| 2025 | SIGMOD | Demonstrating PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing. | Pratyush Agnihotri, Carsten Binnig |
| 2025 | VLDB | Learning What Matters: Automated Feature Selection for Learned Cost Model in Parallel Stream Processing. | Pratyush Agnihotri, Carsten Binnig, Manisha Luthra |
| 2024 | ICDE | ZERoTuNE: Learned Zero-Shot Cost Models for Parallelism Tuning in Stream Processing. | Pratyush Agnihotri, Boris Koldehofe, Paul Stiegele, Roman Heinrich, Carsten Binnig, Manisha Luthra |
| 2023 | CNSM | CML-IDS: Enhancing Intrusion Detection in SDN Through Collaborative Machine Learning. | Pegah Golchin, Chengbo Zhou, Pratyush Agnihotri, Mehrdad Hajizadeh, Ralf Kundel, Ralf Steinmetz |
| 2022 | Middleware | IoT-opt: the swiss army knife to model and validate the performance of IoT products: demo abstract. | Pratyush Agnihotri, Manisha Luthra, Miguel Rodriguez, Boris Koldehofe |
| 2021 | Middleware | Autonomous resource management in distributed stream processing systems. | Pratyush Agnihotri |
| 2019 | Middleware | UrbanPulse: Adaptable Middleware to offer City and User Centric Smart City Solution. | Pratyush Agnihotri, Manisha Luthra, Sascha Peters |
| 2019 | Middleware | Highly Flexible Server Agnostic Complex Event Processing Operators. | Manisha Luthra, Sebastian Hennig, Pratyush Agnihotri, Lin Wang, Boris Koldehofe |
| 2017 | LCN | Efficient Crowd Sensing Task Distribution Through Context-Aware NDN-Based Geocast. | The An Binh Nguyen, Pratyush Agnihotri, Christian Meurisch, Manisha Luthra, Rahul Chini Dwarakanath, Jeremias Blendin, Doreen Bhnstedt, Michael Zink, Ralf Steinmetz |