About the Conference
The International Conference on Internet of Things and Machine Learning (IML 2017) brought together researchers and practitioners to explore advances at the intersection of IoT and machine learning. The conference provided a forum for presenting new research, exchanging ideas, and discussing emerging trends across both fields.
IML 2017 featured a comprehensive programme including keynote speakers, paper presentations, and networking opportunities for attendees from academia and industry.
The International Conference on Internet of Things and Machine Learning brings together researchers, practitioners, and industry leaders to explore the evolving landscape of connected devices and intelligent systems. As the Internet of Things continues to expand across homes, cities, and industries, the need for robust machine learning frameworks becomes increasingly critical. This conference serves as a platform for sharing cutting-edge developments in sensor networks, data analytics, and embedded intelligence. Attendees can expect a rich program of paper presentations, keynote talks, and collaborative workshops designed to spark innovation and cross-disciplinary dialogue. The event fosters a community where theoretical advances meet real-world applications, from smart infrastructure to healthcare solutions.
Machine learning algorithms are transforming how IoT devices process and interpret the vast streams of data they generate. Rather than relying solely on centralized cloud computing, modern approaches increasingly emphasize edge intelligence, where models run directly on devices for faster, more private decision-making. Topics explored at the conference include federated learning, anomaly detection, resource-efficient neural networks, and adaptive systems that learn from changing environments. These innovations are particularly relevant for applications in environmental monitoring, autonomous systems, and personalized user experiences. The conference highlights both the technical challenges and the promising breakthroughs that define this rapidly advancing field, encouraging collaboration between hardware designers and software engineers.
Beyond the technical sessions, the conference provides valuable networking opportunities for professionals at every career stage. Participants can connect with peers who share a passion for building smarter, more responsive systems that improve daily life. The program is designed to bridge the gap between academic research and industrial deployment, ensuring that theoretical insights translate into practical impact. Discussions extend to ethical considerations, data privacy, and the societal implications of widespread IoT adoption. By fostering an inclusive and energetic atmosphere, the conference aims to inspire the next generation of innovators and to strengthen the global community dedicated to advancing the Internet of Things and machine learning.
Conference Sections
- Aim & Scope — Outlining the conference's focus on IoT and machine learning research.
- Committee — The organising and technical programme committee members.
- Keynote Speakers — Invited talks from leading researchers in the field.
- Important Dates — Deadlines for paper submission, notification, and registration.
- Paper Submission — Guidelines and procedures for submitting research papers.
- Publication — Details on accepted paper publication and indexing.
- Call For Papers — Inviting abstracts, short papers, and regular papers.
- Venue — Location and facilities for the conference.
- Registration — Attendee registration information.
- Programme and Schedule — The conference timetable and session details.
- Travel Information — Guidance for reaching the venue.
Scope
IML 2017 covered a broad range of topics spanning the Internet of Things — including sensor networks, embedded systems, and connected devices — alongside machine learning techniques such as deep learning, pattern recognition, and data mining. The conference encouraged interdisciplinary submissions that bridged both domains.
Questions?
For any enquiries about IML 2017, please reach out via email: