Welcome to Homepage of
Dr. Sina Khatibi
a Senior Radio Research Specialist at Nokia in Munich, Germany. With a passion for cutting-edge telecommunications technologies, I lead the charge in shaping the future of connectivity through my extensive expertise in 5G and 6G radio research.
Professional Background
In my role as the project lead for artificial data generation and the 6G Network-Level simulation platform at Nokia, I oversee the design and implementation of our internal 6G simulator, critical research tooling mostly in AI/ML, and data pipelines and synthetic data generation strategies. Concurrently, my leadership extends to AI/ML standard research activities in 5G/6G systems, focusing on 3GPP SA2 (Rel. 18 and Rel. 19), and collaborating across domains (RAN/Core).
Educational Journey
I completed my Ph.D. at the IST – University of Lisbon, a prestigious institution globally renowned for its academic excellence. My doctoral thesis, “Radio Resource Management Strategies in Virtual Networks,” introduced the concept of virtualizing radio resources to offer Capacity-as-a-Service to multiple Virtual Network Operators (VNOs). This groundbreaking work involved comprehensive modeling using optimization techniques, leading to numerous publications in esteemed journals, conferences, and book sections.
Projects and Research Activities
Throughout my career, I have actively contributed to European research projects, including Mobile Cloud Networking (MCN), NEWCOM#, and COST IC1004. I have lead our research team in 5G NORMA and 5G MoNArch Projects. Currently, I active in Nokia’s Internal Projects focusing on AI/ML standardization research for SA2, SA5, and RAN. In addition, I am the Project Lead for 6G Network Simulator and Artificial Data generation Project.
Area of Focus
- AI/ML: Pioneering advancements in Artificial Intelligence and Machine Learning applications for research in Radio Access Networks (RANs), Mobile Network Cores, and Network Automation.
- Expertise in cutting-edge collaborative learning techniques including but not limited to Vertical and horizontal Federated Learning (VFL & HFL),
- MLOps (Machine Learning Operations): Implementing best practices in MLOps to streamline and enhance the machine learning lifecycle.
Data Processing (ETL and Data Modeling): Proficient in Extract, Transform, Load (ETL) processes and data modeling techniques to derive meaningful insights from complex datasets. - Mobility Procedures (RAN2/RAN3): Specialized knowledge in ensuring seamless connectivity through efficient handover procedures.
- MRO (Mobility Robustness Optimization): Leading the integration of AI/ML approaches for robust mobility optimization.
- NWDAF (Network Data Analytics Function): Driving data-driven insights through Network Data Analytics Function.
- Event Exposure (EVEX) framework, Data Collection in RAN and Core,
Contact Me
If you are interested in exploring more about my work or wish to connect, please feel free to reach out. I am always eager to engage in discussions and collaborations within the dynamic field of telecommunications.