

# Event Details

- **Event Name**: 7th International Conference on Data Science and Machine Learning (DSML 2026)
- **Event Start and End Date**: Sat, 22 Aug, 2026 at 09:00 pm – Sun, 23 Aug, 2026 at 05:00 pm
- **Event Description**: 7th International Conference on Data Science and Machine Learning (DSML 2026) August 22 ~ 23, 2026, Dubai, UAE https://bibc2026.org/dsml/index Hybrid -- Registered authors can present their workScope & Topics 7th International Conference on Data Science and Machine Learning (DSML 2026) ) serves as a premier global forum for presenting innovative ideas, cutting edge research, practical developments and emerging trends in the rapidly evolving fields of Data Science and Machine Learning. As data driven technologies continue to transform science, industry and society, DSML 2026 brings together leading researchers, practitioners and industry experts to exchange knowledge, discuss challenges and explore breakthroughs shaping the future of intelligent systems. The conference aims to foster collaboration between academia and industry by providing a platform to share novel methodologies, theoretical advancements, applied research and real world deployments across the full spectrum of data science and machine learning. DSML 2026 encourages contributions that push the boundaries of what is possible—from foundational algorithms and scalable systems to generative AI, autonomous agents and domain specific applications that address pressing global challenges.  Authors are invited to submit high quality articles describing original research results, innovative projects, comprehensive surveys and industrial case studies that demonstrate significant advances in the field. Submissions may address any of the conference tracks, including but not limited to: Topics of interest include, but are not limited to, the following: Machine Learning Foundations & Theory Learning theory, generalization, optimizationProbabilistic modeling & Bayesian methodsSelf supervised, semi supervised & weak supervisionMeta learning, few shot learningContinual & lifelong learningFederated & distributed learningTrustworthy ML (robustness, fairness, explainability)Data centric AI & dataset optimization Deep Learning, Architectures & Efficient ML Transformers & attention mechanismsGraph neural networks & graph transformersEfficient ML (quantization, pruning, distillation)Neural architecture search (NAS)Physics informed neural networks (PINNs)Multimodal deep learningLong context models & efficient attention Foundation Models, Generative AI & Alignment Large language models (LLMs)Multimodal foundation modelsDiffusion models & generative modelingRetrieval augmented generation (RAG)Synthetic data generation & governanceAI safety, alignment, red teamingScalable oversight & constitutional AI Agentic AI, Autonomous Systems & Planning Autonomous LLM agentsMulti agent LLM systemsTool using agents & API calling modelsPlanning + LLM hybrid systemsAgent evaluation, safety & emergent behaviors Data Mining, Knowledge Discovery & Causal Inference Large scale & high dimensional data miningGraph, network & social network miningTemporal, spatial & spatio temporal miningStreaming & real time analyticsText, web, multimedia & video miningCausal discovery & causal inferenceKnowledge graphs & reasoningAutomated data cleaning & feature engineeringInteractive data exploration & visualization Data Engineering, Databases & Scalable Systems Cloud native data architectures (lakes, lakehouses)Modern database systems & query optimizationScalable data management & storageStream processing & real time systemsDistributed computing (Spark, Flink, Ray)Data integration, governance & lineageData security, privacy & compliance MLOps, Evaluation, Reproducibility & ML Systems ML lifecycle management & deploymentExperiment tracking & model versioningBenchmarking & evaluationReproducible ML pipelinesResponsible dataset creationML compilers & hardware acceleration Reinforcement Learning, Decision Making & Control RL theory & algorithmsOffline & batch RLMulti agent RLRLHF (reinforcement learning from human feedback)RL for robotics, control & autonomous systems AI for Code, Embodied AI & Intelligent Agents Code LLMs & program synthesisAutomated debugging & program repairFormal verification + LLMsEmbodied LLMsVision language action (VLA) modelsRobotic manipulation with foundation modelsSimulation to real transfer AI Applications, Scientific Discovery & Societal Impact Bioinformatics, genomics & computational biologyHealthcare AI & medical imagingFinance, risk modeling & algorithmic tradingClimate science, sustainability & environmental modelingSmart cities, IoT & edge intelligenceCybersecurity & threat intelligenceSocial computing & behavioral modelingGeospatial AI & remote sensingAI for scientific discovery (physics, chemistry, materials, mathematics)Digital twins & AI driven simulationHuman AI interaction & co creative AISocietal, cultural & economic impacts of AI  Paper Submission Authors are invited to submit papers through the conference Submission System by August 15, 2026 (Final Call). Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).   Selected papers from DSML 2026, after further revisions, will be published in the special issues of the following journals ·        Machine Learning and Applications: An International Journal (MLAIJ)·        International Journal of Data Mining & Knowledge Management Process ( IJDKP )·        International Journal of Database Management System (IJDMS)·        International Journal of Web & Semantic Technology (IJWesT) Important Dates·        Submission Deadline : August 15, 2026 (Final Call)·        Authors Notification : August 19, 2026·        Registration & Camera-Ready Paper Due : August 20, 2026Contact Us Here's where you can reach us : dsml@bibc2026.org or dsmlconfen@gmail.com
- **Event URL**: https://allevents.in/dubai/7th-international-conference-on-data-science-and-machine-learning-dsml-2026/80003895671063
- **Event Categories**: workshops, business, conferences, science-fair, art, literary-art, it, artificial-intelligence
- **Interested Audience**: 
  - total_interested_count: 0

## Ticket Details


## Event venue details

- **city**: Dubai
- **state**: DU
- **country**: United Arab Emirates
- **location**: Dubai
- **lat**: 25.2048493
- **long**: 55.2707828
- **full address**: Dubai, United Arab Emirates

## Event gallery

- **Alt text**: 7th International Conference on Data Science and Machine Learning (DSML 2026)
  - **Image URL**: https://cdn2.allevents.in/thumbs/thumb69bd6ac3b3215.jpg

## FAQs

- **Q**: When and where is 7th International Conference on Data Science and Machine Learning (DSML 2026) being held?
  - **A:** 7th International Conference on Data Science and Machine Learning (DSML 2026) takes place on Sat, 22 Aug, 2026 at 09:00 pm to Sun, 23 Aug, 2026 at 05:00 pm at Dubai, United Arab Emirates.
- **Q**: Who is organizing 7th International Conference on Data Science and Machine Learning (DSML 2026)?
  - **A:** 7th International Conference on Data Science and Machine Learning (DSML 2026) is organized by grid.

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