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Prof. Eiman Kanjo, Nottingham Trent University, UK
Abstract: Edge Computing in the hands of Users
Smart portable and wearable devices have become more and more popular in our lives due to their ability to “Wear and Use On-the-Go”. However, in order to collect data and perform momentarily assessment of users’ data, they require to be light weight, compact size with multiple sensors and higher processing capabilities.
Edge computing provides an opportunity for wearable devices to access more resources without violating the constraints on weight, size, and sensing capabilities. Furthermore, edge computing (including TinyML) provides many required on-device processing capabilities which can then help in protecting users’ private data as raw personal data (such as images and videos) don’t need to be shared remotely.
In this talk, I will look at the potential of edge computing to empower wearable and handheld devices while protecting users’ privacy and I will showcase several examples of our recent work at the Smart Sensing lab including fidgeting cubes for mental health, edge and portable devices for Crime prevention and edge gadgets for location-based gaming and wellbeing. I will also provide a glimpse into exciting future directions that promise to have a profound impact on the Edge-Computing in the hands of users.
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Biography:
Prof. Eiman Kanjo is a Professor of Pervasive Sensing at the Computer Science department, and the head of the Smart Sensing lab. She conducts research in Mobile Sensing, wearable, and Edge Computing She is a recent winner of the Top 50 Women in Engineering by the Women in Engineering Society. She is the NTU-Turing Network Development Award Lead funded by Alan Turing Institute. She is the academic lead of Smart Nottingham and Smart Campus initiatives.Smart Sensing team (www.SmartSensingLab.com) under the leadership of Prof. Kanjo has won the 2020/2021 Vice-Chancellor’s Outstanding Researcher Team Award. She is the academic lead of Smart Nottingham and Smart Campus initiatives. Eiman conducts research in Mobile Sensing, and she has written some of the earliest papers on the subject ((NoiseSpy, 2010), (GeoMobSens, 2008), and (MobSens, 2009)). Eiman is also an expert in developing digital technologies for well-being. She has been PI or Co-I on grants worth over £2.4m, funders including DCMS (5G Connected Forest, £10m project in collaboration with Nottingham County Council and many industrial organizations , wwwTagWithMe.com), InnovateUK, DSTL, ERDF, MoD, Lottery Fund. She works closely with Mental Health charities, local authorities and industry. Previously Prof. Kanjo worked for more than three years as a Research Fellow at the Computer Laboratory, University of Cambridge. Prof. Kanjo carried out research work at the MRL (Mixed Reality Lab), Computer Science Department, University of Nottingham.
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Prof. Paolo Rosso, UPV, Spain
Abstract: On the detection of fake news, conspiracy theories, and hate speech spreaders
The rise of social media has offered a fast and easy way for the propagation of fake news and conspiracy theories. Despite the research attention that has received, fake news detection remains an open problem and users keep sharing texts that contain false statements. In this keynote I will describe how to go beyond textual information to detect fake news, taking into account also affective and visual information because providing important insights on how fake news spreaders aim at triggering certain emotions in the readers. I will also describe how psycholinguistic patterns and users' personality traits may play an important role in discriminating fake news spreaders from fact checkers. Finally, I will comment on some studies on the propagation of conspiracy theories. The ongoing work done on detection of disinformation, from fake news to conspiracy theories, is in the framework of IBERIFIER, the Iberian media research & fact-checking hub on disinformation funded by the European Digital Media Observatory (2020-EU-IA-0252), and the XAI-DisInfodemics project on eXplainable AI for disinformation and conspiracy detection during infodemics funded by the Spanish Ministry of Science and Innovation (PLEC2021-007681). In the final part of the keynote I will address also the other side of harmful information in social media, hate speech, making emphasis on the case of misogynous memes. |
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Biography:
Paolo Rosso is Full Professor at the Universitat Politècnica de València, where he is also a member of the Pattern Recognition and Human Language Technology (PRHLT) research center. His research interests are focused on social media data analysis, mainly on fake news and hate speech detection, author profiling, and sarcasm detection. He has published 50+ articles in journals (34 Q1) and 400+ articles in conferences and workshops, he has an H-index of 68
(source: Google Scholar) and he is in the ranking of the top H-index scientists in Spain (http://www.guide2research.com/scientists/ES). He has been PI of several national and international research projects funded by EC, U.S. Army Research Office, Qatar National Research Fund, and Vodafone Spain. Currently, he is the PI of the research project XAI-DisInfodemics on eXplainable AI for disinformation and conspiracy detection during infodemics (Spanish Ministry of Science and Innovation), a member of the EC IBERIFIER project on Monitoring the threats of disinformation (European Digital Media Observatory), the project on Resources and Applications for Detecting and Classifying Polarized Hate Speech in Arabic Social Media (Qatar National Research Fund), and the recent FairTransNLP project on Fairness and Transparency for equitable NLP applications in social media (Spanish Ministry of Science and Innovation). He has been advisor of 26 PhD theses and currently he is the advisor of 8 PhD students. Paolo Rosso gave several keynotes (TSD-2020, CICLing-2019 etc.) and has helped organising 30+ shared tasks at the PAN Lab at CLEF and FIRE evaluation forums, SemEval, IberLEF and Evalita on topics such as author profiling (e.g. profiling bots, haters, and fake news spreaders), hate speech detection, irony detection, misogyny, sexism and toxic language identification. He helped as senior chair or track chair in conferences such as SIGIR, ACL, COLING, EMNLP, just to name a few.
Since 2014 he is Deputy Steering Committee Chair of the CLEF Association.
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Prof. Barbara Piga, Politecnico di Milano, Italy
Abstract: Assessing the urban experience through data: the importance of an interdisciplinary approach
The way architects design cities changes over time and this process is influenced by technological development with an effect on design thinking, thus impacting the shape of cities.As a matter of fact, urban transformations largely affect people’s everyday experiences: integrating subjective and urban data can support the designers’ and public administrations’ decision-making process. Those data typically depict the existing or past city conditions, but how to envision the cumulative effect of urban design choices? How to pre-assess the future city experience before the physical transformations take place? These crucial urban issues are discussed by presenting an innovative methodology for collecting and analyzing experiential data to support city management and design.. |
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Biography:
An Architect by education, Barbara E. A. Piga is a Professor at the Politecnico di Milano (POLIMI), where
she is Coordinator of the Laboratorio di Simulazione Urbana Fausto Curti - labsimurb (Dep. of Architecture and
Urban Studies) since its foundation in 2007. She is founding partner of the REAACH - Representation Advances and
Challenges Association established in 2022. She is member of the Board of the interdepartmental research
laboratory i.Drive - Interaction Between Driver, Road Infrastructure, Vehicle, And Environment since 2019, and of the
POLIMI laborA laboratory since 2022. She is member of the Steering Committee of the European Architectural
Envisioning Association - EAEA since 2009, and of the International Ambiances Network since 2015. She is the
POLIMI Coordinator of two European Projects H2020 EIT Digital (Digital Cities) AR4CUP: Augmented Reality for
Collaborative Urban Planning (2019 and 2020) where the exp-EIA © (experiential Environmental Impact
Assessment) method, applied in the City Sense app, was developed to favor inclusive and collaborative urban
design processes. Her research interest is the human/environment relationship that she investigates by applying
experiential simulation solutions in XReality for sensory urban design. She fosters a human-centered, multi-
scalar, and interdisciplinary approach in research and profession.
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