Physical and Virtual Resources Inventory Modeling for Efficient VNF Placement. - Leo Popokh; Pablo Olive; Ignacio Aldama; Yaseen Al-Doori; S. Nair (ICCE-Berlin, 2020)

IllumiCore: Optimization Modeling and Implementation for Efficient VNF Placement. - Leo Popokh; Jing Su 004; Suku Nair; Eli V. Olinick (SoftCOM, 2021)

Optimal Resource Allocation in SDN/NFV-Enabled Networks via Deep Reinforcement Learning. - Jing Su 004; Suku Nair; Leo Popokh (ComNet, 2022)

EdgeGym: A Reinforcement Learning Environment for Constraint-Aware NFV Resource Allocation. - Jing Su 004; Suku Nair; Leo Popokh (ICAIC, 2023)

Leveraging Large Language Models for VNF Resource Forecasting. - Jing Su 004; Suku Nair; Leo Popokh (NetSoft, 2024)

DyTwin: Federated Adaptive Digital Twins for Data Centers - Visualization and Anomaly Detection. - Ebad Taheri; Pedro Bruel; Pavana Prakash; Gourav Rattihalli; Ninad Hogade; Aditya Dhakal; Rolando P. Hong Enriquez; Torsten Wilde; Leo Popokh; Dejan S. Milojicic; Cullen E. Bash (SC Workshops, 2024)