Raghu praneeth Akula

Human-Digital Twin Symbiosis Using Cognitive AI for Smart Manufacturing

Abstract:

With the convergence of Industry 5.0, cyber-physical systems and cognitive artificial intelligence (AI) the Human-Digital Twin (HDT) symbiosis has become the new paradigm of smart manufacturing. As opposed to traditional digital twins, which mostly model physical assets, Human-Digital Twins combine real-time physiological, behavioural and cognitive data of human operators with digital models of machines and processes, allowing humans and autonomous systems to intelligently interact. In this paper, a novel Cognitive AI-based Human-Digital Twin Symbiosis is suggested that uses multimodal sensing, edge-cloud computing, and deep learning models to monitor constantly human performance, contextual awareness, and operational states in the manufacturing environment. In the offered system, there are cognitive reasoning and adaptive decision-making alongside the use of predictive analytics, which contribute to enhancing the human-machine interaction, maximizing operational efficiency, and achieving safety and reliability. The proposed framework provides an opportunity to apply transformer-based cognitive models and reinforcement learning mechanisms to provide personalized support, workload optimization, and real-time detection of anomalies. Experimental testing indicates that there are vast improvements in production efficiency, operator safety, predictive maintenance accuracy, and system responsiveness with the conventional digital twin architectures. The findings indicate the promise of Cognitive AI-based Human-Digital Twin symbiosis in supporting intelligent, human-friendly manufacturing systems, and this will enhance the vision of resilient, adaptive and collaborative smart factories in the next generation industrial ecosystems.

Profile:

Oracle EPM Cloud Architect with over 18 years of experience in designing and delivering enterprise-scale financial planning and performance management solutions. I specialize in Oracle EPBCS, Essbase, Workforce, CAPEX, and profitability modeling, with a strong foundation in financial processes such as budgeting, forecasting, and reporting. I have led multiple cloud transformation initiatives, modernizing legacy Hyperion systems and building scalable, automated EPM solutions using Groovy scripting, REST APIs, and integration tools like FDMEE. Recently, my focus has expanded into emerging technologies, where I am actively exploring Generative AI and Agentic AI to enhance finance operations—enabling conversational analytics, automated insights, and intelligent decision support through integrations with platforms like Microsoft Copilot. I am passionate about bridging finance and technology, driving innovation, and helping organizations unlock greater value from their data through next-generation AI-powered solutions.