Mikhail Fomichev is an IT/OT security expert and PhD in Computer Science from TU Darmstadt with nine years of experience bridging usable IoT authentication and privacy-preserving analytics. He has transitioned academic research—on device pairing, usable security, and privacy-aware complex event processing augmented by machine learning—into pragmatic security work at INCYDE. As a postdoctoral researcher and long-term research assistant at TU Darmstadt he published and prototyped privacy-preserving algorithms while championing open code and data. Based in Darmstadt, he combines deep academic rigor (Magna cum laude PhD, cum laude MS from KU Leuven) with hands-on engineering across industrial control and IoT environments. Colleagues would note his uncommon focus on usability within security solutions, ensuring strong defenses that real users can actually adopt.
9 years of coding experience
11 years of employment as a software developer
Technischen Universität Darmstadt
Master of Science - MS, Electrical and Electronics Engineering, Cum laude, Master of Science - MS, Electrical and Electronics Engineering, Cum laude at Katholieke Universiteit Leuven
Master of Science - MS, Computer Engineering, With honors, Master of Science - MS, Computer Engineering, With honors at Petrozavodsk State University (PetrSU)
Source code for experiments and evaluation of five zero-interaction security schemes, for our Ubicomp 2019 paper "Perils of Zero-Interaction Security in the Internet of Things"
Contributions:218 commits, 3 pushes in 2 years 8 months
interactionzerosecurityevaluationschemes
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Mikhail Fomichev - IT OT Security Expert at INCYDE