Biography

I am currently working as a postdoctoral researcher at the Systems Group of TU Darmstadt. Furthermore, I started recently a new position as senior researcher at the SAIDE Lab of German Research Centre for Artificial Intelligence (DFKI) led by Prof. Carsten Binnig.

In 2021, I completed my doctoral degree (officially, Dr.-Ing. or Doctor of Engineering) from TU Darmstadt with a thesis on Network-centric Complex Event Processing that was graded with summa cum laude. My thesis received the German national award for the Best Ph.D. thesis in the field of distributed systems by the special interest group on Communication and Distributed Systems (KuVS).

Currently in my research, I broadly focus on the intersection of systems and machine learning while at the same time leverage modern hardware and networks to their best.

Interests

  • Machine Learning and Systems
  • Modern Hardware and Networks

Education

  • Ph.D. (Dr.-Ing.) with the topic titled "Network-centric Complex Event Processing", 2016-2021

    Technical University of Darmstadt, Germany

  • M.Sc. Computer Science with specialization in Distributed Systems, 2013-2016

    Technical University of Darmstadt, Germany

  • B.Sc. with Honours in Computer Science, 2008-2011

    Delhi University, India

Selected Publications

This is a selected list of publications. To view all my publications click here.

Lasse Thostrup, Gloria Doci, Nils Boeschen, Manisha Luthra, Carsten Binnig (2023). Distributed GPU Joins on Fast RDMA-capable Networks. To appear in ACM SIGMOD 2023.

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

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Pratyush Agnihotri, Boris Koldehofe, Carsten Binnig, Manisha Luthra (2022). PANDA: Performance Prediction for Parallel and Dynamic Stream Processing. ACM DEBS 2022.

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Johannes Wehrstein, Benjamin Hilprecht, Benjamin Olt, Manisha Luthra, Carsten Binnig (2022). The Case for Multi-Task Zero-Shot Learning for Databases. AIDB workshop in VLDB 2022.

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Roman Heinrich, Manisha Luthra, Harald Kornmayer, Carsten Binnig (2022). Zero-shot cost models for Distributed Stream Processing. ACM DEBS 2022.

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Manisha Luthra, Boris Koldehofe, Niels Danger, Pascal Weisenberger, Guido Salvaneschi, Ioannis Stavrakakis (2021). TCEP: Transitions in operator placement to adapt to dynamic network environments. Journal of Computer and System Sciences.

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

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

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