Call for papers

INCCST'27 invites original research, applied work, project outcomes and industry case studies.

INCCST'27 welcomes research papers, applied research, project outcomes and industry case studies in computational sciences and technologies. The theme of INCCST'27 focuses on emerging computational science and technologies that are shaping intelligent, secure and sustainable digital transformation. The conference welcomes significant theoretical and practical contributions in Artificial Intelligence, Machine Learning, Generative AI, Data Science, High-Performance and Distributed Computing, Cybersecurity, Internet of Things (IoT), Cloud and Edge Computing, Robotics, Intelligent Systems, and other emerging areas of Computer Science and Information Technology.

How to submit

There are two ways to contribute. Each one is submitted and tracked in the submission portal:

  • Full paper submission: upload your complete manuscript as a PDF for peer review.
  • Poster submission: present your work as a poster. See poster and exhibition.

Accepted papers are published in the conference proceedings. Selected papers may be invited to submit extended versions to the HEC-recognised journal VFAST and the Mehran University Research Journal of Engineering and Technology (MURJET). Journal charges are separate from conference fees.

Deadlines

The full paper deadline is 10 November 2026, with acceptance notices on 30 November 2026 and camera-ready papers due on 15 December 2026. All dates are on the important dates page.

Submit your work

Choose how you want to contribute. Every submission gets a reference number and a status you can follow.

  • Full paper submission

    Upload your manuscript as a PDF for peer review and follow it from received to decision.

    Open until 10 November 2026

    Opens soonDetails

  • Poster submission

    Present early-stage or applied work as a poster, or exhibit your organisation.

    Open until 10 November 2026

    Opens soonDetails

Topics for INCCST'27

  • Computational Science and Emerging Computing Technologies

  • Artificial Intelligence and Generative AI

  • Machine Learning and Deep Learning

  • Data Science, Big Data Analytics and Business Intelligence

  • Computer Systems, Architecture and High-Performance Computing

  • Cloud, Edge and Distributed Computing

  • Cybersecurity, Privacy and Digital Forensics

  • Internet of Things and Smart Systems

  • Robotics, Automation and Intelligent Control

  • Natural Language Processing and Large Language Models

  • Computer Vision, Image Processing and Pattern Recognition

  • Bioinformatics and Computational Biology

  • Blockchain and Distributed Ledger Technologies

  • Software Engineering and Information Systems

  • Quantum Computing and Emerging Computing Paradigms

  • Green Computing and Sustainable Information Technologies

  • Formal Methods, Verification and Reliability