VLDB 2026 Research / reviewers in the wild / expert
Omar Khatib
dblp:307/5431
· DBLP profile ↗
3ranked-venue papers
1as first author
3since 2021 · last 2024
0000-0002-0721-9684ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author · 2 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021
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.
| Artificial intelligence
1 paper |
Deep learning architectures and training · 100% | |
| Computer graphics and multimedia
1 paper |
Computational photography and imaging · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Deep learning architectures and training
physics-informed neural network |
0.6 | 1 | 2022 | Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions · ICLR 2022 |
Computational photography and imaging
phase retrieval |
0.6 | 1 | 2022 | Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions · ICLR 2022 |
Methods — techniques the papers use, named apart from their topics
neural network · 1.1blaschke product · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Characterization of Microwave Blackbody with Monostatic MeasurementabstractThis paper describes a measurement method for characterizing the reflectivity of blackbodies used as calibration devices in spaceborne instruments. The fundamental measurement principle is based on the scattering matrix theory. A monostatic apparatus has been developed to implement the reflectivity measurements up to 220 GHz. A few blackbody emitters made of metamaterials were measured at a number of radiometric frequencies. The results demonstrated the feasibility of using metamaterial blackbodies on miniaturized satellite platforms. Dazhen Gu, Jonah Smith, Adam Whitney, Omar Khatib, Natalie Rozman, Amanda Gregg, Willie Padilla, William R. Deal, Steven C. Reising |
IGARSS | 4 |
| 2022 | Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions
Juncheng Dong, Simiao Ren, Omar Khatib, Jordan M. Malof, Mohammadreza Soltani, Willie Padilla, Vahid Tarokh |
ICLR | 4 |
| 2022 | Planar Metamaterial Absorbers for Calibration of Microwave Radiometers for Atmospheric Remote SensingabstractIn this work, we present metamaterial-based microwave absorbers fabricated on organic-based printed circuit boards as promising alternatives to traditional, bulky microwave absorbers for the calibration of microwave radiometers for atmospheric remote sensing. Their use is particularly attractive for onboard calibration of sensors on CubeSats and other small satellites. Planar metamaterials can be fabricated with near-unity absorption over a very broad frequency range, and are scalable by tuning the unit cell geometry. Specifically, we describe an approach and initial measurements toward designing a broadband metamaterial emitter operating at millimeter wave sounding channels from 50 GHz 230 GHz, enabling a thin, cost-effective calibration target for millimeterwave atmospheric remote sensing. Omar Khatib, Dazhen Gu, Jonah Smith, William R. Deal, Willie Padilla, Steven C. Reising |
IGARSS | 1 |