meLuca Rossi BSc, MSc, Phd
Lecturer (Assistant Professor) in Computer Science
Department of Computer Science and Engineering
Southern University of Science and Technology

Short Bio

I am an Assistant Professor in Computer Science at the Southern University of Science and Technology, Shenzhen, China. My current research interests are in the areas of Structural Pattern Recognition, Machine Learning, Data and Network Science. I received a BSc and a MSc (both summa cum laude) in Computer Science at Ca' Foscari University of Venice in 2008 and 2010, respectively. In 2013 I completed my PhD at Ca' Foscari University of Venice under the supervision of Dr. Andrea Torsello. From March 2012 to September 2012 I visited the Computer Science Department of York University (UK), under the supervision of Prof. Edwin R. Hancock. During this period, I investigated novel ways to apply quantum models, and particularly quantum walks, to graph-based pattern recognition and complex networks analysis. From June 2013 to July 2015 I worked as a Postdoctoral Research Fellow at the School of Computer Science of the University of Birmingham (UK), in the "Networked Systems and Data Science Lab" led by Dr. Mirco Musolesi. From June to July 2015 I was a Visiting Researcher at the Department of Geography of the University College of London (UK). Before joining SUSTech in October 2018, I was an Assistant Professor at Aston University (UK) from August 2015 to September 2018.
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Postdoctoral and PhD Opportunities at SUSTech

    I'm looking for highly motivated PhD students, Research Assistants, and Postdoctoral Researchers to join my lab in the Southern University of Science and Technology, Shenzhen, China. Established in 2011, SUSTech is one of the fastest growing institutions in the world and it’s based in what has been dubbed the Silicon Valley of China. Depending on the position, applicants should have demonstrable experience of working in one or more of the following areas: machine learning, particularly structural pattern recognition and/or deep learning for structured data, data/network science, quantum information. For prospective PhD students, a strong mathematical background and a solid knowledge of machine learning are required. For further details and to learn about the available funding opportunities interested applicants should contact Dr. Luca Rossi at or Ms. Xiaolin Yang at Review of applications will begin immediately and continue until the positions are filled.

News & Upcoming Events

  • A Deep Hybrid Graph Kernel Through Deep Learning Networks has been accepted at ICPR 2018.
  • Venice through the Lens of Instagram: A Visual Narrative of Tourism in Venice has been accepted at LocWeb 2018.
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Hierarchical Medial Surfaces Extraction - Download code (C++).

sample skeleton

This code implements our density-corrected algorithm for the extraction of medial surfaces from 3D shapes. If you use this code, please cite the paper:
L. Rossi, A. Torsello, Coarse-to-Fine Skeleton Extraction for High Resolution 3D Meshes, Computer Vision and Image Understanding, 118:140-152, 2014

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Research Visiting Positions

  • June-July 2015: University College London - Department of Geography.
  • March-September 2012: University of York- Department of Computer Science - CVPR research group.
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Reviewer For

  • Pattern Recognition
  • Pattern Recognition Letters
  • IEEE Conference on Computer Vision and Pattern Recognition
  • European Conference on Computer Vision
  • Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition
  • International Joint Conference on Artificial Intelligence
  • Brain Informatics
  • Computer Vision and Image Understanding

Associate Editor For

  • Pattern Recognition
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