Prasenjit Karmakar

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 22

Top Topics

Environmental Sciences

Reinforcement Learning

Top Venues

IEEE Trans. Netw. Serv. Manag.

ACM Trans. Sens. Networks

PerCom Workshops

Publications

Prasenjit Karmakar, Ajay Kumar Meena, Kushal Natani, Sandip Chakraborty
Multimodal Sensing for Predicting Real-time Biking Behavior based on Contextual Information. PerCom Workshops (2024)
Argha Sen, Avijit Mandal, Prasenjit Karmakar, Anirban Das, Sandip Chakraborty
Passive Monitoring of Dangerous Driving Behaviors Using mmWave Radar. Pervasive Mob. Comput. 103 (2024)
Prasenjit Karmakar, Swadhin Pradhan, Sandip Chakraborty
Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities. CoRR (2024)
Prasenjit Karmakar, Swadhin Pradhan, Sandip Chakraborty
Exploring Indoor Air Quality Dynamics in Developing Nations: A Perspective from India. CoRR (2024)
Prithviraj Pramanik, Prasenjit Karmakar, Praveen Kumar Sharma, Soumyajit Chatterjee, Abhijit Roy, Santanu Mandal, Subrata Nandi, Sandip Chakraborty, Mousumi Saha, Sujoy Saha
: Localized Low-cost Outdoor Air Quality Sensing over a Thermo-hygrometer. ACM Trans. Sens. Networks 19 (3) (2023)
Argha Sen, Anirban Das, Prasenjit Karmakar, Sandip Chakraborty
mmAssist : Passive Monitoring of Driver's Attentiveness Using mmWave Sensors. COMSNETS (2023)
Prasenjit Karmakar, Swadhin Pradhan, Sandip Chakraborty
Exploring Indoor Health: An In-depth Field Study on the Indoor Air Quality Dynamics. CoRR (2023)
Ratna Mandal, Prasenjit Karmakar, Soumyajit Chatterjee, Debaleen Das Spandan, Shouvit Pradhan, Sujoy Saha, Sandip Chakraborty, Subrata Nandi
Exploiting Multi-modal Contextual Sensing for City-bus's Stay Location Characterization: Towards Sub-60 Seconds Accurate Arrival Time Prediction. ACM Trans. Internet Things 4 (1) (2023)
Argha Sen, Avijit Mandal, Prasenjit Karmakar, Anirban Das, Sandip Chakraborty
mmDrive: mmWave Sensing for Live Monitoring and On-Device Inference of Dangerous Driving. CoRR (2023)
Argha Sen, Avijit Mandal, Prasenjit Karmakar, Anirban Das, Sandip Chakraborty
mmDrive: mmWave Sensing for Live Monitoring and On-Device Inference of Dangerous Driving. PERCOM (2023)
Biplav Choudhury, Prasenjit Karmakar, Vijay K. Shah, Jeffrey H. Reed
Learning based Age of Information Minimization in UAV-relayed IoT Networks. CoRR (2022)
Prasenjit Karmakar, Vijay K. Shah, Satyaki Roy, Krishnandu Hazra, Sujoy Saha, Subrata Nandi
Reliable Backhauling in Aerial Communication Networks Against UAV Failures: A Deep Reinforcement Learning Approach. IEEE Trans. Netw. Serv. Manag. 19 (3) (2022)
Prithviraj Pramanik, Prasenjit Karmakar, Praveen Kumar Sharma, Soumyajit Chatterjee, Subrata Nandi, Sandip Chakraborty, Mousumi Saha, Sujoy Saha
AQuaMoHo: Localized Low-Cost Outdoor Air Quality Sensing over a Thermo-Hygrometer. CoRR (2022)
Ratna Mandal, Prasenjit Karmakar, Soumyajit Chatterjee, Debaleen Das Spandan, Shouvit Pradhan, Sujoy Saha, Sandip Chakraborty, Subrata Nandi
Exploiting Multi-modal Contextual Sensing for City-bus's Stay Location Characterization: Towards Sub-60 Seconds Accurate Arrival Time Prediction. CoRR (2021)
Praveen Kumar Sharma, Prasenjit Karmakar, Soumyajit Chatterjee, Abhijit Roy, Santanu Mandal, Sandip Chakraborty, Subrata Nandi, Sujoy Saha
Can I go for a roof walk today?: know your housing's air quality from a thermo-hygrometer. BuildSys@SenSys (2021)
Prasenjit Karmakar, Shalabh Bhatnagar
On tight bounds for function approximation error in risk-sensitive reinforcement learning. Syst. Control. Lett. 150 (2021)
Prasenjit Karmakar, Shalabh Bhatnagar
Stochastic Approximation With Iterate-Dependent Markov Noise Under Verifiable Conditions in Compact State Space With the Stability of Iterates Not Ensured. IEEE Trans. Autom. Control. 66 (12) (2021)
Prasenjit Karmakar
Stochastic Approximation with Markov Noise: Analysis and applications in reinforcement learning. CoRR (2020)
Ratna Mandal, Prasenjit Karmakar, Abhijit Roy, Arpan Saha, Soumyajit Chatterjee, Sandip Chakraborty, Sujoy Saha, Subrata Nandi
Ad-hocBusPoI: Context Analysis of Ad-hoc Stay-locations from Intra-city Bus Mobility and Smartphone Crowdsensing. SIGSPATIAL/GIS (2020)
Prasenjit Karmakar, Shalabh Bhatnagar
Two Time-Scale Stochastic Approximation with Controlled Markov Noise and Off-Policy Temporal-Difference Learning. Math. Oper. Res. 43 (1) (2018)
Prasenjit Karmakar, Shalabh Bhatnagar
A note on the function approximation error bound for risk-sensitive reinforcement learning. CoRR (2016)
Prasenjit Karmakar, Raj Kumar Maity, Shalabh Bhatnagar
On a convergent off -policy temporal difference learning algorithm in on-line learning environment. CoRR (2016)
Prasenjit Karmakar, K. Gopinath
Are Markov Models Effective for Storage Reliability Modelling? CoRR (2015)
Prasenjit Karmakar, K. Gopinath
Scalable Reliability Modelling of RAID Storage Subsystems. CoRR (2015)
Prasenjit Karmakar, Shalabh Bhatnagar
Two Timescale Stochastic Approximation with Controlled Markov noise. CoRR (2015)