Faculty

Institution

Unit

Venue

Ting He

Associate Professor

Pennsylvania State University

Affiliations

School of Electrical Engineering and Computer Science

Department of Computer Science and Engineering

Penn State College of Engineering

School of Electrical Engineering and Computer Science

Ting He is currently serving as a Computer Science And Engineering Associate Professor at Pennsylvania State University.

Honors

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Experiences

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Education

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Ting He

Pennsylvania State University

Associate Professor

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systems engineering computer science communication security machine learning electrical engineering computer security information security communications systems edge computing data security network analysis networked system design wireless communications cloud computing telecommunication networks distributed systems communication wireless networks mobile computing network tomography secure communication data privacy software-defined networking information technology network security information fusion scheduling (computing) job scheduler information flow secure routing combinatorial optimization computational statistics cloud scheduling encrypted traffic attack model federated learning change detection service placement chaff packets additive link metrics computational optimization service computing markov decision process relay network privacy-preserving communication scheduling problems network optimization caching network traffic measurement performance assessment mobility management network management failure detection sensor signal processing shift detection mobile micro-clouds dynamic service migration end-to-end path measurements information flows request scheduling monitor placement computational intelligence intelligent computing distributed computing multi-access edge computing fault management data communications cloud resource management statistical signal processing internet traffic analysis dynamic service placement stepping-stone connections link metrics mobile edge clouds location privacy node failures distributed learning network inference theory of computation statistical inference data science graph theory theoretical computer science resource allocation

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Active Learning for Wban-Based Health Monitoring. (2024)

Cho-Chun ChiuTuan NguyenTing HeShiqiang WangBeom-Su KimKi Il Kim

wireless sensor networkshealth scienceshealth monitoringwban-based health monitoringactive learning

Energy-Efficient Decentralized Learning via Graph Sparsification. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024)

Xusheng ZhangCho-Chun ChiuTing He

computer sciencedistributed learningmachine learningfederated learningenergy efficiencygraph sparsification

Optimized Cross-Path Attacks via Adversarial Reconnaissance. ACM SIGMETRICS Performance Evaluation Review (2024)

Yudi HuangYilei LinTing He

computer scienceperformance evaluationdata securitymachine learningcomputer securityadversarial machine learningadversarial reconnaissancecross-path attacks

Overlay-Based Decentralized Federated Learning in Bandwidth-Limited Networks. (2024)

Yudi HuangTingyang SunTing He

computer scienceoverlay networksfederated learningdecentralised systembandwidth-limited networks

Securing Cloud File Systems With Trusted Execution. IEEE Transactions on Dependable and Secure Computing (2024)

Quinn BurkeYohan BeuginBlaine HoakRachel KingEric PauleyRyan SheatsleyMingli YuTing HeThomas La PortaPatrick McDaniel

information securitycomputer sciencedata securitydata privacysecure computingcomputer securitycommunication securitytrusted execution environmentscomputer engineeringconfidential computingcloud computingtrusted executionhardware securitycloud file systemssecure protocolscloud computing securitycryptography

5G Multi-Numerology Applications in Power Distribution Systems. 2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS) (2023)

Vajiheh FarhadiThomas La PortaTing He

5g systempower distribution systemselectrical engineeringmulti-numerology applications

A Method for Parallelized Fast Dynamic Cascading Failure Simulation of Power System. 2021 IEEE Power & Energy Society General Meeting (PESGM) (2023)

Sina GharebaghiNilanjan Ray ChaudhuriTing HeThomas La Porta

parallel computingsystems engineeringpower system controlmodeling and simulationpower systempower system dynamicselectrical engineering

Artificial Intelligence for Edge Computing. Springer eBooks (2023)

Mudhakar SrivatsaTarek AbdelzaherTing He

computer sciencecomputational intelligenceintelligent systemsnetworked system designintelligent computingedge computingmachine intelligenceedge intelligenceartificial intelligenceedge architecture

Coreset-Based Data Reduction for Machine Learning at the Edge. Springer eBooks (2023)

Hanlin LuTing HeShiqiang Wang

computer sciencemachine learningedge computingcoreset-based data reductiondata reduction

Dynamic Modeling and Mitigation of Cascading Failures in Power Grids With Interdependent Cyber and Physical Layers. IEEE Transactions on Smart Grid (2023)

Sina GharebaghiNilanjan Ray ChaudhuriTing HeThomas F. La Porta

control systemsengineeringgrid stabilitysystems engineeringdynamic modelinginterdependent cyberreliability engineeringpower system protectioncyber-physical systemselectrical engineering

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Ting He

Associate Professor

Pennsylvania State University

Affiliations

School of Electrical Engineering and Computer Science

Department of Computer Science and Engineering

Penn State College of Engineering

School of Electrical Engineering and Computer Science

Ting He is currently serving as a Computer Science And Engineering Associate Professor at Pennsylvania State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Ting He

Pennsylvania State University

Associate Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Active Learning for Wban-Based Health Monitoring. (2024)

Cho-Chun ChiuTuan NguyenTing HeShiqiang WangBeom-Su KimKi Il Kim

wireless sensor networkshealth scienceshealth monitoringwban-based health monitoringactive learning

Energy-Efficient Decentralized Learning via Graph Sparsification. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024)

Xusheng ZhangCho-Chun ChiuTing He

computer sciencedistributed learningmachine learningfederated learningenergy efficiencygraph sparsification

Optimized Cross-Path Attacks via Adversarial Reconnaissance. ACM SIGMETRICS Performance Evaluation Review (2024)

Yudi HuangYilei LinTing He

computer scienceperformance evaluationdata securitymachine learningcomputer securityadversarial machine learningadversarial reconnaissancecross-path attacks

Overlay-Based Decentralized Federated Learning in Bandwidth-Limited Networks. (2024)

Yudi HuangTingyang SunTing He

computer scienceoverlay networksfederated learningdecentralised systembandwidth-limited networks

Securing Cloud File Systems With Trusted Execution. IEEE Transactions on Dependable and Secure Computing (2024)

Quinn BurkeYohan BeuginBlaine HoakRachel KingEric PauleyRyan SheatsleyMingli YuTing HeThomas La PortaPatrick McDaniel

5G Multi-Numerology Applications in Power Distribution Systems. 2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS) (2023)

Vajiheh FarhadiThomas La PortaTing He

5g systempower distribution systemselectrical engineeringmulti-numerology applications

A Method for Parallelized Fast Dynamic Cascading Failure Simulation of Power System. 2021 IEEE Power & Energy Society General Meeting (PESGM) (2023)

Sina GharebaghiNilanjan Ray ChaudhuriTing HeThomas La Porta

parallel computingsystems engineeringpower system controlmodeling and simulationpower systempower system dynamicselectrical engineering

Artificial Intelligence for Edge Computing. Springer eBooks (2023)

Mudhakar SrivatsaTarek AbdelzaherTing He

computer sciencecomputational intelligenceintelligent systemsnetworked system designintelligent computingedge computingmachine intelligenceedge intelligenceartificial intelligenceedge architecture

Coreset-Based Data Reduction for Machine Learning at the Edge. Springer eBooks (2023)

Hanlin LuTing HeShiqiang Wang

computer sciencemachine learningedge computingcoreset-based data reductiondata reduction

Dynamic Modeling and Mitigation of Cascading Failures in Power Grids With Interdependent Cyber and Physical Layers. IEEE Transactions on Smart Grid (2023)

Sina GharebaghiNilanjan Ray ChaudhuriTing HeThomas F. La Porta

control systemsengineeringgrid stabilitysystems engineeringdynamic modelinginterdependent cyberreliability engineeringpower system protectioncyber-physical systemselectrical engineering

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data security

communication security

Ness Shroff

Institution

Ohio State University

algorithmic design

network algorithm

Prasant Mohapatra

Institution

University of California, Davis

wireless network

wireless networks

Sachin Shetty

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data security

infrastructure security

Nasir Ghani

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data security

cyberattack

Massimo Tornatore

Institution

University of California, Davis

computer engineering

communications system

Yuanyuan Yang

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edge computing

data center management

Scott Shenker

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University of California, Berkeley

distributed system

game theory

Prasant Mohapatra

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mobile communication

next generation internet

Thanasis Korakis

Institution

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mobile communication vehicle

wireless cooperative network