Faculty

Institution

Unit

Venue

Lucas Vespa

Associate Prof

University of Illinois-Springfield

Affiliations

College of Health, Science and Technology

University of Illinois--Springfield

Lucas Vespa is currently serving as a College Of Health, Science And Technology Associate Prof at University of Illinois-Springfield.

Honors

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Experiences

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Education

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Lucas Vespa

University of Illinois-Springfield

Associate Prof

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computer science computer security pattern matching computer engineering systems engineering parallel computing gpu computing network security machine learning computer architecture parallel programming image analysis medical image computing data security high performance computer architecture ophthalmology neural network (machine learning) scalability wireless sensor networks information technology communication security scientific computing deterministic systems gpu architecture worm containment systems engineering optimization computational optimization wireless communications power electronics convolutional neural networks distributed computing advanced computing high-throughput computing visual diagnosis sensor optimization information quality scheduling analysis power consumption power management testbed security testing network routing hardware acceleration detection technique medical image analysis gpu cluster gpu benchmarking parallel performance evaluation parallel processing string processing distributed processing string-searching algorithm matching technique benchmark studies theoretical analysis high-throughput dpi engine self-addressable memory-based fsm information quality model portable predictive pattern finite state machine quality-of-information modeling trusted intrusion detection quality-aware scheduling metrics adaptive sensor networks portable devices resource consumption lightweight testbed optimal routing signal strength analysis microaneurysm candidate detection

Notable Scholarly Works

Notable Federal Grants

Collaborators

Is Manual Code Optimization Still Required to Mitigate GPU Thread Divergence? Applying a Flattening Technique to Observe Performance. Communications in computer and information science (2025)

scientific computingparallel computingprogram analysisparallel performance evaluationgpu computingcomputer scienceparallel programming

Contrived and Remediated GPU Thread Divergence Using a Flattening Technique. Transactions on computational science and computational intelligence (2021)

scientific computinggpu architectureparallel computingcomputational sciencecomputer architecturegpu benchmarkinghigh performance computer architecturegpu computingcomputer scienceparallel programming

A Retinal Vessel Detection Approach Using Convolution Neural Network With Reinforcement Sample Learning Strategy. Measurement (2018)

neural network (machine learning)ophthalmologyconvolutional neural networksmedical image computingimage analysismachine learning

Unraveling the Divergence of GPU Threads. (2018)

gpu architecturecomputer engineeringparallel computingcomputational sciencecomputer architecturehigh performance computer architecturegpu computingparallel programming

A Novel Approach Based on Image Processing Algorithms for Microaneurysm Candidate Detection. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP) (2017)

radiologydetection techniquemicroaneurysm candidate detectionnovel approachmedical imagingimage processing algorithmsmedical image computingdigital image processingimage analysismedical image analysis

A Retinal Vessel Detection Approach Using Convolution Neural Network. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP) (2017)

ophthalmologymedical image computingimage analysisvisual diagnosisneural network (machine learning)

A High-Throughput Dpi Engine on GPU via Algorithm/Implementation Co-Optimization. Journal of Parallel and Distributed Computing (2015)

Cheng-Liang HsiehLucas VespaNing Weng

computer engineeringparallel computingdistributed computingadvanced computinghigh-throughput dpi enginegpu computingcomputer sciencehigh-throughput computing

Algorithm Flattening: Complete Branch Elimination for GPU Requires a Paradigm Shift From CPU Thinking. (2015)

gpu computingcomputer scienceparallel computingparallel programming

Comprehensive Branch Elimination for GPU Accelerated Biomedical Applications. (2014)

gpu clustercomputer engineeringparallel computinghigh performance computer architecturegpu computing

Enhancing Sensor Network Data Quality via Collaborated Circuit and Network Operations. Journal of Sensor and Actuator Networks (2013)

Yueran GaoHaibo WangNing WengLucas Vespa

systems engineeringelectrical engineeringwireless sensor networks

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Lucas Vespa

Associate Prof

University of Illinois-Springfield

Affiliations

College of Health, Science and Technology

University of Illinois--Springfield

Lucas Vespa is currently serving as a College Of Health, Science And Technology Associate Prof at University of Illinois-Springfield.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Lucas Vespa

University of Illinois-Springfield

Associate Prof

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Is Manual Code Optimization Still Required to Mitigate GPU Thread Divergence? Applying a Flattening Technique to Observe Performance. Communications in computer and information science (2025)

scientific computingparallel computingprogram analysisparallel performance evaluationgpu computingcomputer scienceparallel programming

Contrived and Remediated GPU Thread Divergence Using a Flattening Technique. Transactions on computational science and computational intelligence (2021)

scientific computinggpu architectureparallel computingcomputational sciencecomputer architecturegpu benchmarkinghigh performance computer architecturegpu computingcomputer scienceparallel programming

A Retinal Vessel Detection Approach Using Convolution Neural Network With Reinforcement Sample Learning Strategy. Measurement (2018)

neural network (machine learning)ophthalmologyconvolutional neural networksmedical image computingimage analysismachine learning

Unraveling the Divergence of GPU Threads. (2018)

gpu architecturecomputer engineeringparallel computingcomputational sciencecomputer architecturehigh performance computer architecturegpu computingparallel programming

A Novel Approach Based on Image Processing Algorithms for Microaneurysm Candidate Detection. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP) (2017)

A Retinal Vessel Detection Approach Using Convolution Neural Network. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP) (2017)

ophthalmologymedical image computingimage analysisvisual diagnosisneural network (machine learning)

A High-Throughput Dpi Engine on GPU via Algorithm/Implementation Co-Optimization. Journal of Parallel and Distributed Computing (2015)

Cheng-Liang HsiehLucas VespaNing Weng

computer engineeringparallel computingdistributed computingadvanced computinghigh-throughput dpi enginegpu computingcomputer sciencehigh-throughput computing

Algorithm Flattening: Complete Branch Elimination for GPU Requires a Paradigm Shift From CPU Thinking. (2015)

gpu computingcomputer scienceparallel computingparallel programming

Comprehensive Branch Elimination for GPU Accelerated Biomedical Applications. (2014)

gpu clustercomputer engineeringparallel computinghigh performance computer architecturegpu computing

Enhancing Sensor Network Data Quality via Collaborated Circuit and Network Operations. Journal of Sensor and Actuator Networks (2013)

Yueran GaoHaibo WangNing WengLucas Vespa

systems engineeringelectrical engineeringwireless sensor networks

1
2
3
4
10 / page