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Dr. Sina Khatibi
Experienced AI/ML Lead and Project Manager with a proven track record in leading AI/ML initiatives for network optimization in 5G/6G environments. Demonstrated success in project management, cross-functional team leadership, and the development of AI-driven solutions at renowned organizations.
Professional Background
With extensive expertise in AI and machine learning, I specialize in driving digital transformation within telecommunications. My background includes leading AI-driven projects for 5G and 6G networks, enhancing performance, and developing scalable AI strategies to meet the unique demands of the telecom industry.
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 for Telecommunications: Pioneering advancements in Artificial Intelligence and Machine Learning for Radio Access Networks (RANs), Mobile Network Cores, and Network Automation, including cutting-edge collaborative learning techniques like Vertical and Horizontal Federated Learning (VFL & HFL).
- MLOps (Machine Learning Operations): Streamlining the ML lifecycle with best practices in deployment, monitoring, and scalability of AI models.
- Data Processing & Modeling: Expertise in ETL (Extract, Transform, Load) processes and advanced data modeling to unlock insights from complex datasets.
- Mobility Optimization: Specialized in RAN2/RAN3 mobility procedures, including seamless handover, MRO (Mobility Robustness Optimization), and cross-domain AI integration for enhanced connectivity.
- Network Data Analytics: Driving data-driven insights using NWDAF (Network Data Analytics Function) and innovative frameworks like Event Exposure (EVEX) for efficient data collection in RAN and Core networks.