Additional information about April 11 Workshop

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ACM Chicago

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Mar 23, 2025, 9:21:41 PMMar 23
to Chicago Chapter ACM

Dear ACM Chicago Chapter members,

I am contacting you to share additional information about the Workshop on Bridging Diverse Connections through Mobile Social Networking on April 8, 2025. This workshop will feature an ACM Distinguished Speaker, Anura Jayasumana, a professor of Electrical & Computer Engineering, and Computer Science at Colorado State University.

Finding Emergent Patterns in Dynamic Social and Behavioral Data:
Experience with Violent Extremist Radicalization Trajectories

Anura Jayasumana
Professor, Electrical & Computer Engineering, and Computer Science
Colorado State University
Detecting latent or emerging patterns in dynamic networks is crucial across multiple domains, including homeland security, consumer analytics, behavioral health, and social computing. However, dynamic network data presents unique challenges in collection, mining, analytics and processing. We will present INSiGHT (Investigative Search for Graph Trajectories), a comprehensive framework for  detecting emergent patterns of behaviors in knowledge networks containing social and behavioral data, with a focus on  detection of domestic radicalization. To  account for recurring behavioral indicators and the recency of behaviors as the imminence of a threat, e.g.,  INSiGHT provides parameterized methods to score multiple occurrences of  indicators and to dampen the significance of indicators over time. Recognizing that radicalization can occur within small groups or collective plots, INSiGHT employs a non-combinatorial neighborhood matching technique that enables analysts to identify clusters of individuals potentially engaged in conspiracies. Our approach combines advanced natural language processing (NLP) and supervised machine learning models to classify textual data for radicalization indicators. Additionally, we have developed PINGS (Procedures for Investigative Graph Search), a specialized graph database library tailored for investigative search in social network mining.  Finally, we will explore the potential of emerging Graph Neural Networks (GNNs) and Graph Embedded Neural Networks (GENNs) to pave the way for more advanced analytical capabilities in dynamic network analysis.

Speaker:

Anura P. Jayasumana is a Professor in Electrical & Computer Engineering at Colorado State University where he holds a joint appointment in Computer Science. He is the Director of the Information Science and Technology Center (ISTeC) at CSU, a university-wide organization for promoting research, teaching and service in information sciences and technologies. He received a Ph.D. and M.S. in Electrical Engineering from Michigan State University and B.Sc. in Electronic and Telecommunications Engineering with First Class Honors from University of Moratuwa, Sri Lanka. His current research interests include mining knowledge networks  for radicalization detection, Internet of Things, machine learning techniques for graphs, and synthetic data generation for machine learning. His research has been funded by DARPA, NSF, DoJ/NIJ, and industry. He served as a Distinguished Lecturer of the IEEE Communications Society (2014-17), and is currently an ACM Distinguished Speaker. He has served extensively as a consultant to companies ranging from startups to Fortune 100.

We hope to see you on April 11, in person or virtually!

Hettie Dombrovskaya

ACM Chicago Chapter Communications Chair


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