AI Meets Elderly Care: Mining Smart Home Data for Dementia and Depression Detection
H. Attaullah, C. Peters, A. Peters, T. Jungeblut, 2 (2025) 38–39.

DNA: detecting early signs of neurodegenerative diseases through activity and sleep analysis
H. Attaullah, S. Sanaullah, A. Peters, Q.A. Ahmed, J. Baudisch, T. Jungeblut, Frontiers in Neuroscience 19 (2025).

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

Improving Transfer Learning and Domain Adaptation in Smart Homes: The Role of Dynamic Domain Adaptation Layer
H. Attaullah, A. Kiani, T. Jungeblut, in: IEEE (Ed.), 2024 International Conference on Frontiers of Information Technology (FIT), IEEE, 2024, pp. 1–6.

FL-DL: Fuzzy Logic with Deep Learning, Hybrid Anomaly Detection and Activity Prediction in Smart Homes Data-Sets
H. Attaullah, S. Sanaullah, T. Jungeblut, in: 2024 IEEE 24th International Symposium on Computational Intelligence and Informatics (CINTI), IEEE, Budapest, Hungary, 2024, pp. 43–48.

Encryption Techniques for Privacy-Preserving CNN Models: Performance and Practicality in Urban AI Applications
S. Sanaullah, H. Attaullah, T. Jungeblut, in: O.A. Omitaomu, A. Mostafavi, S. Randhawa, H. Niu (Eds.), Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI, ACM, New York, NY, USA, 2024, pp. 50–53.

Trade-offs Between Privacy and Performance in Encrypted Dataset using Machine Learning Models
S. Sanaullah, H. Attaullah, T. Jungeblut, in: U. Kuhl, DataNinja.nrw (Eds.), Proceedings of the SAIOnARA Conference, DataNinja sAIOnARA Conference, 2024.

Analyzing Machine Learning Models for Activity Recognition Using Homomorphically Encrypted Real-World Smart Home Datasets: A Case Study
H. Attaullah, S. Sanaullah, T. Jungeblut, Applied Sciences 14 (2024).

The Next-Gen Interactive Runtime Simulator for Neural Network Programming
S. Sanaullah, H. Attaullah, T. Jungeblut, in: E. Söderberg, L. Church (Eds.), Companion Proceedings of the 8th International Conference on the Art, Science, and Engineering of Programming, ACM, New York, NY, USA, 2024, pp. 8–10.

Fuzz-classification (p, l)-Angel: An enhanced hybrid artificial intelligence based fuzzy logic for multiple sensitive attributes against privacy breaches
T. Kanwal, H. Attaullah, A. Anjum, A. Khan, G. Jeon, Digital Communications and Networks 9 (2023) 1131–1140.

Fuzzy-Logic-Based Privacy-Aware Dynamic Release of IoT-Enabled Healthcare Data
H. Attaullah, T. Kanwal, A. Anjum, G. Ahmed, S. Khan, D.B. Rawat, R. Khan, IEEE Internet of Things Journal 9 (2022) 4411–4420.

F-Classify: Fuzzy Rule Based Classification Method for Privacy Preservation of Multiple Sensitive Attributes
H. Attaullah, A. Anjum, T. Kanwal, S.U.R. Malik, A. Asheralieva, H. Malik, A. Zoha, K. Arshad, M.A. Imran, Sensors 21 (2021).

Design and Analysis of a Novel Hybrid Wireless Mesh Network Routing Protocol
M. Iqbal, M. Shafiq, J.-G. Choi, H. Attaullah, K. Akram, X. Wang, International Journal of Adaptive, Resilient and Autonomic Systems 5 (2014) 20–39.

QoS based Vertical handover between UMTS, WiFi and WiMAX Networks
H. Attaullah, M.Y. Javed, Journal of Convergence Information Technology 4 (2009) 59–64.

Intelligent vertical handover decision model to improve QoS
H. Attaullah, F. Iqbal, M.Y. Javed, in: A. Abraham (Ed.), 2008 Third International Conference on Digital Information Management, IEEE, 2008, pp. 119–124.