Demo Data from EDBT 2026 / reviewers in the wild / expert
Dogaç Eldenk
dblp:407/9027
· DBLP profile ↗
3ranked-venue papers
1as first author
3since 2021 · last 2026
0009-0004-0628-9156ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Computer networks · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 first-author · 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.
| Human-computer interaction and pervasive computing
1 paper |
Wearable and physiological sensing · 67% Health and well-being technologies · 33% | |
| Computer graphics and multimedia
1 paper |
Visual content generation and editing · 100% | |
| Artificial intelligence
1 paper |
Segmentation and scene understanding · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Health and well-being technologies › health monitoring
cardiac monitoring |
1.0 | 1 | 2026 | Short Paper: EarSleeve: Transforming Everyday Earphones into a 12-Lead ECG Sensing Platform · SenSys 2026 |
Wearable and physiological sensing › earable sensing
earphone-based sensing |
1.0 | 1 | 2026 | Short Paper: EarSleeve: Transforming Everyday Earphones into a 12-Lead ECG Sensing Platform · SenSys 2026 |
Wearable and physiological sensing › vital sign monitoring
ECG monitoring |
1.0 | 1 | 2026 | Short Paper: EarSleeve: Transforming Everyday Earphones into a 12-Lead ECG Sensing Platform · SenSys 2026 |
Visual content generation and editing › sketch generation
portrait line drawing generation |
0.8 | 1 | 2024 | Learning Portrait Drawing with Unsupervised Parts · Int. J. Comput. Vis. 2024 |
Computer vision › Segmentation and scene understanding
part segmentation |
0.2 | 1 | 2024 | Learning Portrait Drawing with Unsupervised Parts · Int. J. Comput. Vis. 2024 |
Methods — techniques the papers use, named apart from their topics
unsupervised learning · 1.5human-in-the-loop design · 1.0dual-electrode eartip · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Short Paper: EarSleeve: Transforming Everyday Earphones into a 12-Lead ECG Sensing PlatformabstractAchieving multi-lead electrocardiography (ECG) in consumer-grade wearables remains challenging, as most devices provide only a few electrodes and cannot capture spatially diverse cardiac signals. Conventional 12-lead ECG, while clinically standard, requires ten electrodes across the body, confining its use to medical environments. We present EarSleeve, a modular dual-electrode eartip sleeve that transforms off-the-shelf earphones into a 12-lead ECG sensing platform through a human-in-the-loop design. Each sleeve embeds two conductive electrodes and electrically links both sides to form a four-electrode configuration. EarSleeve simultaneously records six limb leads and reconstructs 12-lead–equivalent ECG signals by sequentially contacting standard chest locations. In a 12-user study, EarSleeve captures clear ECG waveforms across all leads and is evaluated against an FDA-cleared reference. Results demonstrate the feasibility of reconstructing 12-lead–equivalent ECG signals using a minimum-electrode configuration under controlled conditions. To our knowledge, EarSleeve is the first system to achieve this with off-the-shelf earphones. Junxi Xia, Dogaç Eldenk, Yang Liu 0101, Stephen Xia |
SenSys | 2 |
| 2025 | Incidents During Microservice Decomposition: A Case StudyabstractSoftware errors and incidents are inevitable in web-based applications. Scalability challenges, increasing demand, and ongoing code changes can contribute to such failures. As software architectures evolve rapidly, understanding how and why incidents occur is crucial for enhancing system reliability. In this study, we introduce Carbon Health’s software stack, share our microservices journey, and analyze 107 incidents. Based on these incidents, we share insights and lessons learned on microservice decomposition. Finally, we suggest that starting with monolithic modularization as an initial step toward microservice decomposition may help reduce incidents and contribute to building more resilient software. Dogaç Eldenk, H. Alperen Çetin |
EASE | 1 |
| 2024 | Learning Portrait Drawing with Unsupervised Parts
Burak Tasdemir, Mustafa Goktan Gudukbay, Dogaç Eldenk, Adil Meric, Aysegul Dundar |
Int. J. Comput. Vis. | 3 |