Papers + reproducibility

Papers, experiments, and supporting code.

Formal research outputs provide the evidentiary layer beneath the public overview. Publication status is stated explicitly, and supporting repositories are linked where they are available.

First-author work is foregrounded here; selected collaborative publications appear separately with research leadership and participation made explicit.

See how the research questions developed

Doctoral research

Thesis

The doctoral thesis provides the current evidentiary core for the work on belief maintenance, information usefulness, and impaired adaptive sensing.

Information That Arrives Is Not Always Useful: Belief Maintenance Under Impaired Adaptive Wildfire Sensing

Doctoral thesis · in progress · Dalhousie University

First-author published research

Published work

A Framework Using Federated Learning for IoT-Based Forest Fire Prediction

Published · IEEE Xplore

IoT Sensor Deployment in the Wildland Urban Interface: Leveraging Fire Risk Analysis

Published · IEEE Xplore

Toward a Universal Sensor: Predictive Inference for Adaptive Sensing in Wildfires

Published · IEEE Sensors Journal

First-author current manuscripts

Current line of work

These manuscripts carry the research from adaptive deployment toward belief maintenance, information usefulness, networked monitoring, and cross-domain tests of the same underlying problem.

The Deployment Layer: A Decision Module for Adaptive Sensor Deployment in Dynamic IoT Environments

Under review · Elsevier Internet of Things

Information Delivery Versus Information Usefulness in IoT-Based Adaptive Wildfire Sensing

Under review · IEEE Internet of Things Journal

From Telemetry Delivery to Belief Maintenance: Entropy-Drift Certificates for Impaired Networked Monitoring

Under review · IEEE Transactions on Network and Service Management

Alert Usefulness Under Impaired Security Telemetry

Under review · ACM Digital Threats: Research and Practice

Manifest-Bound LoRa Physical Replay for Measuring Receiver-Side Report Preservation

In development · venue under consideration

Collaborative published research

Selected collaborative publications

The principal research was led by the first authors identified below; participation was primarily through review and editing.

Spatio-Temporal Agnostic Deep Learning Modeling of Forest Fire Prediction Using Weather Data

Led by Abdul Mutakabbir

Abdul Mutakabbir · Chung-Horng Lung · Samuel A. Ajila · Marzia Zaman · Kshirasagar Naik · Richard Purcell · Srinivas Sampalli

Published · IEEE Xplore

A Data Integration Framework with Multi-Source Big Data for Enhanced Forest Fire Prediction

Led by Parveen Kaur

Parveen Kaur · Kshirasagar Naik · Richard Purcell · Srinivas Sampalli · Chung-Horng Lung · Marzia Zaman · Abdul Mutakabbir

Published · IEEE Xplore

Vegetation Land Cover and Forest Fires in Canada: An Analytical Data Visualization

Led by Abdul Mutakabbir

Abdul Mutakabbir · Chung-Horng Lung · Marzia Zaman · Kshirasagar Naik · Richard Purcell · Srinivas Sampalli · Thambirajah Ravichandran

Published · IEEE Xplore

Repositories are presented as supporting research artefacts rather than substitutes for the papers they accompany.

Publication and review status should remain explicit as the record changes.

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