Michael is a researcher at the Center for Complex Networks Research (CCNR). Before joining the lab, he completed his Ph.D. in the lab of Prof. Shlomo Havlin at Bar-Ilan University in Israel and was an Azrieli Foundation fellow. His doctoral research focused on bringing network models closer to reality: developing a new method to modulate and analyze spatial effects on a network topology, studying the effects of failures and attacks that are localized in space, and developing new types of interdependent models that more closely model real-world systems. With collaborators from RBI in Croatia, Michael developed a new network-based approach to cybersecurity called color-avoiding percolation. Since 2013, Michael has given over a dozen invited and contributed talks at conferences and universities in eight countries and he recently received the award for best oral presentation at NetSciX 2017 in Tel Aviv.
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Michael is a researcher at the Center for Complex Networks Research (CCNR). Before joining the lab, he completed his Ph.D. in the lab of Prof. Shlomo Havlin at Bar-Ilan University in Israel and was an Azrieli Foundation fellow. His doctoral research focused on bringing network models closer to reality: developing a new method to modulate and analyze spatial effects on a network topology, studying the effects of failures and attacks that are localized in space, and developing new types of interdependent models that more closely model real-world systems. With collaborators from RBI in Croatia, Michael developed a new network-based approach to cybersecurity called color-avoiding percolation. Since 2013, Michael has given over a dozen invited and contributed talks at conferences and universities in eight countries and he recently received the award for best oral presentation at NetSciX 2017 in Tel Aviv.
