Alireza Dehlaghi Ghadim
Sharif University of Technology, Tehran, Iran
M.Sc., Software Engineering, Jan 2012
Thesis Topic: A Performance Evaluation of Grid Scheduling Algorithms based on Market Theory
Area of Study: Grid Computing, Economical Grid, Graph Theory, Game Theory, Algorithm Design
Iran University of Science and Technology, Tehran, Iran
B.Sc., Software Engineering, Aug 2009
Thesis Topic: Investigation of bug discovery and locating in software systems, A survey
Area of Study: Software Testing, Graph Theory
Alireza Dehlaghi Ghadim is a researcher on cybersecurity of Industrial Control Systems (ICSs) focusing on using AI & ML for Intrusion detection systems (IDSs). After receiving his MSc degree in software engineering from the Sharif University of Technology (SUT), he worked as a software designer and developer in the control automation industry. This experience spiked his interest in the security of Industrial Control Systems (ICSs) and Industrial IoT solutions. Currently, he is following his research interests as a Ph.D. candidate in Mälardalens University (MDH) and as a researcher in the Research Institute of Sweden (RISE).
With the advent of the smart industry, Industrial Control Systems (ICSs) are more interested in using the cloud, IoT, and other public network services to achieve industry 4.0 targets that expose such systems to Cyber-risks. To protect ICSs against cyber-attacks, Intrusion Detection Systems (IDSs) and Intrusion Prevention Systems (IPSs) empowered by Artificial Intelligence (AI) and Machine Learning (ML) methods to detect abnormal behavior of the systems.
His research domain is Cybersecurity of Industrial Control Systems (ICSs) and designing Intrusion detection systems (IDSs) using AI&ML. Cyber attacks take the system from its normal function and leave traces on the system state variable or network data. Therefore, advanced AI algorithms such as convolutional neural networks and time series AI could help IDS find cyber attacks using remained data traces from attacks.
Selected MSc Publication:
InSecTT – Intelligent Secure Trustable Things, a pan-European effort with 52 key partners from 12 countries (EU and Turkey), will provide intelligent, secure and trustworthy systems for industrial applications to provide comprehensive cost-efficient solutions of intelligent, end-to-end secure, trustworthy connectivity and interoperability to bring the Internet of Things and Artificial Intelligence together. InSecTT aims at creating trust in AI-based intelligent systems and solutions as a major part of the AIoT.
Role: Researcher on cybersecurity of Industrial Control Systems (ICSs) focusing on Intrusion detection systems (IDSs) using AI & ML approaches.
IndTech Industrial Technology Graduate School
The deployment of such transformative industrial digital technologies in manufacturing and process industries is the core focus of the INDTECH industrial graduate school.
Role: Industrial PhD student.
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