Tor-Morten Grønli

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Kristiania University College

Norway

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Tor-Morten Grønli is a Professor at Kristiania University College in Norway. His research areas focus on engineering machine learning-enabled software systems, intelligent transport services, telemedicine software architecture, and optimization schemes for industrial cyber-physical systems. He has recently published articles on topics such as AI-enabled vulnerability detection in IoT applications and best practices in design science research for mHealth applications.

Recent Grants

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BeInsight

Open Date: 2020-06-01

Close Date: 2022-06-01

Articles (19)

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Pattaraporn Khuwuthyakorn

Australian National University

AUSTRALIA

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Tor-Morten Grønli

Research Interests

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Contact this professor

About

Recent Grants

Articles (19)

State-of-the-Art and Challenges of Engineering ML- Enabled Software Systems in the Deep Learning Era

A Novel Homomorphic Blockchain Scheme for Intelligent Transport Services in Fog/Cloud and IoT Networks

Evolving Software Architecture Design in Telemedicine: A PRISMA-based Systematic Review

Evolving Software Architecture Design in Telemedicine: A PRISMA-based Systematic Review

BAGESS: A Software Module Based on a Genetic Algorithm to Sequentially Order Load-Balancing Evaluation Scenarios Over Smartphone-Based Clusters at the Edge

Evolutionary Meta-Heuristic Offloading and Scheduling Schemes Enabled Industrial Cyber-Physical System

IoT workload offloading efficient intelligent transport system in federated ACNN integrated cooperated edge-cloud networks

IoTvulCode: AI-enabled vulnerability detection in software products designed for IoT applications

Navigating Design Science Research in mHealth Applications: A Guide to Best Practices

A reinforcement federated learning based strategy for urinary disease dataset processing

RBEF: Ransomware Efficient Public Blockchain Framework for Digital Healthcare Application

RBEF: Ransomware Efficient Public Blockchain Framework for Digital Healthcare Application

Distributed Deep Neural-Network-Based Middleware for Cyber-Attacks Detection in Smart IoT Ecosystem: A Novel Framework and Performance Evaluation Approach

Distributed Deep Neural-Network-Based Middleware for Cyber-Attacks Detection in Smart IoT Ecosystem: A Novel Framework and Performance Evaluation Approach

A Context- and Trajectory-Based Destination Prediction of Public Transportation Users

Consumer-Centric Internet of Medical Things for Cyborg Applications based on Federated Reinforcement Learning

Microservices architectural based secure and failure aware task assignment schemes in fog‐cloud assisted Internet of things

Microservices architectural based secure and failure aware task assignment schemes in fog-cloud assisted Internet of things

Survey of Automated Fare Collection Solutions in Public Transportation

Collaborators (6)

Gheorghita Ghinea

Raghava Rao Mukkamala

Gebremariam Mesfin Assres

Andrii Shalaginov

Abdullah Lakhan

Pattaraporn Khuwuthyakorn

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