Hussein SROUR, Ph.D., Eng.

Objective: Drive business growth and create new business opportunities by proposing solutions that meet customer needs and align with company's product/solution landscape.
· Lead engagements with potential key customers in Europe/Asia to understand their business needs and technical requirements, building strong relationships during the pre-sales process.
· Deliver persuasive presentations and product-based demonstrations to customers, showcasing the benefits and features of proposed solutions, supporting PoCs based upon customer requirements.
· Act as Technical Bid Manager to coordinate the technical aspect of bid and proposal preparation including effort estimation, ensuring that all technical proposal is accurate, feasible, and competitive.
· Work closely with sales, marketing, engineering, and product management, product innovation teams to ensure solution feasibility and alignment with company capabilities and strategy.

Achievement:

· Successful engagement with a range of customers leading to numerous binding offers and purchase orders.

Objective: Develop Perception Edge Applications for C-V2X use cases in the context of 5GAA and 5G Open Road trial projects.

5GAA:

· Propose an AI-based solution to detect/track VRU and to output the awareness/collision notifications.

· Work in a complex stakeholder environment to integrate the solution in Edge Compute platform.

· Coordinate internal and the other partners’ teams (Intel, Harman, TIM) during the pre-test and final test phases.

· Trial video: https://5gaa.org/live-trial-of-5g-connected-car-concept-to-launch-in-turin-italy/

5G Open Road:

· Work with the consortium partners to define Edge (5G-MEC) architecture, road map and requirements.

· Participate in defining the of solution architectures of use-cases.

· Propose a technical planning of the resulting activities and team ramp-up.

Objective: Develop intent and motion prediction algorithms based on Deep Learning and Recurrent Neural Networks

· Lead a small research team to propose intent/motion prediction methods based on Deep Learning/ RNN/LSTM.

· Integrate and test the Deep Learning intent model using Carla simulator.

· Communication: NVIDIA GTC 2021 conference presentation: “Vehicle Trajectory Prediction: Performant, Validated, Trusted”.

Doctoral research project: “Investigation of RCS-enhancement devices inspired from reflectarrays and metamaterials”

· Design of a reflector operating at 24 GHz (using HFSS software),fabrication of a prototype and experimental validation using RF instrumentation.

· Two publications in international revues.

Master thesis: “Integrated antenna using metamaterials”

- Design of miniaturized antennas of arbitrary shape inspired by metamaterials.

- Co-authoring a patent.