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Rakesh Kumar Agrawal

Senior Consultant In Development Department · Atos

https://researchid.co/rakesh1608
@atos.net
1Google Scholar Citations
1Google Scholar h-index

Research Interests

Human-Centered AI, Intelligent Systems, Responsible Innovation, Trustworthy AI, AI Ethics, Digital Transformation, and Emerging Technologies.

Biography

Rakesh Kumar Agrawal is an AI Innovator and technology professional with extensive experience in digital transformation, intelligent systems, and enterprise technology solutions. His research interests include Human-Centered Artificial Intelligence (AI), Responsible Innovation, Intelligent Systems, Trustworthy AI, AI Governance, Digital Transformation, and Emerging Technologies. He is actively engaged in interdisciplinary research exploring the intersection of artificial intelligence, ethics, sustainability, and socio-technical systems. Rakesh has contributed to research, peer review, and professional activities across diverse domains, including AI-driven decision support systems, cybersecurity, smart systems, and technology management. He is particularly interested in developing practical and responsible AI solutions that enhance human capabilities while addressing societal, ethical, and governance challenges. His current work focuses on advancing trustworthy and sustainable AI frame

Education

Bachelor of Technology in Electronics and Communication

Recent Google Scholar Publications

  1. Dynamic Constitutional Control of Agentic Enterprise Digital Twins via Meta-Governor Agents
    2026.0
  2. BQEB-Data: An Open Benchmark Dataset for Autonomous Energy Intelligence and Smart Grid Analytics
    https://doi.org/10.5281/zenodo.19656915 , 2026, 2026.0
  3. BIO-Quantum Energy Brain (BQEB)
    https://dx.doi.org/10.21227/xj9b-2885 , 2026, 2026.0
  4. BQEB ForecastBench: Benchmarking AI Models for Smart Grid Forecasting Using BQEB-Data v1
    https://doi.org/10.13140/RG.2.2.20746.43208 and https://doi.org/10.5281 … , 2026, 2026.0
  5. Bio Brain: An Explainable Federated AI Framework for Multi-Omics Disease Risk Prediction in Life Science
    IJSAT-International Journal on Science and Technology 17 (2), 6 , 2026, 2026.0

Research Outputs

Development of AI-driven frameworks, intelligent decision-support systems, digital transformation solutions, and enterprise technology innovations.

Grants / Consultancy

None Available for consultancy and advisory engagements in Artificial Intelligence (AI), Digital Transformation, Intelligent Systems, Technology Strategy, Innovation Management,...

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