VLDB 2026 Research / reviewers in the wild / expert
Mridupawan Das
dblp:404/0357
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0006-8509-6479ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Computer 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.
| Computer networks
1 paper |
Edge and fog computing · 77% Internet of things and sensor networks · 23% | |
| Artificial intelligence
1 paper |
Efficient and distributed learning · 100% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Efficient and distributed learning › edge computing › on-device machine learning
TinyML |
0.3 | 1 | 2025 | Poster Abstract: ST AIoT Craft - A No-Code / Low-Code Cloud Solution for Edge AI Management in Smart Sensors · SenSys 2025 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Poster Abstract: ST AIoT Craft - A No-Code / Low-Code Cloud Solution for Edge AI Management in Smart SensorsabstractCurrent sensor-gateway-cloud solutions for machine learning (ML) life cycle development require extensive coding, hardware, and software expertise. We present ST AIoT Craft, the first no-code/low-code online platform for training, deploying, and managing distributed artificial intelligence of things (AIoT) and big data. The framework provides user-interface dashboards and web applications for sensor data logging and management, dataset preprocessing and visualization, automatic tinyML for in-sensor processors and microcontrollers, and end-to-end Internet of things (IoT) system setup and monitoring. The tools allow developers to manage intelligent IoT devices, gateways, and cloud infrastructure directly from a web browser. ST AIoT Craft is accessible at https://staiotcraft.st.com/. Mahesh Chowdhary, Swapnil Sayan Saha, Mridupawan Das, Jana Scukova, Miroslav Batek, Lisa Trollo, Davide Sergi, Davide Aliprandi, Alberto Villa, Andrea Palmieri, Mohammed Maher Jouini, Daniele Alfonso, Diego Melpignano |
SenSys | 3 |