The First International Conference on Data Analytics and Intelligent Systems (DAIS'2026)

14 to 15 April 2026, Abbes Laghrour University of Khenchela, Algeria

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About the Conference

The First International Conference on Data Analytics and Intelligent Systems (DAIS’2026) aims to bring together researchers, practitioners, and industry experts to explore cutting-edge advancements in data analytics, artificial intelligence, machine learning, and intelligent systems. The conference will foster interdisciplinary discussions and provide a platform for the exchange of ideas, methodologies, and applications in this rapidly evolving field. Participants will have the opportunity to showcase their research and connect with experts from academia and industry.

Publication Information

All presented and registered full papers will be included in the DAIS’2026 Conference Proceedings, which will be published as part of the Springer book series Communications in Computer and Information Science (CCIS). The CCIS series indexed in major global databases, including EI Compendex, Scopus, DBLP etc. for reviewing and indexing.

Conference Topics & Tracks - DAIS 2026

Conference Topics & Tracks

DAIS 2026 welcomes submissions across four comprehensive tracks exploring the frontiers of Data Analytics and Intelligent Systems

Foundations of Data Analytics and Intelligent Systems

Scope

Theoretical, methodological, and algorithmic foundations underlying data analytics, artificial intelligence, and intelligent decision systems.

Topics

Data Science theory and methodologies

Mathematical and statistical foundations of Data Analytics

Knowledge discovery and data mining principles

Artificial Intelligence fundamentals

Machine learning paradigms (supervised, unsupervised, reinforcement learning)

Deep learning architectures and optimization

Explainable AI and model interpretability

Data ethics, privacy, security, and governance

Responsible and trustworthy AI

Cognitive and intelligent systems design

Foundations of Large Language Models

Data Engineering and Infrastructure

Scope

Technologies, architectures, and infrastructures enabling large-scale data storage, integration, and processing.

Topics

Data Science Engineering

Big Data Management

Data Integration and Enrichment

Data Preparation and Quality

Data Mesh and Data Fabric

Storage and management of big datasets

Data Processing Infrastructures

Energy-efficient and sustainable computing

Data provenance and lineage

Data Acquisition and Gathering

Mobility and Big Data

Software techniques for data computation

Cloud, Edge, and Distributed Data Processing

Scalable architectures for intelligent systems

Big Data Analytics and Learning Systems

Scope

Advanced algorithms, models, and systems for large-scale data analytics, prediction, and intelligent decision-making.

Topics

Big Data Search and Mining

Algorithms and Systems for Big Data Search

Predictive Analytics and Forecasting

Machine Learning and Deep Learning for Big Data

Time Series Analysis and Forecasting

Anomaly Detection and Outlier Analysis

Dimension Reduction and Feature Engineering

Visualization Analytics for Big Data

Data-driven Decision Support Systems

Explainable and Interpretable Learning

Large Language Models for Big Data Analytics

Generative AI for Data Analytics

Causal Inference and Knowledge Graphs

Applications of Data Analytics and Intelligent Systems

Scope

Real-world use cases demonstrating the impact of DA and IS across diverse domains.

Topics

Data Science Applications in Engineering and Manufacturing

Medicine and Healthcare Analytics

Education and Learning Analytics

Transportation and Smart Mobility

Water and Environmental Management

Agriculture and Food Systems

Energy and Smart Grids

Cybersecurity and Threat Intelligence

Urban Analytics and Smart Cities

Business Intelligence and Small/Medium Enterprises (SMEs)

Digital Humanities and Social Data Analysis

Keynote Speakers

Francisco Herrera

Keynote Speaker

Francisco Herrera

Keynote Speaker

Francisco Herrera (SM’15) received his M.Sc. in Mathematics in 1988 and Ph.D. in Mathematics in 1991, both from the University of Granada, Spain. He is a Professor in the Department of Computer Science and Artificial Intelligence at the University of Granada and Director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI). He is an EurAI Fellow 2009 and IFSA Fellow 2013. He’s an academician at the Spanish Royal Academy of Engineering. He has been the supervisor of 60 Ph.D. students. He has published more than 600 journal papers, receiving more than 164000 citations (Scholar Google, H-index 189). He has been nominated as a Highly Cited Researcher (in the fields of Computer Science and Engineering, respectively, 2014 to present, Clarivate Analytics). He acts as editorial member of a dozen of journals. His current research interests include among others, computational intelligence, information fusion and decision making, trustworthy artificial intelligence and data science (including data preprocessing, prediction and big data). Committed to the importance of transmitting to society the results of the research, the formation of new generations of researchers, and the development of an ecosystem of digital innovation and artificial intelligence in Granada. Country: Spain Affiliation: Dept. Computer Sciences and Artificial Intelligence, Andalusian Research Institute on Data Science and Computational Intelligence Areas of Interest: Knowledge extraction based on evolutionary learning, Genetic fuzzy systems, Data Mining, Data preparation, Subgroup discovery, Computing With Words and Decision Making, Bibliometrics, Real Coding Genetic Algorithms, Memetic Algorithms.

Country: Spain

Affiliation: Dept. Computer Sciences and Artificial Intelligence, Andalusian Research Institute on Data Science and Computational Intelligence

Areas of Interest:
Knowledge extraction based on evolutionary learning, Genetic fuzzy systems, Data Mining, Data preparation, Subgroup discovery, Computing With Words and Decision Making, Bibliometrics, Real Coding Genetic Algorithms, Memetic Algorithms.

Elhadj Benkhelifa

Keynote Speaker

Elhadj Benkhelifa

Keynote Speaker

Elhadj Benkhelifa is passionate academic and researcher with almost 20 years of experience and demonstrable leadership skills at an international level. His research focuses on the development of solutions to support the next generation digital transformation’s technologies and paradigms.

Elhadj is currently a full Professor of Computer Science and Digital Innovations at Staffordshire University, where he is also the Head of Professoriate leading a large body of all Associate and Full Professors across the whole University with the mission to contribute, influence, shape and enable the collective advancement of the University’s strategies and develop excellence in T&L, research and enterprise. He is also a member of the University Research Ethics Committee. Elhadj is the Founding Director of the Smart Systems, AI and Cybersecurity Research Centre (SSAICS), responsible for growing the research portfolio in the Digital, Technologies and Art (DTA); leading 15 Staff and 23 PhD students the SSAICS research centre is established to be the hub for interdisciplinary research in ‘digital’ across the University. Between 2014 and 2016, he was the Director of the Mobile Fusion Applied Research Centre (MF-ARC), leading more than 18 Staff and 45 PhD students.

Prior to Joining Staffordshire University in 2010, he was lead researcher on an EPSRC project at Cranfield University, which was on biomimetic design optimisation of MEMS. Prior to that Elhadj was a lecturer at University of the West of Enlgland, UWE and University of Bristol. Under the supervision of Prof. Antony Pipe, Elhadj obtained his PhD from UWE, Bristol Robotics Lab, in Artificial-Life (Bio Inspired Evolvable and Self-Healing Systems). Between 2003 and 2004, he was a Software developer at ATE communications Ltd in Nottinghamshire, where he developed a Linux based DVR (digital video recorder)

Elhadj’s research interests cover Cloud computing in its centralised and decentralised forms (Fog/Edge computing, Cloudlet, Blockchain etc), Data (Governance, Semantics, analytics, Social Networks), Artificial Intelligence & Artificial Life (bio-inspired computing), Digital Transformation and Emerging Technologies, IoT and Cybersecurity. Elhadj has a led a number of successful consortia on a number of national and transnational projects. Interdisciplinary research is Elhadj’s current focus, applying innovative advanced computing and digital solution in areas of high impact. Elhadj supervised many PhD projects and published extensively in journals and conferences (150+). He has co-edited around 20 conference proceedings and journal special issues. Elhadj is a co-founder of some pioneering international conferences, including FMEC, SDS, IOTSMS and SNAMS, and has delivered close to 40 keynote talks around the world.

Elhadj is a reviewer of national (EPSRC) and international grant proposals. He is often invited by international institutions as an external assessor for promotions to Associate and Full Professor Ranks. Elhadj has been an external examiner of a number of PhD Vivas in the UK and outside and is currently an external examiner for computer science courses for both Under & Post Graduate levels and had acted as an external moderators of new courses from international institutions. Elhadj is a Visiting Professor to the Universities of Suffolk, UK; Lyon3, France; and Paris 8, France.

Since early days, Elhadj has been a strong advocate for open access to research, that in 2005 he co-founded IBScientific Publishing group, to enable scientists mainly from low-income countries to publish their research through open access and peer-review process.

Elhadj is a Director at Yotta Laboratories Ltd, and a co-founder of www.emergingtechnetwork.org. He is also a member of the Board of Advisors for the West Midland Cyber Resilience Centre, and member of the Staffordshire Police Evidence Based Practice Board. In April 2022, He was elected/appointed as the Chair of the IEEE UK&I Section’s Education & STEM office. Elhadj is a Senior Member of IEEE, A Member of ACM, Fellow of UK HEA and a Prince2 Practitioner

Salem BENFERHAT

Keynote Speaker

Amir H Gandomi

Keynote Speaker

Amir H Gandomi

Keynote Speaker

Amir H. Gandomi is among the world’s most cited researchers for his work in the fields of global optimisation and big data analytics, in particular, using machine learning and evolutionary computations.

He is an ARC DECRA Fellow at the Faculty of Engineering and Information Technology at UTS, where he is a Professor of Data Science. He has received multiple prestigious awards for his research excellence and impact, such as the 2024 IEEE TCSC Award for Excellence in Scalable Computing (MCR), the 2023 Achenbach Medal (bestowed at Stanford University), and the 2022 Walter L. Huber Prize, the highest-level mid-career research award in all areas of civil engineering.

Amir has published more than 450 journal papers and 14 books, which collectively have 60,000 citations (H-inex=100+), and he has been named one of the world’s most influential scientific minds and highly cited researchers by the influential Clarivate Analytics for six consecutive years.

He is also ranked 18th among more than 17,000 researchers in the online computer science bibliography, Genetic Programming bibliography, and ranks first in Australia. In the recent most impactful researcher list, done by Stanford University and released by Elsevier, Prof Amir H Gandomi is ranked as the 24th researcher in the Artificial Intelligence & Image Processing subfield in 2023.

He has served as associate editor, editor and guest editor in several prestigious journals, such as AE of IEEE TBD, IEEE Networks, and IEEE IoTJ. He regularly delivers keynote addresses at major conferences.

Prior to joining UTS, Amir was an Assistant Professor at the School of Business at Stevens Institute of Technology in the US. He was also a distinguished research fellow in the BEACON Center at Michigan State University, where biologists, computer scientists, and engineers together study evolution and apply their knowledge to real-world problems.