Anandarup Mukherjee
Ph.D., FRSS, SMIEEE, C.Eng., MIET
Senior Research Associate, University of Cambridge, U.K.
Democratising Digital Transformation, Digital Twins, Complex Networks, and Industry 4.0
Ph.D., FRSS, SMIEEE, C.Eng., MIET
Senior Research Associate, University of Cambridge, U.K.
Democratising Digital Transformation, Digital Twins, Complex Networks, and Industry 4.0
I am an experienced researcher with over 13 years of R&D experience and more than 7 years in team leadership and management, working at the intersection of resilient, distributed intelligence and complex systems. My work spans industrial platforms, IoT and UAV networks, healthcare systems, and digital transformation architectures, with a strong grounding in both hardware prototyping and software engineering. I specialize in designing modular, adaptive architectures that tackle the persistence of information silos, enabling real-time coordination, interoperability, and organisational process optimisation.
My approach combines distributed edge computing, digital twin platforms, and low-cost sensing to support scalable digitalisation—especially in resource-constrained or high-uncertainty environments. I’m particularly interested in translating system-level insights across domains to build platforms that are not only smarter but also resilient, inclusive, and future-ready.
Over the years, I have authored 70+ peer-reviewed publications, delivered multiple keynotes, and co-authored two textbooks on IoT and Industrial IoT. My work has attracted over 1,400 citations (h-index: 22, i10-index: 37), and I was recognized in Elsevier’s Top 2% Scientists (2024)—ranked globally in both Networking & Telecommunications and Mechanical and Transport domains.
As the Founder and Organizing Chair of the LoDiSA workshop series, I initiated a global scientific forum on low-cost digital solutions for industrial automation, now attracting researchers across 8+ countries. I have led the setup of 7 academic laboratories, co-developed 2 national MOOCs, supervised students at all levels, and taught across 8+ subjects.
Keywords: Resilience, Information Silos, Distributed Edge Intelligence, Interoperability, Digital Twins, IoT, UAV Networks, Applied Machine Learning, Complex Systems, Systems Architecture, Digital Transformation.
"Rewiring the Digital Fabric: From Fragmentation to Democratized Transformation in Complex Systems"
Exploring information silos to design adaptive platforms, optimise networks, and transform organisations.
My research explores the structure and flow of information within complex systems—from distributed assets and technical platforms to organizational processes. I focus on how information silos emerge, persist, and impact decision-making, and design solutions that promote resilience, interoperability, and intelligent autonomy. Through a combination of distributed computing, modular platform design, and human-system integration, I aim to create adaptive digital infrastructures that scale affordably and operate robustly, even in resource-constrained or high-uncertainty environments.
My research spans technical, architectural, and organizational layers of complex systems, including:
Platform ecosystems (digital twins, IoT integration frameworks)
Networks of assets (UAVs, factories, healthcare infrastructure)
Organisations as systems (SMEs, hospitals, logistics providers)
These systems are often fragmented by silos, operate under constraints, and need modular, low-cost, resilient architectures to scale effectively.
(Updated April 2025)