Faculty

Institution

Unit

Venue

Marco Caccamo

Adjunct Professor

UIUC

Affiliations

The Grainger College of Engineering

Aerospace Engineering

Department of Aerospace Engineering

Marco Caccamo is currently serving as an Aerospace Engineering Adjunct Professor at Uiuc.

Honors

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Experiences

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Education

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Marco Caccamo

UIUC

Adjunct Professor

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computer science computer engineering systems engineering computer architecture high performance computer architecture parallel computing microarchitecture embedded systems distributed systems system software scheduling (computing) system safety real-time computing unmanned aircraft systems unmanned aerial vehicles real-time systems operating systems scheduling analysis scalability cyber-physical systems control optimization aerospace engineering high-performance architectures automatic control networked system design aerial robotics aircraft real-time algorithms unmanned systems software analysis manycore processor automation real-time multiprocessor system scheduling problems deep reinforcement learning real-time system design many-core architectures field robotics air vehicle system wireless communications telecommunication networks real-time operating systems shared memory controller synthesis design automation control system security processor architectures reliability engineering real-time operation memory management embedded operating systems caching mixed criticality aerospace systems unmanned vehicles flying robot wireless sensor systems schedulability analysis operating system security radar applications radar signal processing real-time scheduling memory interference coverage path planning soft real-time systems earliest deadline memory bandwidth efficient performance isolation predictable execution model cots components such malware template-based scheduling algorithm temporal predictability real-time scratchpad-centric os aperiodic responsiveness uav path planning automation engineering electronic design automation multicore architectures design

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Arm Dynamiq Shared Unit and Real-Time: An Empirical Evaluation. (2025)

Ashutosh PradhanDaniele OttavianoYi JiangHaozheng HuangAlexander ZuepkeAndrea BastoniMarco Caccamo

system softwarecomputer architecturereal-time computingsystems modelingcomputer engineeringsystems engineeringreal-time system designhigh performance computer architecturereal-time systemsempirical evaluationsystem science

Exploring Deep Learning Grasping Models With Soft Anthropomorphic Robotic Hands. Springer proceedings in advanced robotics (2025)

Daniele BernardiniPatricia Capsi-MoralesLukas DirnbergerOscar Amo GrauMarco CaccamoCristina Piazza

deep learningobject manipulationmachine learningrobotics automationdexterous manipulationroboticsrobot learningneural network (machine learning)soft robotics

SAPAR: A Surrogate-Assisted Dnn Partitioner for Efficient Inferences on Edge Tpu Pipelines. ACM Transactions on Embedded Computing Systems (2025)

Binqi SunBohua ZouYigong HuTomasz KlodaLing WangTarek AbdelzaherMarco Caccamo

parallel computingdeep learningcomputer sciencecomputational intelligencecomputer architectureembedded machine learningmodel compressionneighborhood search enginemachine learninghardware accelerationedge computingpipeline parallelismcomputer engineeringmicroarchitectureedge tpu pipelinesmachine learning researchhigh performance computer architectureneural network (machine learning)

Position Paper: Deep Reinforcement Learning for Real-Time Resource Management. Real-Time Systems (2025)

Mirco TheileBinqi SunMarco Caccamo

computer sciencecomputational intelligencereal-time decision-makingcontrol optimizationmachine learningdeep reinforcementreinforcement learningdeep reinforcement learningreal-time algorithms

Response Time Analysis and Optimal Priority Assignment for Global Non-Preemptive Fixed-Priority Rigid Gang Scheduling. IEEE Transactions on Parallel and Distributed Systems (2025)

Binqi SunTomasz KlodaJiyang ChenCen LuMarco Caccamo

scheduling analysiscomputer sciencescheduling (computing)scheduling (production processes)computer engineeringsystems engineeringoperation managementscheduling problemsoperations researchoptimal priority assignmentresponse time analysisproduction schedulingengineering optimizationcyber-physical systems

Secure-By-Construction Synthesis for Control Systems. IEEE Transactions on Automatic Control (2025)

Bingzhuo ZhongSiyuan LiuMarco CaccamoMajid Zamani

control systemscontrol optimizationsecure-by-construction synthesissystems engineeringsystem synthesisformal verificationcontroller synthesiscontrol system technologyautomatic control

Surgical Software-Less I/O Virtualization. (2025)

Francesco CiraoloMattia NicolellaPatrick CarpanedoDenis HoornaertMarco CaccamoRenato Mancuso

system softwarecomputer sciencehardware virtualizationvirtualization supportoperating systemsvirtual machinescomputer engineeringmedical devicesvirtual reality

A Containerized Microservice Architecture for a Ros 2 Autonomous Driving Software: An End-To-End Latency Evaluation. arXiv (Cornell University) (2024)

Tobias BetzLong WenFengjunjie PanGemb KaljavesiAlexander ZuepkeAndrea BastoniMarco CaccamoAlois KnollJohannes Betz

microservices designselfdriving carcloud computingreal-time systemsautonomous driving softwarevehicular technologycomputer scienceautomationcontainerized microservice architectureros 2intelligent transportation systemsautonomous drivingautonomous robotsnetworked system designintelligent vehiclessystem softwaresystems engineeringreal-world deploymentos-level virtualization

Action Mapping for Reinforcement Learning in Continuous Environments With Constraints. arXiv (Cornell University) (2024)

Theile, MircoDirnberger, LukasTrumpp, RaphaelCaccamo, MarcoSangiovanni-Vincentelli, Alberto L.

deep learningcomputer sciencecomputational intelligenceautonomous robotsmachine learningaction model learningdata scienceroboticsreinforcement learningaction mappingdrl pipelinesartificial intelligencedeep reinforcement learningmachine learning researchmulti-agent learningrobot learning

A Dynamic Priority-Aware Coherent Cache Architecture for Reactive Real-Time System. (2024)

Denis HoornaertJulian PritziAndrea BastoniMarco Caccamo

parallel computingsystem softwarecomputer sciencereactive real-time systemcomputer architecturereal-time computingcomputer engineeringsystems engineeringdistributed systemsmicroarchitecturereal-time operationreal-time systemshigh performance computer architecturereal-time operating systemsreal-time algorithms

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Marco Caccamo

Adjunct Professor

UIUC

Affiliations

The Grainger College of Engineering

Aerospace Engineering

Department of Aerospace Engineering

Marco Caccamo is currently serving as an Aerospace Engineering Adjunct Professor at Uiuc.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Marco Caccamo

UIUC

Adjunct Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Arm Dynamiq Shared Unit and Real-Time: An Empirical Evaluation. (2025)

Ashutosh PradhanDaniele OttavianoYi JiangHaozheng HuangAlexander ZuepkeAndrea BastoniMarco Caccamo

Exploring Deep Learning Grasping Models With Soft Anthropomorphic Robotic Hands. Springer proceedings in advanced robotics (2025)

Daniele BernardiniPatricia Capsi-MoralesLukas DirnbergerOscar Amo GrauMarco CaccamoCristina Piazza

deep learningobject manipulationmachine learningrobotics automationdexterous manipulationroboticsrobot learningneural network (machine learning)soft robotics

SAPAR: A Surrogate-Assisted Dnn Partitioner for Efficient Inferences on Edge Tpu Pipelines. ACM Transactions on Embedded Computing Systems (2025)

Binqi SunBohua ZouYigong HuTomasz KlodaLing WangTarek AbdelzaherMarco Caccamo

Position Paper: Deep Reinforcement Learning for Real-Time Resource Management. Real-Time Systems (2025)

Mirco TheileBinqi SunMarco Caccamo

computer sciencecomputational intelligencereal-time decision-makingcontrol optimizationmachine learningdeep reinforcementreinforcement learningdeep reinforcement learningreal-time algorithms

Response Time Analysis and Optimal Priority Assignment for Global Non-Preemptive Fixed-Priority Rigid Gang Scheduling. IEEE Transactions on Parallel and Distributed Systems (2025)

Binqi SunTomasz KlodaJiyang ChenCen LuMarco Caccamo

Secure-By-Construction Synthesis for Control Systems. IEEE Transactions on Automatic Control (2025)

Bingzhuo ZhongSiyuan LiuMarco CaccamoMajid Zamani

control systemscontrol optimizationsecure-by-construction synthesissystems engineeringsystem synthesisformal verificationcontroller synthesiscontrol system technologyautomatic control

Surgical Software-Less I/O Virtualization. (2025)

Francesco CiraoloMattia NicolellaPatrick CarpanedoDenis HoornaertMarco CaccamoRenato Mancuso

system softwarecomputer sciencehardware virtualizationvirtualization supportoperating systemsvirtual machinescomputer engineeringmedical devicesvirtual reality

A Containerized Microservice Architecture for a Ros 2 Autonomous Driving Software: An End-To-End Latency Evaluation. arXiv (Cornell University) (2024)

Tobias BetzLong WenFengjunjie PanGemb KaljavesiAlexander ZuepkeAndrea BastoniMarco CaccamoAlois KnollJohannes Betz

Action Mapping for Reinforcement Learning in Continuous Environments With Constraints. arXiv (Cornell University) (2024)

Theile, MircoDirnberger, LukasTrumpp, RaphaelCaccamo, MarcoSangiovanni-Vincentelli, Alberto L.

A Dynamic Priority-Aware Coherent Cache Architecture for Reactive Real-Time System. (2024)

Denis HoornaertJulian PritziAndrea BastoniMarco Caccamo

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5
23
10 / page