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Songjie Wang - IEEE Xplore Author Profile
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Songjie Wang

Publications
14
Citations
80
Publications by Year
20192024
Co-Authors:
Show All Co-Authors (50)
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Songjie Wang

Affiliation

Center for Cyber Education
Research and Infrastructure
Alexandria, VA, USA

Publication Topics

Biography

Songjie Wang received the Ph.D. degree in plant science from the University of Missouri, Columbia, MO, USA, in 2009, and the M.S. degree in computer science from the Department of Electrical Engineering and Computer Science, University of Missouri-Columbia, in 2018.,He is currently a Cyber Infrastructure Engineer with the College of Engineering, University of Missouri. His research interests include cloud and edge computing, computer networking, Internet of Things, cybersecurity, and Big Data.(Based on document published on 24 July 2024).
Publications
14
Citations
80
Publications by Year
20192024
Co-Authors:
Show All Co-Authors (50)
Author's Published Works

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Online Self-Service Learning Platform for Application-Inspired Cloud Development and Operations (DevOps) Curriculum

Roshan Lal Neupane;Prasad Calyam;Songjie Wang;Kiran Neupane;Ashish Pandey;Xiyao Cheng;Durbek Gafurov;Hemanth Sai Yeddulapalli;Noah Glaser;Kanu Priya Singh;Yuanyuan Gu;Shangman Li;Sharan Srinivas

IEEE Transactions on Learning Technologies
Year: 2024 | Volume: 17 | Journal Article |
Cited by: Papers (1)
Cloud-hosted services are being increasingly used in hosting business and scientific applications due to cost-effectiveness, scalability, and ease of deployment. To facilitate rapid development, change and release process of cloud-hosted applications, the area of development and operations (DevOps) is fast evolving. It is necessary to train the future generation of scientific application developme...Show More

Online Self-Service Learning Platform for Application-Inspired Cloud Development and Operations (DevOps) Curriculum

Roshan Lal Neupane;Prasad Calyam;Songjie Wang;Kiran Neupane;Ashish Pandey;Xiyao Cheng;Durbek Gafurov;Hemanth Sai Yeddulapalli;Noah Glaser;Kanu Priya Singh;Yuanyuan Gu;Shangman Li;Sharan Srinivas

Year: 2024 | Volume: 17 | Journal Article |

Knowledge-Engineered Multi-Cloud Resource Brokering for Application Workflow Optimization

Ashish Pandey;Prasad Calyam;Zhen Lyu;Songjie Wang;Dmitrii Chemodanov;Trupti Joshi

IEEE Transactions on Network and Service Management
Year: 2023 | Volume: 20, Issue: 3 | Journal Article |
Cited by: Papers (2)
Data-intensive application workflows benefit by leveraging cloud services to decrease execution times and increase data sharing. Cloud service providers (CSPs) have distinct capabilities and policies, and performance/cost of the cloud services are amongst the prime factors for CSP selection. However, workflow users who need brokering of cloud resources often lack expert guidance to handle the prob...Show More

Knowledge-Engineered Multi-Cloud Resource Brokering for Application Workflow Optimization

Ashish Pandey;Prasad Calyam;Zhen Lyu;Songjie Wang;Dmitrii Chemodanov;Trupti Joshi

Year: 2023 | Volume: 20, Issue: 3 | Journal Article |

Cyber Threat Intelligence Sharing for Co-Operative Defense in Multi-Domain Entities

Soumya Purohit;Roshan Neupane;Naga Ramya Bhamidipati;Varsha Vakkavanthula;Songjie Wang;Matthew Rockey;Prasad Calyam

IEEE Transactions on Dependable and Secure Computing
Year: 2023 | Volume: 20, Issue: 5 | Journal Article |
Cited by: Papers (5)
Cloud-hosted applications are prone to targeted attacks such as DDoS, advanced persistent threats, Cryptojacking which threaten service availability. Recently, methods for threat information sharing and defense require cooperation and trust between multiple domains/entities. There is a need for mechanisms that establish distributed trust to allow for such a collective defense. In this paper, we pr...Show More

Cyber Threat Intelligence Sharing for Co-Operative Defense in Multi-Domain Entities

Soumya Purohit;Roshan Neupane;Naga Ramya Bhamidipati;Varsha Vakkavanthula;Songjie Wang;Matthew Rockey;Prasad Calyam

Year: 2023 | Volume: 20, Issue: 5 | Journal Article |

Networked and Multimodal 3D Modeling of Cities for Collaborative Virtual Environments

Benjamin Hall;Joseph Kessler;Osayamen Edo-Ohanba;Jaired Collins;Haoxiang Zhang;Nick Allegreti;Ye Duan;Songjie Wang;Kannappan Palaniappan;Prasad Calyam

2022 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
3D city-scale models are useful in a number of applications, including education, city planning, navigation systems, artificial intelligence training, and simulations. However, final models need to be immersive and interactive, which requires a mixed reality (XR) environment design that combines e.g., a Cave Automatic Virtual Environment (CAVE) VR system with the Microsoft Hololens2 in a networked...Show More

Networked and Multimodal 3D Modeling of Cities for Collaborative Virtual Environments

Benjamin Hall;Joseph Kessler;Osayamen Edo-Ohanba;Jaired Collins;Haoxiang Zhang;Nick Allegreti;Ye Duan;Songjie Wang;Kannappan Palaniappan;Prasad Calyam

Year: 2022 | Conference Paper |

Remote Instrumentation Science Environment for Intelligent Image Analytics

Mauro Lemus Alarcon;Songjie Wang;Nguyen Nguyen;Ashish Pandey;Filiz Bunyak;Matthew Maschmann;Kannappan Palaniappan;Prasad Calyam

2022 IEEE 18th International Conference on e-Science (e-Science)
Year: 2022 | Conference Paper |
Current scientific experiments frequently involve control of specialized instruments (e.g., scanning electron microscopes), image data collection from those instruments, and transfer of the data for processing at simulation centers. This process requires a “human-in-the-loop” to perform those tasks manually, which besides requiring a lot of effort and time, could lead to inconsistencies or errors....Show More

Remote Instrumentation Science Environment for Intelligent Image Analytics

Mauro Lemus Alarcon;Songjie Wang;Nguyen Nguyen;Ashish Pandey;Filiz Bunyak;Matthew Maschmann;Kannappan Palaniappan;Prasad Calyam

Year: 2022 | Conference Paper |

ClaimChain: Secure Blockchain Platform for Handling Insurance Claims Processing

Naga Ramya Bhamidipati;Varsha Vakkavanthula;George Stafford;Masrik Dahir;Roshan Neupane;Ernest Bonnah;Songjie Wang;J. V. R. Murthy;Khaza Anuarul Hoque;Prasad Calyam

2021 IEEE International Conference on Blockchain (Blockchain)
Year: 2021 | Conference Paper |
Cited by: Papers (8)
Insurance claims processing involves multi-domain entities and multi-source data, along with a number of human-agent interactions. Consequently, this processing is traditionally manually-intensive and time-consuming. Blockchain technology-based platforms for intelligent automation can significantly improve the scale and response time of claims processing. However, there is a need to secure such pl...Show More

ClaimChain: Secure Blockchain Platform for Handling Insurance Claims Processing

Naga Ramya Bhamidipati;Varsha Vakkavanthula;George Stafford;Masrik Dahir;Roshan Neupane;Ernest Bonnah;Songjie Wang;J. V. R. Murthy;Khaza Anuarul Hoque;Prasad Calyam

Year: 2021 | Conference Paper |

Network-based Active Defense for Securing Cloud-based Healthcare Data Processing Pipelines

Vaibhav Akashe;Roshan Lal Neupane;Mauro Lemus Alarcon;Songjie Wang;Prasad Calyam

2021 International Conference on Computer Communications and Networks (ICCCN)
Year: 2021 | Conference Paper |
Cited by: Papers (7)
Active defense schemes are becoming critical to secure cloud-based applications in the fields such as healthcare, entertainment, and manufacturing. Active defense mechanisms in cloud platforms need to be robust against targeted attacks (such as Distributed Denial-of-Service (DDoS), malware, and SQL injection) that make servers unresponsive and/or cause data breaches/loss, which in turn can cause h...Show More

Network-based Active Defense for Securing Cloud-based Healthcare Data Processing Pipelines

Vaibhav Akashe;Roshan Lal Neupane;Mauro Lemus Alarcon;Songjie Wang;Prasad Calyam

Year: 2021 | Conference Paper |

Cyber Range for Research-Inspired Learning of “Attack Defense by Pretense” Principle and Practice

Komal Bhupendra Vekaria;Prasad Calyam;Songjie Wang;Ramya Payyavula;Matthew Rockey;Nafis Ahmed

IEEE Transactions on Learning Technologies
Year: 2021 | Volume: 14, Issue: 3 | Journal Article |
Cited by: Papers (8)
There is an increasing trend in cloud adoption of enterprise applications in, for example, manufacturing, healthcare, and finance. Such applications are routinely subject to targeted cyberattacks, which result in significant loss of sensitive data (e.g., due to data exfiltration in advanced persistent threats) or valuable utilities (e.g., due to resource the exfiltration of power in cryptojacking)...Show More

Cyber Range for Research-Inspired Learning of “Attack Defense by Pretense” Principle and Practice

Komal Bhupendra Vekaria;Prasad Calyam;Songjie Wang;Ramya Payyavula;Matthew Rockey;Nafis Ahmed

Year: 2021 | Volume: 14, Issue: 3 | Journal Article |

DefenseChain: Consortium Blockchain for Cyber Threat Intelligence Sharing and Defense

Soumya Purohit;Prasad Calyam;Songjie Wang;RajaniKanth Yempalla;Justin Varghese

2020 2nd Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS)
Year: 2020 | Conference Paper |
Cited by: Papers (10)
Cloud-hosted applications are prone to targeted attacks such as DDoS, advanced persistent threats, cryptojacking which threaten service availability. Recently, methods for threat information sharing and defense require co-operation and trust between multiple domains/entities. There is a need for mechanisms that establish distributed trust to allow for such a collective defense. In this paper, we p...Show More

DefenseChain: Consortium Blockchain for Cyber Threat Intelligence Sharing and Defense

Soumya Purohit;Prasad Calyam;Songjie Wang;RajaniKanth Yempalla;Justin Varghese

Year: 2020 | Conference Paper |

Energy-aware Dynamic Computation Offloading for Video Analytics in Multi-UAV Systems

Jeromy Yu;Aditya Vandanapu;Chengyi Qu;Songjie Wang;Prasad Calyam

2020 International Conference on Computing, Networking and Communications (ICNC)
Year: 2020 | Conference Paper |
Cited by: Papers (11)
Multi-Unmanned Aerial Vehicle (UAV) systems with high-resolution cameras have been found to be useful for operations such as disaster management and smart farming. These systems feature Flying Ad-Hoc Networks (FANETs) that connect the computation edge with UAVs and a Ground Control Station (GCS) through air-to-ground network links. Leveraging the edge computation resources effectively with energy-...Show More

Energy-aware Dynamic Computation Offloading for Video Analytics in Multi-UAV Systems

Jeromy Yu;Aditya Vandanapu;Chengyi Qu;Songjie Wang;Prasad Calyam

Year: 2020 | Conference Paper |

DyCOCo: A Dynamic Computation Offloading and Control Framework for Drone Video Analytics

Chengyi Qu;Songjie Wang;Prasad Calyam

2019 IEEE 27th International Conference on Network Protocols (ICNP)
Year: 2019 | Conference Paper |
Cited by: Papers (5)
Unmanned aerial vehicles (UAV) or drone systems equipped with cameras are extensively used in different surveillance scenarios and often require real-time control and high-quality video transmission. However, unstable network situations and various transport protocols may result in impairments during video streaming, which in turn negatively impacts user's quality of experience (QoE). In this pape...Show More

DyCOCo: A Dynamic Computation Offloading and Control Framework for Drone Video Analytics

Chengyi Qu;Songjie Wang;Prasad Calyam

Year: 2019 | Conference Paper |

Data-intensive Workflow Execution using Distributed Compute Resources

Ashish Pandey;Songjie Wang;Prasad Calyam

2019 IEEE 27th International Conference on Network Protocols (ICNP)
Year: 2019 | Conference Paper |
Cited by: Papers (2)
Cloud computing has become a necessary utility for scientific and technical applications. Many diverse web services are published and subscribed using cloud data centers. It has become fairly easy to use services from Cloud Service Providers (CSPs) for computation and data processing. However, even with all their benefits, commercial cloud resources are not economical when large data processing is...Show More

Data-intensive Workflow Execution using Distributed Compute Resources

Ashish Pandey;Songjie Wang;Prasad Calyam

Year: 2019 | Conference Paper |

Policy-Based Function-Centric Computation Offloading for Real-Time Drone Video Analytics

Dmitrii Chemodanov;Chengyi Qu;Osunkoya Opeoluwa;Songjie Wang;Prasad Calyam

2019 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)
Year: 2019 | Conference Paper |
Cited by: Papers (14)
Computer vision applications are increasingly used on mobile Internet-of-Things (IoT) devices such as drones. They provide real-time support in disaster/incident response or crowd protest management scenarios by e.g., counting human/vehicles, or recognizing faces/objects. However, deployment of such applications for real-time video analytics at geo-distributed areas presents new challenges in proc...Show More

Policy-Based Function-Centric Computation Offloading for Real-Time Drone Video Analytics

Dmitrii Chemodanov;Chengyi Qu;Osunkoya Opeoluwa;Songjie Wang;Prasad Calyam

Year: 2019 | Conference Paper |

Cost-Performance Trade-Offs in Fog Computing for IoT Data Processing of Social Virtual Reality

Songjie Wang;Samaikya Valluripally;Reshmi Mitra;Sai Shreya Nuguri;Khaled Salah;Prasad Calyam

2019 IEEE International Conference on Fog Computing (ICFC)
Year: 2019 | Conference Paper |
Cited by: Papers (5)
Virtual Reality (VR)-based Learning Environments (VRLEs) are gaining popularity due to the wide availability of cloud and its edge (a.k.a. fog) technologies and high-speed networks. Thus, there is a need to investigate Internet-of-Things (IoT)-based application design concepts within social VRLEs to offer scalable, cost-efficient services that adapt to dynamic cloud/fog system conditions. In this ...Show More

Cost-Performance Trade-Offs in Fog Computing for IoT Data Processing of Social Virtual Reality

Songjie Wang;Samaikya Valluripally;Reshmi Mitra;Sai Shreya Nuguri;Khaled Salah;Prasad Calyam

Year: 2019 | Conference Paper |

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