BrainMap

Mihai Dascalu

Prof.

Professor - UNIVERSITATEA NAȚIONALĂ DE ȘTIINȚĂ ȘI TEHNOLOGIE POLITEHNICA BUCUREȘTI

Other affiliations

Corresponding Member - ACADEMIA OAMENILOR DE STIINTA DIN ROMANIA (Romania)

Researcher | Teaching staff | PhD supervisor

Web of Science ResearcherID: https://www.webofscience.com/wos/author/record/1262577

Curriculum Vitae (14/05/2024)

Expertise & keywords

Intelligent Digital Solutions for the Analysis and Dissemination of Old and Premodern Romanian literature Call name: P 4 - Proiecte de cercetare exploratorie - PCE-2021
PN-III-P4-PCE-2021-0300 2022 - 2024

Role in this project:

Coordinating institution: INSTITUTUL DE ISTORIE SI TEORIE LITERARA "G.CALINESCU"

Project partners: INSTITUTUL DE ISTORIE SI TEORIE LITERARA "G.CALINESCU" (RO)

Affiliation:

Project website: http://www.intelliv.ro

Abstract:

The project (specifically approaching Romanian literature) entitled Intelligent Digital Solutions for the Analysis and Dissemination of Old and Premodern Romanian literature focuses on the implementation of a digital intelligent platform (INTELLIV) designed to allow advanced searching services within different representative academic collections realized by `G.Calinescu` Institute of Literary History and Theory of Romanian Academy and centered on the research context related to the Old and Premodern Romanian literature (The Encyclopedia of Old Romanian Literature- ELIV; The Chronology of Old Romanian Literature - CLRV; Fundamental Texts of Old Romanian Literature - TLRV). The access to INTERLLIV platform (designed by a team of specialists from POLITEHNICA University of Bucharest) will be made by developing software instruments of automatic search and semantic analysis based on natural language processing techniques designed to allow the analysis and clustering of important amounts of information and materials related to the research space of our Old literature in its synchronic and diachronic extension (studies of history and literary criticism dedicated to Old Romanian literature, critical / diplomatic editions, specialized cartography on the dissemination of the Old Romanian writings, the evolution of the thematic, aesthetic emerging themes as well as the observation of the stylistic differences occurred along the development stages of the Romanian literary language)

Smart Career Profiler based on a Semantic Data Fusion Framework Call name: P 1 - SP 1.1 - Proiecte de cercetare pentru stimularea tinerelor echipe independente - TE-2021
PN-III-P1-1.1-TE-2021-1446 2022 - 2024

Role in this project:

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA NAŢIONALĂ DE ŞTIINŢĂ ŞI TEHNOLOGIE POLITEHNICA BUCUREŞTI (RO)

Affiliation:

Project website: http://careprofsys.upb.ro/

Abstract:

The project aims to provide career counseling based on advanced analytics of users’ profile, extracted automatically from various data sources: the school situation, CV, social media profiles or answers from web forms. The users of CareProfSys will receive recommendations of occupations held by people with similar profiles, using ontological inferences and machine learning classification algorithms. The database of profiles will be filled with information about professionals having occupations from “Romanian Occupations’ Classification” (COR) ontology (developed within the project), aligned with the European list of qualifications ESCO. A conversational agent will also offer customized advice about recommended occupations, while virtual 3D scenes will help users to visualize their future work activities. Besides students and high school pupils, the system will have several other stakeholders as well: career counseling centers from high-schools and universities, higher education institution, government, hiring companies. The system will exploit the latest technologies: semantic web, ontologies, machine learning, social network connectors, virtual reality on the web, recommendation agents and modern big data analytics application programming interfaces. Thus, the concept of a smart career path profiling system will be validated and tested by implementing it in an observed environment – the career development center from a Romanian university.

From Archive to Canon: A Distant Reading of the Romanian Novel (1845-1947) Call name: P 4 - Proiecte de Cercetare Exploratorie, 2020
PN-III-P4-ID-PCE-2020-2690 2021 - 2023

Role in this project:

Coordinating institution: UNIVERSITATEA LUCIAN BLAGA

Project partners: UNIVERSITATEA LUCIAN BLAGA (RO)

Affiliation:

Project website: https://grants.ulbsibiu.ro/arcan/

Abstract:

To what extent did the quantitative aspect of the production of Romanian novels influence their quality? And how can one answer such question when that involves reading hundreds or even thousands of novels? The ARCAN project brings together a team of 11 specialists – the leader, 3 experienced researchers, 5 young researchers, and 2 doctoral students – whose objective is to perform a “distant reading” of a corpus of 1,567 Romanian novels published in the period spanning 1845 and 1947. The project reunites qualitative formal instruments (which primarily include genre theory) and quantitative computational tools (which rely on NLP technologies); it sets out to investigate how canonic works fare against the literary archive of the epoch. Apart from being the first Romanian (and even European) endeavor of this kind, the originality of ARCAN lies with its interdisciplinary dimension, which combines humanities and computer sciences, the size of its corpus, and the high level of granularity of the categories (microgenres) used to classify novels. Therefore, our project sets out not only to generate significant national and especially international impact, but also to produce cultural, educational and economic effects beyond the realm of the academia.

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.

Automated Text Evaluation and Simplification Call name: P 1 - SP 1.1 - Proiecte de cercetare pentru stimularea tinerelor echipe independente
PN-III-P1-1.1-TE-2019-2209 2020 - 2022

Role in this project:

Coordinating institution: UNIVERSITATEA POLITEHNICA DIN BUCURESTI

Project partners: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website: https://readerbench.com/projects/ates

Abstract:

Writing is an essential learning activity that requires both practice and experience. Writing is performed in academic environments, at workspaces, or for personal purposes, and people’s ability to clearly and concisely express their ideas in a coherent manner is an essential skill, difficult to both evaluate and improve. ATES (Automated Text Evaluation and Simplification) aims to help users improve the quality of their writing, in both English and Romanian languages, by providing immediate feedback, tailored to their writing style. Complex Natural Language Processing techniques, including deep learning models, will be used to automatically score essays relying on textual complexity indices, together with word embeddings, applied on annotated datasets of documents. In addition, textual complexity indices, combined with various features of the cohesion graph, will trigger rules to improve the text by comparison to baseline domain-specific documents. The system will also make suggestions for text simplification in order to improve its readability. For this matter, machine translation models will be trained on existing text simplification datasets, augmented with paraphrases, and ordered by readability scores. Moreover, the overall complexity of the text will be measured by automatically computing word Age of Acquisition (AoA) scores through incremental semantic models and regression analyses, in order to approximate the age when people adequately learn a word’s meaning.

Fake News in Romanian: A Joint Discursive and Computational Approach Call name: P 1 - SP 1.1 - Proiecte de cercetare pentru stimularea tinerelor echipe independente
PN-III-P1-1.1-TE-2019-1794 2020 - 2022

Role in this project:

Coordinating institution: UNIVERSITATEA LUCIAN BLAGA

Project partners: UNIVERSITATEA LUCIAN BLAGA (RO)

Affiliation: UNIVERSITATEA LUCIAN BLAGA (RO)

Project website: https://grants.ulbsibiu.ro/fakerom

Abstract:

In recent years, fake news has become both a topic of increased interest for social sciences researchers (in media studies, sociology, psychology, political sciences, etc.) and a global phenomenon with profound political, social, economic, cultural and religious implications. FAKEROM, with a project team reuniting a project leader, a young researcher, two postdoctoral students, and a MSc student, sets out to produce the first in-depth study of fake news in the Romanian language and a contrastive analysis with at least two other languages by combining qualitative instruments (on a linguistic base, originating primarily in critical discourse analysis) with quantitative tools (on a computational base, involving particularly natural language processing techniques). The originality of the FAKEROM project, a pioneering endeavor in the Romanian ethnolinguistic area (the Republic of Moldova included), resides in its interdisciplinary approach, which brings together humanities and computer science, the size of the surveyed corpus (roughly 12,000 texts), and the high granularity of the categories deployed to classify the different types of news reports. The project aims not only to generate significant scientific impact (both at a national and international level) but also to trigger a series of tangible economic, social, educational, and cultural effects outside its academic context.

Automated System for Early Detection of Cyber Security Vulnerabilities (YGGDRASIL) Call name: P 2 - SP 2.1 - Proiect de transfer la operatorul economic
PN-III-P2-2.1-PTE-2019-0815 2020 - 2021

Role in this project:

Coordinating institution: CODA INTELLIGENCE SRL

Project partners: CODA INTELLIGENCE SRL (RO); UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website: https://yggdrasil.codaintelligence.com

Abstract:

The increase in number and types of cyber attacks in recent years appears as a result of vulnerabilities created by an accelerated process of digitization. This proposal presents the current state and directions of development of an automatic system for early detection of cyber vulnerabilities and threats, called Yggdrasil (name inspired by Nordic mythology), based on data from open sources: OSINT (Open-source intelligence). The innovative nature of this project is given by the real-time use of social media data and other relevant online sources open for identifying public references that present new types of cyber threats or types of zero day attacks, where reaction time is vital for limiting possible damages. The Yggdrasil project aims to improve cyber security services at a national and international level by reducing the chance of exploiting emerging vulnerabilities. The project team intends to develop, within 18 months, an automatic system for the early detection of vulnerabilities and cyber-attacks based on open source data (OSINT), competitive at a national and international level. The developed prototype has a technological maturity level TRL 4. The results of the laboratory tests demonstrate the functioning of the component technologies as a whole and describe its efficiency in identifying emerging cyber vulnerabilities through data obtained from open sources. Integration into existing systems to detect cyber threats in the form of personalized warning systems and news flow raises a number of challenges and opportunities.

Lib2Life- The revival of libraries and cultural heritage through advanced technologies Call name: P 1 - SP 1.2 - Proiecte complexe realizate in consorții CDI
PN-III-P1-1.2-PCCDI-2017-0689 2018 - 2021

Role in this project: Partner team leader

Coordinating institution: BIBLIOTECA CENTRALA UNIVERSITARA "CAROL I"

Project partners: BIBLIOTECA CENTRALA UNIVERSITARA "CAROL I" (RO); BIBLIOTECA CENTRALĂ UNIVERSITARĂ "M. EMINESCU" (RO); BIBLIOTECA CENTRALA UNIVERSITARA LUCIAN BLAGA (RO); BIBLIOTECA CENTRALA UNIVERSITARA EUGEN TODORAN (RO); UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO); INSTITUTUL NATIONAL DE CERCETARE - DEZVOLTARE IN INFORMATICA - ICI BUCURESTI (RO)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website: http://www.lib2life.ro

Abstract:

The project Lib2Life – the Revival of libraries and cultural heritage through advanced technologies has the purpose of reviving the role of the libraries as core institutions in the educational process; to give full meaning to a cultural heritage often shaded by the magnetism of the new digital formulas invading the concrete reality; to reinvent reading practices according to the profile of the contemporary user.

The project Lib2Life is developed by a consortium of four Central University Libraries, University Politehnica and the National Institute for Research and Development in Informatics, bringing together top specialists in the field of restoration of heritage documents, library science and advanced IT technologies.

The project Lib2Life has four sub-components with the following common objectives: developing new solutions for cultural heritage preservation; promoting it through cutting-edge methods and techniques; increasing access to info-documentary resources; improvement of the library services; knowledge and technology transfer to society.

The methods and techniques that will be put into practice will follow the highest standards of scientific innovation, without neglecting practical applicability. Thus, along with the colloquia and scientific publications, much of the Lib2Life project’s results have high socio-economic value: patents, registers and public access databases, software apps, guides for strategies and good practice.

Preservation and Capitalization of Romanian Literary Patrimony by Means of Intelligent Digital Solutions for Data Mining and Systematisation Call name: P 1 - SP 1.2 - Proiecte complexe realizate in consorții CDI
PN-III-P1-1.2-PCCDI-2017-0821 2018 - 2021

Role in this project: Partner team leader

Coordinating institution: INSTITUTUL DE ISTORIE SI TEORIE LITERARA "G.CALINESCU"

Project partners: INSTITUTUL DE ISTORIE SI TEORIE LITERARA "G.CALINESCU" (RO); UNIVERSITATEA LUCIAN BLAGA (RO); INSTITUTUL NATIONAL DE CERCETARE - DEZVOLTARE IN INFORMATICA - ICI BUCURESTI (RO); UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI (RO)

Project website: https://intellit.ici.ro/

Abstract:

The goal of the present project is to set up an intelligent digital platform able to provide services of search in three databases: General Dictionary of Romanian Literature (GDRL 2.0 – database including cca. 5000 entries, in Romanian, on Romanian writers from the beginning to date, whereas the English version includes 200 entries on representative Romanian writes), The Chronology of Romanian Literary Life (CRLL – database including abstracts of all relevant articles in Romanian cultural journals between 1944-2000) and Canonical Works of Romanian Literature (CWRL – database including the collected works of 28 representative Romanian writers exempt from the copyright law). The services provided by the platform are meant to cover: a semantic search for information, mining for emerging concepts at various time intervals, semantic clustering of documents, exploring intertextuality from the vantage point of lexical and semantic connections among textual fragments and a survey of writing evolution at various literary periods.

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: Partner team leader

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.

Early Nutrition eAcademy Southeast Asia Call name:
573651-EPP-1-2016-1-DE-EPPKA2-CBHE-JP 2016 - 2020

Role in this project: Partner team leader

Coordinating institution: LUDWIG-MAXIMILIANS UNIVERSITAET MUENCHEN

Project partners: LUDWIG-MAXIMILIANS UNIVERSITAET MUENCHEN (); UNIVERSITY OF SOUTHAMPTON (); CHULALONGKORN UNIVERSITY (); MAHIDOL UNIVERSITY (); UNIVERSITY OF MALAYA (); UNIVERSITI KEBANGSAAN MALAYSIA (); Nutrition Society of Malaysia (); Nutrition Association of Thailand (); UNIVERSITATEA POLITEHNICA DIN BUCURESTI ()

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI ()

Project website: http://enea-sea.eu

Abstract:

ENeA SEA project addresses nutritional challenges from Southeast Asia by developing e-learning modules that allowed doctors in practice to be up to date with the advancements in the medical field. UPB is developing a component that creates personalized curricula fitting learners’ needs.

Realising an Applied Gaming Eco-system Call name:
H2020-ICT-2014/H2020-ICT-2014-1 2015 - 2019

Role in this project: Partner team leader

Coordinating institution: OPEN UNIVERSITEIT NEDERLAND

Project partners: OPEN UNIVERSITEIT NEDERLAND (); UNIVERSIDAD COMPLUTENSE DE MADRID (); INSTITUTO DE ENGENHARIADE SISTEMAS E COMPUTADORES (); PlayGen Ltd (); OKKAM SRL (); FORSCHUNGSINSTITUT FUR TELEKOMMUNIKATION UND KOOPERATION EV (); THE UNIVERSITY OF BOLTON (); TECHNISCHE UNIVERSITAET GRAZ (); INMARK ESTUDIOS Y ESTRATEGIAS SA (); UNIVERSITEIT UTRECHT (); INSTITUTO DO EMPREGO E FORMACAO PROFISSIONAL (); NUROGAMES GMBH (); BIP MEDIA SARL (); SOFIISKI UNIVERSITET SVETI KLIMENT OHRIDSKI (); STICHTING PRAKTIJKLEREN (); GAMEWARE EUROPE LIMITED (); Ministério da Justiça (); GROUPE RANDSTAD FRANCE (); HULL COLLEGE OF FURTHER EDUCATION (); UNIVERSITATEA POLITEHNICA DIN BUCURESTI ()

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI ()

Project website: http://rageproject.eu

Abstract:

RAGE was a flagship project combining the expertise of 19 partners from 10 countries for building assets aimed at helping with the development of serious games using state-of-the-art technologies and methods. It connected private companies, like game studios, with universities and public sector organizations.

Digital Preparing for Dialogues for Older-adult Consultations Call name:
18106 2018 - 2018

Role in this project: Partner team leader

Coordinating institution: University of Utrecht

Project partners: University of Utrecht (); University of Edinburgh (); DialogueTrainer B.V. (); UNIVERSITATEA POLITEHNICA DIN BUCURESTI (); Vilans ()

Affiliation: UNIVERSITATEA POLITEHNICA DIN BUCURESTI ()

Project website: http://prepdoc.eu

Abstract:

Empowering elderly people in conversations with healthcare professionals, Activity ID 18106. This project’s outcome was an application that prepares elderly people in having conversations with healthcare professionals through simulated communications. Patients’ free text answers were matched with the most semantically similar predefined answer using various NLP techniques.

Innovative Technological HUB based on semantic models and high performance computing Call name:
P_39_405 2016 - 2018

Role in this project: Project coordinator

Coordinating institution: RESEARCH TECHNOLOGY SRL

Project partners: RESEARCH TECHNOLOGY SRL ()

Affiliation: RESEARCH TECHNOLOGY SRL ()

Project website: http://www.research-technology.ro/prhubtech/

Abstract:

The aim of this project was to stimulate innovation through the development of a technological hub that aggregates scientific resources aimed to ease the process of writing project proposals.

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