Demo Data from EDBT 2026 / reviewers in the wild / expert
Mitesh V. Badiwala
dblp:212/4622
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2020
0000-0003-4377-4164ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2
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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% | |
| Artificial intelligence
1 paper |
Robot manipulation · 77% Multi-agent systems · 23% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Medical and health informatics › image-guided intervention
endovascular intervention |
0.4 | 1 | 2020 | Robotic Swarm Control for Precise and On-Demand Embolization · ICRA 2020 |
Medical and health informatics
surgical robotics |
0.4 | 1 | 2020 | Robotic Swarm Control for Precise and On-Demand Embolization · ICRA 2020 |
Knowledge, reasoning and agents › Multi-agent systems
swarm robotics |
0.1 | 1 | 2020 | Robotic Swarm Control for Precise and On-Demand Embolization · ICRA 2020 |
Methods — techniques the papers use, named apart from their topics
magnetic field control · 0.9fluidic shear disassembly · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Robotic Swarm Control for Precise and On-Demand EmbolizationabstractExisting approaches for robotic control of magnetic swarms are not capable of generating magnetic aggregates precisely in an arbitrarily specified target region in a fluidic flow environment. Such a swarm control capability is demanded by medical applications such as clinical embolization (i.e., localized clogging of blood vessels). This paper presents a new magnetic swarm control strategy to generate aggregates only in a specified target region under fluidic flow. Within the target region, the magnetic field generates sufficiently large magnetic forces among magnetic particles to maintain the aggregates' integrity at the junctions of blood vessels. In contrast, unintended aggregates outside the target region are disassembled by fluidic shear. The aggregation control approach achieved a mean absolute error of 0.15 mm in positioning a target region and a mean absolute error of 0.30 mm in controlling the target region's radius. With thrombin coating, 1 μm magnetic particles were controlled to perform embolization both in vitro (using microfluidic channel networks) and ex vivo (using porcine tissue). Experiments proved the effectiveness of the swarm control technique for on-demand, targeted embolization. Mengxi Luo, Junhui Law, Xian Wang 0001, Liming Xin, Guanqiao Shan, Mitesh V. Badiwala, Yu Sun 0001 |
ICRA | 6 |
| 2019 | Automated Aortic Pressure Regulation in ex vivo Heart Perfusion
Liming Xin, Weiran Yao, Yan Peng 0001, Naiming Qi, Mitesh V. Badiwala, Yu Sun 0001 |
ICRA | 5 |