Two Timescale Stochastic Approximation with Controlled Markov noise. - Prasenjit Karmakar; Shalabh Bhatnagar (CoRR, 2015)

Are Markov Models Effective for Storage Reliability Modelling? - Prasenjit Karmakar; K. Gopinath (CoRR, 2015)

Scalable Reliability Modelling of RAID Storage Subsystems. - Prasenjit Karmakar; K. Gopinath (CoRR, 2015)

A note on the function approximation error bound for risk-sensitive reinforcement learning. - Prasenjit Karmakar; Shalabh Bhatnagar (CoRR, 2016)

On a convergent off -policy temporal difference learning algorithm in on-line learning environment. - Prasenjit Karmakar; Raj Kumar Maity; Shalabh Bhatnagar (CoRR, 2016)

Two Time-Scale Stochastic Approximation with Controlled Markov Noise and Off-Policy Temporal-Difference Learning. - Prasenjit Karmakar; Shalabh Bhatnagar (Math. Oper. Res., 2018)

Ad-hocBusPoI: Context Analysis of Ad-hoc Stay-locations from Intra-city Bus Mobility and Smartphone Crowdsensing. - Ratna Mandal; Prasenjit Karmakar; Abhijit Roy; Arpan Saha; Soumyajit Chatterjee; Sandip Chakraborty 001; Sujoy Saha; Subrata Nandi (SIGSPATIAL/GIS, 2020)

Stochastic Approximation with Markov Noise: Analysis and applications in reinforcement learning. - Prasenjit Karmakar (CoRR, 2020)

Can I go for a roof walk today?: know your housing's air quality from a thermo-hygrometer. - Praveen Kumar Sharma; Prasenjit Karmakar; Soumyajit Chatterjee; Abhijit Roy; Santanu Mandal; Sandip Chakraborty 001; Subrata Nandi; Sujoy Saha (BuildSys, 2021)

On tight bounds for function approximation error in risk-sensitive reinforcement learning. - Prasenjit Karmakar; Shalabh Bhatnagar (Syst. Control. Lett., 2021)

Stochastic Approximation With Iterate-Dependent Markov Noise Under Verifiable Conditions in Compact State Space With the Stability of Iterates Not Ensured. - Prasenjit Karmakar; Shalabh Bhatnagar (IEEE Trans. Autom. Control., 2021)

Learning based Age of Information Minimization in UAV-relayed IoT Networks. - Biplav Choudhury; Prasenjit Karmakar; Vijay K. Shah; Jeffrey H. Reed (CoRR, 2022)

AQuaMoHo: Localized Low-Cost Outdoor Air Quality Sensing over a Thermo-Hygrometer. - Prithviraj Pramanik; Prasenjit Karmakar; Praveen Kumar Sharma; Soumyajit Chatterjee; Subrata Nandi; Sandip Chakraborty 001; Mousumi Saha; Sujoy Saha (CoRR, 2022)

Reliable Backhauling in Aerial Communication Networks Against UAV Failures: A Deep Reinforcement Learning Approach. - Prasenjit Karmakar; Vijay K. Shah; Satyaki Roy; Krishnandu Hazra; Sujoy Saha; Subrata Nandi (IEEE Trans. Netw. Serv. Manag., 2022)

mmAssist : Passive Monitoring of Driver's Attentiveness Using mmWave Sensors. - Argha Sen; Anirban Das; Prasenjit Karmakar; Sandip Chakraborty 001 (COMSNETS, 2023)

mmDrive: mmWave Sensing for Live Monitoring and On-Device Inference of Dangerous Driving. - Argha Sen; Avijit Mandal; Prasenjit Karmakar; Anirban Das; Sandip Chakraborty 001 (PERCOM, 2023)

Exploring Indoor Health: An In-depth Field Study on the Indoor Air Quality Dynamics. - Prasenjit Karmakar; Swadhin Pradhan; Sandip Chakraborty 001 (CoRR, 2023)

Exploiting Multi-modal Contextual Sensing for City-bus's Stay Location Characterization: Towards Sub-60 Seconds Accurate Arrival Time Prediction. - Ratna Mandal; Prasenjit Karmakar; Soumyajit Chatterjee; Debaleen Das Spandan; Shouvit Pradhan; Sujoy Saha; Sandip Chakraborty 001; Subrata Nandi (ACM Trans. Internet Things, 2023)

AQuaMoHo: Localized Low-cost Outdoor Air Quality Sensing over a Thermo-hygrometer. - Prithviraj Pramanik; Prasenjit Karmakar; Praveen Kumar Sharma; Soumyajit Chatterjee; Abhijit Roy; Santanu Mandal; Subrata Nandi; Sandip Chakraborty 001; Mousumi Saha; Sujoy Saha (ACM Trans. Sens. Networks, 2023)

Exploiting Air Quality Monitors to Perform Indoor Surveillance: Academic Setting. - Prasenjit Karmakar; Swadhin Pradhan; Sandip Chakraborty 001 (MobileHCI (Companion), 2024)

Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities. - Prasenjit Karmakar; Swadhin Pradhan; Sandip Chakraborty 001 (NeurIPS, 2024)

Multimodal Sensing for Predicting Real-time Biking Behavior based on Contextual Information. - Prasenjit Karmakar; Ajay Kumar Meena; Kushal Natani; Sandip Chakraborty 001 (PerCom Workshops, 2024)

Exploring Indoor Air Quality Dynamics in Developing Nations: A Perspective from India. - Prasenjit Karmakar; Swadhin Pradhan; Sandip Chakraborty 001 (ACM J. Comput. Sustain. Soc., 2024)

Passive Monitoring of Dangerous Driving Behaviors Using mmWave Radar. - Argha Sen; Avijit Mandal; Prasenjit Karmakar; Anirban Das; Sandip Chakraborty 001 (Pervasive Mob. Comput., 2024)

GLIDE: Multi-Agent Deep Reinforcement Learning for Coordinated UAV Control in Dynamic Military Environments. - Divija Swetha Gadiraju; Prasenjit Karmakar; Vijay K. Shah; Vaneet Aggarwal (Inf., 2024)

Real-time Air Quality Monitoring and Context-aware Alert System. - Anuj Kakde; Yashwant Krishna Pagoti; Sarthak Nikumbh; Prasenjit Karmakar; Sandip Chakraborty 001 (COMSNETS, 2025)

On-device Emotion Recognition from Spoken Language in Embedded Devices. - Neeraj Boddeda; Sharvari Wanjari; Shashank Goud Boorgu; Prasenjit Karmakar; Sandip Chakraborty 001 (PerCom Workshops, 2025)