A two-tier hybrid ensemble learning pipeline for intrusion detection systems in IoT networks. - Devansh Srivastav; Prakash Srivastava (J. Ambient Intell. Humaniz. Comput., 2023)

Mindful Mobility: EEG-Based Brain-Computer Interaction for Elevator Control Using Muse Headset. - Devansh Srivastav; Thomas Kaltbach; Ahmer Akhtar Mughal; Nischal Giriyan; Moaz Bin Younus; Tobias Jungbluth; Jochen Britz; Jan Alexandersson; Maurice Rekrut (UCAmI, 2024)

Partial Image Active Annotation (PIAA): An Efficient Active Learning Technique Using Edge Information in Limited Data Scenarios. - Md Abdul Kadir; Hasan Md Tusfiqur Alam; Devansh Srivastav; Hans-Jürgen Profitlich; Daniel Sonntag (Künstliche Intell., 2024)

Towards Interpretable Radiology Report Generation via Concept Bottlenecks Using a Multi-agentic RAG. - Hasan Md Tusfiqur Alam; Devansh Srivastav; Md Abdul Kadir; Daniel Sonntag (ECIR (3), 2025)

CBM-RAG: Demonstrating Enhanced Interpretability in Radiology Report Generation with Multi-Agent RAG and Concept Bottleneck Models. - Hasan Md Tusfiqur Alam; Devansh Srivastav; Abdulrahman Mohamed Selim; Md Abdul Kadir; Md Moktadirul Hoque Shuvo; Daniel Sonntag (EICS (Companion), 2025)

Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends. - Duy M. H. Nguyen; Hasan Md Tusfiqur Alam; Binh T. Nguyen 001; Devansh Srivastav; Hans-Jürgen Profitlich; Ngan Le; Daniel Sonntag (CoRR, 2025)

Enhancing Online Learning Efficiency Through Heterogeneous Resource Integration with a Multi-Agent RAG System. - Devansh Srivastav; Hasan Md Tusfiqur Alam; Afsaneh Asaei; Mahmoud Fazeli; Tanisha Sharma; Daniel Sonntag (CoRR, 2025)