Шафкат Сара

Sarah Shafqat is a multifaceted professional with a strong background in technology and research. She is the founder of DreamSofTech, a technology venture where she serves as a Business Analyst and consultant. Sarah has over 15 years of experience and is passionate about aligning technology-enabled businesses with the United Nations’ Sustainable Development Goals (SDGs). Additionally, she is a researcher affiliated with the International Islamic University in Islamabad, Pakistan, focusing on topics like cloud security and smart health. Her work has been published in various academic journals and conferences.

Sarah Shafqat has conducted notable research in the field of cloud security. One of her significant works is titled “Identity Matrix: Architecture Framework for Trusted Cloud Computing through Cloud Intellect”. This research focuses on creating a secure and trusted cloud computing environment by ensuring the confidentiality and integrity of data sources and computation processes.

The framework proposed in this study includes several modules, with the Identity Matrix (IMx) being a key component. It offers a virtual view of a network interface to support user-level access to high-speed communication devices, such as biometric devices, for user identification. The architecture aims to provide a systematic data warehouse that delivers meaningful information to various public and private sector organizations, helping them make informed decisions while eliminating risks posed by malicious users.

Sarah Shafqat has contributed to various fields, particularly focusing on cloud security, healthcare analytics, and smart city technologies. Here are some of her notable research works:

Big Data Analytics Enhanced Healthcare Systems: This review paper discusses how big data analytics can improve healthcare systems by providing better diagnostics and patient care.

Leveraging Deep Learning for Designing Healthcare Analytics Heuristic for Diagnostics: This study proposes a hybrid deep learning technique for medical diagnostics, validated using real-time datasets.

Energy-Aware Cloud Architecture for Intense Social Mobile (Device to Device) 5G Communications in Smart City: This research focuses on developing an energy-efficient cloud architecture to support 5G communications in smart cities.

SmartHealth: IoT-enabled Context-Aware 5G Ambient Cloud Platform: This paper explores the integration of IoT and 5G technologies to create a context-aware healthcare platform.

These works highlight her diverse expertise and contributions to advancing technology in healthcare and smart city infrastructure.