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
RESEARCH, TEACHING, or OTHER INTERESTS
Artificial Intelligence, Computer Engineering, Computer Science Applications, Information Systems
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Scholar Citations
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Scholar h-index
RECENT SCHOLAR PUBLICATIONS
Dynamic Constitutional Control of Agentic Enterprise Digital Twins via Meta-Governor Agents RK Agrawal 2026.0
BQEB-Data: An Open Benchmark Dataset for Autonomous Energy Intelligence and Smart Grid Analytics RK Agrawal https://doi.org/10.5281/zenodo.19656915 , 2026 2026.0
BIO-Quantum Energy Brain (BQEB) RK Agrawal https://dx.doi.org/10.21227/xj9b-2885 , 2026 2026.0
BQEB ForecastBench: Benchmarking AI Models for Smart Grid Forecasting Using BQEB-Data v1 RK Agrawal https://doi.org/10.13140/RG.2.2.20746.43208 and https://doi.org/10.5281 … , 2026 2026.0
Bio Brain: An Explainable Federated AI Framework for Multi-Omics Disease Risk Prediction in Life Science RK Agrawal IJSAT-International Journal on Science and Technology 17 (2), 6 , 2026 2026.0
Enterprise Digital Brain: An AI-Augmented System for Knowledge Organization and Cognitive Productivity RK Agrawal 2026.0
Enterprise AI–Driven Digital Transformation: A Framework-Based Approach for Large Enterprises RK Agrawal 2025.0 Citations: 1
Digital Brain for IT Operations and Observability: An AI-Augmented Cognitive Framework for Incident Intelligence RK Agrawal
MOST CITED SCHOLAR PUBLICATIONS
Enterprise AI–Driven Digital Transformation: A Framework-Based Approach for Large Enterprises RK Agrawal 2025.0 Citations: 1
Dynamic Constitutional Control of Agentic Enterprise Digital Twins via Meta-Governor Agents RK Agrawal 2026.0
BQEB-Data: An Open Benchmark Dataset for Autonomous Energy Intelligence and Smart Grid Analytics RK Agrawal https://doi.org/10.5281/zenodo.19656915 , 2026 2026.0
BIO-Quantum Energy Brain (BQEB) RK Agrawal https://dx.doi.org/10.21227/xj9b-2885 , 2026 2026.0
BQEB ForecastBench: Benchmarking AI Models for Smart Grid Forecasting Using BQEB-Data v1 RK Agrawal https://doi.org/10.13140/RG.2.2.20746.43208 and https://doi.org/10.5281 … , 2026 2026.0
Bio Brain: An Explainable Federated AI Framework for Multi-Omics Disease Risk Prediction in Life Science RK Agrawal IJSAT-International Journal on Science and Technology 17 (2), 6 , 2026 2026.0
Enterprise Digital Brain: An AI-Augmented System for Knowledge Organization and Cognitive Productivity RK Agrawal 2026.0
Digital Brain for IT Operations and Observability: An AI-Augmented Cognitive Framework for Incident Intelligence RK Agrawal
Publications
Digital Brain for IT Operations and Observability: An AI-Augmented Cognitive Framework for Incident Intelligence
BioBrain: An Explainable Federated AI Framework for Multi-Omics Disease Risk Prediction in Life Science
Enterprise Digital Brain: An AI-Augmented System for Knowledge Organization and Cognitive Productivity
A Multimodal Explainable AI Framework for Early Prediction of Chronic Diseases Using EHR and Wearable Data
Human Gastrointestinal Gas as a Non-Invasive Biomarker: A Wearable IoT and Edge AI Framework for Real-Time Health Monitoring
Smart ICU Monitoring System Using IoT and Edge AI for Real-Time Patient Risk Prediction
Global Engineering Risk Observatory (GERO)
Enterprise AI–Driven Digital Transformation: A Framework-Based Approach for Large Enterprises
RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)
Development of AI-driven frameworks, intelligent decision-support systems, digital transformation solutions, and enterprise technology innovations. Contributions include research prototypes, software solutions, technical reports, scholarly publications, and conceptual frameworks in Human-Centered AI, Intelligent Systems, Responsible Innovation, cybersecurity, and emerging technologies. Interested in advancing research outputs toward practical applications, intellectual property development, industry adoption, and societal impact.
CONSULTANCY
Available for consultancy and advisory engagements in Artificial Intelligence (AI), Digital Transformation, Intelligent Systems, Technology Strategy, Innovation Management, Cybersecurity, Cloud Technologies, Enterprise Architecture, Responsible AI Governance, and Emerging Technologies. Interested in supporting organizations with technology assessment, AI adoption strategies, digital innovation initiatives, research and development programs, risk management, and the design of responsible, human-centered technology solutions that deliver measurable business and societal value.
Industry, Institute, or Organisation Collaboration
Actively interested in collaborating with industry, academic institutions, research organizations, professional societies, and government agencies on interdisciplinary research, innovation, technology transfer, AI governance, digital transformation, intelligent systems, cybersecurity, sustainability, and emerging technology initiatives. Open to joint research projects, grant proposals, peer-review activities, conference organization, academic-industry partnerships, mentoring, and knowledge-sharing programs that promote responsible and impactful technological innovation.
INDUSTRY EXPERIENCE
Technology professional with extensive experience in enterprise IT, digital transformation, cloud technologies, intelligent automation, cybersecurity, data-driven solutions, and AI-enabled innovation. Experienced in leading and supporting large-scale technology initiatives, process optimization, system integration, governance, and business transformation programs across global organizations. Strong interest in applying Human-Centered AI, Intelligent Systems, and Responsible Innovation principles to address real-world business and societal challenges. Actively engaged in bridging industry practice with academic research through innovation, collaboration, and knowledge-sharing initiatives.
SOCIAL, ECONOMIC, or ACADEMIC BENEFITS
Contributes to the advancement of responsible and human-centered technology solutions that enhance organizational efficiency, support informed decision-making, and promote sustainable innovation. Research and professional activities aim to generate academic knowledge, foster industry–academia collaboration, and accelerate the adoption of trustworthy AI and intelligent systems. Expected benefits include improved productivity, digital inclusion, ethical technology governance, workforce empowerment, innovation-driven economic growth, and the development of practical solutions to address complex societal and organizational challenges.
