What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Programming language
His main research concerns Mathematical optimization, Multi-objective optimization, Evolutionary algorithm, Distributed computing and Embedded system.
His Mathematical optimization research incorporates themes from Machine learning and Set.
His work deals with themes such as Scalability, Convergence, Function, Optimization problem and Search algorithm, which intersect with Multi-objective optimization.
His Evolutionary algorithm research incorporates elements of Evolutionary computation and Selection.
His study on Distributed computing also encompasses disciplines like
- Scheduling that intertwine with fields like Design space exploration and Multi-core processor,
- Two-level scheduling and related Fixed-priority pre-emptive scheduling and Earliest deadline first scheduling,
- Fair-share scheduling that connect with fields like Real-time computing.
The Embedded system study combines topics in areas such as Domain, Multiprocessing and Layer.
His most cited work include:
- Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach (5808 citations)
- Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (3952 citations)
- SPEA2: Improving the strength pareto evolutionary algorithm (3517 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Real-time computing, Distributed computing, Embedded system, Scheduling and Wireless sensor network.
His Real-time computing research includes themes of Sensor node and Efficient energy use.
Lothar Thiele combines subjects such as Parallel computing, Dynamic priority scheduling and Fair-share scheduling with his study of Distributed computing.
His Embedded system research integrates issues from Software and Energy harvesting.
His work carried out in the field of Scheduling brings together such families of science as Energy consumption and Multi-core processor.
His Wireless sensor network study combines topics in areas such as Wireless, Key distribution in wireless sensor networks and Wi-Fi array.
He most often published in these fields:
- Real-time computing (21.89%)
- Distributed computing (21.39%)
- Embedded system (18.24%)
What were the highlights of his more recent work (between 2016-2021)?
- Real-time computing (21.89%)
- Wireless (9.78%)
- Wireless sensor network (14.26%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Real-time computing, Wireless, Wireless sensor network, Embedded system and Energy harvesting.
His Real-time computing study combines topics from a wide range of disciplines, such as Software deployment, Data transmission, Tracing, Sensor node and Convolutional neural network.
Lothar Thiele interconnects Testbed, Computer network, Efficient energy use and Cyber-physical system in the investigation of issues within Wireless.
His Cyber-physical system research is multidisciplinary, relying on both Multi-agent system and Distributed computing.
His research investigates the link between Embedded system and topics such as Multi-core processor that cross with problems in Channel capacity.
His biological study spans a wide range of topics, including Energy supply, Mathematical optimization, Renewable energy and Available energy.
Between 2016 and 2021, his most popular works were:
- A Survey on Sensor Calibration in Air Pollution Monitoring Deployments (66 citations)
- Adaptive Real-Time Communication for Wireless Cyber-Physical Systems (47 citations)
- W-Air: Enabling Personal Air Pollution Monitoring on Wearables (33 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Programming language
His primary areas of investigation include Real-time computing, Wireless, Energy harvesting, Computer network and Wireless sensor network.
The study incorporates disciplines such as Wearable computer, Sensor array and Ground truth in addition to Real-time computing.
His research integrates issues of Testbed, Efficient energy use, Edge device and Cyber-physical system in his study of Wireless.
His research investigates the connection between Energy harvesting and topics such as Software that intersect with problems in Dynamic priority scheduling, Field-programmable gate array and Available energy.
Lothar Thiele has researched Wireless sensor network in several fields, including Energy consumption, Data integrity, Convolutional neural network and Embedded system.
The various areas that Lothar Thiele examines in his Energy consumption study include Mathematical optimization, Mobile device, Renewable energy and Statistical model.
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