Rahul Anand Sharma

Affiliations. AWS (Amazon), Cylab (CMU), Microsoft Research, IIIT Hyderabad

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Working as as an Applied Scientist at AWS .

I finished my Ph.D thesis on Practical network layer machine learning for IoT security from Carnegie Mellon advised by Prof. Vyas Sekar and Prof. Anthony Rowe.

Previously, at Microsoft Research, I was involved in the project FarmBeats, where I worked on developing ML algorithms on sensor data for agriculture.

Before that, I finished my Undergrad and Masters’s from IIIT Hyderabad, India. My Master’sthesis was in the field of computer vision where I developed several algorithms to analyze cricket and soccer broadcast videos.

News

Nov 22, 2024 Introducing generative AI troubleshooting for Apache Spark in AWS Glue
Jan 23, 2023 Joined AWS
Oct 30, 2022 Lumen accepted at CoNEXT 2022
Aug 10, 2022 Presented Lumos at the USENIX Security conference in Boston
Jul 01, 2022 Media coverage of Lumos by Der Spiegel, Hackernews , Blog1, and Blog2
May 01, 2021 Passed my Ph.D. qualification exams. Officially a Ph.D. candidate now
May 15, 2020 Interned with networking research group at Microsoft Research, Redmond
May 10, 2020 Presented GLITTER at IPSN 2020 (Virtual)
Aug 15, 2018 Started my Ph.D. at Carnegie Mellon
Aug 01, 2016 Started as a Research Fellow at Microsoft Research, India on Farmbeats
Jul 01, 2016 Finished my MS by research from IIIT Hyderabad

Press Coverage

Lumos by Der Spiegel, Hackernews , Technical.ly, and Trak.in
Bill Gates talking about FarmBeats on GatesNotes
Satya Nadella talking about our work on Cricket Annotation
Cricket Annotation work by Washington Post, NDTV, Stack, and Register

Selected Publications

  1. Lumen: A Framework for Developing and Evaluating ML-Based IoT Network Anomaly Detection
    Rahul Anand Sharma, Ishan Sabane, Maria ApostolakiAnthony Rowe, and Vyas Sekar
    In CoNEXT, 2022
  2. Lumos: Identifying and Localizing Diverse Hidden IoT Devices in an Unfamiliar Environment
    Rahul Anand SharmaElahe SoltanaghaeiAnthony Rowe, and Vyas Sekar
    In USENIX Security, 2022
  3. All that glitters: Low-power spoof-resilient optical markers for augmented reality
    Rahul Anand Sharma, Adwait Dongare, John Miller, Nicholas Wilkerson, Daniel Cohen, and 3 more authors
    In IPSN, 2020