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Mridupawan Das

dblp:404/0357 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Machine learning › Efficient and distributed learning › edge computing › on-device machine learning
TinyML
0.312025
Poster Abstract: ST AIoT Craft - A No-Code / Low-Code Cloud Solution for Edge AI Management in Smart Sensors · SenSys 2025
YearPublicationVenuePosition
2025 Poster Abstract: ST AIoT Craft - A No-Code / Low-Code Cloud Solution for Edge AI Management in Smart Sensors
abstract
Current 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
SenSys3