Bengt Lindoff

Chief Systems Architect at BeammWave

Bengt Lindoff has a diverse work experience spanning multiple industries and roles. Bengt is currently the CEO and Owner of Bengt Lindoff Innovation AB, where they provide consulting services as a researcher and technical expert, assessing patent value within wireless communication and supporting innovative companies with inventing, patent creation, and IP strategies. Bengt is also a Board Member and Chief Systems Architect at BeammWave since 2018. Additionally, Bengt has worked as a patent miner and IP advisor at Qvantum Industries, BrainLit, and E.ON Sverige. Bengt served as an Independent Contractor as a Senior Principal Researcher at Huawei Technologies and as a Patent Miner at Fingerprint Cards. Prior to that, they worked at Ericsson AB as a Principal Researcher, Expert, and Senior Specialist. Bengt also held a part-time position as an Associate Professor at The Faculty of Engineering at Lund University, LTH.

Bengt Lindoff's education history is as follows:

From 1985 to 1988, Bengt attended Midskogsskolan in Luleå, where they pursued a Tekniskt Linje degree, including Specialidrott focus on Basketball.

After completing their studies at Midskogsskolan, Bengt joined The Faculty of Engineering at Lund University. Bengt enrolled in the Bachelor's program in Electrical Engineering and successfully obtained a Master of Science (MSc) degree in this field between 1988 and 1992.

Following their Master's degree, Bengt continued their academic journey at the same institution. From 1993 to 1997, they pursued a Doctorate of Philosophy (PhD) degree, specializing in mathematical statistics and probability.

Building upon their doctoral studies, Bengt further expanded their expertise in the field of mathematical statistics and probability at The Faculty of Engineering at Lund University. Bengt achieved the degree of Docent, which was obtained from 1998 to 2002.

Based on the provided chronological information, Bengt Lindoff's educational background includes a Master of Science (MSc) degree in Electrical Engineering, a Doctor of Philosophy (PhD) degree in Mathematical Statistics and Probability, and a Docent degree in Mathematical Statistics and Probability.

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