Autonomous District Shuttles for Last-Mile Delivery: Acceptance, Public Requirements, and Their Role in Urban Development
J. Kwossek, B. Eris, M. Bollien, M. Stegemann, K. Altun, M. Halbrügge, T. Jungeblut, S. Meyer, A. Pascanovic, in: HUMANIST Conference 2025, 2025.

AQ-Shuttle: Eine Studie über autonome Quartiers-Shuttle mit Mobilstation in Bielefeld
A. Kaan, B. Eris, M. Halbrügge, T. Jungeblut, R. Naumann, M. Ottemeyer, R. Öztürk, A. Pascanovic, in: 2025, pp. 2–3.

AQ-Shuttle: Autonomous Robots for Last Mile Delivery
J. Kwossek, B. Eris, M. Bollien, K. Altun, A. Pascanovic, M. Halbrügge, M. Stegemann, T. Jungeblut, in: Workshop on Autonomous Delivery and Service Robots on Pedestrian and Cycle Paths, 2025.

Statistical Learning of Daily Routines in the Smart Home for Privacy-Preserving Assisted Living
M. Halbrügge, T. Jungeblut, in: KI@HSBI 2025 - Zukunft Im Fokus, 2025, pp. 13–14.

The More You Know, the Less You Want to Rely on It – Consumer preferences for AI-based health monitoring in smart home systems
I. Jagemann, J. Baudisch, T. Jungeblut, G.W. Maier, G. Hirschfeld, PsychArchives (2025).

Beyond Heatmaps: Evaluating LIME Visualizations for Human Understandability
M. Halbrügge, T. Jungeblut, in: Gesellschaft für Kognitionswissenschaft (Ed.), KogWis 2025. 16th Biannual Conference of the German Cognitive Science Society., 2025.

Advancing Gait Rehabilitation: A Systematic Review of Robotic Exoskeletons for Cerebral Palsy
A.R. Khawaja, P.K. Jamwal, D. Karibzhanova, A. Kapsalyamov, S. Agrawal, Wearable Technologies 6 (2025).

AI-Based Computational Pathology for Precision Lung Cancer Management: A Systematic Review and Meta-Analysis of Diagnostics and Prognostic Algorithms
I. Chegedekova, A. Kapsalyamov, P.K. Jamwal, Z. Kystaubayeva, D. Parthimos, B. Jasani, (2025).

Comparative Analysis of Model-Based and Data-Driven Control for Tendon-Driven Robotic Fingers
K. Suleimenov, A. Kapsalyamov, B. Abdikenov, A. Ozhikenova, Y. Igembay, K. Ozhikenov, Mathematics 13 (2025).

Emerging Frontiers in Robotic Upper-Limb Prostheses: Mechanisms, Materials, Tactile Sensors and Machine Learning-Based EMG Control: A Comprehensive Review
B. Abdikenov, D. Zholtayev, K. Suleimenov, N. Assan, K. Ozhikenov, A. Ozhikenova, N. Nadirov, A. Kapsalyamov, Sensors 25 (2025).

Velocity control of a Stephenson III six-bar linkage-based gait rehabilitation robot using deep reinforcement learning
A. Kapsalyamov, N.A.T. Brown, R. Goecke, P.K. Jamwal, S. Hussain, Neural Computing and Applications 37 (2025) 5671–5682.

Clinical and instrument-based assessment of balance, gait, and motor functions in pediatric cerebral palsy: A systematic review
D. Karibzhanova, P.K. Jamwal, A.R. Khawaja, Z. Kystaubayeva, A. Kapsalyamov, M. Shakenov, S. Agrawal, Wearable Technologies 6 (2025).

From Fisheye to Fusion: Towards Efficient AI-based Indoor Perception for Public Transportation
S. Wermuth, Q.A. Ahmed, T. Jungeblut, in: Workshop on AI and Its Applications, Institute for Data Science Solutions, Bielefeld, 2025.

ATTNFNET: feature aware depth-to-pressure translation with cGAN training
N.H. Manavar, H.G. Meyer, J. Waßmuth, B. Hammer, A. Schneider, Frontiers in Medical Technology 7 (2025).

RAVSim .0: Enhanced visualization and comparative analysis for neural network models
S. Sanaullah, A. Schneider, J. Waßmuth, U. Rückert, T. Jungeblut, SoftwareX 29 (2025).

Bridging the Dataset Gap: Domain Adaptation for Fisheye Passenger Detection
S. Wermuth, T. Jungeblut, in: K25@HSBI Zukunft Im Fokus, 2025, pp. 28–29.

Automating Neural Model Selection in Spiking Neural Networks Using AutoML Techniques*
S. Sanaullah, H. Honda, K. Roy, A. Schneider, J. Waßmuth, T. Jungeblut, in: 2025 22nd International Learning and Technology Conference (L&;T), IEEE, 2025, pp. 274–279.

Softwaregestützte Analyse geriatrischer Entlassbriefe
T.C. Herzig, C. Marschner, C. Ostrau, S. Held, J. Rickermann, W. Schenck, A. Uphaus, R. Amelung, Zeitschrift für Gerontologie und Geriatrie (2025).

Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems
M. Niederhaus, N. Migenda, J. Weller, M. Kohlhase, W. Schenck, Big Data and Cognitive Computing 9 (2025).

Bridging the Gap Between AI Quantization and Edge Deployment: IN and IN on the Edge
M.I. Köse, Q.A. Ahmed, T. Jungeblut, in: NeurIPS 2025  (Ed.), The 5th Muslims in Machine Learning (MusIML) Workshop Co-Located with NeurIPS 2025, San Diego, CA, USA., 2025.