Aniello Castiglione
Papers
4
Total Citations
68
H-Index
3
About
Aniello Castiglione’s research sits at the intersection of cybersecurity, human-robot interaction, and edge-cloud intelligence. He is best known for advancing our understanding of how social robots can be exploited in social engineering attacks—a critical and timely contribution as robots become embedded in daily life. His work reveals how psychological manipulation techniques, when deployed through robotic platforms, pose novel threats to information security. Castiglione has also made significant strides in computer vision, co-authoring an extensive survey on head pose estimation that has garnered 49 citations, synthesizing decades of techniques and applications. More recently, he has explored tactile and virtual experiences in fog computing environments, aiming to enable natural, real-time human-robot interaction. His 2024 paper on priority matching-based pose verification for edge-cloud collaborative IoT demonstrates his ongoing push toward efficient, precise visual location estimation. With a growing citation footprint and a portfolio that bridges security, robotics, and distributed systems, Castiglione is shaping how we think about trust and interaction in an increasingly automated world.
Research Focus
Key Achievements
Top Papers
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- 3Waiting for Tactile: Robotic and Virtual Experiences in the Fog3 citations · 2021
- 4