Jafar Hosseini

• Work on L1/Radio in the scope of LTE/5G across overseas teams within Nokia, with the following activities:

-> Embedded programming on specialized DSP-based SOCs

-> Contribution to migration/refactoring for baseband functional splits

-> Collaboration on system component testing at both x86 and Arm level

etc.

• Logistics optimization and smart management in the scope of Industry 4.0:

-> Development of automated camera-based solutions using computer vision and deep learning/AI

-> Tailored solutions to monitor factory transport vehicles' motion and trajectory

-> Assisted in developing cost-effective solutions to full-stack software (backend, frontend, etc) and improved team productivity by providing technical guidance

etc.

• Research and implementation of Biometrics authentication platforms:

-> Work on edge products for AI-driven face recognition for border control at airports

-> Development of deep learning models for biometric recognition (face, iris, fingerprint)

.-> Architected data engineering pipelines to support machine learning workflows

etc

• Design and implementation of computer vision solutions on raspberry Pi

-> Precise counting of people flow using a 3D sensor for entry/exit monitoring and occupancy estimation

-> Conducted research to identify and evaluate new technologies and concepts

etc.

• PhD activities along with participation in R&D projects

-> Surface reconstruction from a single view

-> 3D registration and mapping

-> Involved in a project on omnidirectional camera projection and calibration

etc.

• Involved in an EU project called HANDLE (www.handle-project.eu) for robotic grasping and manipulation based on sensor fusion