Projects

Funded by CUH-NHS Foundation Trust. Leading the project and investigating approaches for a service-oriented, modular digital twin platform for hospitals and trialing various aspects of the twin (discrete event simulation of processes, low-cost digital solutions, and BIM systems) with the Addenbrookes Hospital's Histopathology department. Engaged and advised multiple NHS bodies, consultants, and medical supply chain industries.

Currently establishing and formalising initial pipelines for engaging with Indian manufacturing SMEs for helping them understand, prioritise, and adopt digital solutions for their operational issues. 60+ companies engaged successfully in Jan. '25 and currently deploying multiple digital solution pilots for 4 SMEs in two regions in India. Parterned with Indian Institute of Technology Indore (IIT-Indore), IITI DRISHTI CPS Foundation (Technology Innovation Hub), Mahindra Institute of Quality (MIQ).

Funded by EPSRC. Investigated and piloted various low-cost and modular digitalization approaches for U.K. and Scottish manufacturing SMEs. Proposed and evolved a novel testing methodology for low-cost COTS systems for determining the effectiveness of a developed low-cost digital solution in performing its intended task. Co-evolved an impact assessment framework for evaluating pre and post-deployment low-cost shoestring digital solutions. Parallely, proposed and evolved a modular energy analytics framework for various manufacturing industries.

Funded by Boeing. Investigated and architected various low-cost monitoring solutions for Boeing's manufacturing plant in Sheffield (U.K.), keeping the major technologies intact and the design flexible enough to tackle edge-case scenarios as they arose. The research was grounded in concrete and factual requirements instead of assumptions.

Collaborated on practical knowledge discovery and data analytics approaches with industries to test the potential of 5G at the Port of Felixstowe. Investigated and developed a predictive maintenance approach for massive and live multimodal sensor signatures from PLCs and IoT-based sensors. Developed a constrained discord detection mechanism using crane motor vibration signatures.

Funded by UK Warehouse Association (UKWHA). Investigated and architected various low-cost digital approaches for enhancing the operational efficiencies of logistics companies and warehouse operations, including monitoring electric vehicles within the warehouses.

Funded by UKRI and British Telecom. Investigated and architected approaches for anomaly detection of B.T.'s broadband network infrastructure. A dynamic anomaly detection approach was developed for localizing faults and fault severity in individual network links.

Funded by DPIRD (Govt. of Australia). Architected several low-cost digital monitoring solutions and investigated approaches for remote deployment of these solutions with various business associations in Western Australia, such as WA Corngrowers, Brewers Association, Wine Makers Association, and other local entities.

Funded by Innovate UK. Architected standalone low-cost digital monitoring solutions and solutions interfacing with industrial machines. The solutions are being deployed across Northern Ireland, Wales, and England with the broader project team in over 70+ SMEs.

Funded by Ministry of Electronics and Information Technology, Govt. of India. The project aims to develop a digital mine monitoring system using IoT that will make underground mines safer and increase the growth of production. The objective is to develop an integrated monitoring system for detecting hazardous gases, strata monitoring and strata fall prediction, mine fire detection, mine temperature, pressure, and humidity monitoring. Responsible for conceptualizing and implementing algorithms, methods, and hardware for underground coal mine safety and worker safety.

Funded by University Grants Commission (India) - UK-India Education and Research Initiative (UKIERI). Responsible for conceptualizing and implementing algorithms, methods, and hardware for acquisition and encryption of healthcare data, and finally releasing it on an IoT Blockchain.

Funded by Indian Council for Agricultural Research, Govt. of India. The project aims to develop a live-scale precision planter that navigates through the plant rows and promotes seed spacing and depth control with increased efficiency, thus helping in increased productivity of farming. The objective is to develop a robotic precision planter which can plant seeds precisely along spaced rows, providing better monitoring capabilities, improved spacing, and better yield. Responsible for conceptualizing and implementing vision and non-vision positioning and navigation algorithms, methods, and hardware for agricultural robotic planter. The planter has to autonomously navigate a given plot of land and plant seedlings at pre-defined intervals.

Funded by Information Technology Research Academy, Media Lab. Asia, Department of Electronics and Information Technology. The project aimed to develop an experimental sensor network for monitoring climate, soil (nutrient and fertilizer), and water conditions during the crop growing seasons at field scales and to develop a regional crop monitoring system using the historic and near real-time remotely sensed vegetation index datasets that can monitor crop growth on a weekly basis. Eventually, the information will be used to develop a hydrologic modeling framework at watershed and regional scales that can provide estimates of weekly soil moisture (drought maps), evapotranspiration, runoff, and groundwater levels. Provided technical know-how, implementation, and support for deployment and analysis of data gathered from wireless sensor networks, deployed for in-field monitoring of agricultural data. Developed and implemented an IoT-Cloud based infrastructure for integrating and automated analysis of the incoming field data. Designed various smartphone apps and sensor nodes for low-cost field parameter monitoring.