REFSQ 2025
Mon 7 - Thu 10 April 2025 Barcelona, Spain
Mohammad Amin Zadenoori

Registered user since Thu 6 Feb 2025

Name:Mohammad Amin Zadenoori
Bio:

I am a Postdoctoral Researcher at the Consiglio Nazionale delle Ricerche (CNR), where my research focuses on advancing Prompt Engineering in Requirements Engineering. My work explores how Large Language Models (LLMs) can automate and enhance tasks such as requirements classification, elicitation, and traceability.

Previously, I served as an Industrial Research Fellow at MAIOR, an Italian leader in operational research software for public transport planning. There, I applied AI and machine learning to optimize trip classifications and schedule planning using tools like Scikit-learn, TensorFlow, and PyTorch. My contributions included developing scalable AI-driven web applications, enhancing resource-constrained scheduling, and implementing customer support systems powered by open-source LLMs.

I hold a PhD in Computer Engineering from the University of Florence, specializing in Machine Learning. My technical expertise spans Natural Language Processing (NLP), deep learning, cloud technologies, and full-stack AI development, with a proven track record of applying AI to solve real-world problems in research and industry.

Country:Italy
Affiliation:CNR-ISTI
Research interests:Machine learning

Contributions

2025

Requirements Engineering: Foundation for Software Quality (REFSQ)

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