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Lirim Ashiku
Lirim Ashiku
Research Associate and Adjunct Professor at Missouri University of Science and Technology
Verified email at umsystem.edu - Homepage
Title
Cited by
Cited by
Year
Network intrusion detection system using deep learning
L Ashiku, C Dagli
Procedia Computer Science 185, 239-247, 2021
1092021
Cybersecurity as a centralized directed system of systems using SoS explorer as a tool
L Ashiku, C Dagli
2019 14th Annual Conference System of Systems Engineering (SoSE), 140-145, 2019
202019
System of systems (SOS) architecture for Digital Manufacturing Cybersecurity
L Ashiku, CH Dagli
Procedia Manufacturing 39, 132-140, 2019
112019
Reducing kidney discard with artificial intelligence decision support: The need for a transdisciplinary systems approach
R Threlkeld, L Ashiku, C Canfield, DB Shank, MA Schnitzler, KL Lentine, ...
Current transplantation reports, 1-9, 2021
102021
Machine learning models and big data tools for evaluating kidney acceptance
L Ashiku, M Al-Amin, S Madria, C Dagli
Procedia Computer Science 185, 177-184, 2021
92021
Agent based cybersecurity model for business entity risk assessment
L Ashiku, C Dagli
2020 IEEE International Symposium on Systems Engineering (ISSE), 1-6, 2020
52020
Complex System Methodology for Meta Architecture optimization of the Kidney Transplant System of Systems
R Threlkeld, L Ashiku, C Dagli
2022 17th Annual System of Systems Engineering Conference (SOSE), 304-309, 2022
32022
Identifying AI Opportunities in Donor Kidney Acceptance: Incremental Hierarchical Systems Engineering Approach
L Ashiku, R Threlkeld, C Canfield, C Dagli
IEEE International Systems Conference, 1-8, 2022
32022
Identify Hard-to-Place Kidneys for Early Engagement in Accelerated Placement With a Deep Learning Optimization Approach
L Ashiku, C Dagli
Transplantation Proceedings 55 (1), 38-48, 2023
22023
Computational Intelligence Approach to SoS Architecting and Analysis
C Dagli, R Threlkeld, L Ashiku
Systems Engineering for the Digital Age: Practitioner Perspectives, 637-664, 2023
2023
AI-Enabled Digital Support to Increase Placement of Hard-to-Place Deceased Donor Kidneys
R Threlkeld, L Ashiku, C Dagli, C Canfield, K Lentine, M Schnitzler, H Randall
AMERICAN JOURNAL OF TRANSPLANTATION 23, 815-816, 2023
2023
A Use Case for Developing Meta Architectures with Artificial Intelligence and Agent Based Simulation in the Kidney Transplant Complex System of Systems
R Threlkeld, L Ashiku, C Dagli
2023 18th Annual System of Systems Engineering Conference (SoSe), 1-6, 2023
2023
Donor Disposition AI Model to Predict Transplant for Recovered Deceased Donor Kidneys.
L Ashiku, R Threlkeld, C Dagli, M Schnitzler, C Canfield, K Lentine, ...
AMERICAN JOURNAL OF TRANSPLANTATION 22, 652-653, 2022
2022
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