Mehran Tarif Hokmabadi

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foto, 19 dicembre 2024
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Iscritto
Dottorato in Informatica - 40° Ciclo (1 ottobre 2024 - 30 settembre 2027)
Settore disciplinare
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Dottorato in Informatica - 40° Ciclo (1 ottobre 2024 - 30 settembre 2027)

Attività formative dottorato
As part of my teaching activities at the University of Verona, I contribute to the Master’s-level course on Internet of Things (IoT), where I guide students through both theoretical foundations and hands-on applications. The course covers topics such as IoT architectures, embedded systems, sensor networks, digital twins, and real-time data processing, with a strong emphasis on applying AI and computer vision in agricultural and industrial contexts. Through practical labs and project-based learning, students gain experience with ESP32/ESP32-CAM programming, IoT data pipelines, and cloud-based deployment, preparing them to design scalable and intelligent IoT solutions for research and real-world challenges.

Mehran Tarif
PhD Student in Computer Science
University of Verona, Italy

I am a PhD student in Computer Science at the University of Verona (Supervisor: Prof. Davide Quaglia), funded by the iNEST Project (Spoke 7 – Agrifood). My research focuses on Agricultural AI, computer vision, 3D plant reconstruction, digital twins, and neuromorphic computing, with the aim of developing intelligent systems that advance precision agriculture and sustainable farming.

My current work includes VISAR, an intelligent video-based frame selection pipeline that improves the efficiency and quality of agricultural 3D plant phenotyping. Alongside this, I am conducting ongoing research in digital twins and neuromorphic computing to design scalable, energy-efficient, and biologically inspired AI systems for agricultural and IoT applications. I also have experience in embedded systems and agricultural digital twins, where I designed and deployed automated monitoring systems for real-world field studies.

Before joining Verona, I completed an MSc in Software Engineering at Islamic Azad University (Ardabil, Iran), where I graduated first in my class with a perfect GPA and worked on energy-efficient routing in underwater IoT networks, resulting in several publications. I also hold a bachelor’s degree in Nursing, which provides me with an interdisciplinary perspective bridging healthcare and technology.

Beyond my research, I am active in teaching and mentoring master’s students in AI and computer vision, and I create global educational content through my Silicium7 YouTube channel, reaching over 10,000 subscribers and 1 million views with programming and AI tutorials.

My broader research interests include deep learning for precision agriculture, digital twins, neuromorphic computing, embedded AI systems, fraud detection, and large language models.

mehran-tarif.com
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