International Conference on Advances in Mathematical Sciences and Computational Intelligence
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The International Conference on Advances in Mathematical Sciences and Computational Intelligence (ICAMSCI 2026) is the 1st Annual Conference of the Society for Mathematical and Computational Research (SMCR), jointly organized by SMCR and K.S. Saket P.G. College, Ayodhya, Uttar Pradesh, India. Scheduled for 4–6 December 2026, the conference will bring together researchers, academicians, industry professionals, and students from around the world to exchange innovative ideas and present cutting-edge research in Mathematical Sciences, Artificial Intelligence, Computational Intelligence, Data Science, Machine Learning, Scientific Computing, Optimization, and related interdisciplinary fields.
ICAMSCI 2026 will feature keynote lectures by distinguished experts, invited talks, technical paper presentations, special sessions, workshops, and networking opportunities designed to encourage international collaboration and scientific excellence. The conference aims to bridge theoretical mathematical research with practical computational applications, fostering innovation that addresses emerging challenges in science, engineering, technology, healthcare, finance, and industry.
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Please respect these dates to ensure successful publication in Springer LNCS proceedings.
Authors are invited to submit abstracts and manuscripts under the following integrated research disciplines.
This track focuses on the theoretical foundations and practical applications of mathematics that drive scientific and technological innovation. Topics include algebra, number theory, geometry, topology, real and complex analysis, functional analysis, ordinary and partial differential equations, dynamical systems, numerical analysis, approximation theory, fractional calculus, mathematical modelling, computational mathematics, optimization, and interdisciplinary applications of mathematics in science, engineering, economics, and industry. Contributions presenting novel mathematical theories, analytical techniques, numerical algorithms, and real-world applications are particularly encouraged.
This track explores intelligent computational methodologies inspired by mathematics, biology, and human cognition. It welcomes research on artificial intelligence, machine learning, deep learning, neural networks, fuzzy systems, evolutionary computation, swarm intelligence, reinforcement learning, explainable AI, computer vision, natural language processing, intelligent robotics, expert systems, cognitive computing, pattern recognition, and hybrid intelligent systems. Contributions addressing theoretical developments, innovative algorithms, and practical AI applications across diverse domains are invited.
This track provides a platform for research in statistical theory, probability, and modern data-driven methodologies. Topics include mathematical statistics, probability theory, stochastic processes, statistical inference, Bayesian statistics, multivariate analysis, high-dimensional data analysis, predictive analytics, data mining, big data analytics, topological data analysis, time-series analysis, statistical learning, business analytics, computational statistics, and data visualization. Papers demonstrating innovative statistical methodologies and real-world applications are highly encouraged.
This track covers mathematical optimization techniques and analytical methods for effective decision-making in engineering, management, healthcare, finance, logistics, and industrial systems. Areas of interest include linear and nonlinear programming, integer programming, stochastic optimization, metaheuristic algorithms, evolutionary optimization, multi-objective optimization, game theory, operations research, scheduling, transportation models, supply chain optimization, decision support systems, inventory management, and industrial engineering applications. Research integrating optimization with artificial intelligence and computational intelligence is particularly welcome.
This track focuses on mathematical foundations and computational approaches for secure communication, information protection, and next-generation computing technologies. Topics include classical and post-quantum cryptography, coding theory, information theory, blockchain technology, cyber security, network security, digital forensics, authentication protocols, privacy-preserving computation, cryptographic algorithms, quantum information science, quantum computing, quantum algorithms, secure distributed systems, and mathematical aspects of cybersecurity. Contributions addressing emerging security challenges and innovative cryptographic solutions are encouraged.
This interdisciplinary track highlights advanced computational techniques and mathematical models for solving complex scientific, engineering, biological, and healthcare problems. Topics include scientific computing, computational mathematics, numerical simulation, high-performance computing, parallel and distributed computing, computational physics, computational chemistry, finite element and finite difference methods, mathematical biology, systems biology, epidemiological modelling, computational neuroscience, cancer modelling, bioinformatics, biomedical signal processing, medical image analysis, healthcare analytics, and computational approaches for life sciences. Papers demonstrating innovative modelling, simulation, and data-driven solutions with real-world scientific or biomedical applications are especially encouraged.
Keynote
"Birkhoff–Kellogg type results in product spaces and their application to differential systems"
Keynote
"Some numerical scheme for solving nonlinear fractional wave-like differential equations"
Keynote
"Modelling of bandlimited signals in self-dual differential equations"
Keynote
"Bridging the Gap: Teaching Computational Logic through Advanced Mathematics"
Keynote
"Modern mathematical methods for exploring soliton solutions and various evolutionary profiles of the (3+ 1)-dimensional boussinesq equation"
Keynote
"Heterogeneous population and its resilience to misinformation in vaccination uptake: A dual ODE and network approach"
All registered papers will undergo double-blind peer review and will be recommended for inclusion in the following indexed proceeding lists.
Corporate sponsors and technology exhibitors supporting advanced science, math and computational research.
The conference will be held at K.S. Saket P.G. College, Ayodhya, Uttar Pradesh, India. The venue provides a suitable academic environment with seminar facilities, presentation support, seating arrangements, and campus spaces for technical sessions, invited talks, discussions, and participant interaction.
