PhD Candidate at Wuhan University, China
Ms. Sheetal Harris is a dedicated PhD candidate and research fellow with over 15 years of academic experience. She holds a Master’s in Information Technology Security from the University of Central Lancashire, UK, with distinction. Currently pursuing her PhD at Wuhan University, her research focuses on Fake News Detection, Artificial Intelligence, and Generative AI, with a special emphasis on resource-constrained languages like Urdu. Ms. Harris has edited 15 books on Military Histories and Biographies and is actively working on a patent for Fake News Detection. Her research contributions aim to bridge gaps in AI research by addressing language bias and developing innovative datasets. She has been awarded a CSC Full Scholarship and holds a Graduate Teaching Assistant position at Edge Hill University, UK.
Profile
Google Scholar
ORCID
Ms. Sheetal Harris is currently a PhD candidate at Wuhan University, where she is pursuing advanced research in the fields of Artificial Intelligence, Fake News Detection, and Generative AI. Her academic journey at Wuhan University follows a distinguished career, with previous studies including a Master’s in Information Technology Security from the University of Central Lancashire, UK, where she graduated with distinction. Her strong foundation in IT security and AI applications has propelled her research endeavors, allowing her to explore innovative solutions to complex challenges such as misinformation and language bias in AI.
Work Experience 💼:
Ms. Sheetal Harris has over 15 years of academic experience in diverse roles, starting as a dedicated educator and gradually transitioning into a researcher. She has taught and presented at various conferences, showcasing her ability to communicate complex topics effectively to audiences at all levels. In addition to her academic experience, Ms. Harris has edited 15 books on Military Histories and Biographies, many of which are available on Amazon. Her current role as a Graduate Teaching Assistant at Edge Hill University, UK, coupled with her CSC Full Scholarship for her PhD research, demonstrates her commitment to academia. She has also contributed to innovative projects, particularly in the fields of Fake News Detection and Generative AI.
Skills 🔍
Ms. Sheetal Harris possesses a diverse skill set that spans both academic and technical domains. With a strong foundation in Information Technology Security, she has expertise in Artificial Intelligence, Natural Language Processing (NLP), and Generative AI. Her research on Fake News Detection and language bias showcases her ability to tackle complex problems using advanced techniques like Pre-trained Language Models (PLMs) and Large Language Models (LLMs). As an effective communicator, she excels in public speaking, teaching, and presenting complex ideas to varied audiences. Her organizational skills are demonstrated through her editorial role in 15 books on military histories and biographies, as well as her data curation expertise in creating large, multimodal datasets for AI applications.
Research Interests:
Ms. Sheetal Harris’s primary research interests lie in the fields of Fake News Detection, Artificial Intelligence (AI), and Generative AI. She focuses on addressing the challenges of language bias in AI research, particularly through the detection of fake news in resource-constrained languages such as Urdu. Her work involves using Pre-trained Language Models (PLMs), Large Language Models (LLMs), and NLP techniques to develop advanced detection mechanisms. Additionally, Ms. Harris is exploring the role of AI and Generative AI in domains like healthcare and education, with a particular emphasis on understanding the cyber threats these technologies may pose. Her research contributes to the development of state-of-the-art frameworks for fake news detection and the broader AI landscape.
📚 Publications
Title: Blockchain and Machine Learning in EHR Security: A Systematic Review
- Authors: U Zukaib, X Cui, M Hassan, S Harris, HJ Hadi, C Zheng
- Journal: IEEE Access
- Volume: 11, Pages: 130230-130256
- Cited by: 7
- Year: 2023
Title: Phase I, open-label, drug interaction study to evaluate the effect of repeat doses of rifampin on the single-dose pharmacokinetics of mirabegron (YM178) in healthy adult subjects
- Authors: T Sawamoto, J Lee, Y Cao, D Kowalski, A Alak, J Meijer, M van Gelderen, …
- Journal: Clinical Pharmacology & Therapeutics
- Volume: 89, Pages: S21-S22
- Cited by: 5
- Year: 2011
Title: Ax-to-Grind Urdu: Benchmark Dataset for Urdu Fake News Detection
- Authors: S Harris, J Liu, HJ Hadi, Y Cao
- Conference: 2023 IEEE 22nd International Conference on Trust, Security, and Privacy
- Cited by: 3
- Year: 2023
Title: Visual Transformer for Resilience to Adversarial Attacks in OCT Retinal Images
- Authors: Yawar Abbas, Donghong Ji, Hassan Jalil Hadi, Sheetal Harris
- Conference: International Joint Conference on Neural Networks (IJCNN)
- Cited by: 1
- Year: 2024
Title: AIoT as New Paradigm for Distributed Network
- Authors: S Harris, HJ Hadi, Y Cao, KN Qureshi
- Book: Artificial Intelligence of Things (AIoT), Pages: 77-90
- Cited by: 1
- Year: 2024
Title: Autonomous and Collaborative Smart Home Security System (ACSHSS)
- Authors: HJ Hadi, KU Nisa, S Harris
- Preprint: arXiv preprint arXiv:2309.02899
- Cited by: 1
- Year: 2023
Conclusion
Ms. Sheetal Harris’ impactful contributions to AI research, particularly in Fake News Detection and Generative AI, make her an excellent candidate for the Research for Best Researcher Award. Her work on creating multimodal datasets in Urdu, her research in NLP, and her focus on AI in education and cyber threats place her at the forefront of emerging research. Her dedication to filling research gaps and driving innovation marks her as a promising researcher in the field.