Critical Sensor Density for Event-Driven Data-Gathering in Delay and Lifetime Constrained WSN. - Debanjan Sadhukhan; Seela Veerabhadreswara Rao 001 (WWIC, 2016)

Effect of Clock Skew in Event Driven, Delay Constrained Heterogeneous WSN with Anycast. - Debanjan Sadhukhan; Seela Veerabhadreswara Rao 001 (Wirel. Pers. Commun., 2017)

Thermal Imagery Based Instance Segmentation for Energy Audit Applications in Buildings. - Youness Arjoune; Sai Peri; Niroop Sugunaraj; Debanjan Sadhukhan; Michael Nord 002; Gautham Krishnamoorthy; David Flynn; Prakash Ranganathan (IEEE BigData, 2019)

Heat Loss Estimation using UAS Thermal Imagery. - Katelyn Koiner; Andrew Rosener; Debanjan Sadhukhan; Daisy Flora Selvaraj; Zakaria El Mrabet; Matt Dunlevy; Prakash Ranganathan (EIT, 2019)

RF Exploitation and Detection Techniques using Software Defined Radio: A Survey. - Martin Pozniak; Debanjan Sadhukhan; Prakash Ranganathan (EIT, 2019)

Minimum cost event driven WSN with spatial differentiated QoS requirements. - Debanjan Sadhukhan; Seela Veerabhadreswara Rao 001 (Wirel. Networks, 2019)

Energy efficient multi-beacon guard method for periodic data gathering in time-synchronized WSN. - Debanjan Sadhukhan; Seela Veerabhadreswara Rao 001 (Wirel. Networks, 2020)

An Instance Segmentation and Clustering Model for Energy Audit Assessments in Built Environments: A Multi-Stage Approach. - Youness Arjoune; Sai Peri; Niroop Sugunaraj; Avhishek Biswas; Debanjan Sadhukhan; Prakash Ranganathan (Sensors, 2021)

Minimizing Critical Event Delay and Maximizing Lifetime in a Hybrid Data-Gathering Protocol for WSNs. - Debanjan Sadhukhan; Seela Veerabhadreswara Rao 001 (Wirel. Pers. Commun., 2021)

t-RELOAD: A REinforcement Learning-based Recommendation for Outcome-driven Application. - Debanjan Sadhukhan; Sachin Kumar; Swarit Sankule; Tridib Mukherjee (AIMLSystems, 2023)

EFfECT-RL: Enabling Framework for Establishing Causality and Triggering engagement through RL. - Debanjan Sadhukhan; Deepanshi Seth; Sanjay Agrawal 005; Tridib Mukherjee (CIKM, 2024)

Generalized Experiment Conclusion Framework for Extremely Volatile Data. - Satyam Anand; Deepanshi Seth; Sanjay Agrawal 005; Debanjan Sadhukhan; Tridib Mukherjee (COMAD/CODS (December), 2024)