Razvan-Cristian Has

• Focus areas: ADAS and Automated Driving; Electric Powertrain and Control Theory
• Semester Thesis: “Development of a hybrid method for the motion prediction of other traffic participants” (MAN – Hamburg TruckPilot)
• Master Thesis: “Development of a mid-level sensor fusion perception model for 3D Object Detection”

• Bachelor Thesis: „Design of a control system for the all-wheel drive of a PHEV with electric rear axle“

Development of Autonomous Driving Trucks targeting operations across the United States and Europe. Joined as the 11th member of the Munich office; promoted twice since.

• Tech Lead, V&V Strategy — leading the verification and validation effort behind the release of the system for driverless, unsupervised public-road operation, negotiating and tracking the Software and Data Engineering deliverables that produce the objective evidence backing the Safety Case
• Responsible for the verification and validation of the Functional Safety Concept (ISO 26262), and for the V&V strategy that forms a core pillar of the overall safety case (ISO 21448 SOTIF)
• Designing the test environments and the methods that go in them — software- and hardware-in-the-loop, closed course and public road — each targeted at the faults, failures or performance insufficiencies that level can actually reveal
• Agile systems engineering in place of stage-gate reviews — problem, solution, implementation, verification and validation spaces (ISO 15288) held in baseline and re-derived on every stakeholder change request or public-road learning, traced granularly in PALM
• Established technical compliance from a greenfield: integrated a digitised-legislation provider (Certivity) with Jama Connect and defined the process that turns layered UN, EU and German regulation into traceable stakeholder requirements
• Brought up scenario-driven testing for Scania within the TRATON L4 Autonomous Driving programme, tracing requirements through closed-course execution to release documentation and releasing for supervised public-road testing fortnightly — now being adopted as the programme's global process
• Internal process auditor and provisional ASPICE assessor for the organisation, and its first point of contact for business units pursuing process compliance
• Project Lead for the IVECO L4 Autonomous Driving programme in Spain
• Leading development of PALM, the in-house Application Lifecycle Management tool replacing Jama Connect — an enterprise application compliant with ISO 9001, ISO 27001 and ISO 26262 Part 8 tool qualification, built through agentic workflows and shipped fortnightly
• Mentoring systems engineers and programme managers; advising directors and VPs on technical direction

Development of Robotaxis for Ford and Volkswagen targeting operations across the United States and Europe.

• Validation metrics for perception functions, producing safety-case evidence at fleet scale

• Stakeholder requirements for an automotive LiDAR, decomposed from NCAP and the L4 driving task

Development of BMW's Driving Simulator facilitating early validation and pre-development of new ADAS and HMI concepts.

• Integration of new hardware and model development to improve the fidelity of noise, harshness and vibration within BMW's driving simulators
• Independent recognition and initiation of automated calibration procedures
• Participation in early technology studies such as BMW Personal Pilot L3 and BMW Private Audio Zone

Bachelor Thesis in VW's Longitudinal and Lateral Dynamics R&D department involved in a pre-development project of a new Hybrid Powertrain Concept.

• Patent Application: "Method for detecting spinning of a wheel of a vehicle"
• Research in the field of control of novel electrified powertrain concepts
• Process development and execution of simulative and real test procedures

Development of AUDI's Automated Guided Vehicle (AGV) within the technology development for manufacturing assistance systems department.

• Conceptual design and implementation of a Fleet Manager (JAVA) and a real time Visualization of the production hall in Unreal Engine (C++) for the AUDI AGV
• Efficiency increase and cost reduction through automated functionality tests

Three seasons of Formula Student Driverless, from the category's inaugural year, developing autonomous racecars for the international engineering competition.

• Technical Lead for the driverless programme in its first season, joining mid-season as Formula Student Germany introduced the new category
• Team Captain leading 24 students: rebuilt the team after a complete roster turnover, owning recruiting, sponsor acquisition, budget and logistics alongside technical direction
• Developed the driving dynamics control software — launch control and torque vectoring across four electric wheel-hub motors