I will create a sota matrix and 3 novelty ideas for computer science research

I
ipungpurwono
I
ipungpurwono
Ipung Purwono

About this gig

Are you a Masters student or PhD candidate struggling to identify a clear research gap and defensible novelty in Computer Science or Artificial Intelligence?

I will conduct evidence-based literature mapping and provide three potential novelty directions for your research.


You will receive:

  • An Excel State of the Art Matrix
  • Literature mapping from reputable international journals
  • Article titles, years, methods, datasets, metrics, findings, limitations, DOI, and source links
  • Screening of journal and source status at the delivery date
  • A PDF presentation covering the State of the Art, research gaps, and three novelty ideas
  • Optional recommendations for datasets, baseline methods, evaluation metrics, and target journal scope


This service is suitable for Masters theses, PhD research planning, dissertation topic refinement, and early-stage journal research.


The deliverables provide research guidance and evidence mapping. I do not write theses, dissertations, research proposals, or manuscripts on behalf of clients, and I do not guarantee publication or acceptance in Scopus Q1 journals.

Delivery style preference

Please inform the freelancer of any preferences or concerns regarding the use of AI tools in the completion and/or delivery of your order.

Get to know Ipung Purwono

Ipung Purwono

Informatics Lecturer and Researcher

  • FromIndonesia
  • Member sinceJun 2026
  • Languages

    English, Indonesian
I help researchers, lecturers, graduate students, and R&D teams turn computer science and AI ideas into reproducible analyses, validated models, and functional web or mobile prototypes. My expertise includes Python, machine learning, deep learning, computer vision, data visualization, APIs, dashboards, and rapid AI-assisted development. As an informatics lecturer and Scopus-indexed journal reviewer, I also support novelty mapping, gap analysis, quantitative research design, experiment planning, and journal-fit screening. All deliverables are ethical, documented, and reproducible.

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