The Swarm Intelligence Lab at Rutgers University invites applications for one fully funded Ph.D. position in the Department of Electrical and Computer Engineering to work on data-driven modeling of fish … Read More
Collective intermittent exploration in fish schools is mediated by visual cues Proud of my student, Deze Liu, for helping uncover new insights into the sensory and collective foundations of animal … Read More
Excited to share that I have received the NSF CAREER Award for my project “Understanding and Analyzing the Feedback Principles Underlying Visuomotor Control Dynamics in Fish Schools.” 🐟🤖 This award … Read More
Kudos to my students Maya Zarcone and Lavanya Rao for their great work presenting at the Aresty Symposium! Proud of your efforts on biomimetic control of robotic fish!
🚦 Paper Alert! Check out our latest research on traffic congestion modeling and optimization! We developed a framework based on advection dynamics and discontinuous ODEs to model traffic flow at … Read More
🎉 We had a fantastic time at Rutgers Day 2025, showcasing the amazing work happening in our ECE department! Our students, faculty, and staff came together to share hands-on demos, … Read More
Aresty Research Assistant Project Title: Computational modeling of opinion dynamics in social networks Project Summary: For centuries, human societies have been shaped by the spread of opinions. From political movements … Read More
Project Summary Animal collectives, such as fish schools, bird flocks, and mammal herds, have long fascinated scientists for their extraordinary behaviors. These groups demonstrate remarkable strategies to maintain cohesion, optimize … Read More
Abstract The dynamics unfolding during predator–prey interactions encapsulate a critical aspect of the natural world, dictating the survival and evolutionary trajectories of animal species. Underlying these complex dynamics, sensory-motor control … Read More
Data-driven Systems and Controls: 16:332:514:01 Course instructor: Daniel Burbano (email address: daniel.burbano@rutgers.edu) Learning objectives: This course is designed to provide students with comprehensive knowledge of various data-driven techniques for addressing … Read More