Contact Details:
Mail: ar718 [AT] kent [dot] ac [dot] Uk
Publons ID: ABD-7139-2021
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Ali Raza
Ali Raza
AI Research | Machine Learning | Deep Learning| Data Science | Federated Learning | Security| Privacy
AI Research | Machine Learning | Deep Learning| Data Science | Federated Learning | Security| Privacy
I am interested in building intelligence infrastructure to enable collaborative machine learning, and more generally in the generation, usage, and governance of data. My work attempts to use theory as a guide to building systems that work in the real world. So far, it has involved topics such as federated learning, decentralized learning, explainable AI, robustness, security, and privacy.
The true potential of machine learning can only be unleashed when it is trustworthy and responsible. Carefully building, designing, and understanding complex behavior of machine learning systems to avoid any unintended bias, security, and privacy concerns is, I believe, one of the most pressing problems we currently face.
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- Education:
Doctor Of Philosophy (PhD) in Automation and Industrial Informatics Engineering (2020-2023)
University of Lille, France.
Doctor Of Philosohpy (PhD) in Computer Science (2020-2023)
University of Kent, United Kingdom.
Master in Electronics and Computer Engineering (2018-2020).
Hongik University, South Korea.
BSc. Computer Engineering . (2013-2017)
University of Engineering and Technology Taxila, Pakistan.
- Research Groups Membership:
GEMTEX research laboratory belongs to ENSAIT, an engineering school located in the north of France. The research themes are specialized in textiles
GEMTEX research laboratory belongs to ENSAIT, an engineering school located in the north of France. The research themes are specialized in textiles
- IAD
With the goal of developing further studies about Data Science and Explainable Artificial Intelligence, the International Chair in Data Science and Explainable Artificial Intelligence was founded in September 2018. We have aimed to develop a roadmap that starts from Industry 4.0 to reach Industry 5.0 and beyond which drives sustainability since 2018. Studies about Industry 5.0 will focus on combining human creativity and craftsmanship with the speed, productivity, and consistency of AI systems.
With the goal of developing further studies about Data Science and Explainable Artificial Intelligence, the International Chair in Data Science and Explainable Artificial Intelligence was founded in September 2018. We have aimed to develop a roadmap that starts from Industry 4.0 to reach Industry 5.0 and beyond which drives sustainability since 2018. Studies about Industry 5.0 will focus on combining human creativity and craftsmanship with the speed, productivity, and consistency of AI systems.
The University of Kent has set cyber security as one of its strategic research areas and has therefore established the Institute of Cyber Security for Society (iCSS), a University-wide hub promoting interdisciplinary research and educational activities in a wide range of cyber security related topics.
The University of Kent has set cyber security as one of its strategic research areas and has therefore established the Institute of Cyber Security for Society (iCSS), a University-wide hub promoting interdisciplinary research and educational activities in a wide range of cyber security related topics.
- Journal Publications (SCI/SCIE):
8: Ali Raza., Kim Phuc Tran, Ludovic Koehl, Shujun Li, Zeng, X., & Benzaidi, Khalid. (2021). Lightweight Transformer in Federated Setting for Human Activity Recognition. arXiv preprint arXiv:2110.00244. Submitted to IEEE-Transcations on Mobile Computing.
7: Ali Raza., Shujun Li., Kim Phuc Tran, & Ludovic Koehl. (2022). Detection of Poisoning Attacks with Anomaly Detection in Federated Learning for Healthcare Applications: A Machine Learning Approach. arXiv preprint arXiv:2207.08486. Submitted to IEEE-Transcations on Dependable and secure computing.
6:Ali Raza, Kim Phuc Tran, Ludovic Koehl, & Shujun Li." AnoFed: Adaptive Anomaly Detection Using Transformer-Based Federated Learning and Support Vector Data Description", Accepted in Engineering Applications of Artificial Intelligence (Elsevier). (Impact Factor 7.802 , Q1)
5: Ali Raza, Kim Phuc Tran, Ludovic Koehl, & Shujun Li. "Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI". Published in Knowledge-based Systems, (2021). (Impact Factor 8.139, Q1)
4:Ali Raza, Kyunghyung Han, Seon Oun Hwang, "A Framework For Privacy Preserving, Distributed Search Engine Using Topology Of DLT And Onion Routing", Published in IEEE Access, Jan 2020. (Impact Factor 4.098 , Q1)
3: Ali Raza, Safiullah Khan and Seong Oun Hwang "A Secure Authentication Protocol against Co-located App Attack in BLE", Published in IEIE Transactions of Smart Processing and Computing, 2020. (Impact Factor 0.83 )
2: KyungHyun Han, Ali Raza, Seon Oun Hwang, "CAPTCHA-based Secret-Key Sharing Using Quantum Communication ", Accepted in IEEE IT-Professional, Aug 2021. (Impact Factor 3.7, Q2 )
1: Safiullah, Ali Raza, Seon Oun Hwang, "An Enhanced Privacy Preserving, Secure and Efficient Authentication Protocol for VANET ", Published in Computers, Materials and Continua, October 2021 . (Impact Factor 3.772 , Q1)
- Conference Publications:
1: SO Hwang, Ali Raza "Quantum Transmission Control Protocol (QTCP)", IEIE conference 2020, Jeju, South Korea.
2: Ali Raza., Kim Phuc Tran, Ludovic Koehl, Shujun Li," Proof of Swarm Based Ensemble Learning for Federated Learning Applications", ACM/SIGAPP Symposium on Applied Computing -2023 (Accepted)
- Books:
Book Title: Machine Learning and Probabilistic Graphical Models for Decision Support Systems
2: Wearable Technology for Smart Manufacturing in Industry 5.0(Book Chapter)
Book Title: Artificial Intelligence for Smart Manufacturing
3: Deciphering the Orthodox Dilemma of LIFE (Coming Soon).
- Invited Talks:
1: "Smart Healthcare with XAI and Federated Learning," Artificial Intelligence and Data Science with Applications, Webinar UDA, Vietnam. 20, December 2021. LINK
2: "ECG Monitoring with XAI and Federated Transfer Learning" Institute of Cyber Security for Society (iCSS) seminar, University of Kent, Uk. 26 November, 2021.
- Collaborations:
Following are some universities where I have collaborated with teams on different research topics, such as Healthcare with AI, Security and Privacy, and Machine Learning
University of Lille, France.
University of Kent, UK.
University of Northumbria, UK.
Donga University, Vietnam.
Gachon University, South Korea.
Hongik University, South Korea.
- Reviewer:
IEEE-Transaction on Intelligent Transportation Systems
Elsevier-Engineering Applications of Artificial Intelligence
International Journal of Information Technology & Decision Making
Springer-Artificial Intelligence Review (AIRE)
International Federation of Automatic Control-2022
SMARTTECH-22: The 2022 International Conference of Smart Systems and Emerging
- Co-supervised Masters Students:
Khalid Benzaidai (Human Activity recognition using Support Vector Machines)
Teselonika Hukaetau and Constance Haie (Sales forecasting using RF)
Flavia Germain and Raphaelle Cousin (Human activity recognition using CNNs)
I have also supervised 20+ undergrad students in various AI projects
- Teaching
PhD Courses: Machine learning with python
Masters Coursers: Privacy, Introduction to Artificial Intelligence and Cryptograhpy.
- Affiliations:
1: Pakistan Engineering Council.
Registered Engineer at Pakistan Engineering Council, PK.2: IOSH Membership:
Member of International Occupation of Safety and Health, UK.3: Professional member Association of Computing Machinery (ACM)
4: Member International Chair in Data Science and Explainable Artificial Intelligence
- Mock Courses for Security and Privacy:
1: Network Protocols and Architecture (view Certificate) :
The estimated workload is 4 weeks of study. Each week is approximately 2.5 to 5 hours of content.Telethia WillisCisco.2: Blockchain 360: A State of the Art for Professionals:
4 hours of studyFabian Garcia Pastor & Enrique BarraEIT Digital.3: FinTech Security and Regulation (RegTech):
7 hours of videos in total, plus a final project requiring about 5 hours to complete.Theodore Henry King CLARK.The Hong Kong University of Science and Technology.4: Usable Security:
7 weeks of study, 5-8 hours/weekJennifer GolbeckUniversity of Maryland, College Park5: DEV206.1x: Introduction to XAML and Application Development:
A course of study offered by Microsoft, an online learning initiative of Microsoft Corporation through edX.6: INF201.12x: Introduction to Windows Server :
A course of study offered by Microsoft, an online learning initiative of Microsoft Corporation through edX.- Mock Courses for Machine Learning:
1: Advanced Deployment Scenarios with Tensorflow (View Certificate)
2: Neural Networks and Deep Learning (View Certificate)
3: Advanced Deployment Scenarios with Tensorflow (View Certificate)
Books for Applied AI/ML
Books for Applied AI/ML
Following are books/lectures/blogs which I recommend for beginners in AI/ML:
The well being thesis:
The well being thesis:
Want to explore the goals, meaning, motivation, and learning types behind your postgraduate research? Check out the well-being thesis, it might help you answer these questions.
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