Rate My Professor Christian Rohner

Christian Rohner is Professor at Uppsala University in the Department of Information Technology, Division of Computer Systems, within the Disciplinary Domain of Science and Technology, Mathematics and Computer Science. He earned his Dr. sc. tech. and Electrical Engineer degrees from ETH Zürich and holds the title of Docent in Computer Science from Uppsala University. Before joining Uppsala University, Rohner held positions at the Communication Systems department of Institut Eurecom, IBM Zurich Research Laboratory, and Swisscom. His research specializations encompass wireless security, mobile networks, energy efficiency, computer networking, ad hoc networks, network security, wireless sensor networks, wireless communications, information security, and sensor networks. Rohner coordinates systems and cyber security initiatives at Uppsala University and is a key member of the CyberRiskLab, focusing on cybersecurity in IoT systems. He leads multiple funded projects, including 'Batterifria IoT nätverk' (Swedish Research Council, 2019–2022), 'Data generation and sharing for robust intrusion detection in IoT systems' (Vinnova, 2021–2024), 'Ett hållbart IoT genom organiska batterier' (Vinnova, 2023), 'Robust IoT Security: Intrusion Detection Leveraging Contributions from Multiple Systems' (Vinnova, 2023), and 'Collaborative Computations to Enable Security in the Battery-less Internet of Things' (Swedish Research Council, 2025–2028). Additionally, he contributes to the Resilient Internet of Things (RIOT) project.

Rohner has published over 70 works, garnering more than 1,175 citations. Key publications include 'LoRea: A Backscatter Architecture that Achieves a Long Communication Range' (SenSys 2017), 'Evaluating Battery Models in Wireless Sensor Networks' (ADHOC-NOW 2013), 'Towards realistic lifetime estimation in battery-powered IoT devices' (SenSys 2017), 'A Platform for Experiments with Energy Storage Devices for Low-power Wireless Networks' (MSWiM 2018), 'Age of Information-Aware Scheduling for Timely and Scalable Internet of Things Applications' (2019), and recent contributions such as 'On the accurate computation of expected modularity in probabilistic networks' (Scientific Reports 2025), 'Factors Influencing LSTM Model Generalizability for IoT Intrusion Detection' (NetSoft 2025), 'Augmenting BLE Fingerprinting Using Instantaneous Frequency' (WiSec 2025), and 'Non-Negative Decomposition of Multivariate Information: From Minimum to Blackwell-Specific Information' (Entropy 2024). His research advances energy-efficient and secure wireless systems, particularly for IoT and battery-constrained devices, through innovations in backscatter communication, intrusion detection, and network resilience. Rohner has delivered lectures on battery-aware design and participates in doctoral courses like Network Science.