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Personal information

Office Address: NU 11A-33, VU Amsterdam 

Animesh Trivedi is a tenured Assistant Professor in the Computer Science department at VU Amsterdam. He leads the Storage-Networking (StoNet) research group (https://stonet-research.github.io/) in the Massiving Computer Systems (MCS) group (https://atlarge-research.com/). His research interests lie in building fast and efficient systems using modern hardware. Prior to joining VU Amsterdam in 2019, he has worked as a Research Staff Member (RSM) at the IBM Research Lab in Zürich. He holds a PhD and Master from ETH Zürich. More about his work can be found at https://animeshtrivedi.github.io.

Research

The two main research directions I am investigating right now

  • how to leverage modern storage devices in various data-intensive application domains such as machine learning, bioinformatics, and analytics in a distributed setting;
  • how data and edge should be managed for collaborative edge applications. Beyond these immediate concerns I am broadly interested in multiple topics in the area of distributed systems, storage systems, networking, operating systems, runtime and compilers.

For a long-term research line, I am investigating the CPU-Free Computing Paradigm, (see the following publication) 

  • Animesh Trivedi and Marco Spaziani Brunella. 2023. CPU-free Computing: A Vision with a Blueprint. In Proceedings of the 19th Workshop on Hot Topics in Operating Systems (HOTOS '23). Association for Computing Machinery, New York, NY, USA, 1–14. https://doi.org/10.1145/3593856.3595906

In my research, I like to design, build, and measure stuff.

Ancillary activities

No ancillary activities

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Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy
  • SDG 9 - Industry, Innovation, and Infrastructure

Academic qualification

Computer Science, PhD, End-to-End Considerations in the Unification of High-Performance I/O, ETH-Zurich

Award Date: 8 Jan 2016

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