


Important Dates
Welcome to BIM 2025
Big Data, IoT and Machine Learning are important components of the 4.0 Industrial Revolution. For the sustainability of development, it is necessary to prepare our researchers as well as the students to conduct their innovation and research with the components of 4.0 IR. Considering this scenario, 3rd International Conference on Big Data, IoT and Machine Learning (BIM 2025) is going to be organized by Department of CSE and EEE, DIU, Bangladesh; Center for Intelligent Computing and Bangladesh Computer Society on September 25-27, 2025, at Dhaka International University, Bangladesh.
BIM 2025 is designed as a vibrant multidisciplinary platform that brings together ideas and innovations from across five key tracks: Intelligent Data Science, Cognitive Machine Learning, IoT and Smart Infrastructure, Big Data for Sustainable Systems, and ML-Driven Scientific and Engineering Applications. The conference aims to foster collaboration between academia, industry, and government, promoting cross-disciplinary research that aligns with the goals of Industry 4.0.
All accepted and presented papers at BIM 2025 will be considered for publication in either Springer lecture Notes in Networks and Systems or Taylor and Francis Books, indexed by different reputable indexing services such as Scopus, DBLP etc.
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.

Tracks
Track 1: Intelligent Data Science and Applications
Focus:
Core data techniques integrated with domain applications across science, business, and engineering. Delve into advanced analytics, machine learning deployment in real-world scenarios, and the ethical considerations of data-driven innovations.
Track 2: Machine Learning and Cognitive Systems
Focus:
From theory to real-world intelligent applications including robotics, industry, healthcare, and physical sciences. Explore deep learning, neural networks, natural language processing, computer vision, and the development of sophisticated cognitive architectures.
Track 3: Internet of Things and Smart Infrastructure
Focus:
IoT technologies across domains including agriculture, smart cities, industrial automation, and energy systems. Discuss sensor networks, data acquisition, edge computing, IoT security, and the creation of intelligent and interconnected infrastructures for a sustainable future.
Track 4: Sustainable and Green Computing Systems
Focus:
Energy-aware systems, sustainable computing, and computational models in material and environmental sciences. Investigate energy efficiency in hardware and software, renewable energy integration in computing, and the use of computational methods to address environmental challenges.
Track 5: Computational Engineering and Scientific Modeling
Focus:
Integration of computational intelligence with physics, biology, electrical, civil, and mechanical engineering. Explore numerical simulations, high-performance computing, AI-driven design, and modeling complex systems across various engineering and scientific disciplines.
Submission Guidelines
Manuscript Preparation
All submissions must be original and not simultaneously submitted to another journal or conference. The paper length should not exceed 15 pages.
- Initial submissions must be in .pdf format.
- All submissions should be in English.
- Overall similarity index should not be more than 15%.
- Single source similarity index should not be more than 4%.
- Double Blind Review process will be followed for all submissions.
- Initial submissions MUST NOT contain authors' names, affiliations, or any identifying information.
- Author information should be restored in the camera-ready version upon acceptance.
- Papers must be formatted using the SPRINGER Author's Kit.
Detailed instructions and templates are available at: Springer Guidelines
Submission Information
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.