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"Rewiring the Digital Fabric: From Fragmentation to Democratized Transformation in Complex Systems"
Exploring information silos to design adaptive platforms, optimise networks, and transform organisations.
Distributed Intelligence and Edge Resilience
Empowering scalable, real-time decision-making with distributed learning, offloading, and resilient edge architectures.
Empowering scalable, real-time decision-making with distributed learning, offloading, and resilient edge architectures.
Anandarup Mukherjee et al., “Ubiquitous Domain Adaptation at the Edge for Vibration-based Machine Status Monitoring,” IEEE Internet of Things Journal, 2022
P. Deb et al., “Loop-the-Loops: Fragmented Learning Over Networks for Constrained IoT Devices,” IEEE Transactions on Parallel and Distributed Systems, 2022
S. Misra et al., “Latency-Aware Horizontal Computation Offloading for Parallel Processing in Fog-Enabled IoT,” IEEE Systems Journal, 2021
Anandarup Mukherjee et al., “Timed Loops for Distributed Storage in Wireless Networks,” IEEE Transactions on Parallel and Distributed Systems, 2021
S. Misra et al., “Blockchain at the Edge: Performance of Resource-Constrained IoT Networks,” IEEE Transactions on Parallel and Distributed Systems, 2020
Anandarup Mukherjee et al., “ECoR: Energy-Aware Collaborative Routing for Task Offload in Sustainable UAV Swarms,” IEEE Transactions on Sustainable Computing, 2020
Anandarup Mukherjee et al., “Resource-Optimized Multi-Armed Bandit Based Offload Path Selection in Edge UAV Swarms,” IEEE Internet of Things Journal, 2018
A. Mukherjee et al., “Distributed Aerial Processing for IoT-Based Edge UAV Swarms in Smart Farming,” Elsevier Computer Networks, 2019
S. Misra et al., “ROSE: Random Opportunistic and Selective Exploration for Cooperative Edge Swarm of UAVs,” IEEE COMSNETS, 2020
Adaptive Platforms and Digital Twin Ecosystems
Designing modular digital systems to represent and manage complex assets, environments, and organizations.
Designing modular digital systems to represent and manage complex assets, environments, and organizations.
L. Li et al., “Predictive alarm models for improving radio access network robustness,” Expert Systems with Applications, 2024
N. Moretti et al., “Data integration for space-aware Digital Twins of hospital operations,” Automation in Construction, 2024
Y. C. Chan et al., “A Process Simulation Model for a Histopathology Laboratory,” Winter Simulation Conference, 2024
N. Moretti et al., “Low-cost Digitalization Opportunities in Healthcare: A Histopathology Department Case-study,” LoDiSA Workshop, 2023
A. Mukherjee et al., “Healthcare Process and Variable Mapping For Identifying Digitalisation Opportunities and Building a Hospital Digital Twin,” EC3 Conference, 2023
A. Mukherjee et al., “Visualization of Relationship among Library Users based on Circulation Data,” DJLIT, 2010
Trusted Interoperability and IoT Integration
Creating secure, modular, and semantically interoperable systems for multi-device, multi-domain IoT ecosystems.
Creating secure, modular, and semantically interoperable systems for multi-device, multi-domain IoT ecosystems.
S. Misra et al., “SDN-Controlled Resource-Tailored Analytics for Healthcare IoT System,” IEEE Systems Journal, 2023
N. Pathak et al., “SemBox: Semantic Interoperability in a Box for Wearable e-Health Devices,” IEEE Journal of Biomedical and Health Informatics, 2022
P. Deb et al., “CEaaS: Constrained Encryption-as-a-Service in Fog-Enabled IoT,” IEEE Internet of Things Journal, 2022
N. Pathak et al., “HeDI: Healthcare Device Interoperability for IoT-Based e-Health Platforms,” IEEE Internet of Things Journal, 2021
N. Pathak et al., “Reconfigure and Reuse: Interoperable Wearables for Healthcare IoT,” IEEE INFOCOM, 2020 [🏆 2022 IEEE ComSoc Best Paper Award in E-Health]
S. Misra et al., “Blockchain-Enabled SDN for Securing Fog-Based Resource-Constrained IoT,” IEEE INFOCOM Workshop, 2020
Accessible Digital Transformation in Constrained Systems
Democratizing digitalization with low-cost, modular solutions for SMEs, healthcare, and infrastructure.
Democratizing digitalization with low-cost, modular solutions for SMEs, healthcare, and infrastructure.
D. McFarlane et al., “Progress Towards Low-Cost Industrial Digitalisation for SMEs,” IFAC INCOM, 2024
T. A. Abdel-Aty et al., “The Role of Low Cost Digital Solutions In Supporting Industrial Sustainability,” MDPI Sustainability, 2024
J. Kaiser et al., “Evaluating the Effectiveness of Designs for Low-cost Digital Manufacturing Systems,” MDPI Applied Sciences, 2023
J. Macias et al., “Low-cost Very Narrow Aisle Pallet Racking Vehicle Utilization Monitoring System,” LoDiSA Workshop, 2023
G. Terrazas et al., “Towards a Comparison of Low-cost Technologies for Monitoring Power Consumption,” LoDiSA Workshop, 2023
J. Macias et al., “The Role of Low-cost Digitalisation in Improving Operations Management,” SOHOMA, 2022
G. Yilmaz et al., “Impact Assessment Model for Low Cost (Shoestring) Digitalisation in Small Construction Organizations,” World Building Congress, 2022
G. Hawkridge et al., “Monitoring on a Shoestring: Low Cost Solutions for Digital Manufacturing,” IFAC Annual Reviews in Control, 2021
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