About
I'm independent researcher from India working on physics-inspired artificial intelligence systems, wave-based computation, adaptive dynamical systems, and autonomous reasoning architectures. His research focuses on exploring alternative computational frameworks beyond conventional neural-network-based learning, including wave dynamics, self-organizing systems, and physically grounded AI models. Current work includes the development of Wave-Dynamical Decision Systems (WDDS), adaptive reasoning engines, and autonomous scientific AI frameworks.
Employment
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Sanjivan International researcher2025 - 2037
Education
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Sandip Foundation Btech cyber security and forensics2020 - 2024
Projects & Funding
Projects & funding information is unavailable.
Publications (10)
- Gradient Descent Through Quantum Wave Dynamics: WDDS-v3 and WDDS-v3.1 for Physics-Native Reinforcement Learning Save
- A Survival-Scaling Interpretation of Negative Effective Dimension in Pre-Observable Field Configurations: Theory and Numerical Validation Save
- A Visible-Survival Residual Framework for Blind PMNS-Based Searches of Hidden Neutrino Mass-Origin Signatures Save
- The Smooth Actualized Total Reality Equation: A Record-Strength Framework for Quantum Measurement Actualization Save
- Wave-Dynamical Decision Systems: A Physics-Inspired Adaptive Framework for Sequential Decision-Making : Exploring Wave-Based Adaptive Computation Beyond Conventional Neural Networks Save
- An Operational Scaling Framework for Negative Effective Survival Dimensions Save
- Coherence-Driven Memory Consolidation in Wave-Based Neural Fields Enables Robust Performance Under Adversarial Conditions Save
- Coupling-Leverage Ratio as a Design Criterion for Hamiltonian-native Encoding in Open Quantum Systems Save
- Momentum-Stabilized Wave-Dynamical Decision Systems for Gradient-Free Sequential Learning Save
- Wave4D: A Schrödinger-Equation Cognitive Architecture with Time-Reversed Unitary Credit Assignment Save