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Lecturer Expertise Group
Expertise Groups of the Informatics Study Program
Expertise Groups, known as Kelompok Bidang Keahlian (KBK), serve as an integrative platform for lecturers with similar academic interests and competencies to develop scientific roadmaps, strengthen multidisciplinary research collaboration, and improve the quality of research-based learning.
KBK Computing and Intelligent Systems
Chair: Dr. Drs. I Wayan Santiyasa, M.Si
Focuses on the development of innovative, sustainable, and globally competitive computing and intelligent systems.
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- 2026–2027: Internal strengthening and consolidation of scientific expertise.
- 2028–2029: Development of AI research and international publications.
- 2030+: Downstreaming of innovation and development toward an excellence-oriented research group.
KBK Human-Computer Interaction
Chair: Dr. Ir. I Ketut Gede Suhartana, S.Kom., M.Kom., IPM., ASEAN.Eng
Focuses on user-oriented, ergonomic, and innovative Human-Computer Interaction to support humane digital transformation.
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- 2026: Foundation building and initiation of basic UI/UX research.
- 2027: Strengthening applied research and usability testing.
- 2028–2030: Innovation, downstreaming, intellectual property, and development toward a national center of excellence.
KBK Natural Language Processing
Chair: Dr. Anak Agung Istri Ngurah Eka Karyawati, S.Si., M.Eng.
Develops knowledge-based multimodal NLP that is explainable, adaptive, and internationally relevant.
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- 2026: Development of basic multimodal language resources.
- 2027–2028: NLP modeling and Knowledge Graph development.
- 2029–2030: Explainable QA and multimodal cultural intelligence.
KBK Machine Learning
Permanent Lecturer Members: Dr. Ir. Ngurah Agus Sanjaya ER, S.Kom., M.Kom. et al.
Focuses on data-driven research to support cultural preservation, inclusive education, governance, and industry.
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- 2026: Consolidation of research foundations and baselines.
- 2027–2028: Dataset development, prototypes, and limited field validation.
- 2029–2030: Dataset scaling and development as a reference group for ML research.
KBK Data Science
Chair: Dr. Dra. Luh Gede Astuti, M.Kom
Aims to become a leading research group in data science that ensures data privacy, integrity, and security in accordance with global industry standards.
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- 2026: Descriptive data analysis and basic database security.
- 2027–2028: Predictive analytics and privacy protection.
- 2029–2030: Big Data, cloud security, and Deep Learning.
KBK Information Management
Chair: Cokorda Rai Adi Pramartha, S.T., M.M.S.I., Ph.D.
Develops intelligent knowledge management systems, digital heritage, and adaptive integrated information governance.
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- 2026: Information architecture and data interoperability.
- 2027–2028: Knowledge representation and intelligent computing.
- 2029–2030: Governance, ethics, security, and knowledge ecosystem development.
FACULTY OF MATH AND SCIENCE