Reviewer Board
Members of the reviewer board are selected from all Electronics reviewers for regularly providing timely high quality reports on submitted manuscripts. Responsibilities of reviewers are available here.
Members
Interests: cybersecurity; dynamic risk management and cybersecurity awareness; application of AI to cybersecurity; formal information and behavior models for cybersecurity and network and service management
Interests: photonics; laser fiodes; UV-nanoimprint; thin films; device packaging
Interests: solid state physics; superconductivity; phase transition; ferroelectric; electromagnetic waves; shape memory effect; ferromagnetic; nanomanipulation; microwave and millimeter waves; spinwaves; nanogripper; nanoaccembling
Interests: data mining; big data; machine learning; bioinformatics; nosql databases
Interests: environmental sound recognition; temporal feature integration; statistical feature integration; semantic audio analysis; audio classification
Interests: image processing; computer vision; signal processing; digital signal processing; wavelet transform; video processing; new technologies in maritime
Interests: optical fiber communication; optical fiber sensing; microwave photonics
Interests: stability; controllability; observability; open-circuit pump; generic state-space model; photovoltaic systems; Number Systems
Interests: system security; hardware security; IoT; edge computing; network on chip; embedded system; IC design
Interests: Internet of Things; data fusion; machine learning; data analytics; recommendation; deep learning; artificial intelligence
Interests: microwave; millimeter wave theory and technology; pulsed power devices and systems
Interests: optoelectronics; photonics devices; scanning electron microscopy; nanowire; electronics; semiconductor devices; Semiconductor Fabrication
Interests: machine learning; FPGA; DSP; wireless communications; adaptive signal processing; modulation; millimeter-wave; visible light communications
Interests: simulation; power quality; transport systems; traction power network; electric traction systems; electricity recovery; renewable energy and energy harvesting
Interests: automotive electronics; bidirectional dc / ac / dc; digital control; power converter; DC/DC converter
Interests: Broadband Antenna and Arrays; RF/MW/mm-wave components and systems; Balun and Transition; UWB Packaging and Integration; Radar and Microwave Sensors; wireless power transfer; avionics; IoT
Interests: biometrics techniques; image processing; computer graphics; pattern recognition; artificial intelligence
Interests: machine learning; pattern recognition; intelligent transportation systems; millimeter-waves; artificial intelligence; software engineering; web application
Interests: spintronics and magnetism; nanoelectronics; quantum materials; quantum devices; transport measurement; electronic properties
Interests: green aviation; advanced green power grid; resilient smart grid; multi energy system
Interests: hardware security; Physical Unclonable Functions; side-channel analysis; machine learning
Interests: digital twin; built environment; smart building
Interests: conducting polymers; flexible electronics; biosensors; drug delivery
Interests: driver behavior; connected vehicle; automated driving; human machine interaction
Interests: data mining; machine learning; intelligent information recommendation; information retrieval; big data
Interests: magnetic actuation system; micromanipulation; soft robot; microrobot; rehabilitation robot
Interests: music technology; sound engineering; recording techniques; audio mixing; smart speakers; audio circuit design; headphone systems; multi-channel surround sound systems
Interests: network traffic control; signal processing; video delivery; network security
Interests: ocdma codec and security; wired and wireless communication systems; error correction codes; digital cameras; video and audio processing hardware; biomedical engineering communications; neural and fuzzy
Interests: wearable computing; ubiquitous computing; Activity recognition; context awareness; machine learning; engineering education