Impact Areas

Goal: Creating adaptable, service-oriented digital twin ecosystems

Aim: To design modular digital twin architectures that enhance visibility, coordination, and adaptability in complex physical–digital environments across healthcare and industry

Projects:

• Digital Hospitals (CUH–NHS): Modular twin integrating discrete event simulation, BIM, and IoT data streams

• Process Mapping in Histopathology: Flow-variable mapping to identify digitalisation opportunities and critical paths

• NGCDI with British Telecom: Fault localization and anomaly detection in national-scale broadband networks

• Space-Process Digital Twin (SSRN, Elsevier): Integration of spatial layouts and simulation to model resource–process dynamics in hospitals

Impact:

• Enabled cross-domain transfer of digital twin methodologies from manufacturing to healthcare

• Advised NHS Trusts, consultants, and suppliers on digital twin deployment and strategy

• Published in high-impact journals and top-tier conferences on digital modelling and process simulation

• Led development of modular, service-oriented digital twin reference architectures for hospitals and infrastructure

Goal: Democratizing digital transformation through affordable, modular technologies

Aim: To enable scalable, context-aware digital adoption in resource-constrained environments—across manufacturing, logistics, and healthcare

Projects:

• Digital Manufacturing on a Shoestring (UK, India, Australia) – low-cost, reconfigurable digital solutions for SMEs

• Logistics on a Shoestring – affordable tracking, EV fleet monitoring, warehouse analytics

• LoCOST with Boeing – resilient plant monitoring tools for edge-case operations

• Digital Twins in Healthcare – CUH Histopathology Twin, Virtual Environmental Sensors
  
  

Impact:

• 70+ SMEs empowered with scalable digital pilots across 4 countries

• Founder & Organising Chair of LoDiSA, the first of its kind global workshop series dedicated to low-cost industrial automation

• Co-licencee & Architect of modular shoestring platform architectures and digital solutions

• Developed robust frameworks for:
  • Impact assessment of low-cost deployments
  • COTS testing methodology for solution benchmarking
  • Modular energy analytics for SME contexts

• Influenced policy and IT strategies in both corporate and public sector ecosystems (e.g., Boeing, DPIRD Australia, NHS)

Goal: Architecting resilient and intelligent aerial/edge networks
 

Aim: To develop scalable offloading strategies, communication protocols, and system architectures that enable autonomous, resource-aware UAV and edge IoT ecosystems under real-world constraints

Projects & Research:

• PhD Thesis: “Offloading in UAV Networks” – foundational work on decision-making in aerial IoT under constraints

• CEaaS, Phantom Networks, ECoR: Pioneering offloading and routing strategies in resource-constrained environments (IEEE T-SUSC, TPDS)

• UAV Virtualization, AerialBlocks: Enabling persistent, heterogeneous UAV-as-a-Service frameworks (IEEE TVT, IoT Magazine)

• ROSE, SkopEdge, SPA: Coordination, auscultation, and latency-aware swarm scheduling (IEEE ICC, WCNC, COMSNETS)
  
  

Impact:

• 20+ high-impact publications across IEEE Transactions, Magazines, and Tier-1 conferences

• Vice-Chair, IEEE P1954: Contributing to global standards for self-organizing UAV communication

• Prototypes & frameworks adopted in smart farming, healthcare monitoring, and defense-aligned UAV applications

Goal: Enabling robust communication and data integrity in constrained networks

Aim: To develop secure, interoperable, and lightweight communication frameworks for IoT systems—especially in healthcare and resource-constrained environments—ensuring trust, privacy, and semantic cohesion

Projects:

• SemBox: Semantic Interoperability in a Box for wearables and edge devices

• BioBlock, Blockchain at the Edge, CovChain: Blockchain-based frameworks for integrity, privacy, and identity in IoT data flows

• HeDI & SDN-enabled Fog Security: Device interoperability and policy enforcement through programmable networks

• IoT Blockchain (Indo-UK UGC–UKIERI Project): Secure healthcare data acquisition and release over distributed ledgers

• Wearable Health Monitoring Systems: Plug-and-play architectures for secure, on-body sensing and transmission

Impact:

• Multiple IEEE T-Journal publications (JBHI, T-PDS, IoT-J, T-Comp) in healthcare and secure IoT

• Delivered secure, plug-and-play architectures for wearables and medical data pipelines

• Recognized by IEEE ComSoc and awarded INFOCOM Best Paper in E-Health (2022)

• Featured Keynotes & Invited Talks:
  • “Safety and Privacy in IoT Healthcare” – Indo-UK Workshop, IIT Kharagpur (2018)
  • “Phantom Networks” – Indo-UK Workshop, London (2020); also IEEE INFOCOM
  • “Synergizing Sensing, Communication & Storage in 5G IIoT Monitoring” – IIIT Sri City (2022)

• Impact on standardization: Vice-Chair role in IEEE P1954 and contributions to secure UAV–IoT data pathways

Goal: Improving productivity and safety with IoT in resource-heavy sectors

Aim: To design and deploy intelligent sensing and robotic systems that enhance efficiency, safety, and environmental awareness in sectors such as agriculture, mining, and water management

Projects:

• Precision Robotic Planter: Autonomous row-navigation and seed-spacing system for high-efficiency farming

• Digital Mine using IoT: Hazard and condition monitoring system for underground coal mines (strata, gas, fire, temperature)

• Experimental Sensor Networks for Water Use: IoT-cloud architecture for in-field agro-climatic monitoring and hydrologic modelling

• Drone-based Farming & Monitoring: Projects like SEGA (IIoT machine monitoring)
  
  

Impact:

• Developed field-tested robotic and sensor systems for real-world conditions in agriculture and mining

• Nationally funded by leading agencies: Govt. of India, ICAR, ITRA, Media Lab Asia

• Winner of Gandhian Young Technology Innovation Award (2018)—presented by the President of India

• Recognized in key workshops and invited talks, including:
  • “Designing Autonomous UAVs” – Media Lab Asia–ITRA Workshop (2017)
  • “Soldier-as-a-System & Surveillance Networks” – Defense Security Workshop, IIT Kharagpur (2019)

• Integrated IoT-cloud frameworks used for low-cost, scalable deployment across rural and remote sectors

Goal: Real-time sensing and analytics for industrial insight

Aim: To develop lightweight, adaptive, and deployable analytics tools that extract actionable intelligence from machine and operational data in real-world industrial environments

Projects:

• 5G Ports Project: Developed constrained discord detection from crane vibration signatures for predictive maintenance

• Condition Monitoring with Domain Adaptation: Edge AI for machine health monitoring using vibration data (IEEE IoT-J)

• Industry 4.0 on a Shoestring: Scalable analytics models for SME deployments

• Analytics on a Shoestring: Modular toolkits for lean, low-cost industrial analytics

• Energy & Vibration-Based Monitoring: Low-cost hardware/software stack for machine state tracking and anomaly detection
  
  

Impact:

• Developed unsupervised, low-cost anomaly detection and edge inference systems

• Published in top journals such as Advanced Engineering Informatics and IEEE Internet of Things Journal

• Tools deployed in live environments, including UK ports (e.g., Felixstowe) and manufacturing factories

• Featured in invited talks and keynotes, including:
  • “Lean Analytics” – Keynote at MICA 2023 (NIT Warangal)
  • “Modeling Test Procedures for Low-Cost Industrial Solutions” – Techno India University (2022)