Behnam Zendehdel Nobari

Research Assistant

Lisbon, Portugal

2 profile visits

PhD Candidate in Marketing at ISCTE Lisbon, researching AI-driven marketing, decision-making, human-AI interaction, and applied AI solutions across industries.

About me

CV Summary

Behnam Zendehdel Nobari is a PhD Candidate in Management (Marketing) at ISCTE Business School, University Institute of Lisbon, and a PhD Fellow at the Business Research Unit (BRU). His doctoral research focuses on data-driven decision-making and human–AI interaction in marketing, with particular emphasis on how AI-based recommendations and advisory chatbots influence relationship dynamics, customer well-being, and communication strategies.

Alongside his doctoral research, his recent academic work has focused on the identification, classification, and management of artificial intelligence risks in organizational and workforce contexts, employing empirical and systems-based analytical approaches. Building on this foundation, his research interests extend to AI-driven marketing analytics, relationship marketing, Python-based data analysis, and data mining. In parallel, he has contributed to the conceptual design of applied artificial intelligence initiatives in pharmaceutical marketing intelligence, agricultural supply chain optimization, and organizational risk assessment. Notably, the agricultural AI solution he designed was accepted for pilot implementation within the AGRIFOOD4FUTURE Open Innovation and Challenge-Based Program and selected for execution at Monte Silveira Farm (Portugal).

Behnam brings over 18 years of professional experience across construction, manufacturing, energy, real estate, and marketing sectors in the Middle East and Europe, which strongly informs his applied and interdisciplinary research perspective.

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Call topics of interest

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HORIZON-CL4-2025-03-DIGITAL-EMERGING-07: Robust and trustworthy GenerativeAI for Robotics and industrial automationHORIZON-CL4-2025-03-HUMAN-19: International cooperation in semiconductors HORIZON-CL4-2025-03-HUMAN-18: GenAI4EU central HubHORIZON-CL4-2025-03-HUMAN-16: Drive the evolution of the internet towards open and interoperable Web 4.0 and Virtual Worlds: building blocks in priority areas HORIZON-CL4-2025-03-HUMAN-15: GenAI4EU: Generative AI for Virtual Worlds: Advanced technologies for better performance and hyper personalised and immersive experienceHORIZON-CL4-2025-03-HUMAN-14: Core technologies for virtual worldsHORIZON-CL4-2025-04-HUMAN-08: GenAI for Africa HORIZON-CL4-2025-04-DIGITAL-EMERGING-07: Enhanced Learning Strategies for General Purpose AI: Advancing GenAI4EUHORIZON-CL4-2025-04-DIGITAL-EMERGING-04: Assessment methodologies for General Purpose AI capabilities and risks

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