Kommunikationsnetze / Multimedia Kommunikation
Pratyush Agnihotri joined the Master's course in Computer Science at TU Darmstadt in 2013. In his master's thesis work, he proposed and developed a decentralized crowd-sensing data collection framework using Information-Centric Networking (ICN) concepts to deal with post-disaster challenges in communication. The thesis was done in joint collaboration with Prof. Dr.-Ing. Michael Zink, University of Massachusetts at Amherst, USA. After his graduation, he worked as a software developer at Axxessio GmbH, Darmstadt, in the application and research areas of the Internet of Things (IoT), Smart City, and Voice assistant. Since June 2021, he has been working as a Research Scientist at the Multimedia Communication Lab and primarily associated with the C2 subproject of DFG MAKI.
DFG: Collaborative Research Center 1053 MAKI: I am working as a Researcher for MAKI Subproject C2, which explores transitions in communication systems from an information-centric view. A central paradigm for information processing is event-based systems (EBS), which model the information flow as streams of events and help recognize certain patterns over the event streams at runtime. The goal of C2 is to explore methods for transition-based adaptation of event-processing systems and thereby achieve a significant increase in the quality of service under dynamically varying conditions.
Parrot: Privacy Engineering for Real-Time Analytics in Human-Centered Internet of Things: I am working as an Associated Researcher for the Parrot project, which is a collaborative research between the University of Oslo (Norway) and the Technical University of Darmstadt (Germany) funded by the Research Council of Norway (2020 – 2023). The aim of this project is to find user-centric methods for real-time privacy protection for stream processing applications.
I am looking for motivated students who are interested in working on cutting-edge technologies and IoT applications. If you are interested in writing a Bachelor's or Master's Thesis or gaining experience in a MAKI project as a HiWi, please feel free to contact me. Send your CV and Transcript or TUCaN grade list to my email address. Check open theses here.
semester | Course | role |
---|---|---|
Winter semester 2023/24 | Communication network 2 | Teaching Assistant |
Winter semester 2022/23 | Communication network 2 | Teaching Assistant |
Winter semester 2021/22 | Communication network 2 | Teaching Assistant |
student | topic | Thesis Type | semester | status |
---|---|---|---|---|
Daniel Dirk | Benchmarking Parallelism and Heterogeneity in Distributed Stream Processing | Master | SS2024 | Ongoing |
Mizuki Hashimoto | FS for Parallel Stream Processing | Master | WS2024 | Completed |
Shubham Sumalya | Benchmarking Parallel Stream Processing | Master | WS2023 | Completed |
Paul Stiegele | Learned Parallel Stream Processing | Master | WS2022 | Completed |
Chengbo Zhou | Cooperative ML-based NIDS between the data and control plane in SDN | Master | WS2022 | Completed |
William Laarakkers | Scalable and Efficient Processing of Financial Data using CEP | Bachelor (external RUG) | SS2022 | Completed |
Caroline Braams | Securing publish/subscribe in software-defined networks | Master (external RUG) | WS2021 | Completed |
Students | topic | Type | semester | status |
---|---|---|---|---|
Michael, Paula, Katrin, Rafik |
Parallel and Distributed Streaming Benchmarking | SS2024 | Completed | |
Rhivu |
Auto-Scaling for Distributed Stream Processing using RL | WS2324 | Completed | |
Hamna (TU Ilmenau) |
Efficient Memory Management for Large Language Model Serving with PagedAttention | WS2324 | Completed | |
Daniel (TU Ilmenau) |
gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning | WS2324 | Completed | |
Daniil (TU Ilmenau) | Parallel Stream Processing in Distributed Stream Processing Systems | SS2023 | Completed | |
Mouayad | Parallelizing Intra-Window Join using Hardware Accelerator | MMC Seminar | SS2023 | Completed |
Mouaz, Jinyao, Zongdi | Parallel Stream Processing and Data Analytics using Flink | MMC Lab | SS2023 | Completed |
Chippy, Nishchay | Parallel Stream Processing using Reinforcement Learning | MMC Seminar | WS2223 | Completed |
Mouayad, Ozcan | Real-time query validation and performance visualization | MMC Lab | WS2223 | Completed |
Sravya, Gayatri, Harsha | Big Data Analysis and Performance Evaluation | MMC Lab | WS2223 | Completed |
Aastha, Sushimitha | Learned Operator Parallelization and Stream Processing | MMC Seminar | SS2022 | Completed |
Chengbo, Xiangyu, Xingzhou | Network Security Monitoring in SDN | MMC Lab | SS2022 | Completed |
Anton | Performance Evaluation of Windows Join in Stream Processing System | MMC Project | SS2022 | Completed |
Sushimitha, Christian | Query processing and performance analysis using Flink | MMC Lab | SS2022 | Completed |
Marvin | Hardware Accelerated Stream Processing | MMC Seminar | WS2021 | Completed |
Ali | Resources Elasticity and Computation Offloading Techniques in Stream Processing Systems | MMC Seminar | WS2021 | Completed |
Corinna | Telcaria Alviu: Network Traffic Monitoring and Profiling | MMC Lab | WS2021 | Completed |
Proseminar Electrical Engineering and Information Technology
TUCaN course ID: 18-sm-1000-ps
Organization: Pratyush Agnihotri