Demo Data from EDBT 2026 / reviewers in the wild / expert
Ahmed Magdy
dblp:143/6552
· DBLP profile ↗
4ranked-venue papers
1as first author
2since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021Computer networks · 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.
| Network and information security
1 paper |
Privacy and data protection · 100% | |
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 67% Multimedia systems and quality of experience · 33% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Environmental and earth informatics · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Privacy and data protection › privacy-preserving data analysis
federated analytics |
0.9 | 1 | 2025 | PAPAYA Federated Analytics Stack: Engineering Privacy, Scalability and Practicality · NSDI 2025 |
Distributed systems
distributed coordination |
0.3 | 1 | 2025 | PAPAYA Federated Analytics Stack: Engineering Privacy, Scalability and Practicality · NSDI 2025 |
Multimedia systems and quality of experience › user interaction
interaction techniques and input |
0.2 | 1 | 2014 | Ovis: A Framework for Visual Analysisof Ocean Forecast Ensembles · IEEE Trans. Vis. Comput. Graph. 2014 |
Visualization and visual analytics › visual analytics
interactive visual analysis |
0.2 | 1 | 2014 | Ovis: A Framework for Visual Analysisof Ocean Forecast Ensembles · IEEE Trans. Vis. Comput. Graph. 2014 |
Visualization and visual analytics
scientific visualization |
0.2 | 1 | 2014 | Ovis: A Framework for Visual Analysisof Ocean Forecast Ensembles · IEEE Trans. Vis. Comput. Graph. 2014 |
Environmental and earth informatics
ocean forecasting |
0.1 | 1 | 2014 | Ovis: A Framework for Visual Analysisof Ocean Forecast Ensembles · IEEE Trans. Vis. Comput. Graph. 2014 |
Methods — techniques the papers use, named apart from their topics
interactive visual analysis · 0.4ensemble visualization · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | PAPAYA Federated Analytics Stack: Engineering Privacy, Scalability and Practicality
Harish Srinivas, Graham Cormode, Mehrdad Honarkhah, Samuel Lurye, Jonathan Hehir, Lunwen He, George Hong, Ahmed Magdy, Dzmitry Huba, Shen Guo, Shoubhik Bhattacharya |
NSDI | 8 |
| 2021 | Low Power, Dual Mode Bluetooth 5.1/Bluetooth Low Energy Receiver DesignabstractThis paper presents a low-power Bluetooth 5.1 (BT5.1) and Bluetooth Low Energy (BLE) compliant receiver (RX). The receiver has two modes of operation: a low-power mode, and a high-performance mode. It utilizes various techniques for low power consumption at both system and circuit levels. For example, it uses a Low-IF mixer-first architecture to optimize power consumption at system level. In addition, it uses harmonic down-conversion in the low-power mode to enable quadrature local oscillation generation. Circuit-level power minimization techniques include using reduced supply voltages, 500 mV for the VCOs and 700 mV for the front end, using passive mixers, and reusing the biasing currents. The proposed receiver utilizes an integrated configurable matching circuit. The proposed receiver is implemented in 65-nm CMOS technology and occupies an active area of 0.55 mm2consuming only 697 μW and 1250 μW in low- power mode and high-performance mode, respectively. The low- power RX mode achieves a noise figure of 12.82 dB and an IIP3 of +5.58 dBm. The high-performance RX mode achieves a 6.3-dB noise figure and +2.6-dBm IIP3. The proposed receiver achieves better than 65 dB image rejection. Ahmed Magdy, Sameh A. Ibrahim, Ahmed Hussein Khalil, Hassan Mostafa |
ISCAS | 1 |
| 2014 | Ovis: A Framework for Visual Analysisof Ocean Forecast EnsemblesabstractWe present a novel integrated visualization system that enables interactive visual analysis of ensemble simulations of the sea surface height that is used in ocean forecasting. The position of eddies can be derived directly from the sea surface height and our visualization approach enables their interactive exploration and analysis.The behavior of eddies is important in different application settings of which we present two in this paper. First, we show an application for interactive planning of placement as well as operation of off-shore structures using real-world ensemble simulation data of the Gulf of Mexico. Off-shore structures, such as those used for oil exploration, are vulnerable to hazards caused by eddies, and the oil and gas industry relies on ocean forecasts for efficient operations. We enable analysis of the spatial domain, as well as the temporal evolution, for planning the placement and operation of structures.Eddies are also important for marine life. They transport water over large distances and with it also heat and other physical properties as well as biological organisms. In the second application we present the usefulness of our tool, which could be used for planning the paths of autonomous underwater vehicles, so called gliders, for marine scientists to study simulation data of the largely unexplored Red Sea. Thomas Höllt, Ahmed Magdy, Peng Zhan, Guoning Chen, Ganesh Gopalakrishnan, Ibrahim Hoteit, Charles D. Hansen, Markus Hadwiger |
IEEE Trans. Vis. Comput. Graph. | 2 |
| 2013 | Visual analysis of uncertainties in ocean forecasts for planning and operation of off-shore structuresabstractWe present a novel integrated visualization system that enables interactive visual analysis of ensemble simulations used in ocean forecasting, i.e, simulations of sea surface elevation. Our system enables the interactive planning of both the placement and operation of off-shore structures. We illustrate this using a real-world simulation of the Gulf of Mexico. Off-shore structures, such as those used for oil exploration, are vulnerable to hazards caused by strong loop currents. The oil and gas industry therefore relies on accurate ocean forecasting systems for planning their operations. Nowadays, these forecasts are based on multiple spatio-temporal simulations resulting in multidimensional, multivariate and multivalued data, so-called ensemble data. Changes in sea surface elevation are a good indicator for the movement of loop current eddies, and our visualization approach enables their interactive exploration and analysis. We enable analysis of the spatial domain, for planning the placement of structures, as well as detailed exploration of the temporal evolution at any chosen position, for the prediction of critical ocean states that require the shutdown of rig operations. Thomas Höllt, Ahmed Magdy, Guoning Chen, Ganesh Gopalakrishnan, Ibrahim Hoteit, Charles D. Hansen, Markus Hadwiger |
PacificVis | 2 |