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ICAMSCI 2026

Mathematical Sciences & Computational Intelligence

Approved Special Sessions

The following special sessions have been approved for ICAMSCI 2026. Each session will feature invited talks and accepted papers on the specified topics.

SS-01
AI-Driven Mathematical Modeling in Healthcare
Chair: Dr. Sarah Mitchell  |  Co-Chair: Dr. Rakesh Verma
University of Cambridge, UK

This session explores the intersection of mathematical modeling and artificial intelligence in addressing challenges in healthcare, including disease prediction, drug discovery, and medical imaging.

Medical Image Analysis Epidemiological Modeling Drug Discovery Optimization Clinical Decision Support Systems
SS-02
Algebraic Structures in Modern Cryptography
Chair: Prof. Klaus Schmidt  |  Co-Chair: Dr. Anita Deshmukh
TU Munich, Germany

Explores advanced algebraic structures—lattices, elliptic curves, and multivariate polynomial systems—as foundations for next-generation cryptographic protocols resistant to quantum attacks.

Lattice-Based Cryptography Elliptic Curve Cryptography Homomorphic Encryption Zero-Knowledge Proofs
SS-03
Graph Neural Networks and Topological Methods
Chair: Dr. Wei Zhang  |  Co-Chair: Dr. Pooja Mehta
Tsinghua University, China

This session bridges graph theory, topology, and deep learning, focusing on novel architectures that leverage structural and topological properties for complex network analysis.

Graph Convolutional Networks Persistent Homology Spectral Methods Network Embedding
SS-04
Mathematical Optimization for Sustainable Systems
Chair: Prof. Elena Petrova
Moscow State University, Russia

Addresses optimization techniques applied to sustainable energy systems, supply chain management, and environmental modeling using mathematical programming and metaheuristics.

Multi-Objective Optimization Green Energy Scheduling Supply Chain Optimization Carbon Footprint Modeling