What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Computer network
His scientific interests lie mostly in Control theory, Control engineering, Sliding mode control, Control system and Variable structure control.
His Control theory study frequently draws connections to other fields, such as Decentralised system.
He has researched Control engineering in several fields, including Control, Real-time computing, Global Positioning System and Trajectory.
His Sliding mode control research is multidisciplinary, relying on both Euler angles, State variable and Discrete system.
His research integrates issues of Telecommunications network, Linear system and Communications system in his study of Control system.
His work carried out in the field of Variable structure control brings together such families of science as Manifold, Sampled data systems and Algorithm.
His most cited work include:
- A control engineer's guide to sliding mode control (1693 citations)
- Urban multi-hop broadcast protocol for inter-vehicle communication systems (588 citations)
- ABS control using optimum search via sliding modes (398 citations)
What are the main themes of his work throughout his whole career to date?
Umit Ozguner focuses on Control theory, Control engineering, Control theory, Control system and Sliding mode control.
His Control theory study frequently links to adjacent areas such as Decentralised system.
His Control engineering study combines topics in areas such as Control, Actuator, State and Mobile robot.
Control theory is closely attributed to Finite-state machine in his research.
His work on Sliding mode control is being expanded to include thematically relevant topics such as State observer.
His Robust control study results in a more complete grasp of Robustness.
He most often published in these fields:
- Control theory (48.15%)
- Control engineering (25.15%)
- Control theory (17.54%)
What were the highlights of his more recent work (between 2012-2021)?
- Artificial intelligence (10.53%)
- Control theory (48.15%)
- Control theory (17.54%)
In recent papers he was focusing on the following fields of study:
Umit Ozguner spends much of his time researching Artificial intelligence, Control theory, Control theory, Control engineering and Pedestrian.
The various areas that he examines in his Artificial intelligence study include Collision, Machine learning, Computer vision and Code.
The study incorporates disciplines such as Quadratic programming, Mathematical optimization and Distributed model predictive control in addition to Control theory.
His primary area of study in Control theory is in the field of Sliding mode control.
Umit Ozguner has included themes like Control system, Control, Cruise control and Cyber-physical system in his Control engineering study.
He combines subjects such as Motion, Simulation and Motion control with his study of Pedestrian.
Between 2012 and 2021, his most popular works were:
- Cloud-Based Velocity Profile Optimization for Everyday Driving: A Dynamic-Programming-Based Solution (137 citations)
- Lane Change and Merge Maneuvers for Connected and Automated Vehicles: A Survey (100 citations)
- A Framework for Estimating Driver Decisions Near Intersections (75 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Computer network
Umit Ozguner mainly focuses on Control theory, Vehicle dynamics, Simulation, Control engineering and Trajectory.
His Control theory study frequently links to other fields, such as Fuel efficiency.
His Vehicle dynamics research incorporates elements of Control, Real-time computing, Traffic simulation and Hidden Markov model.
His work in Simulation addresses subjects such as Pedestrian, which are connected to disciplines such as Motion planning and Shopping mall.
His research in Control engineering intersects with topics in Standardization and State system.
His studies in Trajectory integrate themes in fields like Orientation, Motion and Risk assessment.
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