Knowledge Engineering with Models, Ontologies and Diagrams
Research in knowledge engineering is conducted at the Research Laboratory of System Modelling and Software Technologies in the following directions:
- domain-specific modeling languages, model transformations, modeling tool development,
- semantic technologies and tools (e.g. OWLGrEd, ViziQuer), ontology-based data modeling,
- ad-hoc query languages for medical and other domain experts,
- advanced graph diagram visualization techniques.
Leading researchers: Jānis Bārzdiņš, Kārlis Čerāns, Audris Kalniņš, Agris Šostaks, Elīna Kalniņa, Sergejs Kozlovičs, Edgars Rencis, Lelde Lāce, Artūrs Sproģis, Kārlis Freivalds, Paulis Ķikusts.
Machine Learning and Computational Linguistics
Research in machine learning and computational linguistics and is conducted at the Artificial Intelligence Laboratory (with participation of Research Laboratory of System Modelling and Software Technologies) in the following directions:
- speech recognition and text-to-speech synthesis for Latvian,
- syntactic and semantic parsing for multilingual information extraction and summarisation,
- multilingual natural language generation,
- controlled natural language for knowledge representation (multilingual authoring, verbalisation and querying of ontologies),
- machine translation (statistical, neural, rule-based)m,
- development of annotated Latvian language resources for natural language processing (NLP): lexicons, speech corpora, text corpora (incl. treebanks and sembanks),
- computational lexicography and corpus linguistics,
- deep neural networks for classical algorithm learning,
- creation of Latvian language support resources.
Leading researchers: Normunds Grūzītis, Guntis Bārzdiņš, Renārs Liepiņš, Inguna Skadiņa, Ilze Auziņa, Pēteris Paikens, Kārlis Freivalds, Artūrs Sproģis, Andrejs Spektors.
Bioinformatics
Research in bioinformatics is conducted at the Research Laboratory of System Modelling and Software Technologies in the following directions:
- modelling and analysis of gene regulatory and other bio-molecular interaction networks,
- motif search in protein structures and protein structure comparison,
- analysis of NGS datasets,
- algorithms for haplotype consistency analysis,
- application of deep learning methods to analysis of bioinformatics and biomedical data,
- software and data repositories for storing and analysis of bioinformatics and biomedical informatics data,
- software for integration of data from bioinformatics and biomedical informatics data repositories.
Leading researchers: Juris Vīksna, Kārlis Čerāns, Edgars Celms, Kārlis Freivalds.
Read more: http://bioinf.mii.lu.lv/
Real-Time and Autonomous Systems
Research in real-time and autonomous systems is conducted at the Real Time Systems Laboratory in the following directions:
- development, rapid prototyping and testing of embedded software for autonomous systems,
- development of mobile and autonomous embedded real time systems for continuous measurement of greenhouse gas (GHG) emission and other parameters in environmental monitoring and precision farming,
- high-performance audio networking.
Leading researchers: Māris Alberts, Jānis Bičevskis, Artis Gaujēns, Jānis Kalniņš, Uģis Grīnbergs, Andris Dzērve.
Computer Security
Research in Cyber Security is mostly of applied nature and closely connected to the tasks of CERT.LV – Latvian national and governmental CSIRT team. Research directions:
- malware analysis,
- building and running large-scale distributed Intrusion Detection System (nation-wide sensor network),
- unstructured data analysis,
- mathematical modeling of cyber conflict,
- in-depth custom security evaluations of embedded, Industrial Control, and Supervisory Control and Data Acquisition systems, and
- computer security vulnerability assessments and technical technique and tool development.
Leading researchers: Rihards Balodis-Bolužs, Ināra Opmane, Pēteris Paikens, Baiba Kaškina, Kārlis Podiņš, Jānis Džeriņš, Bernhards Blumbergs.
High-Performance Computing Infrastructure
Leading researchers: Rihards Balodis-Bolužs, Ināra Opmane, Leo Trukšāns.