Research

Projects

This project centers on developing an end-to-end quantum machine learning pipeline for early pancreatic cancer detection. The system integrates medical imaging, blood biomarkers, patient symptoms, and demographic information into a unified data representation. A quantum classifier algorithm leveraging the intricacies of qubit physics, then discerns anomalies potentially indicative of early developing cancer. The framework allows both supervised classification model development against labeled patient cohorts and unsupervised detection of outliers from healthy baselines. Both modes aid in translating findings toward clinical implementation for broad early screening.

Early detection of diseases using Quantum Computing*

Supervisory Control and Data Acquisition (SCADA) systems for offshore wind power plants (WPP) [1] are interconnected platforms for data acquisition, system control, and maintenance, requiring remote access. These distributed sets of devices pose cyber-security risks, as they are hard to maintain and patch, and they use open communication protocols. Optimizing the operation of critical infrastructures such as WPP project portfolio across different offshore sites is critical to meet future challenges and controlling the cost of electricity production as a whole. Therefore, there is a need to investigate a complete transformation of the WPP SCADA layout, moving processing from the distributed WPP sites to cloud platforms, centralizing control of legacy devices, creating digital twins to predict their maintenance remotely and aiming at reducing cost but without compromising key performance indicators and security. From a technical perspective, the project aims to validate:

1. Softwarization of Supervisory Control and Data Acquisition (SCADA) system components and its impact in the overall performance for WPP-sites control and management, where softwarization implies the substitution of hardware equipment for digital twins hosted in edge and fog clouds (virtualization), providing similar functionality and improved operability.

2. Security compliance of the resulting softwarized system based on digital twins (DT-SCADA), to assure standard certification requirements.

3. Implications, in terms of flexibility, operational capacity and cost reduction, of the introduction of a digital twin-based software defined networking (DT-SDN) for the management of the resulting communication networks.

Optimization of Supervisory Control and Data Acquisition architecture to enhance wind farm security and operation using digital twins *

The research project intends to comprehend the aspects of the gifted, talented, and innovative (GTI) environment that these countries are providing by studying the policies of the US and a few selected European nations. The research will take the suggestions from the policymakers and beneficiaries of these programs from the USA and Europe and compare them to the UAE government's present strategies for retaining the GTI workforce. Data gathering for the study will use a hybrid methodology so that it may benefit from qualitative form while also serving as the foundation for the collection of quantitative data for tangible results.

Eschew Brain drain and nurture brain bank in UAE - Lessons from US and European Countries

Healthcare management systems without data outsourcing delay communication and information sharing. EHR outsourcing to a cloud service provider (CSP) is common. EHR outsourcing should be secure without affecting CSP functionality. Searchable encryption could protect data without affecting searchability or accessibility. Most searchable encryption systems are centralized. Some CSPs are dishonest, hence these systems lack confidence. We use blockchain technology and smart contracts to build a decentralized data storage and access system that is auditable and immutable. First, we propose decentralized EHR storage and updates via blockchain-based searchable encryption. The proposed approach provides outsourced EHR secrecy, keyword search, user and server verifiability, storage immutability, and dynamic EHR updates. To prove the solution's viability, we build a JavaScript and Solidity prototype on Ethereum. Finally, we compare the scheme's performance and security to existing solutions. The outcome shows that the proposed approach is practicable and meets security and functional requirements. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0266916

Blockchain-based healthcare management system with two-side verifiability

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0266916

Blockchain in Bio-Healthcare 4.0

Wearable technology is essential to the health care system. The technology for human-computer interaction enhances information accuracy, speed of information processing, battery life, and the user experience. A full user-friendly, safe, and trustworthy medical ecosystem is being developed by combining big data, cloud computing/blockchain, and IoT. This also contributes to the expansion of the usage of wearable technology in other industries, such as telemedicine, preventative medicine, epidemiology, etc.

https://www.youtube.com/watch?v=j_KOc5B1Bf4&ab_channel=MadhusudanSingh

Wearable technology is essential to the health care system. The technology for human-computer interaction to enhance information accuracy, speed of information processing, battery life, and user experience A full user-friendly, safe, and trustworthy medical ecosystem is being developed by combining big data, cloud computing/blockchain, and IoT. This also contributes to the expansion of the usage of wearable technology in other industries, such as telemedicine, preventative medicine, epidemiology, etc.

https://www.youtube.com/watch?v=kFU1MT737zk&ab_channel=MadhusudanSingh

Wearable Bio Healthcare 4.0

Creative Convergence Minor Track Curriculum Development

This project aims to develop an effective curriculum plan for promoting digital transformation in various different industries. While learning about digital transformation methods and processes, the students will also cover the most recent and advanced technologies (such as artificial intelligence, data science, or blockchain). As a result, students’ digital literacy will also be expanded. Therefore, the ultimate goal of this curriculum plan is to boost job opportunities for all students, where the employment rate will be enhanced accordingly.

Courses included in the program:

AI-Driven Digital Transformation [https://www.youtube.com/watch?v=7Rd9OpauUNo&t=1s&ab_channel=MadhusudanSingh]
Blockchain Technology for Digital Business Model [https://www.youtube.com/watch?v=l6YoVmzy4PY&ab_channel=MadhusudanSingh ]
Digital Data Literacy in Digital Transformation

The project aims to work in the context of the fourth industrial revolution, or Industry 4.0, which consists of a natural evolution involving aspects of production, relating new communication resources, data processing, and approaches to manufacturing, expanding the possibilities of increasing industrial productivity, management of resources, and performance of the firm, with broad positive impacts in several areas. This process is allowing new software and artificial intelligence resources to be continuously associated with platforms and production systems, using advances in the area of microelectronics, computing, and data communication, generating the conditions for automation of prediction, monitoring, and planning, thus optimizing production. https://link.springer.com/book/10.1007/978-981-15-1137-0

Blockchain Technology for Industry 4.0

Data Science General Education Curriculum Design

The project aims to operate within the framework of the fourth industrial revolution, or Industry 4.0, which consists of a natural evolution involving production-related aspects, relating to new communication resources, data processing, and manufacturing approaches, expanding the possibilities of increasing industrial productivity, resource management, and firm performance, with broad positive impacts in a number of areas. Using developments in microelectronics, computing, and data communication, this process enables new software and artificial intelligence resources to be continuously associated with platforms and production systems, creating the conditions for automation of prediction, monitoring, and planning and thereby optimizing production.

Courses included in the program:

Data Discovery & Data Exploration from the interdisciplinary field helps to discover, collect, analyze, select explore and visualize the big data.

A self-driving automobile, or intelligent vehicle (IV), is a vehicle with internet connectivity that allows for vehicle-to-everything connections. This communication environment lacks security and contains a number of weaknesses. The key issues with IV communication are the accuracy, precision, and security of the data that is received and sent through the communication channel. In this paper, we offer blockchain technology as a means of enhancing trust and dependability in peer-to-peer networks with IV-like communication topologies. Additionally, we put out a use case for IV communication that uses blockchain technology. IV communication takes place in a safe, reliable environment created using blockchain technology. In the intelligent transportation system, this trusted environment offers a secure, distributed, and decentralized means for communication among IVs without revealing their private information.

https://link.springer.com/book/10.1007/978-981-16-2217-5

Blockchain enable Secure Autonomous Vehicles

Decentralized Distributed Secure Trusted Pharma Technologies

This project overcomes certain hindrances in the doctor-patient data industry proficiently by integrating its own technologies with blockchain. It establishes trust on a less decentralized market platform and creates a space in which relevant data can be efficiently distributed by simplifying the data extraction and collection process, providing crypto currency as an incentive for data provision, and establishing trust on a less decentralized market platform. In addition, Sirona Pharma establishes an environment that allows Sirona Coin, acquired through rewards, to be used in appointment management, medical insurance design, treatment expenses, etc. Through convergence with blockchain, Sirona Pharma will overcome the transitional impediments and create an unidentifiable doctor-patient data ecosystem that ensures the rights of data subjects. It is also a decentralized data market platform where patient data is freely traded, and will develop synergistically with various DApps in the future medical ecosystem.

https://www.youtube.com/watch?v=jpqj_cQdrto&ab_channel=MadhusudanSingh

In this project, we provide eHealthChain—a blockchain-based healthcare management system with two-sided verifiability for personal health information management systems (PHIMS), for managing health data originating from medical IoT devices and connected applications. The eHealthChain architecture consists of four layers: a blockchain layer for hosting a blockchain database, an IoT device layer for obtaining personal health data, an application layer for facilitating health data sharing, and an adapter layer, which interfaces the blockchain layer with the application layer. In comparison to existing systems, eHealthChain gives the user complete control over personal health data acquisition, sharing, and self-management. We also present a detailed implementation of a proof-of-concept (PoC) prototype of eHealthChain system built using the Hyperledger Fabric platform.

e-HealthChain- a Blockchain based personal health information management system [https://link.springer.com/article/10.1007/s12243-021-00868-6]

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