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Samir R. Das

Researcher at Stony Brook University

Publications -  239
Citations -  29834

Samir R. Das is an academic researcher from Stony Brook University. The author has contributed to research in topics: Wireless network & Optimized Link State Routing Protocol. The author has an hindex of 58, co-authored 186 publications receiving 29007 citations. Previous affiliations of Samir R. Das include University of Texas at San Antonio & University of Cincinnati.

Papers
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Proceedings ArticleDOI

Creating Spatio-temporal Spectrum Maps from Sparse Crowdsensed Data

TL;DR: This work addresses the problem of creating spectrum occupancy maps from spectrum occupancy data over a large number of instants, in the challenging scenario of dynamically (temporally) changing spectrum occupancy due to intermittent transmission of primary users.
Journal ArticleDOI

Inclusive quarkonium production in pp collisions at $$\sqrt{s}$$ = 5.02 TeV

Shreyasi Acharya, +996 more
TL;DR: In this paper , the authors report on the inclusive production cross section of several quarkonium states, and measured with the ALICE detector at the LHC, in pp collisions at 5.5.
Journal ArticleDOI

Interference-aware fast path adaptation in wireless mesh networks

TL;DR: This work states that existing multihop wireless routing protocols are incapable of reacting quickly to transient degradation of link quality rendering them unsuitable for supporting real-time applications such as streaming/interactive voice and video.

Constraining hadronization mechanisms with Ac+/D0 production ratios in Pb-Pb collisions at sNN=5.02 TeV

Alexander Bylinkin, +337 more
TL;DR: In this paper , the ALICE detector was used to measure the production of prompt (cid:2) + c baryons at mid-rapidity ( | y | < 0 . 5) and reach much lower transverse momentum (p T = 1 GeV / c ) with respect to previous measurements performed by the ALice, STAR, and CMS Collaborations in nucleus-nucleus collisions, allowing for an extrapolation down to p T = 0.
Dissertation

Collaborative information processing and query evaluation in wireless sensor networks

TL;DR: This dissertation investigates essential grand challenges of collaborative processing and query evaluation in wireless sensor networks, and proposes a deductive framework for programming and querying sensor networks that allow users to specify with ease the high-level functionality of an application, while hid from the low-level details.