Natural Language Processing Large Language Models Machine Learning Deep Learning Multilingual NLP Information Retrieval Conversational AI Text Mining Computational Linguistics Human-Centered AI Responsible AI

Natural Language Processing

Building Intelligent Language Technologies

We design, fine-tune, and evaluate state-of-the-art NLP architectures, including large language models for text understanding, dialogue systems, and generation in multilingual and domain-specific environments.

From Data to Meaning

Our research integrates linguistic theory, neural architectures, and LLM-based representations to create interpretable, data-efficient, and adaptive language processing systems.

Collaborative and Applied Research

We engage in joint projects and applied studies with industrial and academic partners, exploring practical applications of LLMs and NLP technologies in conversational AI, education, and digital transformation.

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Collaboration

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Joint R&D projects

Student thesis supervision (BSc, MSc, PhD)

Industry-academia partnerships for LLM-based NLP solutions and technology transfer

Collaborative research on domain-adapted language models

Latest Research Projects

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Patents

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Latest Research Publications

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OPTIMIZE: PILOT USABILITY EVALUATION OF AN EMPLOYEE PRODUCTIVITY MONITORING SYSTEM
RAZVAN PAROIU, Iorga Denis, Alexandru-Lucian DIMA, STEFAN RUSETI, COSMIN KARL BANICA, RAZVAN VICTOR RUGHINIS, MIHAI DASCALU, UPB Scientific Bulletin, Series C , 2025,
Show Me All Writing Errors: A Two-Phased Grammatical Error Corrector for Romanian
Mihai-Cristian TUDOSE, STEFAN RUSETI, MIHAI DASCALU, Information MDPI, 2025, 001452749900001 10.3390/info16030242
YMCQ: Reasoning-Enhanced MCQ Generation
ANDREEA-NICOLETA DUTULESCU, STEFAN RUSETI, DENIS-NICOLAE IORGA, MIHAI DASCALU, Danielle S. MCNAMARA, International Conference on Artificial Intelligence in Education Springer, 2025,
One Model to Score Them All: Unified Scoring of Learning Strategies with LLMs
ANDREEA-NICOLETA DUTULESCU, STEFAN RUSETI, MIHAI DASCALU, Danielle S. MCNAMARA, Proceedings of the 18th International Conference on Educational Data Mining , 2025, 10.5281/zenodo.15870258
Automated Pipeline for Multi-lingual Automated Essay Scoring with ReaderBench
STEFAN RUSETI, IONUT CRISTIAN PARASCHIV, MIHAI DASCALU, Danielle S. MCNAMARA, International Journal of Artificial Intelligence in Education SPRINGER, 2024, 001194871700001 10.1007/s40593-024-00402-4

Top Research Publications

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Combining Click-Stream Data with NLP Tools to Better Understand MOOC Completion
Scott Andrew CROSSLEY, Luc PAQUETTE, MIHAI DASCALU, Ryan S. BAKER, Proceedings of LAK `16 CONFERENCE PROCEEDINGS: THE SIXTH INTERNATIONAL LEARNING ANALYTICS KNOWLEDGE CONFERENCE, ASSOC COMPUTING MACHINERY, 2016, 000390844700002 10.1145/2883851.2883931
Predicting Text Comprehension, Processing, and Familiarity in Adult Readers: New Approaches to Readability Formulas
Scott Andrew CROSSLEY, Stephen SKALICKY, MIHAI DASCALU, Kristopher KYLE, DISCOURSE PROCESSES ROUTLEDGE JOURNALS, TAYLOR FRANCIS LTD, 2017, 000407396000002 10.1080/0163853X.2017.1296264
Participation in virtual academic communities of practice under the influence of technology acceptance and community factors. A learning analytics application
Beate BALTES, MIHAI DASCALU, Dan-Gheorghe Mihaila, George SMEATON, STEFAN TRAUSAN-MATU, COMPUTERS IN HUMAN BEHAVIOR PERGAMON-ELSEVIER SCIENCE LTD, 2014, 000335630100040 10.1016/j.chb.2013.10.051
The Tool for the Automatic Analysis of Cohesion 2.0: Integrating semantic similarity and text overlap
Scott Andrew CROSSLEY, Kristopher KYLE, MIHAI DASCALU, Behavior Research Methods SPRINGER, 2019, 000461719100002 10.3758/s13428-018-1142-4
PolyCAFe-automatic support for the polyphonic analysis of CSCL chats
STEFAN TRAUSAN-MATU, MIHAI DASCALU, TRAIAN EUGEN REBEDEA, International Journal of Computer-Supported Collaborative Learning SPRINGER, 2014, 000341087500002 10.1007/s11412-014-9190-y

Our Research Team

Meet the brilliant minds driving innovation in Artificial Intelligence (AI), AI in Education, Human-Centered AI, Computer-Supported Collaborative Learning, Human-Computer Interaction

Full Professor, Faculty Council, Department Council

Mihai DASCALU

Courses

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Recent books

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The 22th IEEE International Conference on Advanced Learning Technologies
Maiga CHANG, MIHAI DASCALU, STEFAN TRAUSAN-MATU, IEEE, 2022,
Programare orientată pe obiecte în limbajul Java
FLORINA - OANA MITRUT, MIHAI DASCALU, Politehnica Press, 2020,
Proiectarea algoritmilor. O abordare practică
TRAIAN EUGEN REBEDEA, MIHAI DASCALU, STEFAN TRAUSAN-MATU, , 2016,
A paper recommendation system with readerbench: the graphical visualization of semantically related papers and concepts
IONUT CRISTIAN PARASCHIV, MIHAI DASCALU, Philippe DESSUS, STEFAN TRAUSAN-MATU, Danielle S. MCNAMARA, , 2016, 10.1007/978-981-287-868-7_53
Tehnologii Web Centrate pe Interacțiunea Om-Calculator
COSTIN GABRIEL CHIRU, MIHAI DASCALU, VLAD VALENTIN POSEA, STEFAN TRAUSAN-MATU, , 2015,
Analyzing Discourse and Text Complexity for Learning and Collaborating: A Cognitive Approach Based on Natural Language
MIHAI DASCALU, Springer, Studies in Computational Intelligence, 2014, 10.1007/978-3-319-03419-5