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10 questions for the professor // Petar Popovski – Agenda
Describe yourself in 3 words Curious time struggler.
What did you want to be as a kid? A musician.
What are you professionally most proud of? (1) Some research topics I helped to be started. (2) My recently published book on wireless connectivity, low on math, but high on intuition. It also has a cartoon for each chapter. (3) The fact that the researchers are happy to be in my group.
If you won 10 million kroner, what would you do? Excuse to the family that I cannot take them to a nice place right now due to the pandemic and then invest the money in stocks and startups.
What’s the craziest thing that has happened to you? I have changed the country I am living in two times: in 2001 by moving, in 1991 without moving.
Who, dead or alive, would you like to meet the most? Three persons, in fact, and all three of them are dead, so they cannot disappoint me. Niels Bohr, because he was both a brilliant thinker and a brilliant human being that saved a large number of people that were escaping from the Nazis. Hedy Lamarr, a Hollywood actress that patented a method for secure communication used today in wireless systems, such as Bluetooth. Miles Davis, because he reinvented the jazz music several times.
What’s the worst thing about your job? Having constantly to find money for my research, while the general public often believes that money is just raining onto universities from the government.
What’s your favourite food? Stuffed vine leaves, Macedonian version.
What animal would you like to be? Not sure, but I am envious of those animals that can fly.
What’s your current project? I am working on more than 15 different projects and articles, let me just mention some. A lot of our works are on concepts and technologies that are going to come after 5G, such as, for example, satellite communication for mega-constellations. Another direction is related to smart contracts and distributed ledgers: the big picture there is to create methods for communication and data processing that will bring value to the data owner. For example, many internet companies offer free service to collect user data and then use this data to earn on their algorithms. The question then is: can the users and the devices that provide data get part of that revenue, as a form of payment for taking part of their privacy? Another similar direction of work is related to Internet of Things technologies that can enable trustworthy carbon emission monitoring and trading. And a couple of more projects.