ACSOS 2021
Mon 27 September - Fri 1 October 2021 Washington, DC, United States
ACSOS 2021 (series) /

Keynotes

We are proud to include three high-profile keynotes into our program:

Dilma Da Silva (Texas A&M University) — Autonomic Stream Processing at Scale

Abstract: With the proliferation of Internet-of-Things devices that continuously generate data as input for distributed applications, current frameworks for streaming computing fail to meet the scalability and latency requirements of upcoming applications such as autonomous driving. In this talk, we discuss current challenges and present the design of a scalable and highly adaptive edge stream processing engine that enables fast processing of a large number of concurrent running IoT applications’ queries in dynamic edge environments.

Biography: Dilma Da Silva is a Professor and Holder of the Ford Design Professorship II at the Department of Computer Science and Engineering at Texas A&M University. Her previous roles include Department Head (2014-2019), Associate Dean (2019-2020), Interim Director of the Texas A&M Institute of Data Science, and Interim Director of the Texas A&M Cybersecurity Center. Her primary research interests are distributed systems, operating systems, and computer science education. She currently has projects on cybersecurity, data sciences, and autonomous vehicles. Before joining Texas A&M, she worked at Qualcomm Research (2012-2014), IBM Research (2000-2012), and the University of Sao Paulo (1996-2000). Dilma is an ACM Distinguished Scientist, a member of the board of CRA-W (Computer Research Association’s Committee on the Status of Women in Computing Research) and a co-founder of the Latinas in Computing group. Recent leadership roles include Program Co-chair for IEEE ICDCS’21, ACM Middleware’20, Supercomputing’19, and IPDPS’19. Dilma received her doctoral degree in computer science from Georgia Tech in 1997 and her bachelor’s and master’s degrees from the University of São Paulo, Brazil. She is passionate about enabling the next generation of talent.

Jean-Louis Deneubourg (Free University of Brussels) — Aggregation on an Artificial Patchy Environment

Abstract: The advances in robotics and sensors/actuators technologies opened the way for artefacts able to interact with animals and their societies characterized by large networks of feedbacks. These artefacts introduce new feedbacks that can affect the society dynamics such as in the case of the aggregation in a patchy environment : gregarious individuals having the choice to settle on patches that are artificial agents able to communicate between themselves and to interact with the individuals through the modification of their abiotic characteristics. These self-organized systems can be modelled by the same generic models that serve to identify the behavior of the artificial agents optimizing the population management and/or leading to diverse dynamics.

Biography: Jean-Louis Deneubourg received the degree in physical chemistry and the Ph.D. degree from the Université Libre de Bruxelles (ULB), Brussels, Belgium, in 1979 for his seminal work on mathematical models of animal and human behavior. He is a Senior Researcher at the Centre for Nonlinear Phenomena and Complex Systems and a Professor at the Department of Animal Biology, ULB, where he teaches behavioral ecology and behavior modeling. He also works for the Belgian National Science Foundation (FNRS). Jean-Louis is an internationally recognized expert on complex systems dynamics and self-organization in collective phenomena, both in animal societies and artificial systems.

Manish Parashar (NSF & The University of Utah) — Advancing Science at Speed and Scale: Innovation, Translation & Advanced Cyberinfrastructure

Abstract: Twenty-first century science and engineering (S&E) is being transformed by the increasing availability and scales of computation and data and the national cyberinfrastructure (CI) ecosystem has become a key catalyst for discovery and innovation. As the US National Science Foundation (NSF) moves on this vision for advancing science at speed and scale, an agile, integrated, robust, trustworthy and sustainable CI ecosystem that can drive new thinking and enable transformative discoveries. In this talk, I will present NSF’s strategy for realizing such a CI ecosystem and associated challenges and opportunities.

Biography: Manish is Office Director of the Office of Advanced Cyberinfrastructure at NSF. He joins NSF as an IPA from the University of Utah where he is the Director of the Scientific Computing and Imaging (SCI) Institute, Chair in Computational Science and Engineering, and Professor in the School of Computing. His research interests are in the broad areas of Parallel and Distributed Computing and Computational and Data-Enabled Science and Engineering. Manish is Fellow of AAAS, ACM, and IEEE/IEEE Computer Society. For more information, please visit http://manishparashar.org.