Negar Afrasiabi

Passionate about research and dedicated to remaining at the forefront of technological advancements, I hold a Ph.D. in Information and System Engineering from Concordia University. With a strong background in designing network optimization and machine learning algorithms, I am eager to leverage my expertise for a research position in this broad area.

• Proven expertise in cutting-edge technologies such as cloud computing, edge computing, network functions virtualization (NFV), software-defined networking (SDN), 5G/6G, and Internet of Things (IoT).
• Experience over a range of programming/Scripting languages.
• Knowledge of Machine Learning, Reinforcement Learning, Heuristic algorithm, Integer Linear Programming.
• Proven publication records in very high-ranked Journals and Conferences.
• Involved in different projects with Ericsson & CISCO.
• Collaboration skills, analytical mindset, self-motivation, goal-oriented, good teamwork spirit, and adaptability.

Reinforcement Learning-based Optimization Framework for Application Component Migration in NFV Cloud-Fog Environments : 

• Cisco and Ericsson funded project
• Adopted an MDP framework and Designed a deep Reinforcement Learning (DRL) algorithm empowered by LSTM memory cells.
• The implementation was done in Python and utilized TensorFlow.

Cluster Migration of VNFs for Service Function Chain Embedding : 

• Ericsson-funded project, implemented in Java
• Investigated and solved using algorithmic and optimization-based solutions the problem of cluster migration of Network Function Virtualization.
• Proposed efficient heuristic algorithms and demonstrated that the proposed algorithms reduce the total embedding cost by 14% compared to existing heuristics.

Joint VNF Decomposition and Migration for VNF Forwarding Graph Embedding : 

• Ericsson-funded project, implemented and evaluated in Ericsson Testbed.
• Propose efficient heuristics algorithms, resulting in a 62% decrease in the embedding cost compared to existing approaches.

h-Horizon Sequential Look-ahead Greedy Algorithm for VNF-FG Embedding:

• Ericsson funded project, implemented and evaluated in Ericsson Testbed.
• Design and implementation of a greedy-heuristic algorithm for VNF placement problem.

A platform as a service for IoT Hybrid Cloud/ Fog environment, 

• A Cisco-funded project, implemented on Cloudify and Microsoft Azure.
• Design and implementation a PaaS for IoT application provisioning for hybrid Cloud/Fog environment.

Journal Articles

• S. N. Afrasiabi, A. Ebrahimzadeh, N. Promwongsa, C. Mouradian, W. Li, .. Recse, R. Szab., and R. H. Glitho, “Cost-efficient cluster migration of VNFs for service function chain embedding,” IEEE Transactions on Network and Service Management, pp. 1–1, 2023.
• Recse, N. Promwongsa, A. Ebrahimzadeh, S. N. Afrasiabi, C. Mouradian, W. Li, R. Szab., and R. H. Glitho, “Look-ahead VNF-FG embedding framework for latency-sensitive network services,” IEEE Transactions on Network and Service Management, pp. 1–1, 2023.
• S. N. Afrasiabi, A. Ebrahimzadeh, C. Mouradian, S. Malektaji, and R. H. Glitho, “Reinforcement learning-based optimization framework for application component migration in NFV cloud-fog environments,” IEEE Transactions on Network and Service Management, pp. 1–1, 2022.
• C. Mouradian, F. Ebrahimnezhad, Y. Jebbar, J. K. Ahluwalia, S. N. Afrasiabi, R. H. Glitho, and A. Moghe, “An IoT platform-as-a-service for NFV-based hybrid cloud/fog systems,” IEEE Internet of Things Journal, vol. 7, no. 7, pp. 6102–6115, 2020.

Conference Proceedings

• S. N. Afrasiabi, A. Ebrahimzadeh, A. Azhdari, W. Li, C. Mouradian, R. Szabó, R. H. Glitho, Joint VNF decomposition and migration for cost-efficient VNF forwarding graph embedding, 2023 IEEE Conference on Global Communications Conference Networks (GLOBECOM), 2023.
• A. Azhdari, A. Ebrahimzadeh, S. N. Afrasiabi, R. Szabó, C. Mouradian, W. Li, R. H. Glitho, Cost-aware topological decomposition of virtual network function forwarding graphs, 2023 IEEE Conference on Global Communications Conference Networks (GLOBECOM), 2023.
• A. Ebrahimzadeh, N. Promwongsa, S. N. Afrasiabi, C. Mouradian, W. Li, Á. Recse, R. Szabó, R. H. Glitho, H-horizon sequential look-ahead greedy algorithm for VNF-FG embedding, 2021 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), 41-46, 2021.
• S. N. Afrasiabi, S. Kianpisheh, C. Mouradian, R. H. Glitho, A. Moghe, Application components migration in NFV-based hybrid cloud/fog systems, 2019 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN), 1-6, 2019.

Patents

• A. Ebrahimzadeh, N. Promwongsa, W. Li, C. Mouradian, R. R. Szabó, S. N. Afrasiabi, R. H. Glitho, Scalable method and apparatus for real-time topological decomposition of network services, U.S. P103019, 2021.
• W. Li, C. Mouradian, R. R. Szabó, S. N. Afrasiabi, A. Ebrahimzadeh, R. H. Glitho, Cost-efficient joint Virtual Network Function (VNF) decomposition and migration, U.S. P107858WO01, April 2023

• Merit Scholarship, Concordia University
• 2017 International Tuition Award of Excellence, Concordia University
• 2015 Ranked 1st Student among more than 100 students of Computer science department, Amirkabir University
• Received the distinction on the Master Thesis, Amirkabir University

Available on Request