Management and configuration issues for sensor networks. - Pedro José Marrón; Andreas Jürgen Lachenmann; Daniel Minder; Matthias Gauger; Olga Saukh; Kurt Rothermel (Int. J. Netw. Manag., 2005)

FlexCup: A Flexible and Efficient Code Update Mechanism for Sensor Networks. - Pedro José Marrón; Matthias Gauger; Andreas Jürgen Lachenmann; Daniel Minder; Olga Saukh; Kurt Rothermel (EWSN, 2006)

Generic Routing Metric and Policies for WSNs. - Olga Saukh; Pedro José Marrón; Andreas Jürgen Lachenmann; Matthias Gauger; Daniel Minder; Kurt Rothermel (EWSN, 2006)

TinyXXL: Language and Runtime Support for Cross-Layer Interactions. - Andreas Jürgen Lachenmann; Pedro José Marrón; Daniel Minder; Matthias Gauger; Olga Saukh; Kurt Rothermel (SECON, 2006)

Generic Model and Architecture for Cooperating Objects in Sensor Network Environments. - Pedro José Marrón; Daniel Minder; Andreas Jürgen Lachenmann; Olga Saukh; Kurt Rothermel (Afr. J. Inf. Commun. Technol., 2006)

Removing the memory limitations of sensor networks with flash-based virtual memory. - Andreas Jürgen Lachenmann; Pedro José Marrón; Matthias Gauger; Daniel Minder; Olga Saukh; Kurt Rothermel (EuroSys, 2007)

Versatile Support for Efficient Neighborhood Data Sharing. - Andreas Jürgen Lachenmann; Pedro José Marrón; Daniel Minder; Olga Saukh; Matthias Gauger; Kurt Rothermel (EWSN, 2007)

Integrating sensor networks in pervasive computing environments using symbolic coordinates. - Matthias Gauger; Pedro José Marrón; Marcus Handte; Olga Saukh; Daniel Minder; Andreas Jürgen Lachenmann; Kurt Rothermel (COMSWARE, 2008)

Time-Bounded and Space-Bounded Sensing in Wireless Sensor Networks. - Olga Saukh; Robert Sauter; Pedro José Marrón (DCOSS, 2008)

MoteFinder: a deployment tool for sensor networks. - Olga Saukh; Robert Sauter; Jonas Meyer; Pedro José Marrón (REALWSN@EuroSys, 2008)

On Boundary Recognition without Location Information in Wireless Sensor Networks. - Olga Saukh; Robert Sauter; Matthias Gauger; Pedro José Marrón; Kurt Rothermel (IPSN, 2008)

Sensor-Based Clustering for Indoor Applications. - Matthias Gauger; Olga Saukh; Marcus Handte; Pedro José Marrón; Andreas Heydlauff; Kurt Rothermel (SECON, 2008)

Enlighten Me! Secure Key Assignment in Wireless Sensor Networks. - Matthias Gauger; Olga Saukh; Pedro José Marrón (MASS, 2009)

Talk to Me! On Interacting with Wireless Sensor Nodes. - Matthias Gauger; Olga Saukh; Pedro José Marrón (PerCom, 2009)

Efficient algorithms for structuring wireless sensor networks. - Olga Saukh (2009)

On boundary recognition without location information in wireless sensor networks. - Olga Saukh; Robert Sauter; Matthias Gauger; Pedro José Marrón (ACM Trans. Sens. Networks, 2010)

TinyLTS: Efficient network-wide Logging and Tracing System for TinyOS. - Robert Sauter; Olga Saukh; Oliver Frietsch; Pedro José Marrón (INFOCOM, 2011)

Efficient network flooding and time synchronization with Glossy. - Federico Ferrari; Marco Zimmerling; Lothar Thiele; Olga Saukh (IPSN, 2011)

Boreas: Efficient Synchronization for Scalable Emulation of Sensor Networks. - Robert Sauter; Richard Figura; Olga Saukh; Pedro José Marrón (MASS, 2011)

Sensing the Air We Breathe - The OpenSense Zurich Dataset. - Jason Jingshi Li; Boi Faltings; Olga Saukh; David Hasenfratz; Jan Beutel (AAAI, 2012)

On-the-Fly Calibration of Low-Cost Gas Sensors. - David Hasenfratz; Olga Saukh; Lothar Thiele (EWSN, 2012)

Visualizing large sensor network data sets in space and time with vizzly. - Matthias Keller; Jan Beutel; Olga Saukh; Lothar Thiele (LCN Workshops, 2012)

Route selection for mobile sensors with checkpointing constraints. - Olga Saukh; David Hasenfratz; Abouzar Noori; Tamara Ulrich; Lothar Thiele (PerCom Workshops, 2012)

Model-Driven Accuracy Bounds for Noisy Sensor Readings. - David Hasenfratz; Olga Saukh; Lothar Thiele (DCOSS, 2013)

On Rendezvous in Mobile Sensing Networks. - Olga Saukh; David Hasenfratz; Christoph Walser; Lothar Thiele (REALWSN, 2013)

Spatially Resolved Monitoring of Radio-Frequency Electromagnetic Fields. - David Hasenfratz; Silvan Sturzenegger; Olga Saukh; Lothar Thiele (SENSEMINE@SenSys, 2013)

Revealing the limits of spatio-temporal high-resolution pollution maps. - David Hasenfratz; Olga Saukh; Christoph Walser; Christoph Hueglin; Martin Fierz; Lothar Thiele (SenSys, 2013)

A reliable wireless nurse call system: overview and pilot results from a summer camp for teenagers with duchenne muscular dystrophy. - Marco Zimmerling; Federico Ferrari; Roman Lim; Olga Saukh; Felix Sutton; Reto Da Forno; Remo S. Schmidt; Marc André Wyss (SenSys, 2013)

Pushing the spatio-temporal resolution limit of urban air pollution maps. - David Hasenfratz; Olga Saukh; Christoph Walser; Christoph Hueglin; Martin Fierz; Lothar Thiele (PerCom, 2014)

Route selection for mobile sensor nodes on public transport networks. - Olga Saukh; David Hasenfratz; Lothar Thiele (J. Ambient Intell. Humaniz. Comput., 2014)

Health-optimal routing in urban areas. - David Hasenfratz; Tabita Arn; Ivo de Concini; Olga Saukh; Lothar Thiele (IPSN, 2015)

Reducing multi-hop calibration errors in large-scale mobile sensor networks. - Olga Saukh; David Hasenfratz; Lothar Thiele (IPSN, 2015)

Pre-Deployment Testing, Augmentation and Calibration of Cross-Sensitive Sensors. - Balz Maag; Olga Saukh; David Hasenfratz; Lothar Thiele (EWSN, 2016)

BARTON: Low Power Tongue Movement Sensing with In-Ear Barometers. - Balz Maag; Zimu Zhou; Olga Saukh; Lothar Thiele (ICPADS, 2017)

SCAN: Multi-Hop Calibration for Mobile Sensor Arrays. - Balz Maag; Zimu Zhou; Olga Saukh; Lothar Thiele (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Capturing Inhalation Efficiency with Acoustic Sensors in Mobile Phones. - Olga Saukh (RealWSN@SenSys, 2018)

Synchronization Games in P2P Energy Trading. - Olga Saukh; Franz Papst; Sergii Saukh (SmartGridComm, 2018)

Deep and Efficient Impact Models for Edge Characterization and Control of Energy Events. - Grigore Stamatescu; Rahim Entezari; Kay Römer; Olga Saukh (ICPADS, 2019)

Embracing Opportunities of Livestock Big Data Integration with Privacy Constraints. - Franz Papst; Olga Saukh; Kay Römer; Florian Grandl; Igor Jakovljevic; Franz Steininger; Martin Mayerhofer; Jürgen Duda; Christa Egger-Danner (IOT, 2019)

An automated real-time and affordable airborne pollen sensing system: poster abstract. - Nam Cao; Olga Saukh; Lothar Thiele (IPSN, 2019)

Quantle: fair and honest presentation coach in your pocket. - Olga Saukh; Balz Maag (IPSN, 2019)

Class-dependent Compression of Deep Neural Networks. - Rahim Entezari; Olga Saukh (CoRR, 2019)

Automated Pollen Detection with an Affordable Technology. - Nam Cao; Matthias Meyer 005; Lothar Thiele; Olga Saukh (EWSN, 2020)

Pollen video library for benchmarking detection, classification, tracking and novelty detection tasks: dataset. - Nam Cao; Matthias Meyer 005; Lothar Thiele; Olga Saukh (DATA@SenSys, 2020)

Localization from activity sensor data: poster abstract. - Franz Papst; Naomi Stricker; Olga Saukh (SenSys, 2020)

Interpretable and Transferable Models to Understand the Impact of Lockdown Measures on Local Air Quality. - Johanna Einsiedler; Yun Cheng; Franz Papst; Olga Saukh (CoRR, 2020)

Transferable Models to Understand the Impact of Lockdown Measures on Local Air Quality. - Johanna Einsiedler; Yun Cheng; Franz Papst; Olga Saukh (DCOSS, 2021)

Towards On-demand Gas Sensing. - Markus-Philipp Gherman; Yun Cheng; Andres Gomez 001; Olga Saukh (DCOSS, 2021)

TIP-Air: Tracking Pollution Transfer for Accurate Air Quality Prediction. - Yun Cheng; Olga Saukh; Lothar Thiele (UbiComp/ISWC Adjunct, 2021)

Compensating Altered Sensitivity of Duty-Cycled MOX Gas Sensors with Machine Learning. - Markus-Philipp Gherman; Yun Cheng; Andres Gomez 001; Olga Saukh (SECON, 2021)

Exploring Co-dependency of IoT Data Quality and Model Robustness in Precision Cattle Farming. - Franz Papst; Katharina Schodl; Olga Saukh (SenSys, 2021)

The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks. - Rahim Entezari; Hanie Sedghi; Olga Saukh; Behnam Neyshabur (ICLR, 2022)

To Share or Not to Share: On Location Privacy in IoT Sensor Data. - Franz Papst; Naomi Stricker; Rahim Entezari; Olga Saukh (IoTDI, 2022)

Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin and Eosin-Stained Histological Images. - Amirreza Mahbod; Rahim Entezari; Isabella Ellinger; Olga Saukh (AMAI@MICCAI, 2022)

Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological Images. - Amirreza Mahbod; Rahim Entezari; Isabella Ellinger; Olga Saukh (CoRR, 2022)

Understanding the effect of sparsity on neural networks robustness. - Lukas Timpl; Rahim Entezari; Hanie Sedghi; Behnam Neyshabur; Olga Saukh (CoRR, 2022)

Studying the impact of magnitude pruning on contrastive learning methods. - Francesco Corti; Rahim Entezari; Sara Hooker; Davide Bacciu; Olga Saukh (CoRR, 2022)

SensorFormer: Efficient Many-to-Many Sensor Calibration With Learnable Input Subsampling. - Yun Cheng; Olga Saukh; Lothar Thiele (IEEE Internet Things J., 2022)

Message from Program Chairs and the Steering Committee Chair. - Salil S. Kanhere; Simone Silvestri; Olga Saukh; Sotiris E. Nikoletseas (DCOSS-IoT, 2023)

Poster: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints on IoT Devices. - Francesco Corti; Christopher Hinterer; Julian Rudolf; Balz Maag; Joachim Schauer; Olga Saukh (EWSN, 2023)

Poster: Automatic Parameter Exploration for Low-Power Wireless Protocols. - Hassaan Hydher; Markus Schuß; Olga Saukh; Carlo Alberto Boano; Kay Römer (EWSN, 2023)

Escaping Adversarial Attacks with Egyptian Mirrors. - Olga Saukh (FedEdge@MobiCom, 2023)

REPAIR: REnormalizing Permuted Activations for Interpolation Repair. - Keller Jordan; Hanie Sedghi; Olga Saukh; Rahim Entezari; Behnam Neyshabur (ICLR, 2023)

Mitigating Distribution Shifts in Pollen Classification from Microscopic Images Using Geometric Data Augmentations. - Nam Cao; Olga Saukh (ICPADS, 2023)

DataComp: In search of the next generation of multimodal datasets. - Samir Yitzhak Gadre; Gabriel Ilharco; Alex Fang; Jonathan Hayase; Georgios Smyrnis; Thao Nguyen; Ryan Marten; Mitchell Wortsman; Dhruba Ghosh; Jieyu Zhang 001; Eyal Orgad; Rahim Entezari; et al. (NeurIPS, 2023)

The Role of Pre-training Data in Transfer Learning. - Rahim Entezari; Mitchell Wortsman; Olga Saukh; Moein Shariatnia; Hanie Sedghi; Ludwig Schmidt (CoRR, 2023)

Representing Input Transformations by Low-Dimensional Parameter Subspaces. - Olga Saukh; Dong Wang; Xiaoxi He; Lothar Thiele (CoRR, 2023)

Geometric Data Augmentations to Mitigate Distribution Shifts in Pollen Classification from Microscopic Images. - Nam Cao; Olga Saukh (CoRR, 2023)

REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints. - Francesco Corti; Balz Maag; Joachim Schauer; Ulrich Pferschy; Olga Saukh (CoRR, 2023)

NET-IT: A Next Generation Intelligent Network Research Agenda. - Karin Anna Hummel; Paul Smith 001; Markus Tauber; Peter Dorfinger; Olga Saukh (ERCIM News, 2023)

Subspace-Configurable Networks. - Dong Wang; Olga Saukh; Xiaoxi He; Lothar Thiele (CoLLAs, 2024)

Exploring Human and Artificial Attention Mechanisms in Driving Scenarios. - Martin Rechberger; Daniel Kraus; Peter Priller; Olga Saukh (SEC, 2024)

Sensor-Guided Adaptive Machine Learning on Resource-Constrained Devices. - Franz Papst; Daniel Kraus; Martin Rechberger; Olga Saukh (IoT, 2024)

Breaking the Illusion: Real-world Challenges for Adversarial Patches in Object Detection. - Jakob Shack; Katarina Petrovic; Olga Saukh (CoRR, 2024)

Forget the Data and Fine-Tuning! Just Fold the Network to Compress. - Dong Wang; Haris Sikic; Lothar Thiele; Olga Saukh (ICLR, 2025)

FocusDD: Real-World Scene Infusion for Robust Dataset Distillation. - Youbing Hu; Yun Cheng; Olga Saukh; Firat Ozdemir; Anqi Lu; Zhiqiang Cao; Zhijun Li 002 (CoRR, 2025)

APEX: Automated Parameter Exploration for Low-Power Wireless Protocols. - Mohamed Hassaan M. Hydher; Markus Schuss; Olga Saukh; Kay Römer; Carlo Alberto Boano (CoRR, 2025)

PCDCNet: A Surrogate Model for Air Quality Forecasting with Physical-Chemical Dynamics and Constraints. - Shuo Wang; Yun Cheng; Qingye Meng; Olga Saukh; Jiang Zhang; Jingfang Fan; Yuanting Zhang; Xingyuan Yuan; Lothar Thiele (CoRR, 2025)

From LLMs to Edge: Parameter-Efficient Fine-Tuning on Edge Devices. - Georg Slamanig; Francesco Corti; Olga Saukh (CoRR, 2025)