Faculty profile
Kshirasagar Naik
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Waterloo directory, so their courses and email address may be missing. Find their university profile.
Research
Latest papers
Personalized Smart Home Automation Using Machine Learning: Predicting User Activities.
Sensors (Basel, Switzerland) · 2025 · senior author
Spatio-Temporal Agnostic Sampling for Imbalanced Multivariate Seasonal Time Series Data: A Study on Forest Fires.
Sensors (Basel, Switzerland) · 2025
Towards Developing a Robust Intrusion Detection Model Using Hadoop-Spark and Data Augmentation for IoT Networks.
Sensors (Basel, Switzerland) · 2022
Latest funding
- $76,000
Methodologies and Algorithms for Robust Autonomous Vehicles
NSERC · 2023 · Principal investigator
- $89,999
An IoT security framework using deep/machine learning techniques for smart offices
NSERC · 2021 · Principal investigator
- $395,940
Predicting Risks of Forest Fires using Federated Machine Learning Methods
NSERC · 2021 · Principal investigator
4 publications.
Personalized Smart Home Automation Using Machine Learning: Predicting User Activities.
Gad MM, Gad W, Abdelkader T, Naik K
Spatio-Temporal Agnostic Sampling for Imbalanced Multivariate Seasonal Time Series Data: A Study on Forest Fires.
Mutakabbir A, Lung CH, Naik K, Zaman M, Ajila SA, Ravichandran T, Purcell R, Sampalli S
Towards Developing a Robust Intrusion Detection Model Using Hadoop-Spark and Data Augmentation for IoT Networks.
Manzano Sanchez RA, Zaman M, Goel N, Naik K, Joshi R
Activity Recognition in Residential Spaces with Internet of Things Devices and Thermal Imaging.
Naik K, Pandit T, Naik N, Shah P
Methodologies and Algorithms for Robust Autonomous Vehicles
Principal investigators: Naik, Kshirasagar
Keywords: intelligent transportation systems; robust autonomous vehicles; anomaly detection; safety, performance, and availability; machine learning; digital twins
An IoT security framework using deep/machine learning techniques for smart offices
Principal investigators: Naik, Kshirasagar K
Keywords: Anomaly detection; Artificial intelligence; Data security; Internet of Things; Machine/deep learning; Office automation; Security of wireless devices; Wireless sensors
Predicting Risks of Forest Fires using Federated Machine Learning Methods
Principal investigators: Naik, Kshirasagar K
Sustainable wireless sensor networks for long term monitoring of corrosion of water pipes
Principal investigators: Naik, Kshirasagar
Evaluation and Ranking of Electrical Transmission Reinforcement Options Using Machine Learning Techniques
Principal investigators: Naik, Kshirasagar
Mathematical Models of Mobile Computing Devices and Application Software
Principal investigators: Naik, Kshirasagar
Software driven early fault detection in large scale machine learning systems
Principal investigators: Naik, Kshirasagar
Design support for energy efficient mobile applications
Principal investigators: Naik, Kshirasagar
Energy performance evaluation of large software applications
Principal investigators: Naik, Kshirasagar
Dependable Execution of Applications on Smartphones
Principal investigators: Naik, Kshirasagar
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.