Efficient Algorithms for Flock Detection in Large Spatio-Temporal Data. - Jui Mhatre; Harsha Agrawal; Sumit Sen (BDA, 2019)

Dynamic Reinforcement Learning based Scheduling for Energy-Efficient Edge-Enabled LoRaWAN. - Jui Mhatre; Ahyoung Lee (IPCCC, 2022)

Frequency Hopping Scheduling Algorithm in Green LoRaWAN: Reinforcement Learning Approach. - Jui Mhatre; Ahyoung Lee; Hoseon Lee (CSCN, 2023)

Machine Learning Load Balancing Algorithms in SDN-enabled Massive IoT Networks. - Aaron Harbin; Kane Baldwin; Jui Mhatre; Ahyoung Lee; Hoseon Lee (IPCCC, 2023)

MP-DDPG: Optimal Latency-Energy Dynamic Offloading Scheme in Collaborative Cloud Networks. - Jui Mhatre; Ahyoung Lee (SAC, 2023)

Toward an Optimal Latency-Energy Dynamic Offloading Scheme for Collaborative Cloud Networks. - Jui Mhatre; Ahyoung Lee; Tu N. Nguyen 001 (IEEE Access, 2023)

Design and Implementation of Multithreaded CAD-Enabled LoRa Simulator for Massive IoT. - Jui Mhatre; Ahyoung Lee; Hoseon Lee; Ramazan Aygun (IMCOM, 2024)

Experimental Analysis of LoRaWAN for Optimizing Water Quality Monitoring with Reinforcement Learning-Driven Scheduling. - Jui Mhatre; Minh Nguyen; Ahyoung Lee; Hoseon Lee (IPCCC, 2024)

DDPG_CAD: Intelligent Channel Activity Detection Scheduling in Massive IoT LoRaWAN. - Jui Mhatre; Ahyoung Lee; Hoseon Lee; Ngoc-Tu Nguyen 002 (NetSoft, 2024)

Improving Energy Efficiency and Reliability by Optimizing Gateway Placement in Dense LoRaWAN Networks. - Jui Mhatre; Ahyoung Lee; Hoseon Lee; Tu N. Nguyen 001; Kun Suo (WF-IoT, 2024)

AI/ML-Based Water Quality Monitoring Mobile App for Predicting E.coli in Surface Waters. - Keerthi Priya Karumanchi; Jui Mhatre; Ahyoung Lee; Hoseon Lee (IMCOM, 2025)