using IoT Data Synchronization and Temporal Neural Networks (RNN). In H. Nozari, S. Samadi, & S. Kalogeras (Eds.), Improving Consumer Engagement in Digital Marketing Through Cognitive AI (pp. 211-224). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-3775-3.ch009
  • Nozari, H. (2026). Combining Digital Twin and Metaverse for Immersive Marketing Experiences. In H. Nozari, S. Samadi, & S. Kalogeras (Eds.), Improving Consumer Engagement in Digital Marketing Through Cognitive AI (pp. 289-310). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-3775-3.ch012
  • Nozari, H. (2026). Neuromorphic Models for Dynamic Customer Segmentation in Digital Marketing. In H. Nozari, S. Samadi, & S. Kalogeras (Eds.), Improving Consumer Engagement in Digital Marketing Through Cognitive AI (pp. 311-326). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-3775-3.ch013
  • Yordanova, Z. & Nozari, H. (2025). Harnessing Cyber-Physical Systems and Digital Twins for Industrial Innovation and Economic Resilience. In H. Nozari (Ed.), Dynamic and Safe Economy in the Age of Smart Technologies (pp. 33-48). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-4369-2.ch003
  • Abdi, H., Jahanian, A., & Nozari, H. (2025). Digital Twin-Enabled Bioreactors: Transforming Industrial Biotechnology in Smart Economies. In H. Nozari (Ed.), Dynamic and Safe Economy in the Age of Smart Technologies (pp. 105-120). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-4369-2.ch007
  • Nozari, H. & Samadi, S. (2025). Digital Twin-Enhanced Sentiment Analysis for Targeted Marketing Optimization. In H. Nozari (Ed.), Dynamic and Safe Economy in the Age of Smart Technologies (pp. 121-138). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-4369-2.ch008
  • Szmelter-Jarosz, A. & Nozari, H. (2025). AI-Driven Decision Intelligence and Human-AI Collaboration in Economic Systems. In H. Nozari (Ed.), Dynamic and Safe Economy in the Age of Smart Technologies (pp. 171-190). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-4369-2.ch011
  • Nozari, H., Abdi, H., & Rafiei, K. (2025). Edge Computing and Marketing in the Smart Economy: Processing Consumer Data in Real-Time. In H. Nozari (Ed.), Dynamic and Safe Economy in the Age of Smart Technologies (pp. 191-208). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-4369-2.ch012
  • Nozari, H., Ghahremani-Nahr, J., Rahmaty, M., Bayanati, M. (2024). A Framework for Smart and Resilient Supply Chains Based on Blockchain and the Internet of Things. In Blockchain based Internet of Things (pp. 73-86). Taylor Francis. doi:http://dx.doi.org/10.1201/9781003407096-5
  • Najafi, E., Nozari, H. (2024). Examining Dimensions and Critical Success Factors of Supply Chains Based on the Blockchain and Internet of Things (B-IoT). In Analytical Decision Making and Data Envelopment Analysis: Advances and Challenges (pp. 281-294). Singapore: Springer Nature Singapore.
  • Nozari, H., Rahmaty, M., Szmelter-Jarosz, A. (2024). A Framework for AIoT-Based Smart Sustainable Marketing System. In Artificial Intelligence of Things for Achieving Sustainable Development Goals (pp. 255-271). Cham: Springer Nature Switzerland.
  • Nozari, H. (2024). Investigating Key Dimensions and Key Indicators of AIoT-Based Supply Chain in Sustainable Business Development. In Artificial Intelligence of Things for Achieving Sustainable Development Goals (pp. 293-310). Cham: Springer Nature Switzerland.
  • Nozari, H., Ghahremani-Nahr, J., Szmelter-Jarosz, A. (2023). AI and machine learning for real-world problems. Advances In Computers, (online first).
  • Tavakkoli-Moghaddam, R., Nozari, H., Bakhshi-Movahed, A., Bakhshi-Movahed, A. (2024). A Conceptual Framework for the Smart Factory 6.0. In M. Oskounejad H. Nozari (Eds.), Advanced Businesses in Industry 6.0 (pp. 1-14). IGI Global. https://doi.org/10.4018/979-8-3693 3108-8.ch001
  • Movahed, A. B., Movahed, A. B., Nozari, H. (2024). Marketing 6.0 Conceptualization. In M. Oskounejad H. Nozari (Eds.), Advanced Businesses in Industry 6.0 (pp. 15-31). IGI Global. https://doi.org/10.4018/979-8-3693-3108-8.ch002
  • Movahed, A. B., Movahed, A. B., Aliahmadi, B., Nozari, H. (2024). Green and Sustainable Supply Chain in Agriculture 6.0. In M. Oskounejad H. Nozari (Eds.), Advanced Businesses in Industry 6.0 (pp. 32-45). IGI Global. https://doi.org/10.4018/979-8-3693-3108-8.ch003
  • Aliahmadi, M. H., Movahed, A. B., Movahed, A. B., Nozari, H., Bayanati, M. (2024). Hospital 6.0 Components and Dimensions. In M. Oskounejad H. Nozari (Eds.), Advanced Businesses in Industry 6.0 (pp. 46-61). IGI Global. https://doi.org/10.4018/979-8-3693-3108-8.ch004
  • Movahed, A. B., Movahed, A. B., Nozari, H., Rahmaty, M. (2024). Security Criteria in Financial Systems in Industry 6.0. In M. Oskounejad H. Nozari (Eds.), Advanced Businesses in Industry 6.0 (pp. 62-74). IGI Global. https://doi.org/10.4018/979-8-3693-3108-8.ch005
  • Nozari, H. Chobar, A. P. (2024). The Dimensions and Components of Marketing 5.0: Introduction to Marketing 6.0. In M. Oskounejad H. Nozari (Eds.), Advanced Businesses in Industry 6.0 (pp. 75-86). IGI Global. https://doi.org/10.4018/979-8-3693-3108-8.ch006
  • Nozari, H., Edalatpanah, S. A. (2023). Smart Systems Risk Management in IoT-Based Supply Chain. In Advances in Reliability, Failure and Risk Analysis (pp. 251-268). Singapore: Springer Nature Singapore.
  • Nozari, H. (2024). Supply Chain 6.0 and Moving Towards Hyper-Intelligent Processes. In H. Nozari (Ed.), Information Logistics for Organizational Empowerment and Effective Supply Chain Management (pp. 1-13). IGI Global. https://doi.org/10.4018/979-8-3693-0159-3.ch001
  • Movahed, A. B., Movahed, A. B., Nozari, H. (2024). Opportunities and Challenges of Smart Supply Chain in Industry 5.0. In H. Nozari (Ed.), Information Logistics for Organizational Empowerment and Effective Supply Chain Management (pp. 108-138). IGI Global. https://doi.org/10.4018/979-8-3693-0159-3.ch006
  • Nozari, H. Szmelter-Jarosz, A. (2024). An Analytical Framework for Smart Supply Chains 5.0. In H. Nozari (Ed.), Building Smart and Sustainable Businesses With Transformative Technologies (pp. 1-15). IGI Global. https://doi.org/10.4018/979-8-3693-0210-1.ch001
  • Aliahmadi, A., Movahed, A. B., Nozari, H. (2024). Collaboration Analysis in Supply Chain 4.0 for Smart Businesses. In H. Nozari (Ed.), Building Smart and Sustainable Businesses With Transformative Technologies (pp. 103-122). IGI Global. https://doi.org/10.4018/979-8-3693 0210-1.ch007
  • Nozari, H., Szmelter-Jarosz, A., Rahmaty, M. (2024). Smart Marketing Based on Artificial Intelligence of Things (AIoT) and Blockchain and Evaluating Critical Success Factors. In H. Irani
  • H. Nozari (Eds.), Smart and Sustainable Interactive Marketing (pp. 68-82). IGI Global. https://doi.org/10.4018/979-8-3693-1339-8.ch005
  • Movahed, A. B., Movahed, A. B., Nozari, H. (2024). Opportunities and Challenges of Marketing 5.0. In H. Irani H. Nozari (Eds.), Smart and Sustainable Interactive Marketing (pp. 1-21). IGI Global. https://doi.org/10.4018/979-8- 3693-1339-8.ch001
  • Najafi, S. E., Nozari, H., Edalatpanah, S. A. (2022). Artificial Intelligence of Things (AIoT) and Industry 4.0–Based Supply Chain (FMCG Industry). A Roadmap for Enabling Industry 4.0 by Artificial Intelligence, 31-41.
  • Najafi, S. E., Nozari, H., Edalatpanah, S. A. (2022). Investigating the Key Parameters Affecting Sustainable IoT-Based Marketing. In Computational Intelligence Methodologies Applied to Sustainable Development Goals (pp. 51- 61). Cham: Springer International Publishing.
  • Nozari, H., Tavakkoli-Moghaddam, R., Ghahremani-Nahr, J., Najafi, E. (2023). A conceptual framework for Artificial Intelligence of Medical Things (AIoMT).
  • Nozari, H., Ghahremani-Nahr, J., Najafi, E. (2023). The Role of Internet of Things and Blockchain in the Development of Agile and Sustainable Supply Chains. In E. Sabri, Digital Supply Chain, Disruptive Environments, and the Impact on Retailers (pp. 271-282). IGI Global.
  • Arani, A. S., Nozari, H., Jafari-Eskandari, M. (2017). Performance Evaluation of Suppliers with Undesirable Outputs Using DEA. In Data Envelopment Analysis and Effective Performance Assessment (pp. 312-327). IGI Global.
  • Nozari, H., Najafi, S. E., Jafari-Eskandari, M., Aliahmadi, A. (2016). Providing a model for virtual project management with an emphasis on IT projects. In Project Management: Concepts, Methodologies, Tools, and Applications (pp. 476-496). IGI Global.

Other Publications

  • Nozari, H., Rahmaty, M., Szmelter-Jarosz, A. (2026). Examining the cause-and-effect relationships of the practical factors in empowering smart education in the age of digital technologies. e-mentor, 1(113), 33-43. https://www.doi.org/10.15219/em113.1740 (Wos)
  • Nozari, H., & Szmelter-Jarosz, A. (2025). A Multi-Objective Framework for Human-Centered AIoE Solutions: Bridging the Digital Divide through Optimization. Applied Innovations in Industrial Management, 5(3), 52–69. https://doi.org/10.63630/aiim.53.52 (crossref)
  • Nozari, H., Abdi, H., & Szmelter-Jarosz, A. . (2025). Goat Optimization Algorithm: A Novel Bio-Inspired Metaheuristic for Global Optimization. Applied Innovations in Industrial Management, 5(1), 70–80. https://doi.org/10.63630/aiim.51.70 (crossref)
  • Nozari, H. (2025). Cognitive Targeting and Neuromarketing Applications in AI-Driven Digital Advertising. Applied Innovations in Industrial Management, 5(2), 52–58. https://doi.org/10.63630/aiim.52.52 (crossref)
  • Nozari, H., & Abdi, H. (2025). Celestial Orbit Optimization as a Metaheuristic Algorithm Inspired by Planetary Motion for Solving Complex Optimization Problems. Journal of Future Digital Optimization, 1(2), 45–60. https://doi.org/10.63630/JFDO.12.45 (crossref)
  • Bakhshi Movahed, A., Nozari, H., & Bakhshi-Movahed, A. (2025). Systematic Review of Smart Factories Production in Industry 5.0. Journal of Future Digital Optimization, 1(2), 1–22. https://doi.org/10.63630/JFDO.12.1 (crossref)
  • Nozari, H., Abdi, H., & Heidari, N. (2025). Robust-Fuzzy Optimization Model for Personalized Digital Advertising with a Digital Twin and Cognitive Intelligence Approach. Journal of Future Digital Optimization, 1(3), 1–20. https://doi.org/10.63630/JFDO.13.1 (crossref)
  • Nozari, H. and Aliahmadi, A. (2022). Lean supply chain based on IoT and blockchain: Quantitative analysis of critical success factors (CSF). Journal of Industrial and Systems Engineering, 14(3), 149-167.
  • Abdi, H. and Nozari, H. (2023). Optimization of location-routing-inventory problem for perishable products with WOA and ALO algorithms. Journal of Industrial and Systems Engineering, 15(2), 112-123.
  • Nozari, H. and Abdi, H. (2024). Greedy Man Optimization Algorithm (GMOA): A Novel Approach to Problem Solving with Resistant Parasites. Journal of Industrial and Systems Engineering, 16(3), 106-117.