Keynote Speakers
Simona Pepe
Data Science Team Lead at Electra Vehicles
Abstract:
Many industries play a vital role in accelerating the transition towards electrified transportation, all pointing towards making better, smarter cars with better, smarter batteries. Solutions to the challenges of battery lifetime, performance, and user experience can come from a variety of players, ranging from next-generation battery manufacturers to fleet operators, chipmakers, OEMs, and connected mobility software providers. At the core of the solutions is a need to understand battery performance and degradation and enable clear and actionable insights for innovators in the industry. Electra Vehicles stands at the forefront of this innovation, integrating sophisticated battery analytics, artificial intelligence (AI) and machine learning techniques to deliver state-of-the-art, high-impact battery software solutions. Our presentation will briefly introduce Electra’s commercial offerings, to delve then into the Electra Core Platform, which incorporates Secure Data Processing, Battery Insights derived through machine learning, and Automated ML Training. This platform ensures robust data security while facilitating the continuous evolution of battery performance metrics through AI-enhanced processes. Furthermore, we will discuss our Adaptive Cell Modeling System, a cornerstone of our technological suite that merges AI with fundamental physics to assess battery efficiency and durability. This system is designed to adaptively learn from a variety of data inputs and intelligently model solutions to monitor battery life and enhance reliability across different environments. The session will outline how our integrated approach not only addresses key challenges within the EV landscape, such as improving range and reducing wear and tear, but also sets new standards for the industry’s move towards software-defined vehicles. By focusing on the synergy between physics, AI and practical applications, Electra Vehicles is helping shape a sustainable future in intelligent transport systems.
Bio:
Aline Carneiro Viana
Senior Research Director at Inria, France
Abstract:
The future of mobility is undergoing a profound transformation driven by digital innovation and energy transitions. Drawing insights from the European Automotive Research Partners Association (EARPA) Position Paper on Future Mobility for People and Goods (2023), this keynote will address the critical research and strategic needs for navigating these changes.
We will highlight the importance of understanding user needs and behaviors, which is essential for aligning New Mobility Services (NMS) with societal objectives. Our exploration will delve into mobility behavior and trajectory analysis, demonstrating their roles in enhancing our comprehension of human mobility patterns and space utilization. We will illustrate how these insights can inform new applications through real-world examples, leading to more intelligent and adaptable urban mobility solutions.
Advocating for human-informed urban mobility approaches, we will emphasise the necessity of considering users’ diverse and evolving behaviors. This involves understanding movement patterns and transport mode preferences and anticipating changes over time. Additionally, we will discuss the need to consider the security of the digitised mobility system, addressing concerns about individual privacy. We hope these insights can drive innovative, human-informed mobility services, responding to the dynamic landscape of urban transportation.
Bio:
Aline Carneiro Viana is a Senior Research Director (DR) at Inria, where she leads the TRiBE research team. She holds a Ph.D. and an Habilitation à Diriger des Recherches (HDR) in Computer Science from UPMC – Sorbonne Université. She received the French Scientific Excellence Award for six years and was honored with the Medal of Honor 2021 from the Federal University of Goiás, Brazil, for her distinguished contributions to society.
Dr. Viana has published over 120 papers in top-tier conferences and prominent peer-reviewed journals. She has advised 17 Ph.D. students, 7 post-doctoral fellows, and 11 interns. She has played various chairing roles, such as publication, publicity, workshop, sponsorship, demo, and student travel grant, in organizing committees of major conferences including ACM SenSys, ACM Mobicom, IEEE Infocom, IEEE SECON, IEEE LCN, IEEE MASS, and IEEE DCOSS.
She serves as Area Editor of ACM SIGCOMM Computer Communication Review (ACM CCR) and Associate Editor of EPJ Data Science. Currently, she coordinates the Mob Sci-Dat Factory Project (involving 8 French institutions) under the French PEPR MOBIDEC action and the French ANR MITIK project. She is also a partner of the STIC AmSud LINT project (involving 4 Latin American partners). Her research interests focus on understanding and modeling human behaviors, particularly mobility behavior, and its impact on networking systems with applications in Tactile Internet.
