Faculty

Institution

Unit

Venue

Xingang Fu

Assistant Professor

University of Nevada, Reno

Affiliations

College of Engineering

Electrical & Biomedical Engineering

Graduate School

Xingang Fu is currently serving as a College Of Engineering Assistant Professor at University of Nevada, Reno.

Honors

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Experiences

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Education

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Xingang Fu

University of Nevada, Reno

Assistant Professor

You can click a keyword to filter the displayed items

electrical engineering power electronics computer science control systems systems engineering machine learning automatic control artificial intelligence engineering energy control energy management field programmable gate array power engineering power system control recurrent neural networks deep learning motor control optoelectronics renewable energy control optimization electronics motor drives vector control hardware acceleration lcl filters solar inverter control system technology human-computer interaction energy research thermal engineering mobile computing dynamic programming power control intelligent control conventional control methods single-phase grid-connected converters artificial neural network grid-connected converter artificial neural networks neural network controllers high performance computer sustainable development cybernetics energy conversion sustainable energy technologies energy strategies quantitative science studies sustainable technologies electric grid integration electrical drive automotive electronics control science industrial electronics adaptive control power system analysis face detection smart systems wavelet theory gesture recognition linear control energy generation power generation energy management systems modulation techniques power semiconductor devices gan power device aluminum gallium nitride control design intermittently connected device grid integration levenberg-marquardt algorithm optimal control neural-network vector controller induction motor drive approximate dynamic programming lcl-filter-based grid-connected converters technology industrial artificial intelligence intelligent computing multilevel inverters neural computation electrical engineering technology computational intelligence neural network (machine learning) advanced intelligent system

Notable Scholarly Works

Notable Federal Grants

Collaborators

32-Bit Fixed and Floating-Point Hardware Implementation for Enhanced Inverter Control: Leveraging Fpga in Recurrent Neural Network Applications. IEEE Access (2024)

Chanakya HinguXingang FuPraneeth VangalaRamkrishna MishanPoria Fajri

recurrent neural networkscomputer engineeringfloating-point hardware implementationleveraging fpgafield programmable gate arrayelectrical engineeringenhanced inverter control

Accelerating RNN Controllers With Parallel Computing and Weight Dropout Techniques. Lecture notes in computer science (2024)

Maxwell SamKushal Kalyan Devalmapeta SurendranathXingang FuLetu Qingge

rnn controllerscomputer scienceparallel computing

Accelerating the Neural Network Controller Embedded Implementation on Fpga With Novel Dropout Techniques for a Solar Inverter. Pervasive and Mobile Computing (2024)

Jordan SturtzKushal Kalyan Devalampeta SurendranathMaxwell SamXingang FuChanakya Dinesh HinguRajab ChallooLetu Qingge

embedded systemsmobile computingpervasive computingneural network controllerfpga designcomputer engineeringfield programmable gate arraynovel dropout techniquesneural network (machine learning)solar inverter

Assessing Power Profile Characteristics in Solar Pv-Storage Integrated Electricity Markets: A Quantitative Study. e-Prime - Advances in Electrical Engineering Electronics and Energy (2024)

Ramkrishna MishanMatthew S. EganXingang FuChanakya HinguPoria FajriMohammed Ben-Idris

quantitative studyquantitative science studiespower profile characteristicselectrical engineeringenergy storage

Exploring Dynamic P-Q Capability and Abnormal Operations of Inverter-Based Resources. IEEE Journal of Emerging and Selected Topics in Power Electronics (2024)

Himadry Shekhar DasShuhui LiBing LuJing WangShahinur RahmanXingang Fu

power engineeringinverter-based resourcesdynamic capabilitiespower electronicselectrical engineeringabnormal operationsenergy managementpower management

Improved Fault Detection Using Shifting Window Data Augmentation of Induction Motor Current Signals. Energies (2024)

Robert WrightPoria FajriXingang FuArash Asrari

systems engineeringcontrol systemsreliability engineeringelectrical engineeringfault detectionwindow data augmentationdata augmentationsystem safetyengineering

Power-Optimized Field-Programmable Gate Array Implementation of Neural Activation Functions Using Continued Fractions for AI/ML Workloads. Electronics (2024)

Chanakya HinguXingang FuTaofiki SaliyuRui HuRamkrishna Mishan

biomedical engineeringartificial intelligenceelectronicsneural activation functionsfield programmable gate array

Accelerating Fpga Implementation of Neural Network Controllers via 32-Bit Fixed-Point Design for Real-Time Control. 2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) (2023)

Chanakya HinguXingang FuRajab ChallooJiang LuXiaokun YangLetu Qingge

control systemscomputer engineeringreal-time controlhardware accelerationneural network controllersfield programmable gate arrayfpga implementation

A Novel Weight Dropout Approach to Accelerate the Neural Network Controller Embedded Implementation on Fpga for a Solar Inverter. (2023)

Jordan SturtzXingang FuChanakya Dinesh HinguLetu Qingge

embedded systemsphotovoltaicshardware accelerationfield programmable gate arraypower electronicselectrical engineeringcomputer sciencesolar inverter

Exhaled Breath Analysis Based Diabetes Detection With K-Nearest Neighbors Classifier. (2023)

Piotr J SmiejaJiang LuQingquan SunXingang FuTing Zhang

public healthcomputer visionintelligent classificationclassification methodbreath analysispattern recognitiondata classificationk-nearest neighborsmachine learningclassifier systems

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Xingang Fu

Assistant Professor

University of Nevada, Reno

Affiliations

College of Engineering

Electrical & Biomedical Engineering

Graduate School

Xingang Fu is currently serving as a College Of Engineering Assistant Professor at University of Nevada, Reno.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Xingang Fu

University of Nevada, Reno

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

32-Bit Fixed and Floating-Point Hardware Implementation for Enhanced Inverter Control: Leveraging Fpga in Recurrent Neural Network Applications. IEEE Access (2024)

Chanakya HinguXingang FuPraneeth VangalaRamkrishna MishanPoria Fajri

recurrent neural networkscomputer engineeringfloating-point hardware implementationleveraging fpgafield programmable gate arrayelectrical engineeringenhanced inverter control

Accelerating RNN Controllers With Parallel Computing and Weight Dropout Techniques. Lecture notes in computer science (2024)

Maxwell SamKushal Kalyan Devalmapeta SurendranathXingang FuLetu Qingge

rnn controllerscomputer scienceparallel computing

Accelerating the Neural Network Controller Embedded Implementation on Fpga With Novel Dropout Techniques for a Solar Inverter. Pervasive and Mobile Computing (2024)

Jordan SturtzKushal Kalyan Devalampeta SurendranathMaxwell SamXingang FuChanakya Dinesh HinguRajab ChallooLetu Qingge

Assessing Power Profile Characteristics in Solar Pv-Storage Integrated Electricity Markets: A Quantitative Study. e-Prime - Advances in Electrical Engineering Electronics and Energy (2024)

Ramkrishna MishanMatthew S. EganXingang FuChanakya HinguPoria FajriMohammed Ben-Idris

quantitative studyquantitative science studiespower profile characteristicselectrical engineeringenergy storage

Exploring Dynamic P-Q Capability and Abnormal Operations of Inverter-Based Resources. IEEE Journal of Emerging and Selected Topics in Power Electronics (2024)

Himadry Shekhar DasShuhui LiBing LuJing WangShahinur RahmanXingang Fu

power engineeringinverter-based resourcesdynamic capabilitiespower electronicselectrical engineeringabnormal operationsenergy managementpower management

Improved Fault Detection Using Shifting Window Data Augmentation of Induction Motor Current Signals. Energies (2024)

Robert WrightPoria FajriXingang FuArash Asrari

systems engineeringcontrol systemsreliability engineeringelectrical engineeringfault detectionwindow data augmentationdata augmentationsystem safetyengineering

Power-Optimized Field-Programmable Gate Array Implementation of Neural Activation Functions Using Continued Fractions for AI/ML Workloads. Electronics (2024)

Chanakya HinguXingang FuTaofiki SaliyuRui HuRamkrishna Mishan

biomedical engineeringartificial intelligenceelectronicsneural activation functionsfield programmable gate array

Chanakya HinguXingang FuRajab ChallooJiang LuXiaokun YangLetu Qingge

control systemscomputer engineeringreal-time controlhardware accelerationneural network controllersfield programmable gate arrayfpga implementation

A Novel Weight Dropout Approach to Accelerate the Neural Network Controller Embedded Implementation on Fpga for a Solar Inverter. (2023)

Jordan SturtzXingang FuChanakya Dinesh HinguLetu Qingge

embedded systemsphotovoltaicshardware accelerationfield programmable gate arraypower electronicselectrical engineeringcomputer sciencesolar inverter

Exhaled Breath Analysis Based Diabetes Detection With K-Nearest Neighbors Classifier. (2023)

Piotr J SmiejaJiang LuQingquan SunXingang FuTing Zhang

public healthcomputer visionintelligent classificationclassification methodbreath analysispattern recognitiondata classificationk-nearest neighborsmachine learningclassifier systems

1
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6
10 / page

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Institution

University of Connecticut

design

algorithm-system co-design

Janardhan Rao Jana Doppa

Institution

Oregon State University

industrial artificial intelligence

machine learning

Lei He

Institution

University of California, Los Angeles

advanced intelligent system

multidisciplinary ai

Peng Li

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University of California, Santa Cruz

electronic design automation

brain-like computing

Shuhui Li

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University of Alabama

energy revolution

artificial intelligence

Sherief Reda

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Brown University

computer engineering

digital chip design

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industrial artificial intelligence

ai architecture

Xiang Chen

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