
About
Giuseppina Andresini serves as an Assistant Professor in the Department of Computer Science at the University of Bari Aldo Moro, specializing in deep learning, data mining, cybersecurity, and big data analytics with applications in malware analysis, intrusion detection, and environmental monitoring. Her research bridges critical security challenges and ecological observation through advanced AI techniques.
She earned her Laurea degree in Computer Science from the University of Bari Aldo Moro in April 2018, graduating with highest honors (110/110 cum laude) for her thesis on data mining. Her academic foundation directly informs her dual research trajectory in cybersecurity and remote sensing.
Andresini's primary research domains include Data Mining, Cybersecurity, Intrusion Detection, Big Data Analytics, and Deep Learning. She pioneers explainable AI (XAI) integration in security systems to enhance transparency while developing novel deep learning architectures for satellite-based environmental monitoring. Her work consistently addresses real-world challenges in network security and forest ecosystem analysis.
Analysis of her 15 most recent publications reveals a distinct dual research focus: cybersecurity (65% of output) emphasizing malware detection, intrusion systems, and adversarial robustness; and environmental remote sensing (35%) applying deep learning to satellite imagery for forest health monitoring. She frequently employs ensemble methods, graph neural networks, and semantic segmentation techniques across both domains, with increasing emphasis on explainability and data-centric approaches since 2022.
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