Mauro Lemus

According to our database, Mauro Lemus authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving big data governance in healthcare institutions: user experience research for honest broker based application to access healthcare big data.

Kanupriya Singh, Shangman Li, Isa Jahnke, Mauro Lemus Alarcon, Abu Saleh Mohammad Mosa, Prasad Calyam

Behav. Inf. Technol., April, 2024

Learning-based Image Analytics in User-AI Agent Interactions for Cyber-enabled Manufacturing.

Mauro Lemus Alarcon, Upasana Roy, Anirudh Kambhampati, Nguyen P. Nguyen, Minasadat Attari, Ramakrishna Surya, Filiz Bunyak, Matthew R. Maschmann, Kannappan Palaniappan, Prasad Calyam

Proceedings of the 4th IEEE International Conference on Human-Machine Systems, 2024

Reinforcement Learning-driven Data-intensive Workflow Scheduling for Volunteer Edge-Cloud.

Motahare Mounesan, Mauro Lemus, Hemanth Sai Yeddulapalli, Prasad Calyam, Saptarshi Debroy

Proceedings of the 8th IEEE International Conference on Fog and Edge Computing, 2024

VECA: Reliable and Confidential Resource Clustering for Volunteer Edge-Cloud Computing.

Hemanth Sai Yeddulapalli, Mauro Lemus Alarcon, Upasana Roy, Roshan Lal Neupane, Durbek Gafurov, Motahare Mounesan, Saptarshi Debroy, Prasad Calyam

Proceedings of the IEEE International Conference on Cloud Engineering, 2024

Zeus: IoT-based Healthcare Data Management Security Framework for Remote Patient Monitoring.

Sai Shreya Nuguri, Karan Karthik, Vamsi Pusapati, Anirudh Kambhampati, Subrahmanya Chandra Bhamidipati, Aneesh Calyam, Mauro Lemus Alarcon, Prasad Calyam

Proceedings of the 2024 Workshop on Cybersecurity in Healthcare, 2024

2023

Science gateway adoption using plug-in middleware for evidence-based healthcare data management.

Roland Oruche, Eric D. Milman, Mauro Lemus Alarcon, Xiyao Cheng, Ashish Pandey, Songjie Wang, Prasad Calyam, Kerk F. Kee

Concurr. Comput. Pract. Exp., 2023

2022

VECFlex: Reconfigurability and Scalability for Trustworthy Volunteer Edge-Cloud supporting Data-intensive Scientific Computing.

Mauro Lemus Alarcon, Minh Nguyen, Ashish Pandey, Saptarshi Debroy, Prasad Calyam

Proceedings of the 15th IEEE/ACM International Conference on Utility and Cloud Computing, 2022

Remote Instrumentation Science Environment for Intelligent Image Analytics.

Mauro Lemus Alarcon, Songjie Wang, Nguyen P. Nguyen, Ashish Pandey, Filiz Bunyak, Matthew R. Maschmann, Kannappan Palaniappan, Prasad Calyam

Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021

HonestChain: Consortium blockchain for protected data sharing in health information systems.

Soumya Purohit, Prasad Calyam, Mauro Lemus Alarcon, Naga Ramya Bhamidipati, Abu Saleh Mohammad Mosa, Khaled Salah

Peer-to-Peer Netw. Appl., 2021

Evidence-Based Recommender System for a COVID-19 Publication Analytics Service.

Roland Oruche, Vidya Gundlapalli, Aditya P. Biswal, Prasad Calyam, Mauro Lemus Alarcon, Yuanxun Zhang, Naga Ramya Bhamidipati, Abhiram Malladi, Hariharan Regunath

IEEE Access, 2021

VECTrust: trusted resource allocation in volunteer edge-cloud computing workflows.

Ashish Pandey, Prasad Calyam, Saptarshi Debroy, Songjie Wang, Mauro Lemus Alarcon

Proceedings of the UCC '21: 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing, Leicester, United Kingdom, December 6, 2021

Trust Model for Efficient Honest Broker based Healthcare Data Access and Processing.

Mauro Lemus Alarcon, Minh Nguyen, Saptarshi Debroy, Naga Ramya Bhamidipati, Prasad Calyam, Abu Saleh Mohammad Mosa

Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

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

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

Proceedings of the 30th International Conference on Computer Communications and Networks, 2021

2018

Predictive analytics for fog computing using machine learning and GENI.

Jon Patman, Meshal Alfarhood, Soliman Islam, Mauro Lemus, Prasad Calyam, Kannappan Palaniappan

Proceedings of the IEEE INFOCOM 2018, 2018