Mounir Bensalem
Research Assistant,
PhD Candidate — TU Braunschweig
Email: mounir.bensalem@tu-bs.de
LinkedIn: linkedin.com/in/mounir-bensalem
GitHub: github.com/mounir-bs
Skills
Programming & Languages
Python
C
C++
Bash
Linux
Git
Machine Learning & AI
Machine Learning
Deep Learning
Reinforcement Learning
Deep Reinforcement Learning
Transformers
Large Language Models
Fine-tuning
RAG Pipelines
Edge AI
TinyML
Split Learning
AI Orchestration
Agentic AI
Autonomous AI Agents
Multi-Agent Systems
AI Systems Integration
Scalable AI Systems
Model Versioning
Agentic AI Frameworks
OpenAI Agents SDK
CrewAI
LangGraph
Autogen
MCP Framework
Frameworks & Libraries
PyTorch
TensorFlow
scikit-learn
NumPy
Pandas
Matplotlib
Optimization & Modeling
Optimization
Linear Programming
Gurobi
CPLEX
Resource Allocation
Simulation
Performance Evaluation
Cloud, Edge & Serverless Computing
Cloud Computing
Edge Computing
Serverless Computing
Infrastructure & Deployment
Docker
Kubernetes
Containerization
System Administration
Model Deployment
Networking & Security
HTTP/MQTT
Routing
Certificate Management
Network Security
6G Networks
Reconfigurable Intelligent Surfaces
Data Engineering & Visualization
Data Analysis
Data Pipeline Design
Data Visualization
Research & Development
Research and Development
Scientific Writing
Project Management
Collaboration
Communication
Problem Solving
Mentorship
Open Source Development
About me
Senior computer networks researcher with 7 years of versatile expertises in network architecture design, software development, AI/ML design and implementation, and data engineering. Experienced in cutting-edge research with multiple publications and patents. Enjoys working in teams and solving complex problems, eager to gain authentic insights into consulting in technical business contexts.
Education
Ph.D. candidate in Electrical and Computer Engineering
Technische Universität Braunschweig, 2019 -- present.
M.Sc. in Information System Techniques
National Engineering School of Tunis, Tunisia, 2016 - 2017.
Engineer's Diploma in Industrial Engineering
National Engineering School of Tunis, Tunisia, 2012 - 2017.
Experience
Scientific staff member Wissenschaftlicher Mitarbeiter - Technische Universität Braunschweig, 2019 -- present.
EU HORIZON MANOLO: Trustworthy Efficient AI for Cloud-Edge Computing, 2024-2026
- Investigator and innovator of MANOLO proposal, securing total funding of €8.6 million.
- Lead AI engineer of MANOLO AI-driven Topology Manager: mapping the requirements of AI tasks to computing resources.
- Mentoring junior PhD student on advanced networking and AI topics.
- Main industry partners involved: ATOS, EVIDEN, PAL ROBOTICS, FRAUNHOFER IIS, BIT & BRAIN, ARX NET.
EU H2020 FISHY: A coordinated framework for cyber resilient supply chain systems over complex ICT infrastructures, 2020 -- 2023.
- Investigator and innovator of FISHY proposal, securing total funding of €5 million.
- Lead software engineer for the FISHY solution, the first IT-supply chain security solution in Europe, including developing the AI-based Intent-based Resilience Orchestrator solution.
- Created a recommendation engine using collaborative filtering and deep learning techniques for resource estimation.
- Contributed to design and implementation of core modules: Trust Manager and orchestration integration.
- Main industrial partners involved: ATOS, XLAB, TELEFONICA, ALTRAN, SPHYNX.
DFG - FOR 2863: Metrology for Parallel THz Communication Channels, 2019 -- 2022.
- Investigator of METERACOM proposal, securing total funding of €2.8 million.
- Open source developer of a THz Simulator for ML-based channel estimation.
- Main partners involved: NPL, PTB, TUBS, Uni. of Stuttgart, TU Ilmenau.
Research intern Technische Universität Braunschweig, 2017 -- 2019.
EU H2020 mF2C: Towards an Open, Secure, Decentralized and Coordinated Fog-to-Cloud Management Ecosystem, 2017 -- 2019.
- Software developer for the mF2C platform, first of a kind; software engineer of the Analytics Module using LSTM networks for traffic prediction, as part of the first ML solution in IoT-edge-cloud contiuum.
- Main industrial partners involved: ATOS, INTEL, XLAB, SIXSQ, ENGINEERING, WORLDSENSING.
Master Thesis: Design and Implementation of a heuristic (particle swarm optimization) for VNF placement.
- Designed and implemented a PSO-based solver in Python, compared results with baseline ILP.
- Published a workshop paper in a Springer class A conference. [link]