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 Böhnstedt; Michael Zink; Ralf Steinmetz (LCN, 2017)

axxessity: City and User-Centric Approach to Build Smart City Bonn. - Pratyush Agnihotri; Florian Weber; Sascha Peters (DEBS, 2019)

UrbanPulse: Adaptable Middleware to offer City and User Centric Smart City Solution. - Pratyush Agnihotri; Manisha Luthra; Sascha Peters (Middleware Demos/Posters, 2019)

Highly Flexible Server Agnostic Complex Event Processing Operators. - Manisha Luthra; Sebastian Hennig; Pratyush Agnihotri; Lin Wang 015; Boris Koldehofe (Middleware Demos/Posters, 2019)

Autonomous resource management in distributed stream processing systems. - Pratyush Agnihotri (Middleware Doctoral Symposium, 2021)

PANDA: performance prediction for parallel and dynamic stream processing. - Pratyush Agnihotri; Boris Koldehofe; Carsten Binnig; Manisha Luthra (DEBS, 2022)

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 (Middleware Demos/Posters, 2022)

Zero-Shot Cost Models for Parallel Stream Processing. - Pratyush Agnihotri; Boris Koldehofe; Carsten Binnig; Manisha Luthra (aiDM@SIGMOD, 2023)

CML-IDS: Enhancing Intrusion Detection in SDN Through Collaborative Machine Learning. - Pegah Golchin; Chengbo Zhou; Pratyush Agnihotri; Mehrdad Hajizadeh; Ralf Kundel; Ralf Steinmetz (CNSM, 2023)

No One Size (PPM) Fits All: Towards Privacy in Stream Processing Systems. - Mikhail Fomichev; Manisha Luthra; Maik Benndorf; Pratyush Agnihotri (DEBS, 2023)

ZERoTuNE: Learned Zero-Shot Cost Models for Parallelism Tuning in Stream Processing. - Pratyush Agnihotri; Boris Koldehofe; Paul Stiegele; Roman Heinrich; Carsten Binnig; Manisha Luthra (ICDE, 2024)

PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing. - Pratyush Agnihotri; Boris Koldehofe; Roman Heinrich; Carsten Binnig; Manisha Luthra (TPCTC, 2024)

Accurate Performance Modeling for Distributed Stream Processing: Methods for Performance Benchmarking and Zero-shot Parallelism Tuning in Distributed and Heterogeneous Environments. - Pratyush Agnihotri (2024)

Demonstrating PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing. - Pratyush Agnihotri; Carsten Binnig (SIGMOD Conference Companion, 2025)