Dr. Resham Raj Shivwanshi

Dr. Resham Raj Shivwanshi

AI-Tech Developer | Computer Vision & Quantum Computing Researcher | Innovation Leader

Leading research in artificial intelligence, quantum computing, computer vision, and advanced medical image analysis technologies, with a strong dedication to pushing the boundaries of computational science and developing solutions that transform industries and improve lives through cutting-edge innovation.

Latest Updates

Quantum Consciousness
Linkedin Article

Tuning into the Quantum Symphony: Consciousness, Machines, and the Cosmos

Exploring the profound intersection of quantum mechanics, consciousness, and artificial intelligence. Delving into how quantum principles may hold the key to understanding consciousness and building truly intelligent machines that mirror the cosmic order.

August 3, 2025

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Consciousness Reality
Research Article

Consciousness as the Architect of Reality

Investigating the fundamental role of consciousness in shaping our perceived reality. Examining how consciousness may not just observe reality but actively participate in its construction at the quantum level.

August 2025

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Quantum AI Health
Innovation

Quantum AI: Tackling Mental Health Challenges for a Healthier Society

Introducing groundbreaking approaches that combine quantum computing and artificial intelligence to address mental health challenges. A new paradigm for creating happier, healthier societies through advanced computational methods.

November 2024

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Publications

Quantum-enhanced hybrid feature engineering in thoracic CT image analysis for state-of-the-art nodule classification: an advanced lung cancer assessment

Biomedical Physics & Engineering Express | 2024 | Impact Factor: 1.6

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Hyperparameter optimization and development of an advanced CNN-based technique for lung nodule assessment

Physics in Medicine & Biology | 2023 | Impact Factor: 3.4

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A hybrid AI method for lung cancer classification using explainable AI techniques

Physica Medica (European Journal of Medical Physics) | 2025 | Impact Factor: 2.7

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Role of artificial intelligence in industries for advanced applications

Advanced Signal Processing for Industry 4.0, Volume 1 | 2025 |

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Professional Experience

Principal Project Associate

Indian Institute of Technology, Bhilai
December 2024 – March 2025

Leading advanced research projects in artificial intelligence and biomedical engineering applications.

Research Analyst (Remote)

Turing, California, US
October 2024 – April 2025

Conducting cutting-edge research in AI and machine learning for various industry applications.

Founder & Director

NAIQ Health Tech Private Limited
September 2024 – Present

Leading innovative health technology solutions leveraging AI and biomedical engineering expertise.

Junior Research Fellow

NIT Raipur
2017 – 2019

Conducted foundational research in computer vision and artificial intelligence applications.

Projects & Other Experiences

Various Research Initiatives
Ongoing

Multiple research projects spanning AI, quantum computing, and medical imaging.

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Research Areas

🤖

Artificial Intelligence

meaningful technological progress depends not only on abundant data and computing power, but on intelligent algorithms that can transform complexity into insight. As artificial intelligence continues to evolve, it stands as the key enabler in prioritizing and solving humanity’s most critical challenges with speed, precision, and purpose.

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⚛️

Quantum Computing

The fusion of AGI and quantum computing is igniting a healthcare revolution—where diseases are predicted before they strike and treatments are tailored to each individual. This is not just the future of medicine; it’s a quantum leap toward smarter, faster, and truly personalized healthcare.

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AI, Humanity, and Sustainability: Shaping a Responsible Technological Future

The future of AI must balance innovation with ethics, sustainability, and human values, ensuring technology not only advances intelligence but also nurtures humanity, nature, and collective well-being.

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🔬

Medical Image Analysis and Disease Detection

Advancing medical image analysis techniques to enable accurate, robust, and explainable disease detection from complex biomedical imaging data. Through the integration of signal processing, computer vision, and AI-driven methodologies, my contributions aim to support early diagnosis and clinically meaningful decision-making in healthcare.

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🧠

Consciousness Studies

Understanding consciousness may require moving beyond knowledge-based intelligence toward unified, continuous, and self-evolving mathematical frameworks. Such an approach could redefine artificial consciousness, enabling machines to act not from past experience alone, but from deeper, universal principles governing reality itself.

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