On the Security and Privacy of Internet of Things Architectures and Systems. - Emmanouil Vasilomanolakis; Jörg Daubert; Manisha Luthra; Vangelis Gazis; Alexander Wiesmaier; Panayotis Kikiras (SIoT, 2015)

One Sensor is not Enough: Adapting and Fusing Sensors for the Quality Assessment of User Generated Video. - Stefan Wilk; Manisha Luthra; Wolfgang Effelsberg (ACM Multimedia, 2016)

Quality-Aware Runtime Adaptation in Complex Event Processing. - Pascal Weisenburger; Manisha Luthra; Boris Koldehofe; Guido Salvaneschi (SEAMS@ICSE, 2017)

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)

Adapting to Dynamic User Environments in Complex Event Processing System using Transitions. - Manisha Luthra (DEBS, 2018)

TCEP: Adapting to Dynamic User Environments by Enabling Transitions between Operator Placement Mechanisms. - Manisha Luthra; Boris Koldehofe; Pascal Weisenburger; Guido Salvaneschi; Raheel Arif (DEBS, 2018)

Understanding the Behavior of Operator Placement Mechanisms on Large-Scale Networks. - Manisha Luthra; Sebastian Hennig; Boris Koldehofe (Middleware (Posters), 2018)

INetCEP: In-Network Complex Event Processing for Information-Centric Networking. - Manisha Luthra; Boris Koldehofe; Jonas Höchst; Patrick Lampe; Ali Haider Rizvi; Ralf Kundel; Bernd Freisleben (ANCS, 2019)

3-D Urban Objects Detection and Classification From Point Clouds. - Yassin Alkhalili; Manisha Luthra; Amr Rizk; Boris Koldehofe (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)

ProgCEP: A Programming Model for Complex Event Processing over Fog Infrastructure. - Manisha Luthra; Boris Koldehofe (DFSD@Middleware, 2019)

Demo: Visualizing Adaptation Decisions in Pervasive Communication Systems. - Martin Pfannemüller; Janick Edinger; Markus Weckesser; Roland Kluge; Manisha Luthra; Robin Klose; Christian Becker 001; Andy Schürr (PerCom Workshops, 2019)

CoalaViz: Supporting Traceability of Adaptation Decisions in Pervasive Communication Systems. - Martin Pfannemüller; Markus Weckesser; Roland Kluge; Janick Edinger; Manisha Luthra; Robin Klose; Christian Becker 001; Andy Schürr (PerCom Workshops, 2019)

Transitions for Increased Flexibility in Fog Computing: A Case Study on Complex Event Processing. - Manisha Luthra; Boris Koldehofe; Ralf Steinmetz (Inform. Spektrum, 2019)

Transitions: A Protocol-Independent View of the Future Internet. - Bastian Alt; Markus Weckesser; Christian Becker 001; Matthias Hollick; Sounak Kar; Anja Klein 002; Robin Klose; Roland Kluge; Heinz Koeppl; Boris Koldehofe; Wasiur R. KhudaBukhsh; Manisha Luthra; et al. (Proc. IEEE, 2019)

Operator as a Service: Stateful Serverless Complex Event Processing. - Manisha Luthra; Sebastian Hennig; Kamran Razavi; Lin Wang 015; Boris Koldehofe (IEEE BigData, 2020)

Flexible Content-based Publish/Subscribe over Programmable Data Planes. - Ralf Kundel; Christoph Gärtner; Manisha Luthra; Sukanya Bhowmik; Boris Koldehofe (NOMS, 2020)

Efficient Complex Event Processing in Information-centric Networking at the Edge. - Manisha Luthra; Johannes Pfannmüller; Boris Koldehofe; Jonas Höchst; Artur Sterz; Rhaban Hark; Bernd Freisleben (CoRR, 2020)

TCEP: Transitions in operator placement to adapt to dynamic network environments. - Manisha Luthra; Boris Koldehofe; Niels Danger; Pascal Weisenburger; Guido Salvaneschi; Ioannis Stavrakakis (J. Comput. Syst. Sci., 2021)

Network-centric Complex Event Processing. - Manisha Luthra (2021)

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

Zero-shot cost models for distributed stream processing. - Roman Heinrich; Manisha Luthra; Harald Kornmayer; Carsten Binnig (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)

FA2: Fast, Accurate Autoscaling for Serving Deep Learning Inference with SLA Guarantees. - Kamran Razavi; Manisha Luthra; Boris Koldehofe; Max Mühlhäuser; Lin Wang 015 (RTAS, 2022)

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

A Tutorial Workshop on ML for Systems and Systems for ML. - Manisha Luthra; Andreas Kipf; Matthias Böhm 001 (BTW, 2023)

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

Distributed GPU Joins on Fast RDMA-capable Networks. - Lasse Thostrup; Gloria Doci; Nils Boeschen; Manisha Luthra; Carsten Binnig (Proc. ACM Manag. Data, 2023)

Deco: Fast and Accurate Decentralized Aggregation of Count-Based Windows in Large-Scale IoT Applications. - Wang Yue; Rafael Moczalla; Manisha Luthra; Tilmann Rabl (EDBT, 2024)

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)

Costream: Learned Cost Models for Operator Placement in Edge-Cloud Environments. - Roman Heinrich; Carsten Binnig; Harald Kornmayer; 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)

Workshop on ML4Sys and Sys4ML. - Manisha Luthra; Andreas Kipf; Matthias Böhm 001 (BTW Workshops, 2025)

Dema: Efficient Decentralized Aggregation for Non-Decomposable Quantile Functions. - Wang Yue; Martin Boissier 001; Manisha Luthra; Tilmann Rabl (EDBT, 2025)

Eighth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM). - Renata Borovica-Gajic; Manisha Luthra; Ryan Marcus; Rajesh Bordawekar; Oded Shmueli (SIGMOD Conference Companion, 2025)

How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks. - Roman Heinrich; Manisha Luthra; Johannes Wehrstein; Harald Kornmayer; Carsten Binnig (Proc. ACM Manag. Data, 2025)

Opening The Black-Box: Explaining Learned Cost Models For Databases. - Roman Heinrich; Oleksandr Havrylov; Manisha Luthra; Johannes Wehrstein; Carsten Binnig (CoRR, 2025)