رقم الترخيص: 1000609300

رقم الترخيص: 1000609300

البيانات الشخصية

الاسم الكامل

Ahlam Saud Althobaiti

تاريخ الميلاد

08/05/1988

الجنس

أنثى

رقم الهوية أو الإقامة

1089437162

العنوان

Taif

رقم الهاتف

0555030525

البريد الإلكتروني

a.s.althobaiti@tu.edu.sa

المعلومات الأكاديمية والمهنية

المؤهل العلمي

دكتوراه

التخصص

ذكاء اصطناعي

الجامعة أو المؤسسة الأكاديمية

Lancaster University

المسمى الوظيفي الحالي

Assistant Professor

الجهة العملية الحالية

Taif University

سنوات الخبرة

10

الخبرة البحثية والعملية

السجل البحثي

 List of Publications: – Ahlam Althobaiti, Anish Jindal, and Angelos K Marnerides (٢٠٢٠). “Scada-agnostic power modelling for distributed renewable energy sources.” In: ٢٠٢٠ IEEE ٢١st International Symposium on” A World of Wireless, Mobile and Multimedia Networks” (WoWMoM). IEEE, pp. ٣٧٩–٣٨٤. – Ahlam Althobaiti, Anish Jindal, and Angelos K. Marnerides (٢٠٢١). “Data-Driven Energy Theft Detection in Modern Power Grids.” In: Proceedings of the Twelfth ACM International Conference on Future Energy Systems. e-Energy ’٢١. New York, NY, USA: Association for Computing Machinery, pp. ٣٩–٤٨. – Ahlam Althobaiti, Anish Jindal, Angelos K Marnerides, and Utz Roedig (٢٠٢١). “Energy Theft in Smart Grids: A Survey on Data-Driven Attack Strategies and Detection Methods.” In: IEEE Access ٩, pp. ١٥٩٢٩١–١٥٩٣١٢. – Ahlam Althobaiti, Charalampos Rotsos, and Angelos K Marnerides (٢٠٢٣). “Adaptive Energy Theft Detection in Smart Grids Using Self-Learning with Dual Neural Network”. In: IEEE Transactions on Industrial Informatics.  Others: – Worked as a teacher assistant at Lancaster University: o Taught the Artificial Intelligence module. o Conducted Python sessions. – Worked as a reviewer for top-tier scientific journals: o Computer Communications. o IEEE Access. o IEEE Transactions on Industrial Informatics. o IEEE Transactions on Smart Grid. – Successfully presented works at premier conferences: o IEEE WoWMoM. o ACM SIGEnergy e-Energy.  Conferences, Workshops, and Professional Training: – Postgraduate Research Conference, Lancaster University. – Workshop on Project Planning and Research Management – Academic Writing and Conference Presentation Workshop. – Telecommunication Research Engagement Forum, Centre for Telecommunication Research, King’s College London. – Advanced Presentation and Public Speaking Skills Training. – Doctoral Research Symposium, BCS London Central Branch. – Getting Noticed in a Crowd: Producing an Effective Research Poster. – Research Integrity and Ethical Researcher Training. – Introduction to Teaching at Lancaster (ITL). – ١st Security Lancaster Institute Seminar: Risk-based Security Technical Debt Reduction: When Everything’s Important, Nothing Gets Done. – The Power of Data: Data Science Meeting Power and Energy, IEEE Power and Energy Society (PES) Women in Power UK and RI Chapter. – The Twelfth ACM International Conference on Future Energy Systems (ACM e-Energy) and Co-located Workshops. – How to Reactively Defend Against Advanced Cyber Threats, supported by Cyberwatching. – Industry Advisory Board (IAB) Networking Session, InfoLab٢١, Lancaster University. – Curriculum and Educational Development workshop. – Secrets of Academic Success, hosted by KAUST as part of the University Excellence Initiative. – Member of the Alumni Affairs Committee, College of Computing and Information Technology, Taif University.  Research Interests: My research focuses on data analytics, artificial intelligence, and cyber-physical systems, with a particular emphasis on cybersecurity for industrial systems. Key areas of interest include anomaly detection in smart energy infrastructures, securing distributed renewable energy resources (DRES), and developing advanced methods for threat detection and mitigation in modern power grids.

الخبرة في التحكيم

I have served as a reviewer for several top-tier international journals, including IEEE Access, Computer Communications, IEEE Transactions on Industrial Informatics, and IEEE Transactions on Smart Grid. Through this experience, I have evaluated high-impact research in artificial intelligence, cybersecurity, and smart energy systems. This role has further strengthened my expertise in assessing innovative methodologies and ensuring the scientific quality and integrity of research in my field.

الخبرة في مجال الطاقة أو البيئة

My research experience is strongly rooted in the energy domain, with a particular focus on securing modern power grids and distributed renewable energy systems. I have conducted extensive work on anomaly detection and energy theft detection, developing advanced data-driven and AI-based methods to safeguard smart energy infrastructures. My contributions include published studies on SCADA-agnostic power modelling, adaptive energy theft detection, and surveys of cyber-attack strategies in smart grids. This body of work highlights my commitment to advancing the resilience, efficiency, and sustainability of energy systems in the context of growing environmental and cybersecurity challenges.

المعلومات المتعلقة بالهاكثون

سبب الاهتمام بالتحكيم

I am deeply interested in judging this hackathon because it aligns closely with my academic and research expertise in artificial intelligence, cybersecurity, and smart energy systems. My work has focused on securing distributed renewable energy resources, detecting energy theft, and developing advanced methods for anomaly detection in power grids. Participating as a judge offers me the opportunity to contribute to the evaluation of innovative solutions in the energy domain, encourage creative approaches to sustainability and security, and support the next generation of researchers and practitioners in addressing the critical challenges facing modern energy infrastructures.

أي أفكار أو مشاريع سابقة تم تحكيمها

Previously, I have served as a reviewer for leading international journals such as IEEE Access, Computer Communications, IEEE Transactions on Industrial Informatics, and IEEE Transactions on Smart Grid. In this capacity, I evaluated a wide range of research projects and ideas, including data-driven approaches to energy theft detection, anomaly detection in smart grids, and cybersecurity solutions for distributed renewable energy systems. These experiences required assessing innovation, methodological soundness, and practical impact, skills that directly translate to judging projects and ideas in the energy domain.

أي ملاحظات أو اقتراحات

This hackathon supports the goals of Saudi Vision ٢٠٣٠ by fostering innovative solutions in renewable energy, efficiency, and infrastructure security. Linking projects to national priorities ensures participants’ ideas contribute directly to building a sustainable and diversified energy future for the Kingdom.

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