Professor Ibrahim Khalil
Details
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Department: School of Computing Technologies
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Campus: City Campus Australia
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ibrahim.khalil@rmit.edu.au
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ORCID:
0000-0001-5512-114X
Open to
- Masters Research or PhD student supervision
About
Ibrahim Khalil is a Professor at the School of Computing Technologies at RMIT University, Melbourne, Australia. He received his Ph.D. in Computer Science from the University of Bern, Switzerland, in 2003, marking the beginning of a career that would span continents and sectors. Before his tenure at RMIT University, Khalil amassed significant experience in the tech hubs of Silicon Valley, where he worked as a software engineer focused on secure network protocols and smart network provisioning. His academic journey also includes valuable stints at EPFL the University of Bern in Switzerland, and Osaka University in Japan. A prolific contributor to the fields of Blockchain and Privacy, Khalil has led several high-profile ARC discovery and linkage grants in Australia between 2018 and 2024, alongside securing international European grants, industry grants, and a QNRF grant from Qatar. His research portfolio is diverse, encompassing Privacy, Blockchain, secure AI data analytics, distributed systems, e-health, wireless and body sensor networks, biomedical signal processing, and Quantum Computing, reflecting a broad and impactful engagement with the frontiers of computing and technology.
Research Grants
I have been awarded research grants to fund projects in the areas of LLM/GenAI, privacy, blockchain, security, and defense. These grants have facilitated exploration and advancement in these areas. Notable ones are: ARC Discovery Project DP250100582 (2025-2027) - Privacy-Aware Intelligent Digital Twin for Secure Critical Infrastructures; ARC Discovery Project DP220100215 (2022-2025) - Privacy-aware Smart Access Control for Internet-of-Things on Blockchain; ARC Discovery Project DP210102761 (2021-2024)- Constraint-based Privacy Preserving BioSignal Data Management on Blockchain; ARC Discovery Project DP18010325 (2018-2021) - Privacy-Preserving Online User Matching; ARC LP LP240100417 (2025-2027) - Federated Fine-Tuning Framework for Secure and Collaborative GenAI Models; ARC LP LP160101766 (2017-2020) - Privacy-preserving Cloud Data Mining-as-a-Service; NPRP11S-1227-170135 (2019-2022) Qatar National Research Fund (QNRF) (2019-2022): Designing an Efficient Smart Contract based Blockchain System from Multi-modal Supply Chain Systems; SPGP 2022 (2022-2023) Department of Defence Strategic Policy Grants 2022 : Australia’s trade and the threat of autonomous unmanned underwater vehicles; SELFY EU (2022-2025) SELFY: SELF assessment, protection & healing tools for a trustworthY and resilient CCAM.
Research Areas
Security, Privacy, Federated Learning, GenAI/LLM, Blockchain, and Distributed Systems, Quantum Computing,
Contact Details:
Ibrahim Khalil, PhD
Professor, Cloud Systems and Security
School of Computing Technologies
RMIT University, Melbourne, Australia
Email: ibrahim.khalil@rmit.edu.au
Phone: 0399252879
https://orcid.org/0000-0001-5512-114X
https://dblp.org/pers/hd/k/Khalil:Ibrahim
https://www.linkedin.com/in/ibrahim-khalil-b8bb1641/
https://www.researchgate.net/profile/Ibrahim_Khalil25
https://loop.frontiersin.org/people/1030674/bio
Supervisor projects
- An Explainable AI Approach for Anomaly Detection in IoT Network Traffic
- 29 Apr 2025
- Implementation and Optimization of Theorem Prover for PPTL with Indexed Expressions
- 11 Jun 2024
- Enhancing Poisoned Attack Detection in Federated Machine Learning through Synthetic Data Generation: A Language Model-Based Approach
- 31 Oct 2023
- Privacy-preserving Demand Response at the Network Edge
- 24 Oct 2023
- Cross Domain Searchable Encryption
- 6 Jun 2023
- Privacy-aware Smart Access Control for Internet-of-Things on Blockchain
- 25 May 2023
- Byzantine general problem optimization for decentralized gradient descent
- 13 Apr 2023
- TOWARDS INTEGRATING PRIVACY PRESERVING BLOCKCHAIN BASED FEDERATED LEARNING FOR HUMAN DISEASE DIAGNOSIS
- 15 Dec 2022
- Secure, Robust, and Scalable Privacy Preserving Data Analytics and Machine Learning Framework for IoT System
- 5 Dec 2022
- Privacy-preserving Biometrics in Distributed Machine Learning Environments
- 18 Nov 2022
- Privacy-Preserving Collaborative Learning Over Medical Data
- 25 Oct 2022
- Evaluating the Efficacy of Trust-Based Intelligence Routing Algorithm Using Neural Networks for Delay Tolerant Network in the Enhancement of the Internet of Things(IoT) Security
- 24 Mar 2022
- Secure and Robust Collaborative Learning for Internet-of-Things Data Analytics
- 12 Mar 2021
- Next-Generation Collaborative Learning with Integrated Trust, Privacy, Governance and Scalability Solutions
- 12 Mar 2021
- Privacy-Preserving Models in Edge-Cloud Interplay for Smart Systems
- 29 Apr 2020
- Practical Secure Data Analytics Systems with Privacy Assurance
- 17 Jun 2019
- Signature-based Privacy-preserving Data Authentication for IoT
- 24 Apr 2019
- Blockchain-based AI-enabled Data Protection for the Internet of Things
- 11 Oct 2018
- Scalable Data Perturbation for Privacy Preserving Large Scale Data Analytics and Machine Learning
- 2 Aug 2018
- Secure Lightweight Authentication with Privacy Protection in IoT and its Applications
- 15 Dec 2017
- Preserving Privacy in Edge Computing
- 13 Dec 2017
- An intelligent healthcare system with peer-to-peer learning and data assessment
- 18 Jul 2016
- Privacy Preserving Recommender system
- 9 Mar 2016
- Privacy-preserving data analytic in cloud computing
- 22 Jul 2013
- A System for the Visual Detection and Analysis of Obsessive Compulsive Disorder
- 4 Mar 2013
- Reliable and Secure Low Energy Sensed Spectrum Communication for Time Critical CloudComputing Applications
- 30 Jan 2013
Teaching interests
Security, Blockchain, Networking, Cloud
Research interests
Security, Privacy, Federated Learning, GenAI/LLM, Blockchain, and Distributed Systems, Quantum Computing,
