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A Postgraduate Student and
Intelligent Systems Researcher
from NIT Durgapur
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Innovative problem-solver with a passion for leveraging technology to make a meaningful impact. Currently pursuing an M.Tech in Computer Science at NIT Durgapur, I specialize in TinyML, IoT, and intelligent systems, focusing on creating practical, user-centric solutions for real-world challenges.
With experience spanning cutting-edge research, impactful publications in top-tier conferences like COMSNETS and ICDCN, and hands-on contributions in industry, I thrive at the intersection of creativity and technical expertise. My projects, including personalized air quality monitoring and assistive technologies, are designed to bridge the gap between technology and everyday life.
I believe in combining collaboration, innovation, and hard work to push boundaries and create solutions that truly matter. Always curious, always learning, and excited to contribute to the next big idea. Let’s connect and make it happen! 🚀
Curriculum Vitae
Curriculum Vitae
Arko_CV_September_2024.pdfMy Work
My Work
I-PolluSense
I-PolluSense
This project proposal aims at developing the platform with an affordable device to monitor air and noise pollution in India at the personal/community level. The platform integrates pollution sensors into a single board and uses a TinyML microcontroller for on-device processing.
In the core of the I-PolluSense platform is the device's fault tolerance features such as "Might Be Faulty" model, and other validation and calibration models.
Here are my contributions towards the on-board Might Be Faulty model of I-PolluSense
Efficient Air Quality Index Prediction on Resource-Constrained.pdf[Workshop Paper] Efficient Air Quality Index Prediction on Resource-Constrained Devices using TinyML: Design, Implementation, and Evaluation
[Workshop Paper] Efficient Air Quality Index Prediction on Resource-Constrained Devices using TinyML: Design, Implementation, and Evaluation
Arko Datta, Aniruddha Pal, Ranbir Marandi, Nilanjan Chattaraj, Subrata Nandi, and Sujoy Saha, ICDCN '24: Proceedings of the 25th International Conference on Distributed Computing and Networking (January 2024)
Real-Time Air Quality Predictions for Smart Cities using TinyML.pdf[Poster / Demo Paper] Real-Time Air Quality Predictions for Smart Cities using TinyML
[Poster / Demo Paper] Real-Time Air Quality Predictions for Smart Cities using TinyML
Arko Datta, Aniruddha Pal, Ranbir Marandi, Nilanjan Chattaraj, Subrata Nandi, and Sujoy Saha, ICDCN '24: Proceedings of the 25th International Conference on Distributed Computing and Networking (January 2024)
ICMNSS Student Design Contest, 10th - 12th July 2024.pdf[Poster] An Intelligent, Personalised, and Self-Validating Air Quality Monitoring System
[Poster] An Intelligent, Personalised, and Self-Validating Air Quality Monitoring System
Arko Datta and Pabitra Majhi, ICMNSS Student Design Contest, 10th - 12th July 2024
PolluSenseCheck_Cost_Effective_TinyML-based_Air_Quality_Monitoring_System_with_In-Built_Sensor_Fault_Detection.pdf[Conference Paper] PolluSenseCheck: Cost Effective TinyML-based Air Quality Monitoring System with In-Built Sensor Fault Detection
[Conference Paper] PolluSenseCheck: Cost Effective TinyML-based Air Quality Monitoring System with In-Built Sensor Fault Detection
Arko Datta , Joyita Chakraborty, Pabitra Majhi, Astom Mondal, Satyaki Roy, Subrata Nandi, Sujoy Saha: 17th International Conference on COMmunication Systems & NETworkS (COMSNETS), 6th - 10th January 2025
Tutorials
Tutorials
A Gentle Introduction to Internet of Things
A Gentle Introduction to Internet of Things
A Winter Training session that introduces the very basics of Internet of Things
A Gentle Introduction to Data Preprocessing
A Gentle Introduction to Data Preprocessing
A Winter Training session that introduces the very basics of Data Preprocessing
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