Symposium Organizer:

Organizer:

Faculty of Medical and Health Sciences and Bioengineering Institute, University of Auckland

Chair:

Personal Bio:

Alan Wang is a principal investigator and Associate Professor at University of Auckland. He has more than ten years of research experience in bioengineering informatics and integrated medicine, especially in advancing the role of medical informatics in health care. His research interests include bioengineering, data informatics, neurocomputing, and biomedical statistics and simulation. He has developed medical data analytics methods for mobile health and personalized diagnosis and prognosis based on intelligent computing theories. He has experience analyzing huge cohorts of patient data with applications of early diagnosis, disease understanding, and effective treatment of patients with different disorders. He serves as an Editorial Board Member and an Active Reviewer for several international journals.

Call for Papers:

Background:

The Workshop on Sensor Technology and Multimodal Data Analysis 2025 offers a vital platform for researchers, engineers, and industry professionals to delve into advancements in sensor technologies and the complex landscape of multimodal data analysis. As sensor technology rapidly evolves, with applications spanning healthcare, environmental science, and smart cities, it is crucial to explore how multimodal data—integrating signals from diverse sources—can be effectively analyzed to unlock valuable insights. Positioned as a catalyst for interdisciplinary collaboration, the Workshop on Sensor Technology and Multimodal Data Analysis 2025 seeks to bring together experts to address the challenges of combining and interpreting data from multiple sensors and to foster innovations that drive actionable outcomes. Through shared knowledge and collaborative efforts, the Workshop aspires to advance research and applications in sensor-based multimodal data analysis, paving the way for transformative solutions in data-intensive fields.

Goal/Rationale:

The Workshop on Sensor Technology and Multimodal Data Analysis 2025 addresses critical challenges and recent breakthroughs in sensor technology and data fusion from diverse data streams. With the proliferation of IoT, smart devices, and intelligent infrastructure, there is a growing demand for sophisticated methods to integrate, analyze, and interpret data from various sensor sources. This workshop fosters a deep understanding of the latest advances in multimodal data processing, machine learning applications, and cutting-edge signal processing techniques. This workshop will feature recent research presentations, interactive panel discussions, and real-world case studies that showcase practical applications of advanced sensor technology and state-of-the-art multimodal data analysis algorithms. By creating a collaborative environment for idea exchange and exploration, this workshop aspires to drive innovation, inspire partnerships, and enable participants to push the boundaries of sensor-based data analysis, creating transformative impacts across multiple industries.

Scope and Information for Participants:

The Workshop on Sensor Technology and Multimodal Data Analysis 2025 invites contributions that delve into the latest advancements and challenges in sensor technology and multimodal data analysis. The workshop will cover a range of topics, from foundational sensor developments to innovative data fusion techniques, aimed at maximizing the potential of integrated, multisensory data systems.

Detailed research topics include, but are not limited to:

• Innovations in Sensor Design and Optimization for Multimodal Data Acquisition
• Machine Learning and AI for Sensor Data Processing and Interpretation
• Advanced Signal Processing Techniques to Improve Multimodal Data Quality and Reliability
• Data Fusion and Integration from Multiple Sensor Sources for Robust Analysis
• Applications of Multimodal Sensors in Healthcare, Environmental Monitoring, and Smart Infrastructure
• Challenges in Real-Time Data Analysis for IoT and Wearable Sensor Systems
• Emerging Technologies in Sensor Platforms for High-Precision, Low-Latency Data Capture

Publication:

Accepted papers of the symposium will be published in Theoretical and Natural Science (TNS) (Print ISSN 2753-8818), and will be submitted to Conference Proceedings Citation Index (CPCI), Crossref, CNKI, Portico, Engineering Village (Inspec), Google Scholar and other databases for indexing. The situation may be affected by factors among databases like processing time, workflow, policy, etc.

Publication info

Title: Theoretical and Natural Science (TNS)
Press: EWA Publishing, United Kingdom
ISSN: 2753-8818, 2753-8826 (electronic)

This symposium is organized by ICEGEE 2025 and it will independently proceed the submission and publication process.

The papers will be exported to production and publication on a regular basis. Early-registered papers are expected to be published online earlier.

Venue:

Grafton Campus, The University of Auckland, Auckland 1023, New Zealand

VISA:

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