Lecturer Expertise Group

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The Expertise Group (KBK) serves as an integrative platform for lecturers with similar interests and competencies to develop scientific roadmaps, strengthen multidisciplinary research collaboration, and enhance the quality of research-based learning. KBK functions as a center of excellence aimed at producing innovation, reputable publications, and intellectual property to address the challenges of digital transformation across various sectors such as education, culture, and industry.

1. Expertise Group in Computing and Intelligent Systems

Head and Members:
Head: Dr. Drs. I Wayan Santiyasa, M.Si
Members: Dr. I Made Widiartha, S.Si., M.Kom.; I Gede Santi Astawa, ST., M.Cs.; I Wayan Supriana, S.Si., M.Cs.

Vision:
To become a leading and competitive expertise group in developing innovative and sustainable computing and intelligent systems for the advancement of science and global problem-solving.

Mission:
To develop collaborative research, implement research-based learning, encourage reputable publications and intellectual property, and strengthen multidisciplinary collaboration and community engagement.

Goals and Objectives:
To consolidate lecturers’ expertise, improve research quality, strengthen the integration of the tridharma, and produce globally competitive innovators in intelligent systems.

Roadmap (2026–2030):

• 2026–2027 (Phase 1): Foundation through internal strengthening, scientific consolidation, and beginner research grants.

• 2028–2029 (Phase 2): Development of AI research productivity, external partnerships, and international publications.

• 2030+ (Phase 3): Innovation downstreaming, establishment of a center of excellence, and patent acquisition.

  The complete profile of KBK Information Management is as in the following file KBK Komputasi dan Sistem Cerdas.pdf 

2. Expertise Group in Human-Computer Interaction (HCI)

Head and Members:
Head: Dr. Ir. I Ketut Gede Suhartana, S.Kom., M.Kom., IPM., ASEAN.Eng
Members: Ir. I Gede Arta Wibawa, S.T., M.Kom.; Ir. I Gusti Ngurah Anom Cahyadi Putra, S.T., M.Cs.; I Made Widhi Wirawan, S.Si., M.Cs.; Dr. Made Agung Raharja, S.Si., M.Cs.

Vision:
To become a leading expertise group in user-oriented, ergonomic, and innovative HCI applications that support human-centered digital transformation.

Mission:
To conduct research based on User-Centered Design (UCD), build industry collaboration, and apply HCI principles in community service to create inclusive digital solutions.

Goals and Objectives:
To produce innovative research based on user needs, ensure graduate competencies align with industry demands, and establish a sustainable research ecosystem.

Roadmap (2026–2030):

• 2026: Foundation and scientific structuring, initiation of basic UI/UX research.

• 2027: Strengthening applied UI/UX research in public information systems and usability testing implementation.

• 2028: Innovation in interactive technologies (IoT and intelligent systems) and development of digital products for the public sector.

• 2029: Enhancing reputation through industrial downstreaming and intellectual property development.

• 2030: Establishing the group as a national center of excellence and contributing to global design standards.

  The complete profile of KBK Information Management is as in the following file KBK Interaksi Manusia dan Komputer.pdf 

3. Expertise Group in Natural Language Processing (NLP)

Head and Members:
Head: Dr. Anak Agung Istri Ngurah Eka Karyawati, S.Si., M.Eng.
Members: Dr. I Putu Gede Hendra Suputra, S.Kom., M.Kom.; Ir. I Gusti Agung Gede Arya Kadyanan, S.Kom., M.Kom.; I Putu Satwika, S.Kom., M.Kom.; I Made Satria Bimantara, S.Kom., M.Kom.

Vision:
To become a scientific group that significantly contributes to the development of knowledge-based multimodal NLP that is explainable, adaptive, and internationally relevant.

Mission:
To develop multimodal NLP, integrate language with audio/visual/spatial modalities, build structured knowledge representation, and promote international collaboration.

Goals and Objectives:
To produce multimodal language resources, develop cross-cultural reasoning frameworks, and strengthen the group’s role as a hub for sustainable science and technology development.

Roadmap (2026–2030):

• 2026: Development of basic multimodal language resources (text–audio–lontar images) and linguistic annotation schemes.

• 2027: Multimodal NLP modeling considering sociolinguistic context and model optimization.

• 2028: Development of language-based Knowledge Graphs (KG) for rituals, narratives, and the wariga calendar.

• 2029: Development of explainable KG-based Question Answering (QA) systems with normative reasoning.

• 2030: Integration of multimodal cultural intelligence systems and zero-resource approaches for decision support.

  The complete profile of KBK Information Management is as in the following file KBK Natural Language Processing.pdf

4. Expertise Group in Machine Learning

Members (Permanent Lecturers):
Dr. Ir. Ngurah Agus Sanjaya ER, S.Kom., M.Kom.;
Dr. I Dewa Made Bayu Atmaja Darmawan, S.Kom., M.Cs.;
Ida Bagus Gede Dwidasmara, S.Kom., M.Cs.;
Luh Arida Ayu Rahning Putri, S.Kom., M.Cs.;
Gst. Ayu Vida Mastrika Giri, S.Kom., M.Cs.

Vision:
To become a leading expertise group in data-driven research supporting cultural preservation, inclusive education transformation, and strengthening government and industrial analytics.

Mission:
To develop ML research on multimedia and physiological signal data, establish reproducible research standards, and build partnerships with educational and industrial institutions.

Goals and Objectives:
To systematically consolidate research capacity to produce datasets, learning analytics prototypes, and cultural content management systems aligned with SDGs targets.

Roadmap (2026–2030):

• 2026: Consolidation of foundations, governance, and baseline research in culture, education, and business.

• 2027: Release of dataset version 1 and development of early prototypes for cultural search systems and learning analytics.

• 2028: Cross-modal integration (e.g., text with knowledge graphs) and limited field validation with partners.

• 2029: Dataset scaling and preparation of implementation packages/training modules.

• 2030: Establishment as a reference center for ML research and broad pilot implementation in culture/education.

  The complete profile of KBK Information Management is as in the following file KBK Machine Learning.pdf 

5. Expertise Group in Data Science

Head and Members:
Head: Dr. Dra. Luh Gede Astuti, M.Kom
Members: Ir. Ida Ayu Gde Suwiprabayanti Putra, S.Kom, M.T; Komang Arimogi, S.Kom, M.Kom; Ir. Agus Muliantara, S.Kom, M.Kom; I Komang Arya Ganda Wiguna, S.Kom, M.Cs

Vision:
To become a center of excellence in data science research that ensures data privacy, integrity, and security in accordance with global industry standards.

Mission:
To provide adaptive data science education aligned with AI, develop privacy-preserving AI research, and promote the downstreaming of secure data processing solutions for industry.

Goals and Objectives:
To produce competent digital talent, generate intellectual property (patents/copyrights), and enhance lecturers’ academic qualifications toward professorship.

Roadmap (2026–2030):

• 2026: Focus on descriptive data analysis and basic database security through internal grants.

• 2027: Development of predictive analytics (Machine Learning) and collaboration with local industry partners.

• 2028: Research on privacy preservation (e.g., data encryption and secure APIs).

• 2029: Focus on Big Data, distributed systems, and cloud security through national competitive grants.

• 2030: Implementation of Deep Learning and unstructured data processing, along with mid-scale industry research contracts.

  The complete profile of KBK Information Management is as in the following file KBK Data Science.pdf 

6. Expertise Group in Information Management

Head and Members:
Head: Cokorda Rai Adi Pramartha, S.T., M.M.S.I., Ph.D.
Members: Ida Bagus Made Mahendra, S.Kom., M.Kom.; Ir. I Gede Surya Rahayuda, S.Kom., M.Kom.; Ir. Putu Praba Santika, S.Kom., M.Kom.; Ir. Ida Bagus Gede Sarasvananda, S.Kom., M.Cs.

Vision:
To become a center of excellence in intelligent knowledge system management that emphasizes digital heritage preservation and adaptive integrated information governance by 2030.

Mission:

• Conduct research in information architecture and data interoperability for digital heritage preservation.

• Develop semantic-based knowledge representation methods.

• Study information governance, system auditing, and data ethics.

• Disseminate efficient and locally grounded information management innovations.

Goals and Objectives:
To produce innovative information management models, strengthen international scientific contributions, establish collaborative research roadmaps, and facilitate student research aligned with KBK focus areas.

Roadmap (2026–2030):

• 2026: Focus on information architecture and interoperability of cultural assets and public services.

• 2027: Semantic modeling and knowledge representation of cultural heritage.

• 2028: Implementation of intelligent computing (NLP and analytics) for manuscripts and SMEs.

• 2029: Focus on governance, ethics, and digital data security.

• 2030: Realization of an independent and sustainable knowledge ecosystem.

  The complete profile of KBK Information Management is as in the following file KBK Manajemen Informasi.pdf