CALL FOR PAPERS

Special Session on

Mathematical Foundations and Computational Advancements in Generative AI and Computer Vision

Under the International Conference on Mathematical Sciences and Computational Intelligence  (ICMSCI-2026)

February 20–22, 2026

The Department of Mathematics, P.G.D.A.V. College, University of Delhi, in collaboration with Faculty of Mathematical Sciences, University of Delhi, IIT Mandi and NIT Uttarakhand, cordially invites researchers, academicians, scientists, industry experts, and research scholars to submit their original and unpublished research papers for a Special Session on "Mathematical Foundations and Computational Advancements in Generative AI and Computer Vision" under the International Conference on Mathematical Sciences and Computational Intelligence (ICMSCI-2026).

This session focuses on the algorithms and computational logic driving the latest breakthroughs in Generative AI and Computer Vision. We aim to explore how mathematical structures—like probability, optimization, and linear algebra—enable machines to create and understand textual and visual data. The session welcomes research on image synthesis, diffusion models, and transformer architectures. Key topics include improving the efficiency of large-scale language and vision models, cross-modal learning and the development of robust algorithms for real-world textual and visual tasks. By bringing together

theoretical and applied computer science, this session offers a forum for innovations in AI-driven textual and visual intelligence.

This session directly supports the mission of ICMSCI-2026 by bridging the gap between mathematical theory and computer science. It aligns with the conference tracks on Artificial Intelligence and Computational Intelligence. Computer Vision is about how computers "see," while Generative AI is about how they "create." Our session explores the logic and math (like probability and geometry) that make these technologies work. By focusing on both the "how" (algorithms) and the "why" (mathematics), this session provides a perfect platform for researchers to discuss real-world applications like AI-generated text and images.

Topics of Interest

• Core algorithms behind generative AI models

• Efficient training and optimization of deep learning models

• Probabilistic methods and uncertainty handling in computer vision

• Feature and representation learning for images and videos

• Scalable and high-performance computing for generative AI

• Model robustness, generalization, and reliability in vision systems

• Explainable and interpretable generative AI models

• Real-world applications of generative AI and computer vision

Submission Guidelines

• Manuscript must follow the conference template. All submissions will undergo peer review.

• Maximum length: 9–16 pages including references.

• Accepted papers will be presented and included in the proceedings/special issue (details to follow).

Presentation Mode

Hybrid (Offline + Online). Selected papers will be presented through oral or poster sessions.

Important Dates

• Last date for abstract submission: January 15, 2026  , 👍Extended till: January 31, 2026

• Abstract acceptance notification: January 20, 2026, 👍 Extended till: February 05, 2026

• Last date of Registration: February 10, 2026

• Full-Paper Submission: March 10, 2026

Who Should Submit?

Faculty members, researchers, post-doctoral fellows, PhD scholars, postgraduate students, statisticians, engineers, data scientists, and industry professionals.

Submission Email : Authors must submit their abstracts/papers through the following link:

👉Click Here for Abstract Template

👉 Click Here For Abstract Submission

Kindly visit the registration page to register for the conference.

👉 Click Here to Visit Registration Page