Special Session 4

 

Special Session 4: Statistical and Causal Inferences in Multimodal Sensing Problems

Description: Sensing in many different scenarios and applications has been attracting plenty of attention recently as it is required for environment monitoring and control, building autonomous intelligent systems, supporting decisions, finding explanations as well as providing new data for training the AI models. This trend is also encouraged by the ubiquitous connectivity and the availability of plethora of increasingly cheap sensing devices. The generated data are multimodal, distributed, high-volume, high-dimensional, possibly sparse, and with different distributions, distortions and sampling rates. This creates a number of challenges for designing and implementing downstream data processing methods that are robust, trustworthy, and that do not consume excessive computing and communication resources. This special session aims to bring together researchers and practitioners working at the intersection of statistical signal processing, causal inference, machine learning, and multimodal sensing. It will explore recent theoretical advances, computational methods, and practical applications for reliable estimation, detection, prediction, and decision-making from multimodal observations. The contributions outlining emerging research trends and interdisciplinary applications are particularly encouraged.

Session organizers
Assoc. Prof. Pavel Loskot, Zhejiang University, China
Prof. Ying-Ren Chien, National Taipei University of Technology, Taiwan

The topics of interest include, but are not limited to:
• Multimodal inferences including forecasting problems
• Geometric approaches in signal and data processing
• Statistical and causal inferences exploiting deep learning
• Foundational models for signal and data processing
• AI-driven signal and data processing methods
• Efficient implementations including distributed and low-power platforms
• Applications including but not limited to communications, navigation and localization, biological signal processing and other

Submission method
Submit your Full Paper (no less than 10 pages) or your paper abstract-without publication (200-400 words) via Online Submission System, then choose Special Session 4 (Statistical and Causal Inferences in Multimodal Sensing Problems)
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Introduction of session organizers

 

Assoc. Prof. Pavel Loskot
Zhejiang University, China

Pavel Loskot (Senior Member, IEEE) joined the ZJU-UIUC Institute in January 2021 as Associate Professor after 14 years with College of Engineering, Swansea University, UK. In the past 30 years, he was involved in numerous collaborative research and development projects, and also held a number of paid consultancy contracts with industry mainly, but not only in wireless communications. His research interests focus on mathematical and probabilistic modeling, statistical and digital signal processing, and machine learning for multi-sensor, tabular, and longitudinal data. He received 8 best paper awards, and delivered 18 tutorials in international conferences. He is the Fellow of the HEA, UK, Recognized Research Supervisor of the UKCGE, and the IARIA Fellow. He is the Editor in ICT Express.

 

Prof. Ying-Ren Chien
National Taipei University of Technology, Taiwan

Ying-Ren Chien (Senior Member, IEEE) is a Full Professors in the Department of Electronic Engineering, National Taipei University of Technology, Taipei. His research interests include consumer electronics, multimedia denoising algorithms, adaptive signal processing theory, active noise control, machine learning, the Internet of Things, and interference cancellation. Dr. Chien was the recipient of the best paper awards, including ICCCAS 2007, ROCKLING 2017, IEEE ISPACS 2021, IEEE CESoc/CTSoc Service Awards in 2019, NSC/MOST Special Outstanding Talent Award in 2021, 2023, and 2024, Excellent Research-Teacher Award in 2018 and 2022, and Excellent Teaching Award in 2021. From 2023 to 2024, he was Vice Chair of the IEEE Consumer Technology Society Virtual Reality, Augmented Reality, and Metaverse (VAM) Technical Committee (TC). Since 2025, he has been the Secretary of IEEE CTSoc Audio/Video Systems and Signal Processing TC. He is currently an Associate Editor for IEEE Transactions on Consumer Electronics.