Marco Polignano

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About

Marco Polignano’s research sits at the compelling intersection of social robotics and artificial intelligence, where he explores how machines can meaningfully interact with humans. His most influential work, “Advanced Programming of Intelligent Social Robots” (2019, 12 citations), pioneers the integration of social robots into educational settings—not merely as tools, but as tutors, learning companions, and therapeutic assistants. This contribution is particularly significant as it addresses the practical challenges of programming robots to adapt to dynamic classroom environments, laying groundwork for a future where robots support personalized learning. In parallel, Polignano tackles the darker side of digital interaction with his work on bot detection. His paper “Identification Of Bot Accounts In Twitter Using 2D CNNs On User-generated Contents” (2019, 6 citations) introduces an innovative deep-learning approach that transforms user-generated text into visual representations, enabling convolutional neural networks to spot automated accounts spreading misinformation and scams. This dual focus—building beneficial social agents while defending against malicious ones—demonstrates a rare breadth. Polignano’s work is especially notable for its practical orientation: he doesn’t just theorize about intelligent systems but provides concrete programming frameworks and detection methodologies that other researchers can immediately apply.