Demo Data from SIGIR 2026 / reviewers in the wild / expert
Judd Bowman
dblp:127/8550 · also Judd D. Bowman
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2009
0000-0002-8475-2036ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2Human-computer interaction and ubiquitous computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
1 paper |
Physical-layer communications · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Reconfigurable computing and FPGAs · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications
radio astronomy |
0.1 | 1 | 2009 | The Murchison Widefield Array: Design Overview · Proc. IEEE 2009 |
Methods — techniques the papers use, named apart from their topics
self-calibration algorithms · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | The Murchison Widefield Array: Design OverviewabstractThe Murchison Widefield Array is a dipole-based aperture array synthesis telescope designed to operate in the 80-300 MHz frequency range. It is capable of a wide range of science investigations but is initially focused on three key science projects: detection and characterization of three-dimensional brightness temperature fluctuations in the 21 cm line of neutral hydrogen during the epoch of reionization (EoR) at redshifts from six to ten; solar imaging and remote sensing of the inner heliosphere via propagation effects on signals from distant background sources; and high-sensitivity exploration of the variable radio sky. The array design features 8192 dual-polarization broadband active dipoles, arranged into 512 ldquotilesrdquo comprising 16 dipoles each. The tiles are quasi-randomly distributed over an aperture 1.5 km in diameter, with a small number of outliers extending to 3 km. All tile-tile baselines are correlated in custom field-programmable gate array based hardware, yielding a Nyquist-sampled instantaneous monochromaticuvcoverage and unprecedented point spread function quality. The correlated data are calibrated in real time using novel position-dependent self-calibration algorithms. The array is located in the Murchison region of outback Western Australia. This region is characterized by extremely low population density and a superbly radio-quiet environment, allowing full exploitation of the instrumental capabilities. Colin J. Lonsdale, Roger J. Cappallo, Miguel F. Morales, Frank H. Briggs, Leonid Benkevitch, Judd Bowman, John D. Bunton, Steven Burns 0002, Brian E. Corey, Ludi deSouza, Shep Doeleman, Mark Derome, Avinash A. Deshpande, Modavanatt Ramakrishna Gopala, Lincoln J. Greenhill, David Edwin Herne, Jacqueline N. Hewitt, P. A. Kamini, Justin C. Kasper, Barton B. Kincaid, Jonathan Kocz, Errol Kowald, Eric Kratzenberg, Deepak Kumar 0012, Mervyn J. Lynch, S. Madhavi, Michael Matejek, Daniel A. Mitchell, Edward H. Morgan, Divya Oberoi, Steven M. Ord, Joseph Pathikulangara, Thiagaraj Prabu, Alan E. E. Rogers, Anish A. Roshi, Joseph E. Salah, Robert J. Sault, Udaya Shankar Natarajan, K. S. Srivani, Jamie Stevens, Steven J. Tingay, Annino Vaccarella, Mark F. Waterson, Randall B. Wayth, Rachel Lindsey Webster, Alan R. Whitney, Andrew J. Williams, Christopher L. Williams |
Proc. IEEE | 6 |
| 2005 | Photo-realistic Terrain Modeling and Visualization for Mars Exploration Rover Science OperationsabstractModern NASA planetary exploration missions employ complex systems of hardware and software managed by large teams of engineers and scientists in order to study remote environments. The most complex and successful of these recent projects is the Mars Exploration Rover mission. The Computational Sciences Division at NASA Ames Research Center delivered a 3D visualization program, Viz, to the MER mission that provides an immersive, interactive environment for science analysis of the remote planetary surface. In addition, Ames provided the Athena Science Team with high-quality terrain reconstructions generated with the Ames Stereo-pipeline. The on-site support team for these software systems responded to unanticipated opportunities to generate 3D terrain models during the primary MER mission. This paper describes Viz, the Stereo-pipeline, and the experiences of the on-site team supporting the scientists at JPL during the primary MER mission. Laurence J. Edwards, Michael Sims, Clayton Kunz, David Lees, Judd Bowman |
SMC | 5 |