Demo Data from EDBT 2026 / reviewers in the wild / expert
Swasti Khurana
dblp:300/4429
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2023
0000-0002-8470-3082ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 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.
| Software engineering, system software, and programming languages
1 paper |
Services computing and microservices · 100% | |
| Computer networks
1 paper |
Internet of things and sensor networks · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Services computing and microservices
service composition |
0.7 | 1 | 2023 | Egalitarian Transient Service Composition in Crowdsourced IoT Environment · IEEE Trans. Serv. Comput. 2023 |
Internet of things and sensor networks › crowdsensing
crowdsourced iot |
0.2 | 1 | 2023 | Egalitarian Transient Service Composition in Crowdsourced IoT Environment · IEEE Trans. Serv. Comput. 2023 |
Methods — techniques the papers use, named apart from their topics
pareto-based genetic algorithm · 1.3multi-objective temporal optimization · 1.3dynamic bayesian networks · 0.7dynamic bayesian network · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Egalitarian Transient Service Composition in Crowdsourced IoT EnvironmentabstractThe Crowdsourced IoT Service (CIS) market is inherently different from other service markets, e.g., web services and cloud. The CIS market is dominated by transient services as both consumers and providers are dynamic in space and time. Consumer requests are usually long-term and demand continuity in service provision. We propose a novel egalitarian transient service composition framework from the CIS market perspective. We apply a Dynamic Bayesian Network to model the dynamic service provision behavior of the providers. The proposed framework transforms the composition of transient services into a multi-objective temporal optimization, i.e., providing continuous services to the maximum number of consumers, and minimizing the consumers’ cost of service usages over a long-term period. We incorporate a Pareto-based genetic algorithm to enable the fair distribution of services among the consumers. Experimental results prove the efficiency of the proposed approach in terms of continuous availability of service as well as fair distribution among consumers. Swasti Khurana, Novarun Deb, Sajib Mistry, Aditya Ghose, Aneesh Krishna, Khanh Hoa Dam |
IEEE Trans. Serv. Comput. | 1 |
| 2022 | Infographics Wizard: Flexible Infographics Authoring and Design ExplorationabstractAbstract Infographics are an aesthetic visual representation of information following specific design principles of human perception. Designing infographics can be a tedious process for non‐experts and time‐consuming, even for professional designers. With the help of designers, we propose a semi‐automated infographic framework for general structured and flow‐based infographic design generation. For novice designers, our framework automatically creates and ranks infographic designs for a user‐provided text with no requirement for design input. However, expert designers can still provide custom design inputs to customize the infographics. We will also contribute an individual visual group (VG) designs dataset (in SVG), along with a 1k complete infographic image dataset with segmented VGs in this work. Evaluation results confirm that by using our framework, designers from all expertise levels can generate generic infographic designs faster than existing methods while maintaining the same quality as hand‐designed infographics templates. Anjul Kumar Tyagi, Jian Zhao 0010, Pushkar Patel, Swasti Khurana, Klaus Mueller 0001 |
Comput. Graph. Forum | 4 |