BrainMap

Mr. Bogdan-Costel Mocanu

PhD. Computer Science and Engineering

- UNIVERSITATEA NAŢIONALĂ DE ŞTIINŢĂ ŞI TEHNOLOGIE POLITEHNICA BUCUREŞTI

Researcher | Teaching staff | Scientific reviewer | Consultant

Bogdan-Costel MOCANU is an Assistant Professor at the Faculty of Automatic Control and Computers, Department of Computer and Information Technology of the National University of Science and Technology POLITEHNICA Bucharest. He earned his Ph.D. in 2019 and continuously demonstrated remarkable growth and improvement in his expertise and contributions in multiple areas of research including Peer-to-Peer systems, Distributed systems, Cloud computing, Big Data, Real-time scheduling, and data security. He has consistently pushed the boundaries of knowledge in Computer science and Information technology through his holistic research approach, bridging theoretical insights with practical applications, establishing him as a mature researcher at the forefront of multidisciplinary technological advancements.

Web of Science ResearcherID: AAT-3386-2021

Curriculum Vitae (08/09/2021)

Expertise & keywords

Computer system for real-time transcription of speech to text for the Romanian language and recognition of emotional states in emergency calls 112 Call name: P 2 - SP 2.1 - Soluţii - 2021
PN-III-P2-2.1-SOL-2021-2-0223 2021 - 2023

Role in this project:

Coordinating institution: Academia Tehnică Militară „FERDINAND I”

Project partners: Academia Tehnică Militară „FERDINAND I” (RO); ATOS CONVERGENCE CREATORS S.R.L. (RO); UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Affiliation:

Project website: https://mta.ro/odin112/

Abstract:

The aim of the project is the development of an integrated computer system for real-time transcription of speech to text for Romanian and recognition of a caller's emotional states from emergency calls (to 112), using machine learning / deep learning solutions, functionally independent of other Internet resources. The results will improve the management of records resulting from 112 emergency calls, increase the quality, efficiency and effectiveness of 112 call management activities by recognizing and classifying the caller's emotional states from emergency calls, simultaneously with the interoperability through standardized interfaces of the computer system with the SNUAU system.

Real-time Data Processing Platform for Smart Cities: Making sense of Big Data Call name: Projects for Young Research Teams - RUTE -2014 call
PN-II-RU-TE-2014-4-2731 2015 - 2017

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: http://dataway.hpc.pub.ro

Abstract:

More and more applications generate and handle very large volumes of data. In particular, this is true for Smart City applications, which attract a rapidly increasing interest from government, companies, citizens, developers, scientists, etc. Applications are fed with huge amounts of input data, in various formats, from a continuously increasing number of sources (sensors, governmental, regional, and municipal sources, citizens, public open data sources, etc.), and are describe by complex workflows that impose real-time processing for decision taking. DataWay project will develop generic principles, methods and algorithms encapsulated in a real-time processing platform for Big Data, which supports Smart City applications that will be gathered / routed / stored via mobile devices and processed / diffused via a more standard Cloud. The main scope of this platform is to extract valuable data to be used in real-time decision taking. We describe these data obtained by different techniques of data reducing, data cleaning, and data aggregation. DataWay platform will be connected to multiple streams of data, analyze data as flows and deliver data to a Cloud infrastructure. The validation of the proposed processing platform we will use applications that, based on pattern recognition and extraction, will assist transportation system in cities (e.g. traffic optimization) and crowd management (reliable communication, multimedia data sharing, path formation, message delivery, etc.).

FILE DESCRIPTION	DOCUMENT
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