What is he best known for?
The fields of study he is best known for:
- Statistics
- Operating system
- Artificial intelligence
Alexandre M. Bayen mainly investigates Global Positioning System, Simulation, Partial differential equation, Real-time computing and Traffic flow.
He combines subjects such as Identifier, Real-time data, Baseline and Floating car data with his study of Global Positioning System.
His Simulation research includes elements of Flow, Distributed computing, Benchmarking, Inference and Hybrid system.
His work deals with themes such as Scheme, Microscopic traffic flow model, Boundary value problem and Hamilton–Jacobi equation, which intersect with Partial differential equation.
His studies in Real-time computing integrate themes in fields like Kalman filter, Path, Cellular network and Mobile device.
Alexandre M. Bayen has researched Traffic flow in several fields, including Control system, Artificial neural network and National Airspace System.
His most cited work include:
- A time-dependent Hamilton-Jacobi formulation of reachable sets for continuous dynamic games (760 citations)
- Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment (673 citations)
- Virtual trip lines for distributed privacy-preserving traffic monitoring (336 citations)
What are the main themes of his work throughout his whole career to date?
Alexandre M. Bayen mainly focuses on Mathematical optimization, Control theory, Partial differential equation, Traffic flow and Applied mathematics.
In his study, which falls under the umbrella issue of Mathematical optimization, Queue is strongly linked to Queueing theory.
His Control theory course of study focuses on Flow and Simulation.
Alexandre M. Bayen has researched Partial differential equation in several fields, including Exponential stability, Boundary value problem and Hamilton–Jacobi equation.
His Boundary value problem research integrates issues from Conservation law and Godunov's scheme.
His Traffic flow research focuses on subjects like Real-time computing, which are linked to Kalman filter.
He most often published in these fields:
- Mathematical optimization (21.01%)
- Control theory (15.95%)
- Partial differential equation (13.16%)
What were the highlights of his more recent work (between 2017-2021)?
- Reinforcement learning (6.84%)
- Mathematical optimization (21.01%)
- Control theory (15.95%)
In recent papers he was focusing on the following fields of study:
Reinforcement learning, Mathematical optimization, Control theory, Traffic flow and Nonlinear system are his primary areas of study.
The study incorporates disciplines such as Artificial neural network, Control theory, Real-time computing and Robustness in addition to Reinforcement learning.
Many of his studies on Mathematical optimization apply to Routing as well.
The concepts of his Control theory study are interwoven with issues in Control and Bounded function.
His study on Traffic flow is mostly dedicated to connecting different topics, such as Control engineering.
His work deals with themes such as Hyperbolic partial differential equation, Partial differential equation, Applied mathematics and Observer, which intersect with Exponential stability.
Between 2017 and 2021, his most popular works were:
- Expert Level Control of Ramp Metering Based on Multi-Task Deep Reinforcement Learning (63 citations)
- Occupancy Detection via Environmental Sensing (59 citations)
- Stabilizing Traffic with Autonomous Vehicles (51 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Operating system
- Artificial intelligence
Alexandre M. Bayen mainly investigates Reinforcement learning, Mathematical optimization, Control theory, Routing and Control theory.
His Reinforcement learning study combines topics in areas such as Transfer of learning, Real-time computing and Baseline.
His Mathematical optimization research is multidisciplinary, incorporating perspectives in Nonlinear programming and Convex analysis.
The Control theory study which covers Cyber-physical system that intersects with Control system, Curse of dimensionality, Traffic flow, Artificial neural network and Control engineering.
Alexandre M. Bayen interconnects Game theoretic, Shortest path problem, Web application, Global Positioning System and Traffic congestion in the investigation of issues within Routing.
His Control theory study combines topics from a wide range of disciplines, such as Energy and Constraint.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
