What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Computer network
- Telecommunications
Kristofer S. J. Pister mainly investigates Wireless sensor network, Electrical engineering, Electronic engineering, Intelligent sensor and Computer network.
His research investigates the connection with Wireless sensor network and areas like Node which intersect with concerns in Mathematical optimization, Broadcasting and Topology.
His Optical communication study, which is part of a larger body of work in Electronic engineering, is frequently linked to Volume, bridging the gap between disciplines.
The concepts of his Intelligent sensor study are interwoven with issues in Sensor node, Key distribution in wireless sensor networks and Embedded system.
His research integrates issues of nesC and Byte in his study of Embedded system.
His Computer network course of study focuses on Telecommunications and Delay-tolerant networking.
His most cited work include:
- System architecture directions for networked sensors (3184 citations)
- Next century challenges: mobile networking for “Smart Dust” (1542 citations)
- Convex position estimation in wireless sensor networks (1536 citations)
What are the main themes of his work throughout his whole career to date?
Kristofer S. J. Pister spends much of his time researching Electrical engineering, Wireless sensor network, Electronic engineering, Computer network and Actuator.
His study looks at the intersection of Wireless sensor network and topics like Node with Transmission.
Kristofer S. J. Pister has included themes like Sensor node and Computer hardware in his Electronic engineering study.
The various areas that Kristofer S. J. Pister examines in his Computer network study include Digraph and Wireless network, WirelessHART.
His Actuator research incorporates elements of Robot and Microelectromechanical systems.
His Microelectromechanical systems research is multidisciplinary, incorporating elements of Mechanical engineering and Silicon on insulator.
He most often published in these fields:
- Electrical engineering (25.65%)
- Wireless sensor network (20.42%)
- Electronic engineering (19.37%)
What were the highlights of his more recent work (between 2017-2021)?
- Robot (12.04%)
- Electrical engineering (25.65%)
- Control theory (5.76%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Robot, Electrical engineering, Control theory, Wireless and Chip.
His Antenna, Ring oscillator and Actuator study in the realm of Electrical engineering connects with subjects such as Frequency-shift keying.
His research in Wireless intersects with topics in Wireless sensor network and Base station.
His Wireless sensor network study is concerned with the field of Computer network as a whole.
The concepts of his Chip study are interwoven with issues in Transmitter, CMOS, Transceiver and Integrated circuit.
His work in CMOS addresses issues such as Work, which are connected to fields such as Optoelectronics and Microelectromechanical systems.
Between 2017 and 2021, his most popular works were:
- Low-Level Control of a Quadrotor With Deep Model-Based Reinforcement Learning (31 citations)
- 6TiSCH: Industrial Performance for IPv6 Internet-of-Things Networks (24 citations)
- Toward Controlled Flight of the Ionocraft: A Flying Microrobot Using Electrohydrodynamic Thrust With Onboard Sensing and No Moving Parts (22 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Computer network
- Artificial intelligence
Kristofer S. J. Pister focuses on Robot, Control theory, Silicon, Optoelectronics and Control engineering.
His work focuses on many connections between Control theory and other disciplines, such as Task, that overlap with his field of interest in Process control and Reduction.
His research integrates issues of Electrical conductor, Electrode array and Microelectromechanical systems in his study of Silicon.
His Microelectromechanical systems research is multidisciplinary, incorporating perspectives in Mechanical engineering, Silicon on insulator, Mechanical energy and Layer.
Optoelectronics and Substrate are frequently intertwined in his study.
Kristofer S. J. Pister combines subjects such as Automation, Artificial neural network, Heuristic, Firmware and Reinforcement learning with his study of Control engineering.
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