The Impact of Digitalization and Artificial Intelligence on Professional Service Firms and their Business Models: The Good, the Bad, and the Ugly
T. Kampe, C. Haas, in: International Entrepreneurship Education Summit (IEES), Hochschule Der Medien, Stuttgart, 28.11. , 2025.

Deep&Wide: Achieving Area Efficiency in Scalable Approximate Accelerators
F. Jalil, M. Awais, Q.A. Ahmed, H.G. Mohammadi, T. Jungeblut, M. Platzner, in: Institute of Electrical and Electronics Engineers (IEEE) (Ed.), 2025 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), IEEE, 2025, pp. 115–118.

NNXC: Neural Network Meets Approximate Computing
F. Jalil, J. Leuering, Q.A. Ahmed, W. Schenck, T. Jungeblut, in:  Institute for Data Science Solutions, Bielefeld, 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.

MALRIS: Malicious Hardware in RIS-Assisted Wireless Communications
Q.A. Ahmed, D.M. Mughal, D. Munir, H.D. Schotten, T. Jungeblut, S.-H. Kim, M.Y. Chung, in: arXiv, 2025.

Edge4OD: An Automated Framework for Efficient Execution of Object Detection Algorithms on Edge Devices
M.I. Köse, Q.A. Ahmed, T. Jungeblut, in: Institute for Data Science Solutions, Bielefeld, 2025.

Digitaler Bahnhof Minden: Künstliche Intelligenz für den Bahnhof der Zukunft
H. Attaullah, M. Halbrügge, R. Naumann, T. Jungeblut, in: 2025, pp. 4–5.

AutoDSE: Towards HW/AI Co-design of Ultra-low Latency Hardware Accelerators for Industrial Applications
F. Jalil, J. Leuering, Q.A. Ahmed, W. Schenck, T. Jungeblut, in: Workshop on AI and Its Applications, Institute for Data Science Solutions, Bielefeld, 2025.

Cognitive Edge Computing for Multi-Sensor Applications with Sparse Data and High Latency Requirements
J. Leuering, F. Jalil, Q.A. Ahmed, W. Schenck, T. Jungeblut, in: Institute for Data Science Solutions, Bielefeld, n.d.

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

Visualizing Motion Intent in Heterogeneous Multi-Robot Environments
M. Riechmann-Thom, J. Rexilius, (2025).

Artificial Intelligence in Recruiting: A Balancing Act Between Innovation and Ethics
A. Schmidtmann, M. Babi, S.A. Chlopek-Duljevi, T. Kunasegaram, in: R. Öztürk, E. Auschner (Eds.), Disrupt or Be Disrupted: How Does AI Shape the Future of Business and Politics?, Shaker Verlag, Düren, 2025, p. 32.

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).

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).

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).

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.

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).

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).

Efficient Gait Analysis using Knowledge Distillation from Sparse Sensors
V. Katter, M. Kohlhase, in: H. Schulte, F. Hoffmann, R. Mikut, Karlsruher Institut für Technologie (KIT) (Eds.), Proceedings – 35. Workshop Computational Intelligence: Berlin, 20.–21. November 2025, Karlsruher Institut für Technologie (KIT), Karlsruhe, 2025, pp. 89–96.