Dr Mario Gianni
Profiles

Dr Mario Gianni

Lecturer in Computer Science

School of Computing, Electronics and Mathematics (Faculty of Science & Engineering)

Role

  • from September 2017 until now - Module Leader for teaching of Parallel Computation and Distributed Systems, Theoretical Computer Science and Embedded Systems 
  • from April 2015 to September 2017 - Assistant Professor at the Department of Computer, Control, and Management Engineering Antonio Ruberti, La Sapienza University of Rome, Italy. 

Qualifications

  • 2014 - Ph.D. in Computer Engineering, Department of Computer, Control, and Management Engineering Antonio Ruberti, La Sapienza University of Rome, Italy. 
  • 2009 - M. Sc. in Artificial Intelligence and Robotics, with honours, Department of Computer, Control, and Management Engineering Antonio Ruberti, La Sapienza University of Rome, Italy.

Teaching interests

  • SOFT261 - Embedded Programming and the Internet of Things
  • SOFT354 - Parallel Computation and Distributed Systems
  • ISAD515 - Computational Problem Solving and Computer Systems
  • AINT514 - Computer Science Workshop

Research interests

  • Deep learning for Robot Perception and Active Recognition and Control
  • Knowledge Representation and Reasoning
  • Multi-robot systems
  • Urban Search & Rescue Robotics
  • Cognitive Robotics
  • High Level Robot Control
  • Human-robot Interaction and Collaboration
  • 3D Mapping and 3D Path Planning
  • 3D Motion Planning and Control
  • Augmented Reality and Symulation

Grants & contracts

  • 2017 - NVIDIA Academic GPU Grant with a project proposal about the use of techniques from deep learning for Terrain Traversability Assessment and Active Terrain Analysis for tracked robots in harsh environments. 
  • 2016 - Best Late Breaking Report Award at the  2016 IEEE International Symposium on Safety, Security and Rescue Robotics for the paper 3D Localization, Mapping and Path Planning for Search and Rescue Operations.
  • 2013 - Best Paper Award Finalist at the 11-th IEEE International Symposium on Safety, Security and Rescue Robotics for the paper An augmented reality approach for trajectory planning and control of tracked vehicles in rescue environments
 

Gianni, M. Garcia, M. and Pirri, F. Learning the Dynamics of Articulated Tracked Vehicles. World Academy of Science, Engineering and Technology, International Science Index 114, International Journal of Computer, Electrical, Automation, Control and Information Engineering, 10(6):1063-1066, 2016. 

Gianni, M. Nardi, F. Ferri, F. Cantucci, F. Garcia, M. Pushparaj, K. and Pirri, F. MIOM: A Mixed-Initiative Operational Model for Robots in Urban Search and Rescue. World Academy of Science, Engineering and Technology, International Science Index 114, International Journal of Computer, Electrical, Automation, Control and Information Engineering, 10(6):1052-1062, 2016.