archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

[Archimedes Talk] Incident Management Modelling via AI - Prof. Simona Mihaita

Dates
2024-08-30 11:00 - 13:00
Venue
Archimedes Amphitheater - Marousi
Με μεγάλη χαρά σας προσκαλούμε στην ομιλία θα διεξαχθεί στις 30 Αυγούστου 2024, 11:00πμ, με ομιλητή την καθ. Simona Mihaita στο αμφιθέατρο της Μονάδας Αρχιμήδης – λεπτομέρειες της ομιλίας ακολουθούν. Η ομιλία θα μεταδοθεί και διαδικτυακά - εδώ.
 
 

Incident Management Modelling via AI
 
Prof. Simona Mihaita (University of Technology Sydney, Australia)
Abstract
This talk will delve into the transformative potential of AI modeling in Traffic Incident Management. It will begin by outlining the critical problem of efficiently predicting and managing traffic incidents. The discussion will then address the significant challenges faced, such as accident reporting errors, high dimensionality and lack of automated process.
The core of the talk will focus on innovative methodologies designed to tackle these issues. First, it will introduce the "Universal Bi-Level Framework for Traffic Incident Duration Prediction," a novel approach that enhances prediction accuracy. Next, the talk will explore "Data Fusion Techniques for Enhanced Incident Modelling," which integrates diverse data sources to improve the modeling of incidents including text. Lastly, it will cover "Methodologies for Traffic Disruption Segmentation," which aims to build an automatic procedure for detecting accidents in advance of their reporting time.
The session will conclude with a summary of how these innovations collectively advance traffic incident management, offering a more responsive and efficient approach to handling disruptions on the road.
 
Short Biography
Dr Mihaita is an Associate Professor at the University of Technology in Sydney, leading the Future Mobility Lab. Her research focus is to improve people's movement via artificial intelligence in a smart city context. Dr Mihaita holds several leadership roles securing funding over $5M in initiatives such as the Australian-Singapore Strategic Collaboration via a joint NRF-ARC Linkage Project, the "Premiere's Innovation Initiative" for easing congestion leading to ICMP (Intelligent Congestion Management Program), the "On-Demand Mobility" trials in Northern Beaches with Keolis Downer, the impact of Electric Vehicles with AEMO, the Automatic Road Star Rating with TomTom, the positioning accuracy of connected trucks with TfNSW, etc.  
 
She is a winner of the 2023 iAWARDS – for Digital Twin modelling, 2022 Women in AI Awards – Infrastructure category, a triple finalist in the 2021 IoT Awards – Smart Cities, 2021 ITS Australia for Transport Data Excellence and for R&D Excellence, the winner of the 2018 ITS Australia National Awards for Research Excellence, nominated TfNSW Expert panel member, finalist in Smart City Awards 2019, awarded Monash Business School Scholarship for Women in Leadership 2018, nominated for the 2019 Prime Minister's Science Awards, and interviewed by Channel 7 News and The Guardian.  
 
So far, Simona has 56 peer reviewed publications, out of which 14 in IEEE venues (including IEEE ITSC, and the top journal in transportation science – IEEE Transactions on ITS). Her publication rate since joining UTS in 2019 is 10.6 publications per year. Her Google Scholar citation score is 1130, h-index =16. She is cited by academics from University of College London, University of Calgary Canada, from USA, Australia, India, and Malaysia.
 
 

Vision

To position Greece as a leading player in AI and Data Science

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Mission

To build an AI Excellence Hub in Greece where the international research community can connect, groundbreaking ideas can thrive, and the next generation of scientists emerges, shaping a brighter future for Greece and the world

 

Welcome to ARCHIMEDES, a vibrant research hub connecting the global AI and Data Science research community fostering groundbreaking research in Greece and beyond. Its dedicated core team, comprising lead researchers, affiliated researchers, Post-Docs, PhDs and interns, is committed to advancing basic and applied research in Artificial Intelligence and its supporting disciplines, including Algorithms, Statistics, Learning Theory, and Game Theory organized around 8 core research areas. By collaborating with Greek and Foreign Universities and Research Institutes, ARCHIMEDES disseminates its research findings fostering knowledge exchange and providing enriching opportunities for students. Leveraging AI to address real-world challenges, ARCHIMEDES promotes innovation within the Greek ecosystem and extends its societal impact. Established in January 2022, as a research unit of the Athena Research Center with support from the Committee Greece 2021, ARCHIMEDES is funded for its first four years by the EU Recovery and Resilience Facility (RRF).

 
 

NEWS

 
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Archimedes and the Biomedical Research Foundation Share Latest Findings in AI and Medicine

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Archimedes Reaches Milestone of 200 Publications

Archimedes Reaches Milestone of 200 Publications

Archimedes is proud to announce that its researchers have published over 200 scientific publications in top-tier conferences (NeurIPS, ICLR, ICML) and journals.Archimedes maintains a vibrant scientific community of over 130 researchers, including more than 60 senior researchers (faculty members from Greece and abroad), 12 postdoctoral fellows, and 55 PhD students, along with over 20 undergraduate interns from various disciplines.

Happy International Greek Language Day!

Happy International Greek Language Day!

Today, we celebrate the historical, cultural, and linguistic significance of the Greek language. While Standard Modern Greek often takes center stage, we at Archimedes - AI and Data Science Research Hub recognize the impressive diversity and great cultural significance of its numerous dialects. These dialects present both exciting opportunities and complex challenges for AI and Large Language Models (LLMs) because each one of them presents unique linguistic features and all of them are low resourced. That’s why we’re using cutting-edge AI to document, digitize, and analyze these invaluable linguistic treasures, ensuring their preservation and accessibility for generations to come.

Two Research Positions in Data Stream Management Systems & Big Data Management

Two Research Positions in Data Stream Management Systems & Big Data Management

We are pleased to announce the availability of two research positions in data stream management systems and big data management, to be co-supervised by Assistant Professor Odysseas Papapetrou from the Eindhoven University of Technology (TU/e) in the Netherlands and Professor Minos Garofalakis from the Technical University of Crete in Greece.

 
 

The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

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