Keynotes and Panels

Panelists at Ada's Legacy 2016.

Keynote speeches introduce the main topic and clear the ground for further discussion. Selected expert panelists discuss together the related issues and afterwards answer questions from the audience during the panel discussions.

Welcome Note from the ACM President

Dr. Gabriele Kotsis
Dr. Gabriele Kotsis
Gabriele is a Full Professor in Computer Science at Johannes Kepler University in Linz, Austria. She has organized ACM conferences and workshops, and in 2016 received an award in appreciation of her accomplishments regarding the ACM womENcourage conference series.

Gabriele is a founding member of the ACM Europe Council, serving from 2008 to 2016. In 2014, she became an ACM Distinguished Member for her contributions to workload characterization for parallel and distributed systems, and for founding ACM Europe. Since 2016, she has been an elected Member-at-Large of the ACM Council.

ACM has elected Gabriele Kotsis as President for a two-year term beginning 1 July 2020.

The Big Promise of Big Data Analytics

After presenting their topics the keynote speakers will get together in a live panel discussion to provide a glimpse of the wide spectrum of Big Data research and applications, as well as to answer questions from the audience.

Data Science to Fight the COVID-19 Pandemic: the Valencia Case

Since March 2020, Dr. Nuria Oliver has been appointed Commissioner for the President of the Valencian Region on AI Strategy and Data Science applied to the fight against COVID-19. She is leading a team of over 20 data scientists, who work on large-scale modeling to answer public policy questions. As part of this work, they have launched covid19impactsurvey, one of the largest anonymous citizens’ surveys to date related to COVID-19. This talk will describe the initial results of the large-scale human mobility modeling and computational epidemiological modeling.

Dr. Nuria Oliver
Dr. Nuria Oliver
Nuria is Chief Data Scientist at Data-Pop Alliance, Chief Scientific Advisor at the Vodafone Institute and co-founder of ELLIS (The European Laboratory for Learning and Intelligent Systems). She was the first female Scientific Director at Telefonica R&D and the first Director of Research in Data Science at Vodafone globally.
 
With over 25 years of research experience in Artificial Intelligence, Human Computer Interaction and Mobile Computing at MIT, Microsoft Research, she advise universities, governments and institutions like the European Commission and the World Economic Forum on Artificial Intelligence and Big Data. Her work is well known with over 160 scientific publications that have received more than 18,000 citations. She is co-inventor of over 40 filed patents and a regular keynote speaker at international conferences.

Nuria is a Distinguished Scientist of the ACM and an ACM Fellow. She is also a Fellow of the European Association of Artificial Intelligence (eurAI) and an IEEE Fellow. Her many other honors include membership of the Spanish Royal Academy of Engineering, CHI Academy and the Academia Europaea.

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Health Diagnostics through Audio Signals Collection and Analysis

Audio signals generated by the human body (e.g., sighs, breathing, heart, digestion, vibration sounds) have routinely been used by clinicians as diagnostic or progression indicators for diseases and disease onset. However, until recently, such signals were usually collected through manual auscultation at scheduled visits. Research has now started to use digital technology to gather bodily sounds (e.g. from digital stethoscopes) for cardiovascular or respiratory examination, which could then be used for automatic analysis. In this talk Dr. Cecilia Mascolo will describe the initial progress in using sounds for diagnostics and the challenges this poses. She will also describe their effort to collect and analyze data over a large-scale crowdsourced dataset of respiratory sounds collected to aid diagnosis of COVID-19.

Dr. Cecilia Mascolo
Dr. Cecilia Mascolo
Cecilia is Co-Director for the Centre for Mobile, Wearable Systems and Augmented Intelligence and a Full Professor of Mobile Systems in the Department of Computer Science and Technology and at Cambridge University in the UK. Her interests are in the study of mobile systems, the learning from their data offline and on device and their applications, especially in terms of mobile health. She is a Fellow of Jesus College and also Director of Studies for Computer Science in there.

She is a recipient of Google Faculty Research Award 2019 and member of the editorial boards of number of journals, including the ACM Transactions on Computing for Healthcare, Royal Society Open Science, the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies and the ACM Transactions on Sensor Networks.

Cecilia regularly delivers keynotes and invited talks at conferences and workshops. A comprehensive list can be found here.

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Democratizing Data Access through Intelligent Data Exploration Tools

Many different data sets, generated by users, systems and sensors, are continuously being collected. These data sets contain information about scientific experiments, health, energy, education etc., and they are highly heterogeneous in nature, ranging from highly structured data in tabular form to unstructured text, images or videos. These data can potentially benefit many types of users, from analysts exploring data sets for insight, scientists looking for patterns, to dashboard interactors and consumers looking for information. While the benefit of data exploration becomes increasingly more prominent, the limitations of existing tools make accessing and combining data from different sources a non-trivial, time-consuming, and often fruitless endeavor. In this talk, Dr. Georgia Koutrika will discuss about what it takes to bridge the gap between users and data, and the new generation of intelligent data exploration tools.

Dr. Georgia Koutrika
Dr. Georgia Koutrika
Georgia is Research Director at Athena Research Center in Greece. She has more than 15 years of experience in multiple roles at HP Labs, IBM Research – Almaden, and Stanford University.

Her work focuses on data exploration, recommendations, and data analytics, and has been incorporated in commercial products, described in 9 granted patents and 18 patent applications in the US and worldwide, and published in more than 80 papers in top-tier conferences and journals.

She is editor-in-chief for the VLDB Journal, associate editor for the IEEE Transaction on Knowledge and Data Engineering, and an ACM Distinguished Speaker. She has served or serves as a program committee member or co-chair of many conferences, including  Demo Program Committee chair of ACM SIGMOD 2018 and General Chair of ACM SIGMOD 2016.

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Moderator

Chinara Aliyeva
Chinara Aliyeva
Chinara is a Data Scientist at PASHA Bank in Baku, Azerbaijan. She is working in digital underwriter and risk engine projects for improved decision making processes.

She obtained her MSc in Computational Finance from University College London in 2016. While studying in there, her main research focus was in analyzing financial data and writing automated trading strategies for optimization by using genetic algorithms.

Prior to this, Chinara had experience in exploratory data analysis using ACL (Audit Command Language) at one of the Big Four companies for detecting any unusual activities in more than 20 organizations.

Chinara promoted application of Computer Science in Finance at the recent female economists forum in Azerbaijan. She is a data enthusiast and in her free time, when not busy with DataCamp projects, she enjoys playing piano.

The Artificial Intelligence: from Algorithms to Ethics

Speakers

Dr. Sabrina Aliyeva
Dr. Sabrina Aliyeva
Sabrina is a Deep Learning Engineer at California-based Synopsys company in the USA. She obtained her PhD in Geophysics from Stanford University in 2018. During her doctoral studies she worked in image processing of large number of high-resolution scanning electron microscope (SEM) images of rocks using machine learning algorithms.

At Synopsys, Sabrina uses her machine learning and AI skills to analyze SEM images of semiconductors and solve issues associated with the manufacturing of single-digit-nanometer (7 nanometers and below) scale circuits. Her current professional research interests also includes computational perception and robotics.

Sabrina has been promoting the role of women in computing. She was a delegate at the 2018 Grace Hopper Celebration, the world’s largest gathering of women technologists, also supported the Azerbaijan ACM Chapter events, such as annual Ada’s Legacy celebration.

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Moderator

Gunay Kazimzade
Gunay Kazimzade
Gunay is a Doctoral Researcher at the Weizenbaum Institute for the Networked Society (Weizenbaum-Institut für die vernetzte Gesellschaft) in Berlin, Germany. She is a PhD candidate in Computer Science at the Technical University of Berlin (Technische Universität Berlin). Her main research directions are gender and racial bias in AI, inclusiveness in AI, and AI-enhanced education.

She is a TEDx speaker, given a speech in more than 100 national and international (non-) academic conferences all over the world. In 2019, Gunay was awarded by the German Informatics Society as the “AI Newcomer” of the year in the Computer Science category. In 2020, she has been awarded the Youth Presidential Award in Azerbaijan.

Gunay has publications presented in major academic conferences as ACM AAAI/AI Ethics and Society Conference, Artificial Intelligence in Education Conference, Ethics of Data Science Conference, etc. Currently, she is also managing a social platform “TechCentrum,” which is aiming for knowledge exchange in the Emerging Tech field for underrepresented communities.

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