- Dr. Paolo Braca. Multi-domain situational awareness: From the underwater to the space domain to improve maritime surveillance
- Prof. Amir Hussain. Towards Transformative Multimodal Hearing-Assistive Technologies: Challenges and Opportunities
- Dr. Bartlett Russell. Engineering Virtuous AI: DevEthOps for achieving responsible human oversight of AI-enabled systems
Keynote: Multi-domain situational awareness: From the underwater to the space domain to improve maritime surveillanceTime: Monday, 6th June
Dr. Paolo Braca
Abstract: Modern surveillance systems require to integrate coherently all available sources of information to compose an operational picture that is as complete as possible. While in the past surveillance had suffered from a lack of data, current technology transformed the problem into one of an overabundance of information, leading to an extreme need for automated analysis. Indeed, current surveillance sensors generate volumes of data that would have been unthinkable only a few years ago. Therefore, all the processing, algorithm calibration, parameter tuning, etc., need to be executed as much automatically as possible.
This also requires novel paradigms for algorithmic design. In this respect, Artificial Intelligence (AI) and Data Fusion (DF) offer an unprecedented opportunity to strengthen the technological edge; however, the risk is to elevate, at the same time, the speed of the threats we face. Indeed, the surveillance task is complicated by the diversification of threats, whose nature and origin is most often unknown. AI and DF techniques have the potential to identify patterns emerging within these very large datasets, fused from a variety of sources and generated from monitoring wide areas on a day-to-day basis, and use the learned knowledge to anticipate the possible evolution(s) of the operational picture.
The presentation will focus on both real-world scenarios and theoretical models, spanning from the underwater to the space domain, including the analysis of scenarios with heterogeneous surveillance sensors (such as radar, sonar and satellite). Finally, the opportunity will be taken to present a brief overview of the transitioning of some of these techniques for COVID-19 epidemiological curve monitoring and forecasting.
Bio: Paolo Braca (Senior Member, IEEE) received the Laurea degree (summa cum laude) in electronic engineering and the Ph.D. degree (Hons.) in information engineering from the University of Salerno, Italy, in 2006 and 2010, respectively. In 2009, he was a Visiting Scholar with the ECE Department, University of Connecticut. From 2010 to 2011, he was a Postdoctoral Associate with the University of Salerno. In 2011, he joined the NATO Science and Technology Organization (STO) Centre for Maritime Research and Experimentation (CMRE), where he is currently a Senior Scientist and a Project Manager. Furthermore, he led a number of research projects funded by the European Commission, by the U.S. Office of Naval Research (ONR), and other national and international institutions. He conducts research in the general area of machine learning and statistical signal processing with emphasis on detection and estimation theory, wireless sensor network, multi-agent algorithms, target tracking and data fusion, adaptation and learning over graphs, radar (sonar) signal processing, and machine learning. He has coauthored more than 200 publications in international scientific journals, conference proceedings, and NATO technical reports. He was awarded with the National Scientific Qualification to function as Associate and Full Professor in Italian Universities, in 2017 and 2018, respectively. . In 2019, he was appointed as Adjunct Professor with the University of Cassino, Italy. He is in the technical committee of the major international conferences in the field of signal processing and data fusion. He was a recipient of the Best Student Paper Award (first runner-up) at FUSION conference in 2009, and the NATO Science and Technology Organization (STO) Scientific Achievement Award (SAA) 2017 for its contribution to the ‘‘Development and Demonstration of Networked Autonomous ASW’’. He coauthored the paper received the Best Paper Award (first runner-up) at the SSPD conference in 2019. He received the IET 2019 Premium Award for Best Paper published on the IET Radar Sonar & Navigation. He was also a recipient of the NATO STO SAA, in 2020, as a Team Leader for the ‘‘Advances in Artificial Intelligence and Information Fusion for Maritime Situational Awareness.’’ He coauthored the article receiving the Young Scientist Contest Award at the Signal Processing Symposium 2021. He serves as Associate Editor for the IEEE Transactions on Aerospace and Electronic Systems, ISIF Journal of Advances in Information Fusion, and IET Radar, Sonar and Navigation. In 2017, he was a Lead Guest Editor of the Special Issue ‘‘Sonar Multi-Sensor Applications and Techniques’’ in IET Radar, Sonar and Navigation. He served as Associate Editor for the IEEE Signal Processing Magazine, IEEE Transactions on Signal Processing, and EURASIP Journal Advances on Signal Processing.
Keynote: Towards Transformative Multimodal Hearing-Assistive Technologies: Challenges and OpportunitiesTime: To be announced
Prof. Amir Hussain
Bio: Amir Hussain received his B.Eng (highest 1st Class Honours with distinction) and Ph.D degrees, from the University of Strathclyde in Glasgow, U.K., in 1992 and 1997, respectively. He is currently founding Director of the Centre for AI and Data Science at Edinburgh Napier University, UK. His research interests are cross-disciplinary and aimed at developing cognitive data science and trustworthy AI technologies to engineer tomorrow's smart and secure healthcare and industrial systems and applications. He has (co)authored three international patents and around 500 publications, including over 200 journal papers and 20 Books/monographs, and supervised over 35 PhD students. He has led major national and international projects, including the current $4M COG-MHEAR programme grant (as Lead PI) funded by the UK EPSRC Transformative Healthcare Technologies 2050 Call. He is founding Chief Editor of Springer's Cognitive Computation journal (IF: 5.18) and the Springer Book Series on Socio-Affective Computing. He has served on the editorial boards of various other top journals, including the IEEE Transactions on Neural Networks and Learning Systems, Information Fusion (Elsevier), and IEEE Transactions on Emerging Topics in Computational Intelligence. Amongst other distinguished roles, he is currently elected Executive Committee member of the UK Computing Research Committee (the national expert panel of the IET and the BCS for UK computing research), General Chair of IEEE WCCI 2020 (the world’s largest IEEE technical event in computational intelligence, comprising IJCNN, IEEE CEC and FUZZ-IEEE), and Chair of the IEEE UK and Ireland Chapter of the IEEE Industry Applications Society.
Keynote: Engineering Virtuous AI: DevEthOps for achieving responsible human oversight of AI-enabled systemsTime: Wednesday, June 8th
Dr. Bartlett Russell
Abstract: Dr. Russell will discuss challenges and opportunities regarding the responsible human oversight and operation of autonomous systems in Defense contexts. Her talk will step through examples of concrete, empirical progress towards making the development of legally, morally, and ethically (LME) compliant autonomous and AI-enabled systems. This talk will provide evidence that challenges commonly held assumptions about the capacity of autonomous and AI-enabled systems to extend a human operator’s capacity to act virtuously, will detail the benefits of making LME considerations part of the entire system-development cycle, and will from a cognitive perspective define some of the remaining research challenges that currently limit responsible human oversight of such systems.
Bio: Dr. Bartlett Russell joined DARPA as a program manager in April of 2019. Her work focuses on understanding the variability of human cognitive and social behavior to enable the decision-maker, improve analytics, and generate autonomous and AI systems that enable human adaptability. She manages programs in both the Defense Sciences Office (DSO) and Tactical Technologies Office (TTO) including Habitus, Enhancing Design for Graceful Extensibility (EDGE), Urban Reconnaissance through Supervised Autonomy (URSA), Virtuous AI, and Non-Escalatory Engagement to reduce Dimensionality (NEED) programs. Prior to joining DARPA, Russell was a senior program manager and lead of the Human Systems and Autonomy research area in Lockheed Martin’s Advanced Technology Laboratories. Earlier in her career she conducted research examining the effect of stress on cognition in the laboratory and in military operators, and spent more than 10 years examining the implications of biotechnological developments on military competitions. Russell received her doctorate in neuroscience and cognitive science from the University of Maryland, College Park; her master’s degree in security studies from Georgetown University’s Walsh School of Foreign Service; and her bachelor’s degree from Northwestern University.