Portfolio item number 1
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Supported IT security and infrastructure operations at DCM Shriram, focusing on Fortinet, server management, and IT–business alignment.
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Developed and tested Smart Kitchen and Weather applications for Android tablets and phones, including backend communication and widget interfaces.
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Developed and customized key modules for Sony DSLR and camcorder devices including UI menus and camera focus features with embedded system testing.
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Developed and tested a smart phonebook application for Android tablets, with automation using QTP and DTAF for NTTDocomo.
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Developed and tested a cross-platform VoIP application for Android and iOS, including automation and communication feature testing for T-Mobile.
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Developed test automation frameworks and QA strategies for Kobil’s Smart Security Management Server (SSMS), used by banks and retailers for secure mobile services.
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Developed a real-time sensor data platform for the City of Bonn to deliver smart city services using event-driven architecture and interactive visualizations.
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Designed and developed the multilingual and responsive frontend for the official Beethoven 250th Anniversary campaign website supported by UNFCCC.
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Developed NB-IoT-based prototypes and integrated CoAP-enabled devices into Deutsche Telekom’s Cloud of Things for smart city applications.
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Designed and implemented a responsive, cross-platform frontend for enterprise clients using Bootstrap 4, JavaScript, and modern web standards.
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Created a citizen-centered digital experience lab to support community-driven engagement with Darmstadt’s smart city initiatives.
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Designed and maintained the official website for DEBS 2019 conference, including full frontend implementation, responsiveness, and cross-platform compatibility.
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The aim of the OSCA project is to create an app that gives citizens convenient access to services provided by cities and third-party providers.
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The project aimed to deliver strategy consulting in preparation for the upcoming PIB (Project Investment Board) meeting and final presentation.
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The aim of the market research for voice was to answer three relevant questions which can drive the success of axxessio in the voice sector
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Investigating transition-aware adaptation techniques for event-based systems to enhance Quality of Service in dynamic communication environments.
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Collaborative research on privacy-aware real-time analytics in IoT stream processing applications, funded by the Research Council of Norway.
Published in , 2017
Recommended citation: Nguyen, The An Binh and Agnihotri, Pratyush and Meurisch, Christian and Luthra, Manisha and Dwarakanath, Rahul and Blendin, Jeremias and Böhnstedt, Doreen and Zink, Michael and Steinmetz, Ralf. (2017). "Efficient Crowd Sensing Task Distribution Through Context-Aware NDN-Based Geocast." 2017 IEEE 42nd Conference on Local Computer Networks (LCN).
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Published in , 2019
Recommended citation: Agnihotri, Pratyush and Weber, Florian and Peters, Sascha. (2019). "Axxessity: City and user-centric approach to build smart city bonn." Proceedings of the 13th ACM international conference on distributed and event-based systems.
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Published in , 2019
Recommended citation: Luthra, Manisha and Hennig, Sebastian and Agnihotri, Pratyush and Wang, Lin and Koldehofe, Boris. (2019). "Highly flexible server agnostic complex event processing operators." Proceedings of the 20th International Middleware Conference Demos and Posters.
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Published in , 2019
Recommended citation: Agnihotri, Pratyush and Luthra, Manisha and Peters, Sascha. (2019). "Urbanpulse: Adaptable middleware to offer city and user centric smart city solution." Proceedings of the 20th International Middleware Conference Demos and Posters.
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Published in , 2021
Recommended citation: Agnihotri, Pratyush. (2021). "Autonomous resource management in distributed stream processing systems." Proceedings of the 22nd International Middleware Conference: Doctoral Symposium.
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Published in , 2022
Recommended citation: Pratyush Agnihotri, Boris Koldehofe, Carsten Binnig, Manisha Luthra. (2022). "PANDA: performance prediction for parallel and dynamic stream processing." 16th ACM International Conference on Distributed and Event-Based Systems.
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Published in , 2022
Recommended citation: Agnihotri, Pratyush and Luthra, Manisha and Rodriguez, Miguel and Koldehofe, Boris. (2022). "IoT-opt: the swiss army knife to model and validate the performance of IoT products: demo abstract." Proceedings of the 23rd International Middleware Conference Demos and Posters.
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Published in , 2023
Recommended citation: Fomichev, Mikhail and Luthra, Manisha and Benndorf, Maik and Agnihotri, Pratyush. (2023). "No one size (PPM) fits all: Towards privacy in stream processing systems." Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems.
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Published in , 2023
Recommended citation: Agnihotri, Pratyush and Koldehofe, Boris and Binnig, Carsten and Luthra, Manisha. (2023). "Zero-shot cost models for parallel stream processing." Proceedings of the Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management.
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Published in , 2023
Recommended citation: Golchin, Pegah and Zhou, Chengbo and Agnihotri, Pratyush and Hajizadeh, Mehrdad and Kundel, Ralf and Steinmetz, Ralf. (2023). "Cml-ids: Enhancing intrusion detection in sdn through collaborative machine learning." 2023 19th International Conference on Network and Service Management (CNSM).
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Published in , 2024
Recommended citation: Agnihotri, Pratyush. (2024). "Accurate Performance Modeling for Distributed Stream Processing: Methods for Performance Benchmarking and Zero-shot Parallelism Tuning in Distributed and Heterogeneous Environments." Technische Universität Darmstadt.
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Published in , 2024
Recommended citation: Agnihotri, Pratyush and Koldehofe, Boris and Stiegele, Paul and Heinrich, Roman and Binnig, Carsten and Luthra, Manisha. (2024). "ZeroTune: Learned Zero-Shot Cost Models for Parallelism Tuning in Stream Processing." ICDE 2024.
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Published in , 2024
Recommended citation: Agnihotri, Pratyush and Koldehofe, Boris and Heinrich, Roman and Binnig, Carsten and Luthra, Manisha. (2025). "PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing." arXiv preprint arXiv:2504.10704.
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Published in , 2025
Recommended citation: Agnihotri, Pratyush and Binnig, Carsten. (2025). " Demonstrating PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing." Companion of the 2025 International Conference on Management of Data (SIGMOD-Companion), June 22--27, 2025, Berlin, Germany.
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Bachelor and Masters course, Multimedia Communication Lab, TU Darmstadt, 2021
Student(s) | Title | Type | Year |
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Michael, Paula, Katrin, Rafik | Parallel and Distributed Streaming Benchmarking | Lab | 2024 |
Rhivu | Auto-Scaling for Distributed Stream Processing using Reinforcement Learning | Lab | 2024 |
Hamna (TU Ilmenau) | Efficient Memory Management for Large Language Model Serving with PagedAttention | Seminar | 2023 |
Daniel (TU Ilmenau) | gSampler - General and Efficient GPU-based Graph Sampling for Graph Learning | Seminar | 2023 |
Daniil (TU Ilmenau) | Parallel Stream Processing in Distributed Stream Processing Systems | Seminar | 2023 |
Mouayad | Parallelizing Intra-Window Join using Hardware Accelerator | Project | 2023 |
Mouaz, Jinyao, Zongdi | Parallel Stream Processing and Data Analytics using Flink | Lab | 2023 |
Chippy, Nishchay | Parallel Stream Processing using Reinforcement Learning | Seminar | 2022 |
Mouayad, Ozcan | Real-time query validation and performance visualization | Lab | 2022 |
Sravya, Gayatri, Harsha | Big Data Analysis and Performance Evaluation | Lab | 2022 |
Aastha, Sushimitha | Learned Operator Parallelization and Stream Processing | Seminar | 2022 |
Chengbo, Xiangyu, Xingzhou | Network Security Monitoring in SDN | Lab | 2022 |
Anton | Performance Evaluation of Windows Join in Stream Processing System | Project | 2022 |
Sushimitha, Christian | Query processing and performance analysis using Flink | Lab | 2022 |
Marvin | Hardware Accelerated Stream Processing | Seminar | 2021 |
Ali | Resources Elasticity and Computation Offloading Techniques in Stream Processing Systems | Seminar | 2021 |
Corinna | Telcaria Alviu- Network Traffic Monitoring and Profiling | Lab | 2021 |
Bachelor and Masters course, Multimedia Communication Lab, TU Darmstadt, 2021
Student Name | Title | Type | Year |
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Daniel Dirk | Benchmarking Parallelism and Heterogeneity in Distributed Stream Processing | Master | 2024 |
Mizuki Hashimoto | Feature Selection Strategies for Parallel Stream Processing | Master | 2024 |
Paul Stiegele | Learned Parallel Stream Processing | Master | 2022 |
Bachelor and Masters courses, TU Darmstadt, 2025
Years | Course | Role |
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2021–2024 | Communication Networks | Teaching Assistant |
2014–2017 | Distributed Systems | Student Tutor |