Prasenjit Karmakar

About

I am presently pursuing Ph.D. in the Department of Computer Science and Engineering at the Indian Institute of Technology Kharagpur, India. I received the B.Tech. degree in Computer Science and Engineering from Maulana Abul Kalam Azad University of Technology, West Bengal, India in 2020. My research interests include ubiquitous computing and sensing.

Employment

• Tata Consultancy Services Systems Engineer
  2020 - 2022

Education

• Indian Institute of Technology Kharagpur Doctor of Philosophy
  2022 - Present

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• From Invisible to Actionable: Augmented Reality Interactions with Indoor CO2
  2026 DOI: 10.1145/3772318.3791951
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• Exploring Indoor Air Quality Dynamics in Developing Nations: A Perspective from India
  ACM Journal on Computing and Sustainable Societies 2024 DOI: 10.1145/3685694
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• Exploiting Air Quality Monitors to Perform Indoor Surveillance: Academic Setting
  2024 DOI: 10.1145/3640471.3680243
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• GLIDE: Multi-Agent Deep Reinforcement Learning for Coordinated UAV Control in Dynamic Military Environments
  Information 2024 DOI: 10.3390/info15080477
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• AQuaMoHo : Localized Low-cost Outdoor Air Quality Sensing over a Thermo-hygrometer
  ACM Transactions on Sensor Networks 2023 DOI: 10.1145/3580279
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• Reliable Backhauling in Aerial Communication Networks Against UAV Failures: A Deep Reinforcement Learning Approach
  IEEE Transactions on Network and Service Management 2022 DOI: 10.1109/TNSM.2022.3196852
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• Exploiting Multi-modal Contextual Sensing for City-bus’s Stay Location Characterization: Towards Sub-60 Seconds Accurate Arrival Time Prediction
  ACM Transactions on Internet of Things 2022 DOI: 10.1145/3549548
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• Can I go for a roof walk today? know your housing's air quality from a thermo-hygrometer
  Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation 2021 DOI: 10.1145/3486611.3486663
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• Ad-hocBusPoI: Context Analysis of Ad-hoc Stay-locations from Intra-city Bus Mobility and Smartphone Crowdsensing
  Proceedings of the 28th International Conference on Advances in Geographic Information Systems 2020 DOI: 10.1145/3397536.3422273
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