BrainMap

Mr. Ciprian-Octavian Truică

Ph.D.

Associate Professor - UNIVERSITATEA NAȚIONALĂ DE ȘTIINȚĂ ȘI TEHNOLOGIE POLITEHNICA BUCUREȘTI

Researcher | Teaching staff | Scientific reviewer | PhD supervisor

I am an Associate Professor of Computer Science at the Computer Science and Engineering Department, Faculty of Automatic Control and Computers, National University of Science and Technology Politehnica Bucharest. In 2024, I received my Habilitation in Computer Science. I received my Ph.D. (2018) in Data Management and Text Mining from the University Politehnica of Bucharest, Romania. I hold an M.Sc. Degree (2013) in Computer Engineering and Information Technology from the University Politehnica of Bucharest, a B.Sc. degree (2013) in Computer Science from the University of Bucharest, and a B.Eng. (2011) degree in Computer Engineering and Information Technology from the University Politehnica of Bucharest.

Web of Science ResearcherID: J-9536-2014

Expertise & keywords

ARTIFICIAL INTELLIGENCE UPGRADE FOR THE GENERIC DATA REDUCTION FRAMEWORK FOR SPACE SURVEILLANCE Call name: P 2 - SP 2.1 - Proiect de transfer la operatorul economic
PN-III-P2-2.1-PTE-2019-0554 2020 - 2022

Role in this project: Key expert

Coordinating institution: GMV INNOVATING SOLUTIONS S.R.L.

Project partners: GMV INNOVATING SOLUTIONS S.R.L. (RO); UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); INSTITUTUL ASTRONOMIC (RO)

Affiliation:

Project website: https://ai4gendared.ro:49339/

Abstract:

Space Surveillance and Tracking (SST) requires the development of observational campaigns to early identify Earth orbiting objects, estimate their orbital elements and monitor the evolution of their trajectories.

With a growing number of satellites being launched every year, there is an increasing interest in SST at worldwide level and especially across the EU. In this context, Romania is one of the few EU member states involved in such activities.

SST systems must implement an Image Data Reduction Subsystem, able to timely process the continuous exposures taken in an automatic and continuous way by optical telescopes, analyse these data sets to identify objects of interest (target objects) and retrieve accurate measurements of the apparent position and brightness of the detected objects. In the last step, the tool generates tracklet information for the identified target objects.

This proposal’s main goal is to upgrade GMV’s existing proprietary solution for an SST data reduction framework (GENDARED) with artificial intelligence algorithms for image processing, considered mature enough to be adapted to optical telescope imagery.

The consortium is led by GMV and perfectly complemented by the Faculty of Automatic Control and Computer Science, with a vast experience in machine learning and artificial intelligence algorithms for image processing, and by the Astronomical Institute of the Romanian Academy, as owner of SST telescopes, data provider and one of the tool’s possible end-users.

By integrating artificial intelligence techniques into the current GENDARED framework, we expect to improve its performance, reduce user involvement and computational costs, as well as increase pipeline autonomy.

The upgraded solution will be tested and validated in representative scenarios based on real telescope data, with the ultimate goal of converting the prototype into a product that will be validated in an SST operational environment.

The Robots and the Society: Cognitive Systems for Personal Robots and Autonomous Vehicles Call name: P 1 - SP 1.2 - Proiecte complexe realizate in consorții CDI
PN-III-P1-1.2-PCCDI-2017-0734 2018 - 2021

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); INSTITUTUL DE CERCETARI PENTRU INTELIGENTA ARTIFICIALA ,,MIHAI DRAGANESCU'' (RO); INSTITUTUL DE MATEMATICA "SIMION STOILOW" AL ACADEMIEI ROMANE (RO); UNIVERSITATEA TEHNICA DIN CLUJ - NAPOCA (RO); UNIVERSITATEA "DUNAREA DE JOS" (RO)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website: http://aimas.cs.pub.ro/robin/

Abstract:

ROBIN is a user-centered project designing software systems and services for the use of robots in an interconnected digital society, and enables companies to develop complex, intelligent and ready-to-use products and services for these users, as well as for the society as a whole. The project covers a diverse range of robots: assistive robots for the support of people with special needs, social robots for interaction with store customers, and software robots that can be installed on intelligent vehicles to achieve autonomous car driving. The project combines advanced techniques and technologies of artificial intelligence, human-robot interaction, interactions with a pervasive intelligent environment, and Cloud processing.

ROBIN-Social develops integrated and easily configurable solutions for the personalization of assistive and social robots, with a cognitive and autonomous character.

ROBIN-Car develops computer vision methods, which resolves a large and sophisticated plethora of tasks for automated driving, and a prototype system which will be tested on an electrical vehicle.

ROBIN-Context creates a support platform for the semantic representation and efficient management of data that becomes context in scenarios of personalized robotic assistance and AADS.

ROBIN-Dialog develops a set of scenarios for micro-worlds and the technology for the Romanian language processing to achieve situational dialogs in these micro-worlds.

ROBIN-Cloud builds a support platform for collecting data coming from the sensors of robotic systems and IoT systems that offers Cloud Edge and Cloud Robotics computing.

The complex project, through the interaction of its developed components, brings significant contributions in fundamental research, applied research, innovation, and technological transfer, offers advanced scientific and technical services, and contributes to the enhancement of the institutional capacity of the 4 partners in the consortium.

The Robots and the Society: Cognitive Systems for Personal Robots and Autonomous Vehicles Call name:
PN-III/ Nr. ctr. 72PCCDI/01.03.2018 2018 - 2020

Role in this project: Key expert

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website:

Abstract:

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List of research grants as project coordinator or partner team leader
Significant R&D projects for enterprises, as project manager
R&D activities in enterprises
Peer-review activity for international programs/projects