Rate My Professor Christian Rohner

Christian Rohner is Professor at Uppsala University in the Department of Information Technology, Division of Computer Systems, a position he has held since 1 March 2003. He also holds the title Docent in Computer Science at Uppsala University. Rohner earned his Dr. sc. tech. and Electrical Engineer degrees from ETH Zürich. His earlier career includes work in Communication Systems at Institut Eurecom, IBM Zurich Research Laboratory, and Swisscom. As Coordinator of Systems and Cyber Security for Uppsala University’s Disciplinary Domain of Science and Technology, he oversees research strengths in these areas. Rohner’s research specializations include wireless security, mobile networks, energy efficiency, computer systems, communication systems, Internet of Things, intrusion detection systems, analog backscatter communication, wireless and mobile systems, embedded systems, physical-layer security, machine learning for IoT security, battery modeling for IoT, probabilistic networks, and information theory. He participates in projects such as cybersecurity solutions for industrial digital systems, collaborative computations to enable security in the Internet of Bodies, and robust IoT security through intrusion detection leveraging synthetic data generation.

Rohner has authored or co-authored 119 publications listed in Uppsala University’s DIVA portal, with over 1,151 citations reported on ResearchGate. Key publications include “A Novel Synthetic Battery for Realistic IoT Device Lifetime Prediction” (MSWiM 2025, with L. M. Feeney and C. Martinez Alquezar), “Augmenting BLE Fingerprinting Using Instantaneous Frequency” (WiSec 2025, with G.-A. Stoian and T. Voigt), “On the accurate computation of expected modularity in probabilistic networks” (Scientific Reports 2025, with X. Shen, M. Magnani, and F. Skerman), “Quantifying redundancies and synergies with measures of inequality” (PLOS ONE 2024, with T. Mages), “Channel Estimation for Analog Backscatter Tags” (RFCom 2024, with M. Padmal, D. Piumwardane, and T. Voigt), and “Impact of Attack Variations and Topology on IoT Intrusion Detection Model Generalizability” (MASS 2024, with A. Kaveh and A. Johnsson). He supervises doctoral students, including in cybersecurity and secure control systems, and contributes to conferences on wireless and mobile networks.