May 21 – 25, 2023 | Como, Italy
ISTDM 2023
Bringing together leading researchers, scientists, engineers, and industry experts from around the globe, the Joint ISTDM-ICSI Conference serves as a platform for in-depth discussions and exploration of advancements in group IV materials and technology. It provides a unique opportunity to share cutting-edge research, innovative discoveries, and emerging trends in this rapidly evolving field.
In addition to the technical program, the conference also includes poster sessions and exhibitions showcasing the latest advancements, products, and services.
Who will be there:
- Applied Materials
- Schunk Xycarb Technology
- ASM
- Next Nano
- Thermo Fisher Scientific
- MBE Komponenten
Meet the Aimsun team
Jordi Casas
Dr Jordi Casas is Aimsun’s Global Head of Research and Development and an internationally recognized expert in transport simulation. A founder member of Aimsun, Jordi has been instrumental in the development and refinement of the algorithms used in Aimsun software since its inception and plays a key role in a variety of prestigious international research projects.
Jordi is a familiar presence at international transportation conferences and has published in journals on topics ranging from dynamic traffic assignment to calibration and integrated modeling.
Monica Dominguez
Mónica Domínguez is an analytical and detail-oriented data scientist with eight years of experience in Natural Language and Speech Processing and more than ten years of experience in the industry in several management roles. She has a theoretical and applied knowledge of machine learning, statistics, and probabilities. Adept at synthesizing complex unstructured and structured data into explainable pills of wisdom for both expert and lay audiences.
Paper:Online Demand Forecasting with Spatial-Temporal Graph Attention Networks: A Proof of Concept
Predicting future demand from the current state of the network is an unsolved challenge in dynamic traffic management systems which show the current state of traffic as well as demand and supply forecasts for simulations of response plans. In the context of the TANGENT H2020 project, data-driven methodologies are developed focusing on the real-time demand prediction problem.
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