Minisymposiums

Organizer: Muhammad Gulzari
School of Civil Engineering, University College Dublin, Belfield, Dublin 4, Dublin, D04 V1W8, Ireland
Email: muhammad.gulzari@ucd.ie

Acoustic metamaterials have emerged as a transformative paradigm for manipulating elastic and acoustic waves at subwavelength scales, enabling unprecedented control over vibration propagation and noise radiation. This minisymposium brings together recent advances in the design, modeling, fabrication, and application of acoustic metamaterials for passive, semi-active, active, and adaptive vibration and noise control.

Topics of interest include, but are not limited to:

• Locally resonant and inertial-amplified metamaterials for low-frequency vibration attenuation
• Lightweight meta-lattices and sandwich structures for airborne and structure-borne noise reduction
• Non-reciprocal, topological, and programmable metamaterials for tunable wave steering
• Metasurfaces, meta-shells, and meta-liners for duct and enclosure noise control
• Integration of metamaterials with conventional damping and isolation systems
• Experimental characterization, additive manufacturing, and scale-up toward real-world engineering applications

The symposium aims to foster cross-disciplinary discussion among physicists, mechanicians, and acoustic engineers, highlighting both fundamental wave physics and practical solutions for transport, aerospace, industrial machinery, construction and built environment noise challenges. Contributions are welcome on analytical, numerical, and experimental work, as well as emerging topics such as nonreciprocal metamaterials, machine-learning-assisted design and multi-functional meta-structures.

Organizer: Sanchit Saxena
Indian Institute of Technology Guwahati
Email: s.sanchit@iitg.ac.in

Recent advances in sensing technologies, machine learning, and uncertainty-aware computational modeling are transforming the way reliability and health assessment are performed in modern engineering systems. The integration of Artificial Intelligence (AI) with probabilistic mechanics, structural dynamics, and prognostic health management is enabling the development of intelligent frameworks for predictive maintenance, fault diagnostics, reliability estimation, and digital twinning of complex structural and machinery systems.

This mini-symposium aims to bring together researchers working at the intersection of AI, uncertainty quantification, structural dynamics, machinery diagnostics, and reliability engineering. The focus is on data-driven and physics-informed approaches for monitoring, prognosis, and reliability assessment of engineering systems subjected to dynamic, stochastic, and operational uncertainties. It particularly encourages contributions involving machine learning, Bayesian inference, surrogate modeling, digital twins, structural health monitoring, vibration-based diagnostics, and probabilistic methods for failure prediction and system reliability. Applications may include rotating machinery, aerospace systems, energy infrastructure, smart structures, transportation systems, and critical civil infrastructure. The objective is to provide a focused platform for discussing emerging methodologies that combine data-centric intelligence with mechanics-based reliability assessment for next-generation resilient engineering systems.

Organizers:
Jian Wei Yan, East China Jiaotong University, jianwei@mail.ustc.edu.cn
Cheng Li, Changzhou Institute of Technology, licheng@czust.edu.cn
Ping Xiang, Central South University, pxiang2-c@my.cityu.edu.hk

Architectured periodic-structure materials have emerged as a paradigm-shifting class of metamaterials, enabling extraordinary deformation manipulation and dynamic characteristics which are inaccessible by conventional materials. This minisymposium seeks to bring together cutting-edge contributions on the modeling, simulation, and experimental characterization of vibration behaviors in these periodic systems.

Topics of interest include but are not limited to:

• Scale- and boundary-effects in periodic architectures
• Bandgap of periodic-structure materials and its applications in vibration mitigation and isolation
• Theoretical advances in homogenization and dispersion relations
• Novel computational frameworks for periodic-structure materials
• Unique mechanical responses of homogeneous and composite periodic materials
• Morphological design and topology optimization of periodic configurations
• Nonlinear vibration phenomena and their underlying mechanisms

Note:

Experts and researchers in relevant fields are warmly invited and encouraged to organize a minisymposium as a part of the conference. Interested minisymposium organizers may submit their proposals, invite participants to their sessions and contribute to shaping the intellectual landscape of the conference. Your expertise and leadership will play a crucial role in enhancing the quality and impact of the event. Each minisymposium should be organized by a designated expert(s) who will:

• define the theme and scope of the session;
• invite speakers, review and recommend submitted abstracts to organizing committee; and
• structure and chair the session to ensure high-quality discussions and engagement.

Additionally, minisymposium organizers have the opportunity to:

• Select a Session Keynote Paper: A standout contribution within their session (for at least 6 registered participants, including students) may be designated as a Session Keynote Paper, recognizing significant advancements or novel insights in the field.
• Award a Session Best Student Paper: If a minisymposium includes four or more student participants, the organizer may recognize the most outstanding student presentation with a Session Best Student Paper Award, encouraging young researchers and fostering academic excellence.

Organizer: Yuki Kato
School of Systems Engineering, Kochi University of Technology, 185 Miyanokuchi, Tosayamada, Kami City, Japan
Email: kato.yuki@kochi-tech.ac.jp

This mini-symposium aims to bring together state-of-the-art research on vibration measurement and signal processing. In addition to improvements in conventional measurement systems, it would cover emerging measurement technologies, including novel transducers, advanced mathematical algorithms, newly defined vibration parameters, and applied signal-processing techniques such as transfer path analysis.

Possible topics include, but are not limited to:

• Image-based vibration measurement techniques
• Novel vibration sensors, including RFID-based sensors and millimeter-wave radar
• Modal analysis techniques
• Vibration-based anomaly detection techniques
• Advances in transfer path analysis

This mini-symposium focuses on both fundamental research in vibration measurement and signal processing methods and their industrial applications. Analytical, numerical, and experimental studies are all welcome.

Organizer: LK Tartibu
Department of Mechanical and Industrial Engineering Technology, University of Johannesburg, Johannesburg, South Africa
Email: ltartibu@uj.ac.za

Accurate prediction and characterization of the dynamic behavior of machinery and structural systems increasingly require integrating physics-based modeling, computational simulation, experimental measurements, and modal parameter identification. This minisymposium will provide a focused forum for researchers and practitioners working across these complementary areas, with particular emphasis on the correlation between component-level modal properties and system-level dynamic response.

Contributions are invited on the following topics:

• Analytical, numerical, and experimental dynamic modeling
• Finite-element and reduced-order modeling
• Experimental and operational modal analysis
• Identification of natural frequencies, damping ratios, and mode shapes
• Frequency- and time-domain system identification
• Model updating, uncertainty quantification, and model-test correlation
• Nonlinear dynamics
• Rigid and flexible multibody dynamics
• Co-simulation, virtual prototyping, and digital-twin-oriented applications

The minisymposium will also highlight the use of industrial simulation environments, including Adams, for modeling mechanisms and complex machinery, incorporating flexible-body representations and modal data, predicting load transfer, and evaluating dynamic performance before physical prototyping. Applications may include rotating machinery, vehicles, robotic and mechatronic systems, energy systems, aerospace structures, and other dynamically loaded engineering systems.

By bringing together academia, software specialists, and industry, the session aims to promote robust workflows that connect governing models, identified modal parameters, and validated system-level simulations, while encouraging discussion on verification, experimental validation, and practical deployment.

Organizers:
Dr. Ramesh Singh, Indian Institute of Technology Bombay, Mumbai, India, rsingh@iitb.ac.in
Dr. Rinku Mittal, Indian Institute of Technology Guwahati, Guwahati, India, rkmittal@iitg.ac.in
Dr. Kundan Kumar Singh, BITS-Pilani Hyderabad Campus, Hyderabad, India, ksingh@hyderabad.bits-pilani.ac.in

In recent years, the evolution of manufacturing processes toward near-net-shape production has necessitated the integration of AI/ML-based monitoring to minimize rejection rates and post-processing requirements. Phenomenal progress has been made in applying advanced AI/ML techniques directly to manufacturing hardware, making these tools an integral component of modern machine tools. For instance, machine vision-based techniques are now synonymous with 3D printing and additive manufacturing (AM) workflows. Furthermore, in-process defect identification and predictive feedback loops have significantly improved throughput and product quality. These AI-driven tools empower manufacturers to make real-time decisions, reducing both defects and downtime. While the rise of cloud-based platforms allows for the management of vast historical datasets and predictive maintenance, a major challenge remains: vibrations induced by process or machine abnormalities. While signal-processing approaches have traditionally characterized these vibrations, the current trend leverages AI/ML to augment these methods for more robust anomaly detection.

This symposium invites papers on the following research themes:

• Advancements in AI/ML for Vibration monitoring in machine tools and industrial machinery.
• AI/ML Applications for Vibration Monitoring across diverse manufacturing processes, including machining, additive manufacturing, and forming.
• Innovations in Signal Processing for enhanced vibration detection and characterization in manufacturing environments.
• Feature Extraction and Optimization using AI/ML for chatter detection in machining and additive manufacturing processes.
• Digital Twin Development for real-time condition monitoring of manufacturing processes and machine tools.
• Large Language Model (LLM) Integration in manufacturing for intelligent process monitoring, diagnostics, and human-machine feedback.
• Advanced Machine Vision Systems for non-contact vibration analysis and process monitoring of active manufacturing operations.

Paper Submission (Dates are subject to change):
Abstract and poster submission: 31-Aug-26
Notification of acceptance: 15-Sep-26
Early-bird registration: 30-Sep-26
Regular registration: from 1 October 2026 to 15 December 2026

Submissions will only be accepted via the conference website: https://vetomac.org/sub.html
Only abstract of approximately 200 words need to be submitted.