Anand Sarwate
Rutgers University-New Brunswick, NJ·Engineering
Wireless networks and artificial intelligence (AI) increasingly depend on each other. AI can help manage complex networks, and AI applications need to run well over wireless links.
- Fields
Engineering
Computer Science
- Topics
wireless networks
artificial intelligence
machine learning
- Grants
- 1 known grant, through Jul 2027
What they work on
- Design a framework for adding AI capabilities to the COSMOS city-scale programmable wireless testbed so researchers can easily access wireless infrastructure and AI tools for wireless data.
- Hold workshops with academic and industry researchers to identify the state of the art and the testbed functions needed for AI-for-wireless and wireless-for-AI research.
- Identify datasets the testbed can generate, demonstrate AI algorithms on them, and produce tutorials and onboarding materials for new researchers.
- Deliver a prioritized list of AI-enabled testbed functions, the tasks to build them, and target application domains such as smart cities and transportation.
More about the research
Researchers in one field often find it hard to use the tools of the other. This planning project designs an experimental testbed that serves both directions, which it calls "AI for Wireless" and "Wireless for AI."
Why it matters
A shared, AI-ready wireless testbed could let researchers develop and evaluate solutions for problems in advanced manufacturing, smart cities and transportation on real city-scale infrastructure. Tutorials and onboarding materials could lower the barrier for AI researchers to work with wireless networks, and for wireless researchers to use AI models.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Wayne Figurelle
Pennsylvania State University, PA·Computer Science
Deploy advanced cyberinfrastructure linking Allegheny College, Harrisburg University of Science and Technology and West Chester University to the PA Science regional research network for high-performance data transmission and sharing.
Ramesh Karri
New York University, NY·Computer Science
Build a web infrastructure of virtual playgrounds where researchers share data, code and tools for studying cyberattacks on smart manufacturing machines and networks.
Hao Xu
University of Nevada-Reno, NV·Engineering·Early-career
Develop a hierarchical game theory (HGT) for large-scale multi-agent systems, such as power management and transportation networks, that maintains optimal efficiency while keeping computing demands manageable as agent numbers grow.
The school
Rutgers University-New Brunswick: 57 labs on PI Pages, $837M a year on research, 713 research doctorates a year.
Reach out
A start for your email. Fill in the brackets.