Maliheh Hariri

Photo of Maliheh Hariri


University of Lübeck
Institute of Telematics
Ratzeburger Allee 160
23562 Lübeck
Gebäude 64, 2nd Floor, Raum 38

Email: maliheh.hariri(at)student.uni-luebeck.de
Phone:

CV:

  • Doctoral Student (Dr.-Ing.) in Computer Science at the Institute of Telematics, University of Lübeck, supervised by Prof. Dr. Stefan Fischer,

  • Master's Degree in Computer Engineering at the Engineering Department, Ferdowsi University of Mashhad, supervised by Prof. Dr. Saeid Abrishami and Prof. Dr. Mostafa Nouri-Baygi

  • Bachelor's Degree in Computer Engineering at the Engineering Department, Bojnord University

  • Born in 28 of April, in Bojnord, Iran

Research Interests:

  • Cloud Conitnuum areas

  • Physical Neural Networks

  • Scheduling

  • Optimization

  • QoS

Publication:

2026

Maliheh Hariri, Nazli Siasi, and Stefan Fischer, “Hybrid Deadline-Aware Scheduling for Workflow-Derived SFCs in Fog Computing”, 17th International Conference on Cloud Computing Technology and Science.

2026

Maliheh Hariri, Hamid Reza Abrishami, "A Privacy-Aware Scheduling Algorithm for Demand Response in Smart Grid Using Hybrid Cloud Computing", 34th International Conference on Electrical engineering.

2026

Maliheh Hariri, Stefan Fischer, "Trust_Aware Output Management for Physical Neural Network in Cloud Continuum Areas" arXiv preprint arXiv:2609.22443, 2026

2026

Stefan Fischer, Maliheh Hariri, and Sebastian Otte. "phys-MCP: A Control Plane for Heterogeneous Physical Neural Networks." arXiv preprint arXiv:2605.04256 (2026).

2025

Malihe Hariri, Hamid Reza Abrishami, and Vahid Baghishani. "Cloud-Based Energy Management for Single Consumers: Integrating IoT, Demand Response, and Renewable Energy for Enhanced Energy Efficiency.", 29th International Electrical Power Distribution Conference (EPDC), pp. 1-9. IEEE, 2025.

2022

Hariri, Malihe, Mostafa Nouri-Baygi, and Saeid Abrishami. "A hybrid algorithm for scheduling scientific workflows in IaaS cloud with deadline constraint: M. Hariri et al." The Journal of Supercomputing 78, no. 15 (2022): 16975-16996.