About
About MCT4SD 2026
This conference will provide the participants with opportunities to discuss and explore areas related to cloud computing, artificial intelligence (AI), machine learning, Internet of Things (IoT), blockchain, and big data analytics. Conference may concern any topic within the conference scope. The conference is devoted to increasing the understanding role of technology issues, how transformative technologies have day-by-day evolved to prepare human friendly technology.
This conference will provide a platform for bringing forth significant research and literature across the Digital Business Transformation and provide an overview of the technologies awaiting unveiling. This interaction will be the focal point for leading experts to share their insights, provide guidance, and address participants’ questions and concerns.
The conference will be organized in hybrid mode. The physical conference will take place on 3 December 2026 in Cape Town, South Africa, and digital sessions will be conducted on 4–5 December 2026, enabling wider global participation.
Key Milestones
Important Dates
| Milestone | Date |
|---|---|
| Paper Submission Opens | May 11, 2026 |
| Paper Submission Deadline | August 15, 2026 |
| Acceptance Notification | September 10, 2026 |
| Registration Deadline | October 10, 2026 |
| Camera Ready Submission | October 15, 2026 |
| Conference Dates | December 3-5, 2026 |
Guidelines
Submission Guidelines
Prospective authors are invited to submit paper(s) with 10 pages standard size and extension in pages possible written in A4 size (Springer format).
Authors are required to also adhere to the Springer Policy and Procedures on Plagiarism:
Research Areas
9 Conference Tracks
TRACK 01
Data Science and Systems
- Information Retrieval, Systems and applicationsAdvanced search algorithms, ranking, and retrieval system applications.
- Accountability, consequences and costs of automated decisionsEthical considerations, algorithmic bias, and societal impact of automation.
- Personal data usage in political campaigns and election forecastingData privacy, targeting strategies, and predictive modeling in politics.
- Morally based decision-making under uncertaintyEthical frameworks and AI decision-making under uncertain conditions.
- Automation and economic consequences, big dataLabor market impact, economic models, and large-scale data analysis.
- Artificial intelligence, Semantic Web Technologies for Data ManagementKnowledge graphs, ontologies, and AI-powered data management.
- Data Fusion, Pattern Recognition, Predictive ModellingIntegrating multi-source data, pattern discovery, and predictive forecasting.
- Support Vector Machines, Deep LearningAdvanced classification, regression, and neural network architectures.
- Evolutionary Computing and Optimization, Feature SelectionGenetic algorithms, swarm intelligence, and feature engineering methods.
- Fuzzy Computing, Hybrid Methods, Neural Network ApplicationsUncertainty handling, hybrid AI systems, and neural network applications.
- Industry 4.0, Linked Data, Management of Sensor DataSmart manufacturing, semantic linked data, and IoT sensor integration.
TRACK 02
Engineering Systems for Business Applications
- Collaboration Technologies and SystemsTools and platforms for effective team collaboration and knowledge sharing.
- Embedded Systems, Natural Language ProcessingLow-level embedded system design and intelligent language processing.
- Environmental Computing, Agricultural Engineering for ICT ApplicationsICT solutions for sustainable agriculture and environmental challenges.
- ICT Applications for Electrical and Intelligent EngineeringTechnology applications in electrical and intelligent engineering systems.
- Digital Design and Manufacturing TechnologyComputer-aided design, digital manufacturing, and fabrication technology.
- Numerical & Symbolic ComputationMathematical computation methods and symbolic reasoning systems.
- Mechanical Drawing & Computer GraphicsTechnical drawing tools and advanced computer graphics rendering.
- Gender Issues, Geo Information, GIS, Green Computing, MultimediaGIS applications, green computing, and inclusive technology design.
- Civil and Architectural EngineeringICT-driven innovations in civil and architectural engineering.
- ICT Trends for Engineering Structure, Architectural EconomicsTechnology trends shaping engineering structures and economic systems.
- Human Computer InteractionDesigning intuitive interfaces for seamless human-computer interaction.
- Robotics, Information Technology for People with Special NeedsAutonomous robotics systems and assistive technology for special needs.
- Nano Technology Software Tools, ICT Applications for Fluid DynamicsNanoscale technology tools and computational fluid dynamics applications.
TRACK 03
Intelligent Computing
- Artificial IntelligenceIntelligent systems that simulate human reasoning and problem-solving.
- Pattern recognitionIdentifying structures, shapes, and regularities in complex datasets.
- Machine LearningAlgorithms that learn from data to make predictions and decisions.
- Cognitive ComputingSystems that mimic human cognitive processes and reasoning capabilities.
- Machine Learning Science, Sequential and Incremental Learning, Kernel LearningAdvanced learning paradigms including sequential and kernel-based methods.
- Deep LearningMulti-layer neural networks for complex pattern recognition and generation.
- Soft ComputingComputing with imprecise and uncertain information using fuzzy methods.
- Evolutionary ComputingPopulation-based optimization algorithms inspired by natural evolution.
- Meta-heuristicsHigh-level strategies guiding search and optimization algorithms.
- Semantic ComputingUnderstanding and processing meaning in digital information and data.
- Expert systemsKnowledge-based systems that emulate domain expert decision-making.
- Information retrievalTechniques for finding relevant information in large document collections.
- Big Data processing and applicationsScalable frameworks for processing and analyzing massive data volumes.
- Data miningExtracting useful knowledge and patterns from large-scale datasets.
- Natural Language ProcessingComputational methods for understanding and generating human language.
- Computer visionAlgorithms enabling machines to interpret and analyze visual information.
- Image processingDigital techniques for enhancing, analyzing, and transforming images.
- Audio and speech processingMachine learning methods for voice, sound, and speech interpretation.
- Computational science applicationsApplying computational methods to solve complex scientific problems.
- Scientific computing applicationsHigh-performance computing for scientific research and simulation.
- E-commerce applications, Web servicesAI-powered systems for online commerce and web-based services.
- Biomedical applicationsIntelligent systems for diagnostics, treatment, and medical research.
- Emerging applications in Healthcare and EngineeringNovel AI applications addressing emerging healthcare and engineering needs.
TRACK 04
Network and Social Computing
- Computer networksProtocols, architectures, and performance of interconnected computer systems.
- Ad hoc, Sensor, Vehicular networksWireless network types including sensor, vehicular, and ad-hoc networks.
- Smart citiesIntelligent technology integration for urban management and services.
- AI in IOTMachine learning and AI applications in IoT device ecosystems.
- 5G CommunicationNext-generation wireless communication for ultra-fast connectivity.
- Next generation Internet Software Defined NetworksSoftware-defined and future internet architectures and technologies.
- Performance evaluation of networks and distributed systemsMeasuring and optimizing the efficiency of networked distributed systems.
- Social Network behavior Modelling and AnalysisAnalyzing patterns of interaction and behavior in online social platforms.
- Computational models of social simulationSimulating human social dynamics using computational frameworks.
- Information diffusion modelsModeling how information, rumors, and trends spread through networks.
- Emotional intelligence, opinion representation, influence processAnalyzing emotions, opinions, and influence in digital social environments.
- Social Media Data MiningMining insights and trends from social media platforms and user data.
- Smart phones and SecuritySecurity frameworks and privacy solutions for mobile device ecosystems.
TRACK 05
Data and Cloud Computing
- CloudScalable on-demand computing resources and cloud service delivery models.
- Fog ComputingDistributed computing infrastructure positioned at the edge of the network.
- Block chain SystemsDecentralized, tamper-proof distributed ledger systems and applications.
- Edge computingLow-latency computing at the network edge for real-time processing.
- Cluster, Grid Distributed and P2P ComputingDistributed computing paradigms including cluster, grid, and P2P systems.
- Scheduling and load balancingResource allocation and workload balancing in distributed environments.
- Embedded Systems and RoboticsIntelligent robotic systems integrated with embedded computing platforms.
- Embedded Systems and VLSIHardware-level design for embedded systems and integrated circuits.
- Multi-FPGA reconfigurable systems and architecturesReconfigurable computing systems using multi-FPGA architectures.
- Parallel and Multi-core ComputingComputing using multiple processor cores for improved performance.
- Smart phones and SecuritySecurity frameworks and privacy solutions for mobile device ecosystems.
- Enterprise, data Centre, and storage area networksHigh-performance storage and networking for enterprise data centers.
- Virtualization and fields related to data scienceAbstracting hardware resources through software virtualization techniques.
- Data analyticsExtracting insights and value from large-scale structured and unstructured data.
- Big data technologiesPlatforms and tools for processing, storing, and managing big data.
- Big Data ManagementStrategies for organizing, integrating, and governing large data assets.
- Mobile CommerceMobile payment systems and digital commerce on portable devices.
- Real-time big data servicesStreaming platforms for instantaneous processing of continuous data feeds.
TRACK 06
Computer Algorithms and Applications
- Novel Algorithm Analysis Designs, and ImplementationCreating efficient, correct, and innovative computational algorithm designs.
- Parallel, Distributed Algorithms Combinatorial AlgorithmsAlgorithms designed for parallel execution across distributed processors.
- Graph AlgorithmsComputational methods for solving graph-related problems efficiently.
- Scheduling and Load Balancing AlgorithmsAlgorithms for optimal task assignment and system load distribution.
- Randomized ApproximationProbabilistic algorithms providing near-optimal solutions efficiently.
- Parameterized AlgorithmsAlgorithms with fixed parameters for solving hard computational problems.
- Optimization AlgorithmsMathematical methods for finding optimal or near-optimal solutions.
- Bio-Inspired AlgorithmsAlgorithms inspired by biological evolution and natural processes.
- Complexity TheoryStudying computational hardness and problem complexity classification.
- Fault-tolerant AlgorithmsAlgorithms that continue operating correctly despite system failures.
- Bioinformatics AlgorithmsComputational methods for analyzing biological sequence and structure data.
- Computational BiologyComputational approaches to modeling and analyzing living systems.
- Quantum ComputingHarnessing quantum mechanical phenomena for exponential computation speedup.
- Algorithmic Game TheoryStrategic interactions and equilibrium analysis using computational methods.
- Computational FinanceMathematical and computational methods for financial modeling and analysis.
- Computational GeometryAlgorithms for solving geometric problems in two and three dimensions.
- On-line and Streaming AlgorithmsAlgorithms processing continuous data streams in real-time with limited memory.
TRACK 07
Digital Transformation and Applications
- Role of AI Technologies in Organizational and Societal TransformationLeveraging AI to drive organizational change and societal transformation.
- Digital Business StrategyFormulating strategies for competing and growing in digital markets.
- Digitally Engendered Network EffectsCreating platform effects and value through digital network connectivity.
- Leadership in Digital Social NetworksNavigating leadership challenges in digitally connected social environments.
- Digitization and Transformation of WorkReimagining work processes, roles, and structures through digitization.
- Digital Processes, Products, Platforms, and ServicesDesigning digital products, services, and platform-based business models.
- Digital Value Chain InnovationsInnovating value chains through digital integration and optimization.
- Digital Architectures and Governance ModelsBuilding governance frameworks for managing digital architectures effectively.
- Business AnalyticsUsing data and statistical methods to drive business decisions and strategy.
- Effects of Digitization on Jobs, Incomes, and WagesExamining how technology affects employment, income distribution, and wages.
TRACK 08
Internet of Things and Applications
- Scalable IoT architectures and systemsDesigning highly scalable IoT systems to support millions of connected devices.
- Edge AI, intelligent edge, and computing continuum applicationsDeploying AI at the network edge for intelligent real-time decision-making.
- Novel IoT communication technologies and protocolsDeveloping new communication protocols and wireless technologies for IoT.
- Sustainability in IoTBuilding energy-efficient and environmentally sustainable IoT deployments.
- Small and large-scale pilots of IoT sensing, signal processing, actuation, and analyticsIoT-based sensing, signal acquisition, processing, and actuation systems.
- Safety, security, and privacy, including predictive maintenance, risk analysisSecurity, privacy, and predictive safety for IoT and cyber-physical systems.
- Quality of service in IoT and cyber-physical systemsEnsuring reliable and consistent service delivery in IoT environments.
- Digital twins, databases, and data maintenance for IoTVirtual replicas of physical systems for simulation and data management.
- Human-computer interaction and interfaces with wearable IoT systemsIntuitive interfaces enabling natural interaction with wearable IoT devices.
- IoT-enhanced augmented/virtual/mixed reality (AR/VR/MR)Immersive AR, VR, and mixed reality experiences powered by IoT technology.
- Cyber-physical systemsIntegrating computational and physical components in connected systems.
- Large-scale IoT analytics, real-world IoT deployments, testbeds, and datasetsLarge-scale deployment, analytics, and real-world IoT use-case validation.
- Transient large-scale networks, including vehicular and other mobile networksManaging large mobile networks including vehicular and transient networks.
- Paradigms and technologies for service provisioning via IoTFrameworks for delivering scalable services through IoT infrastructure.
TRACK 09
Machine Intelligence
- Foundations of Machine IntelligenceCore principles, theory, and mathematical foundations of machine intelligence.
- Supervised, Unsupervised & Reinforcement LearningFundamental learning paradigms from labeled, unlabeled, and reward signals.
- Deep Learning Architectures (CNN, RNN, LSTM, Transformers)Modern neural architectures including CNNs, RNNs, LSTMs, and Transformers.
- Evolutionary and Swarm IntelligenceOptimization algorithms inspired by biological evolution and collective behavior.
- Transfer Learning and Meta-LearningAdapting pre-trained models to new domains with minimal labeled data.
- Hybrid Intelligent SystemsCombining multiple AI paradigms to create more robust intelligent systems.
- Self-supervised and Few-shot LearningLearning from limited labeled examples and unlabeled data representations.
- Neural Architecture SearchAutomated methods for discovering optimal neural network architectures.
- Online, Federated, and Distributed LearningDistributed, privacy-preserving, and continual machine learning approaches.
- Probabilistic and Bayesian LearningStatistical learning methods incorporating prior knowledge and uncertainty.
- Fuzzy Logic and Neuro-Fuzzy SystemsHandling imprecision and approximate reasoning in intelligent systems.
- Adaptive and Self-learning SystemsSystems that continuously adapt and improve based on environmental feedback.
- Scalable Algorithms for Large-scale DataEfficient algorithms and frameworks for training on massive datasets.
- Explainable and Interpretable Machine LearningMethods for understanding and communicating AI model decisions and reasoning.
- Adversarial Learning and RobustnessBuilding models resistant to malicious attacks and distribution shifts.
- Benchmarking and Evaluation MetricsStandardized evaluation frameworks for comparing AI system performance.
- Intelligent Transportation Systems (ITS)AI systems for optimizing transportation flow, safety, and efficiency.
- AI for Environmental MonitoringMachine learning applications for climate monitoring and ecological analysis.
Publication & Indexing
Publication & Indexing 2026
To be updated soon.
Indexing
Indexed by SCOPUS, EI Compendex, INSPEC, WTI Frankfurt eG, zbMATH, SCImago. All books published in the series are submitted for consideration in the Web of Science.
Special Session
Special Session Proposals
Proposal Requirements
- ● Title of the special session
- ● Organizer name(s) and contact email
- ● Organizer biographies
- ● Brief description of the scope
- ● List of related topics
- ● Expected number of participants
- ● Draft Call for Papers
- ● Publicity/dissemination plan
- ● Report on previous editions (if applicable)
Submit Your Proposal
Send your Special Session proposal to our team
support@mct4sdconf.comAll Special Session papers will be peer-reviewed and evaluated using the same criteria as regular submissions.
Resources