Per Johansson

Title: Innovations by Per Johansson in Machine Learning and QoE Prediction

Introduction

Per Johansson is a notable inventor based in Skellefteå, Sweden. He has made significant contributions to the field of machine learning, particularly in the area of Quality of Experience (QoE) prediction for voice and video services in wireless networks. With a total of 2 patents, Johansson's work is paving the way for advancements in network performance and user satisfaction.

Latest Patents

Johansson's latest patents focus on a system and method for machine learning-based QoE prediction of voice and video services in wireless networks. This innovative framework develops hybrid voice and video QoE predictors that utilize both network, codec, and client parameters, as well as voice and video reference samples. The prediction model employs deep packet inspection to generate relevant input, allowing for the assessment of the network's impact on voice and video QoE without the need to record actual media content. This hybrid approach distinguishes itself from prior art by using original media information rather than solely relying on recorded media.

Career Highlights

Per Johansson is currently employed at Infovista Sweden AB, where he continues to work on cutting-edge technologies that enhance the performance of wireless networks. His expertise in machine learning and QoE prediction has positioned him as a valuable asset in the tech industry.

Collaborations

Johansson collaborates with various professionals in his field, including his coworker Irina Cotanis, to further develop innovative solutions that address the challenges of modern communication networks.

Conclusion

Per Johansson's contributions to machine learning and QoE prediction are instrumental in advancing wireless communication technologies. His innovative patents reflect a commitment to improving user experiences in voice and video services.