The 11th IEEE International Conference on Big Data Computing Service and Machine Learning Applications

July 21-24, 2025 | Tucson, Arizona

As computing systems become increasingly larger, more complex, distributed, and integrated, Big Data technologies and services are ever more vital. The 10th IEEE International Conference on Big Data Computing Service and Machine Learning Applications ( IEEE BigDataService 2025) provides an internationally leading forum for researchers and practitioners in academia and industry to exchange innovative ideas and share the latest results, experiences, and lessons learned in this crucial domain.

The conference will be held in person and will take place in Tucson, Arizona on the 21-24 July 2025. It will consist of a main track with several topics of interest; it seeks the submission of high-quality papers in the IEEE format: full papers (up to 8 pages), short/demo papers (up to 5 pages), and posters (2 pages). The conference also welcomes workshop proposals. All accepted papers will be included in the proceedings. Selected papers will be invited to submit extended versions in a special issue of a peer-reviewed (SCI-Indexed) journal.

Call for papers

About

As computing systems grow in scale, complexity, and integration, Big Data technologies and services have become more critical than ever. IEEE BigDataService 2025 serves as a premier international forum for researchers and practitioners from academia and industry to exchange cutting-edge ideas, share innovative research, and discuss real-world applications and challenges in the field.

The conference will be held in person in Tucson, Arizona, United States from July 21-24, 2025, as part of the CISOSE 2025 congress.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

  • Regular/Full papers (up to 8 pages, IEEE double-column format)
  • Short papers (up to 5 pages, IEEE double-column format)
  • Posters (2 pages, IEEE double-column format)

List of Topics (including but not limited to):

Big Data Analytics and Machine Learning

  • Algorithms and systems for big data analytics
  • Big data Machine learning, predictive and causal analytics
  • Visualization and visual analytics systems for big data
  • Knowledge modeling, extraction, discovery, analysis, and presentation
  • Big data Business intelligence
  • Optimization and agentic models for big data
  • Artificial intelligence models at scale
  • Large language models
  • Neuro-symbolic approaches at large scale

Integrated and Distributed Systems

  • Sensor networks
  • Internet of Things, web of things
  • Networking and protocols
  • Smart Systems (such as energy efficiency systems, smart homes, smart farms, etc.)

Big Data Platforms and Technologies

  • Innovative, concurrent, and scalable big data platforms
  • Data indexing, cleaning, transformation, and curation technologies
  • Big data processing frameworks and technologies
  • Big data services and application development methods and tools
  • Big data quality evaluation and assurance technologies
  • Big data system reliability, dependability, and availability
  • Open-source development and technology for big data
  • Big Data as a Service (BDaaS) platform and technologies

Big Data Foundations

  • Foundational theoretical or computational models for big data
  • Programming models, theories, and algorithms for big data
  • Standards, protocols, and quality assurance for big data

Big Data Applications and Experiences

  • Innovative big data applications and services in industries and domains e.g. healthcare, finance, insurance, transportation, agriculture, education, environment, multimedia, social networks, urban planning, disaster management, security
  • Experiences and case studies of big data applications and services
  • Real-world and large-scale practices of big data

Committees

General Chairs

  • Iraklis Varlamis, Harokopio University of Athens, Greece
  • Muhammad Younas, Oxford Brookes University, U.K.
  • Fanjing Meng, Lenovo, China

Program Chairs

  • William Andreopoulos, San Jose State University, USA
  • Paolo Nesi, University of Florence, Italy
  • Xiao Tian Xu, Beijing Urban Construction Intelligent Control, China

Publication

BigDataService 2025 proceedings will be published as IEEE proceedings.

Venue

The conference will be held in Tucson, Arizona.

Contact

All questions about submissions should be emailed to varlamis@hua.gr

To register for IEEE BigDataService 2025, please visit: https://cvent.me/D1mOer


Hosted by Systems and Industrial Engineering at the University of Arizona, Tucson.
The venue will take place at the University of Arizona Library.


Location

1510 E University Blvd, 85721 Tucson, Arizona, United States




Venue

University of Arizona

1510 E University Blvd

Tucson, Arizona, 85721

United States

Visa Information

To attend this conference, you must have a valid passport and accompanying documents (e.g., visa) to travel to the USA.

Participants are requested to familiarize themselves with their own applicable visa requirements well in advance of the conference. Present worldwide security regulations generally result in more stringent visa requirements and associated longer visa processing time. The conference organizers cannot intervene with embassies or consulates on behalf of any participant.

In order to obtain a letter of invitation for visa purposes, please contact the organizing chair. Letters will only be provided to authors of accepted papers and participants who already paid for conference registration.

Important Notes:

  • The conference organizers cannot assist with embassy or consulate procedures.
  • If you require an invitation letter for visa purposes, please contact the organizing chair.
  • Invitation letters will only be issued to authors of accepted papers and registered participants who have completed their conference registration payment.

Travel Information

Instructions on how to get to the IEEE BigDataService 2025 (and CISOS) can be found here: Travel Information

Steering Committee

  • Jerry Gao - San Jose State University, USA
  • Guido Wirtz - University of Bamberg, Germany
  • Huaiming Wang - National U. of Defense Tech., China
  • Jie Xu - University of Leeds, UK
  • WeiTek Tsai - Arizona State University, USA
  • Axel Kupper - Technische U. Berlin, Germany
  • Hong Zhu - Oxford Brookes University, UK
  • Longbin Cao - U. of Technology Sydney, Australia
  • Cristian Borcea - New Jersey Institute of Tech., USA
  • Hiroyuki Sato - University of Tokyo, Japan
  • Kuo-Ming Chao - Bournemouth University, UK

General Chairs

  • Muhammad Younas - Oxford Brookes University, UK
  • Iraklis Varlamis - Harokopio University of Athens, Greece
  • Fanjing Meng - Lenovo, China

Program Chairs

  • William Andreopoulos - San Jose State University, USA
  • Paolo Nesi - University of Florence, Italy
  • Xiaotian Xu - Beijing Urban Construction Intelligent Control, China

Program Committee

  • Farooq Akhtar - University of Kotli AJ&K, Pakistan
  • Tommaso Alfonsi - Politecnico di Milano, Italy
  • Igor de Almeida - Kyoto University, Japan
  • Naga Surya Sandeep Angara - National Institute of Health, USA
  • Surapong Auwatanamongkol - NIDA, Thailand
  • Faycal Bensaali - Qatar University, Qatar
  • Antariksh Bothale - Google, USA
  • Bernardo Breve - Department of Computer Science, University of Salerno, Italy
  • Márcio Castro - Federal University of Santa Catarina (UFSC), Brazil
  • Nelio Cacho - UFRN, Brazil
  • Cinzia Cappiello - Politecnico di Milano, Italy
  • Emanuele Carlini - National Research Council of Italy, Italy
  • Stefano Cirillo - Universita degli Studi di Salerno, Italy
  • Enrico Collini - University of Florence, Snap4City, Italy
  • Marcel Dix - ABB Corporate Research, Switzerland
  • Hiroyuki Fujioka - Fukuoka Institute of Technology, Japan
  • Kaoru Fujioka - Fukuoka Women's University, Japan
  • Alberto García - Universitat Politècnica de València, Spain
  • Christos Gogos - University of Ioannina, Greece
  • Luciano Alessandro Ipsaro Palesi - Università degli studi di Firenze, DINFO, DISIT Lab, Italy
  • Jinoh Kim - Texas A&M University-Commerce, USA
  • Shubham Jindal - Independent Researcher, USA
  • Li Liu - Chongqing University, China
  • Meng Ma - Peking University, China
  • Qizhong Mao - ByteDance, China
  • Ronaldo Mello - UFSC, Brazil
  • Dimitrios Michail - Harokopio University of Athens, Greece
  • Georgios Th. Papadopoulos - Harokopio University of Athens, Greece
  • Barbara Pernici - Politecnico di Milano, Italy
  • Dana Petcu - West University of Timisoara, Romania
  • Petros Potikas - National Technical University of Athens, Greece
  • Carlos Rojas - San Jose State University, USA
  • José Fabián Reyes Román - Valencian Research Institute for Artificial Intelligence (VRAIN), Universitat Politècnica de València, Spain
  • Juan Antonio Rico Gallego - Foundation for Computing and Advanced Technologies of Extremadura (COMPUTAEX), Spain
  • Monjoy Saha - Emory University, USA
  • Wudhichart Sawangphol - Faculty of ICT, Mahidol University, Thailand
  • Saptarshi Sengupta - San Jose State University, USA
  • Monjoy Saha - Emory University, USA
  • Jenil Shah - Amazon, USA
  • Rachanart Soontornvorn - Sirius Technologies, Thailand
  • Kushal Thakkar - Anthropic, USA
  • Jagadish Venkatraman - Stanford University, USA
  • Junchi Yan - Shanghai Jiao Tong University, China