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Deadline for Submissions: 01 July 2026
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Special Issue Editors |
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Guest Editor |
Prof. Praveen Kumar Donta |
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Affiliation |
Stockholm University, Sweden |
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Special Issue Information |
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Computing field has undergone remarkable change over the last several decades. We’ve come a long way from the era of massive, room-sized computers to today’s compact, intelligent systems embedded in everything from phones to factory machines. This shift hasn’t just been about shrinking hardware. It reflects a broader move from centralized architectures to distributed, networked systems that operate at the edge, in the cloud, and everywhere in between. For over 80 years, mathematics has been the silent engine behind nearly every advancement in computing. Mathematical thinking shaped the earliest logic gates, powered the development of numerical algorithms, and continues to underpin modern cryptography, optimization, and machine learning. The relationship between mathematics and computing is deep, dynamic, and far from finished. In fact, the demands of modern computing have made mathematics more relevant than ever. Today’s systems are expected to perform under tight latency constraints, adapt in real time, make intelligent decisions, and do so using limited resources. These expectations are driving the need for new mathematical models and tools that are not only precise but also scalable and efficient in diverse environments. In this regard, this special issue plan to explore the solutions for various research questions including, what kinds of mathematical approaches are needed for this next generation of computational challenges? We’re particularly interested in research that connects rigorous mathematics to practical problems in areas like distributed systems, edge computing, data-driven optimization, and secure communication. Submissions can focus on new theoretical developments or demonstrate how established methods are being reimagined for current technologies. Topics covered include, but are not limited to l Contemporary Mathematics for AI-Native Computer Systems l Optimization techniques for resource-constrained Computing systems l Performance Evaluation in Changing Computational demands l Real-time and adaptive algorithms for large-scale data processing l Stochastic, probabilistic, and fuzzy logic methods for system modeling l Energy-efficient algorithms and sustainable computing strategies l Factor graphs for large scale computational problems l Topological data analysis and shape-based learning techniques l Theoretical advances in machine learning with strong mathematical grounding l Simulation and modeling tools for analyzing complex distributed infrastructures l Mathematical foundations of edge–fog–cloud computing continuum l Real-time Computing Applications, Case studies, Use case analysis (Healthcare, l Industry 4.0/5.0, Satellite Communications, Agriculture, Education, etc.) The deadline for the submission of the papers for the special issues is 01 July 2026. |
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Published Papers |
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This special issue is now open for submission. |
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