7 citations · 20 across the 9 of their papers we have counts for
10 papers
SuperNeuroMAT: An Efficient Matrix-based Simulator for Spiking Neural Networks
Prasanna Date, Kevin Zhu, Shruti Kulkarni +12
Spiking neural networks (SNNs) offer a promising pathway to energy-efficient AI and brain-inspired computing. However, their widespread adoption is hindered by a lack of fast, acce…
Agent-Based Modeling and Deep Neural Networks for Establishing Digital Twins of Secure Facilities under Sensing Restrictions
Chathika Gunaratne, Mason Stott, Debraj De +2
Digital twin technologies help practitioners simulate, monitor, and predict undesirable outcomes in-silico, while avoiding the cost and risks of conducting live simulation exercise…
SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing
Prasanna Date, Chathika Gunaratne, Shruti Kulkarni +3
In many neuromorphic workflows, simulators play a vital role for important tasks such as training spiking neural networks (SNNs), running neuroscience simulations, and designing, i…
Evaluating Efficacy of Indoor Non-Pharmaceutical Interventions against COVID-19 Outbreaks with a Coupled Spatial-SIR Agent-Based Simulation Framework
Chathika Gunaratne, Rene Reyes, Erik Hemberg +1
Contagious respiratory diseases, such as COVID-19, depend on sufficiently prolonged exposures for the successful transmission of the underlying pathogen. It is important for organi…
Exogenous Shocks Lead to Increased Responsiveness and Shifts in Sentimental Resilience in Online Discussions
Chathika Gunaratne, Subash K. Ray, Caroline Lourenco Alves +1
The effects of real-world events on the dynamics and sentiment expressed through online conversations is not entirely understood. In particular, the dynamics of highly polarized co…
Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks
Ivan Garibay, Toktam A. Oghaz, Niloofar Yousefi +23
This paper explains the design of a social network analysis framework, developed under DARPA's SocialSim program, with novel architecture that models human emotional, cognitive and…
The Effects of Information Overload on Online Conversation Dynamics
Chathika Gunaratne, Nisha Baral, William Rand +3
The inhibiting effects of information overload on the behavior of online social media users, can affect the population-level characteristics of information dissemination through on…
NL4Py: Agent-Based Modeling in Python with Parallelizable NetLogo Workspaces
Chathika Gunaratne, Ivan Garibay
External control of agent-based models is vital for complex adaptive systems research. Often these experiments require vast numbers of simulation runs and are computationally expen…
Evolutionary model discovery of causal factors behind the socio-agricultural behavior of the ancestral Pueblo
Chathika Gunaratne, Ivan Garibay, Nguyen Dang
Agent-based modeling of artificial societies offers a platform to test human-interpretable, causal explanations of human behavior that generate society-scale phenomena. However, pa…
Evaluation of Zika Vector Control Strategies Using Agent-Based Modeling
Chathika Gunaratne, Mustafa Ilhan Akbas, Ivan Garibay +1
Aedes Aegypti is the vector of several deadly diseases, including Zika. Effective and sustainable vector control measures must be deployed to keep A. aegypti numbers under control.…