Terbium to Quantum Dot FRET Bioconjugates for Clinical Diagnostics: Influence of Human Plasma on Optical and Assembly Properties. - Frank Morgner; Stefan Stufler; Daniel Geißler; Igor L. Medintz; W. Russ Algar; Kimihiro Susumu; Michael H. Stewart; Juan B. Blanco-Canosa; Philip E. Dawson; Niko Hildebrandt (Sensors, 2011)

Simplified simulation model of continuously transposed cable for linear and nonlinear buckling analysis. - Daniel Geißler; Christian Geißler; Thomas Leibfried (Math. Comput. Simul., 2016)

CaptAinGlove: Capacitive and Inertial Fusion-Based Glove for Real-Time on Edge Hand Gesture Recognition for Drone Control. - Hymalai Bello; Sungho Suh; Daniel Geißler; Lala Shakti Swarup Ray; Bo Zhou 005; Paul Lukowicz (UbiComp/ISWC Adjunct, 2023)

MoCa'Collection: Normalizing Dynamic Textile Geometry with Capacitive Sensing in Design Centric Wearables. - Daniel Geißler; Esther Friederike Zahn; Hymalai Bello; Lala Shakti Swarup Ray; Emil Woop; Bo Zhou 005; Paul Lukowicz; Gesche Joost (UbiComp/ISWC Adjunct, 2023)

Capafoldable: Self-tracking Foldable Smart Textiles With Capacitive Sensing. - Lala Shakti Swarup Ray; Daniel Geißler; Bo Zhou 005; Paul Lukowicz; Berit Greinke (UbiComp/ISWC Adjunct, 2023)

Latent Inspector: An Interactive Tool for Probing Neural Network Behaviors Through Arbitrary Latent Activation. - Daniel Geißler; Bo Zhou 005; Paul Lukowicz (IJCAI, 2023)

MoCaPose: Motion Capturing with Textile-integrated Capacitive Sensors in Loose-fitting Smart Garments. - Bo Zhou 005; Daniel Geissler; Marc Faulhaber; Clara Elisabeth Gleiss; Esther Friederike Zahn; Lala Shakti Swarup Ray; David Gamarra; Vítor Fortes Rey; Sungho Suh; Sizhen Bian; Gesche Joost; Paul Lukowicz (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

The Power of Training: How Different Neural Network Setups Influence the Energy Demand. - Daniel Geißler; Bo Zhou 005; Mengxi Liu; Sungho Suh; Paul Lukowicz (ARCS, 2024)

TSAK: Two-Stage Semantic-Aware Knowledge Distillation for Efficient Wearable Modality and Model Optimization in Manufacturing Lines. - Hymalai Bello; Daniel Geißler; Sungho Suh; Bo Zhou 005; Paul Lukowicz (ICPR (25), 2024)

ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-Based Human Activity Recognition. - Lala Shakti Swarup Ray; Daniel Geißler; Mengxi Liu; Bo Zhou 005; Sungho Suh; Paul Lukowicz (ICPR (29), 2024)

CoSS: Co-optimizing Sensor and Sampling Rate for Data-Efficient AI in Human Activity Recognition. - Mengxi Liu; Zimin Zhao; Daniel Geißler; Bo Zhou 005; Sungho Suh; Paul Lukowicz (CoRR, 2024)

Initial Investigation of Kolmogorov-Arnold Networks (KANs) as Feature Extractors for IMU Based Human Activity Recognition. - Mengxi Liu; Daniel Geißler; Dominique Nshimyimana; Sizhen Bian; Bo Zhou 005; Paul Lukowicz (CoRR, 2024)

Leveraging Hybrid Intelligence Towards Sustainable and Energy-Efficient Machine Learning. - Daniel Geissler; Paul Lukowicz (CoRR, 2024)

Misinforming LLMs: vulnerabilities, challenges and opportunities. - Bo Zhou 005; Daniel Geißler; Paul Lukowicz (CoRR, 2024)

ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-based Human Activity Recogntion. - Lala Shakti Swarup Ray; Daniel Geißler; Mengxi Liu; Bo Zhou 005; Sungho Suh; Paul Lukowicz (CoRR, 2024)

Towards certifiable AI in aviation: landscape, challenges, and opportunities. - Hymalai Bello; Daniel Geißler; Lala Shakti Swarup Ray; Stefan Müller-Divéky; Peter Müller; Shannon Kittrell; Mengxi Liu; Bo Zhou 005; Paul Lukowicz (CoRR, 2024)

Enhancing Interpretability Through Loss-Defined Classification Objective in Structured Latent Spaces. - Daniel Geissler; Bo Zhou 005; Mengxi Liu; Paul Lukowicz (CoRR, 2024)

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization. - Daniel Geissler; Bo Zhou 005; Sungho Suh; Paul Lukowicz (CoRR, 2024)

Beyond Confusion: A Fine-grained Dialectical Examination of Human Activity Recognition Benchmark Datasets. - Daniel Geissler; Dominique Nshimyimana; Vítor Fortes Rey; Sungho Suh; Bo Zhou 005; Paul Lukowicz (CoRR, 2024)

Head 'n Shoulder: Gesture-Driven Biking Through Capacitive Sensing Garments to Innovate Hands-Free Interaction. - Daniel Geißler; Hymalai Bello; Esther Friederike Zahn; Emil Woop; Bo Zhou 005; Paul Lukowicz; Jakob Karolus (Proc. ACM Hum. Comput. Interact., 2024)

Multi-Partner Project: Sustainable Textile Electronics (STELEC). - Bo Zhou 005; Mengxi Liu; Sizhen Bian; Daniel Geißler; Paul Lukowicz; José Miranda; Jonathan Dan; David Atienza; Mohamed Amine Riahi; Norbert Wehn; Russel N. Torah; Sheng Yong; et al. (DATE, 2025)

Strategies and Challenges of Efficient White-Box Training for Human Activity Recognition. - Daniel Geißler; Bo Zhou 005; Paul Lukowicz (PerCom Workshops, 2025)

Assessing the Impact of Sampling Irregularity in Time Series Data: Human Activity Recognition As A Case Study. - Mengxi Liu; Daniel Geißler; Sizhen Bian; Bo Zhou 005; Paul Lukowicz (PerCom Workshops, 2025)

Towards Sustainable Web Agents: A Plea for Transparency and Dedicated Metrics for Energy Consumption. - Lars Krupp; Daniel Geißler; Paul Lukowicz; Jakob Karolus (CoRR, 2025)

Talk2X - An Open-Source Toolkit Facilitating Deployment of LLM-Powered Chatbots on the Web. - Lars Krupp; Daniel Geißler; Peter Hevesi; Marco Hirsch; Paul Lukowicz; Jakob Karolus (CoRR, 2025)

Human in the Latent Loop (HILL): Interactively Guiding Model Training Through Human Intuition. - Daniel Geissler; Lars Krupp; Vishal Banwari; David Habusch; Bo Zhou 005; Paul Lukowicz; Jakob Karolus (CoRR, 2025)

MoCaPose: Motion Capture with Textile-Integrated Capacitive Sensors A New Approach to Wearable Tracking. - Bo Zhou 005; Daniel Geißler; Lala Shakti Swarup Ray; Vitor F. Rey; Sungho Suh; Sizhen Bian; Gesche Joost; Paul Lukowicz (GetMobile Mob. Comput. Commun., 2025)

iBreath: Usage Of Breathing Gestures as Means of Interactions. - Mengxi Liu; Daniel Geißler; Deepika Gurung; Hymalai Bello; Bo Zhou 005; Sizhen Bian; Paul Lukowicz; Passant Elagroudy (CoRR, 2025)

TinierHAR: Towards Ultra-Lightweight Deep Learning Models for Efficient Human Activity Recognition on Edge Devices. - Sizhen Bian; Mengxi Liu; Vítor Fortes Rey; Daniel Geissler; Paul Lukowicz (CoRR, 2025)