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Short bio

My name is Damiano Verda, I was born in 1985 and since March 2019 I'm the head of the workflow development department at Rulex, Inc., after having worked there for four years, as a Data Engineer, as a Senior Software Engineer and as a Senior Data Scientist. Before joining the company, I worked as a fellow researcher at the italian National Research Center (CNR-IEIIT) in Genova for one year, being involved in the Interomics flagship project and being tutored by Marco Muselli.

In September 2020 I got my second Master Degree, in Management Engineering, at the International Telematic Uninettuno University: 110/110 cum laude, with a thesis on "Study and development of algorithms for urban freight distribution".

My research at Rulex and at CNR-IEIIT is focused on frequent pattern mining and on interpretable models: this led to the publication of the "Logic Learning Machine and standard supervised methods for Hodgkin’s lymphoma prognosis using gene expression data and clinical variables" paper in Health Informatics Journal (March 2018) and of the "Unsupervised learning and rule extraction for Domain Name Server tunneling detection" paper in the March/April 2019 issue of Internet Technology Letters.

Before starting my postdoc year at CNR-IEIIT, I had obtained a PhD in Electronic, Computer, Robotic and Telecommunication Engineering from the University of Genova in April 2014: during the PhD, my research was focused on robotic perception. One of the goals was to adapt SLAM (Simultaneous Localization and Mapping, normally used in mobile robotics to automatically build a map of the explored environment and to estimate the followed path), to the use with wearable sensors: a laser scanner and a 6-DOF Inertial Measurement Unit were used, both were fixed on a helmet. Furthermore, an object category recognition technique, based on the data gathered by a Microsoft Kinect sensor, was developed. Both projects gave rise to scientific publications, on the Robotics And Autonomous Systems journal, edited by Elsevier, in December 2011 and December 2013 respectively.

During the period spent abroad at the Robotic and Perception Group of the University of Zurich (led by prof. Davide Scaramuzza) I contributed to develop a position tracking technique for Micro Air Vehcile which uses a 3D model of the considered area. The results are described in the papers "Micro Air Vehicle Localization and Position Tracking from Textured 3D Cadastral Models", published in the proceedings of the ICRA (International Conference on Robotics and Automation) conference 2014 and "Air-ground Matching: Appearance-based GPS-denied Urban Localization of Micro Aerial Vehicles", published by the Journal of Field Robotics in October 2015.

Previous study experience:

Among my interests: writing, music, theater and chess.

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