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Muhammad Azaz Farooq

Dottorando

Dipartimento di Informatica - Scienza e Ingegneria

Tutor didattico

Dipartimento di Informatica - Scienza e Ingegneria

Settore scientifico disciplinare: ING-INF/05 SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI

Nota biografica

I am a PhD student supervised by Prof. Paolo Bellavista, focusing on autoencoding based anomaly detection real-time IoT, edge and cloud environments. My research addresses the off-the-shelf ML systems in industry by developing tailored, intelligent solutions for real-time monitoring and automation.

I collaborated with Marposs, where I successfuly deployed a real-world version of my system in an industrial environment. My work combines machine learning, data science, edge and cloud computing and domain specific AI to enable faster, scalable, and smarter decision making in a IoT-Edge-Cloud Continuum. 

My research focuses on autoencoding techniques for anomaly detection in real-time edge, cloud, and IoT environments.My research focuses on autoencoding techniques for anomaly detection in real-time edge, cloud, and IoT environments.
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Contatti

E-mail:
muhammadazaz.farooq2@unibo.it

Dipartimento di Informatica - Scienza e Ingegneria
Mura Anteo Zamboni 7, Bologna - Vai alla mappa

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