What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Programming language
- Statistics
George J. Pappas mainly investigates Hybrid system, Control theory, Mobile robot, Control engineering and Distributed computing.
His Hybrid system research is multidisciplinary, incorporating perspectives in Algorithm, Decidability, Reachability, Bisimulation and Robustness.
His Control theory study integrates concerns from other disciplines, such as Graph theory and Flocking.
The concepts of his Control engineering study are interwoven with issues in Robot and Motion planning.
His research in Motion planning intersects with topics in Linear temporal logic and Temporal logic.
His Distributed computing research also works with subjects such as
- Telecommunications network that intertwine with fields like Wireless network,
- Motion control together with Automatic control.
His most cited work include:
- Flocking in Fixed and Switching Networks (1216 citations)
- Conflict resolution for air traffic management: a study in multiagent hybrid systems (869 citations)
- Discrete abstractions of hybrid systems (750 citations)
What are the main themes of his work throughout his whole career to date?
George J. Pappas mostly deals with Mathematical optimization, Control theory, Distributed computing, Hybrid system and Robot.
The Mathematical optimization study combines topics in areas such as Time complexity, Resource allocation, Robustness and Convex optimization.
His Distributed computing study combines topics in areas such as Wireless, Wireless network, Scheduling and Telecommunications network.
The Hybrid system study which covers Reachability that intersects with Discrete mathematics.
His Robot study frequently links to adjacent areas such as Control engineering.
While the research belongs to areas of Linear system, George J. Pappas spends his time largely on the problem of Algorithm, intersecting his research to questions surrounding Kalman filter.
He most often published in these fields:
- Mathematical optimization (24.02%)
- Control theory (18.13%)
- Distributed computing (15.71%)
What were the highlights of his more recent work (between 2018-2021)?
- Mathematical optimization (24.02%)
- Robustness (6.50%)
- Distributed computing (15.71%)
In recent papers he was focusing on the following fields of study:
George J. Pappas spends much of his time researching Mathematical optimization, Robustness, Distributed computing, Control theory and Robot.
His Mathematical optimization research incorporates themes from Control system, Artificial neural network, Stability, Markov decision process and Upper and lower bounds.
George J. Pappas has included themes like Wireless, Task and Temporal logic in his Distributed computing study.
Control theory is a subfield of Control theory that George J. Pappas explores.
His research in Control theory tackles topics such as Affine transformation which are related to areas like Nonlinear system.
His Robot research integrates issues from Linear temporal logic and Trajectory.
Between 2018 and 2021, his most popular works were:
- Verisig: verifying safety properties of hybrid systems with neural network controllers (80 citations)
- Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks (73 citations)
- Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks (71 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- Statistics
The scientist’s investigation covers issues in Robustness, Mathematical optimization, Algorithm, Artificial neural network and Kalman filter.
Within one scientific family, George J. Pappas focuses on topics pertaining to Quadratic equation under Robustness, and may sometimes address concerns connected to Lipschitz continuity, MNIST database and Convex optimization.
His Mathematical optimization research includes themes of Stability, Probabilistic logic, Markov decision process and Model predictive control.
He interconnects System model, Filter, Communication channel, Bounded function and Actuator in the investigation of issues within Algorithm.
His study in Reachability is interdisciplinary in nature, drawing from both Decidability, Hybrid system and Sigmoid function.
His work carried out in the field of Temporal logic brings together such families of science as Automaton and Motion planning.
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