Dr. Mushtaq Ahmad

Biography

My research lies at the intersection of relativistic astrophysics and modified gravity cosmology, with a focus on probing extreme gravitational phenomena through both analytical and computational frameworks. My work advances the understanding of compact objects—including neutron stars, gravastars, and wormholes—within the context of high-order curvature gravity theories, particularly f(G), f(G,T), and Einstein-Gauss-Bonnet gravity.
Key Contributions
• Gravastars in Modified Gravity: Pioneered the study of gravastars (hypothetical alternatives to black holes) in f(G,T) gravity, deriving their stable configurations and equation-of-state profiles. Demonstrated how non-singular solutions can mimic observational signatures of black holes while avoiding event horizons.
• Non-Exotic Wormhole Solutions: Resolved the exotic matter problem in wormhole physics by constructing asymptotically flat geometries in f(G) gravity, where throat stability is achieved without violating energy conditions—a critical step toward reconciling wormholes with quantum field theory.
• Noether Symmetry Cosmology: Developed a novel symmetry-based approach to solve field equations in modified gravity, enabling the reconstruction of cosmic expansion histories (e.g., dark energy eras) without ad-hoc assumptions about the cosmological constant.
• Compact Star Seismology: Derived exact solutions for the hydrostatic equilibrium of anisotropic compact stars in f(G,T) gravity, linking quasi-periodic oscillation (QPO) signals to magnetic field topology via GPU-accelerated magnetohydrodynamic simulations.
Future Directions
I am now integrating machine learning and data science into gravitational physics to tackle inverse problems in multi-messenger astronomy. Current projects include:
• Bayesian neural networks for constraining f(G) gravity parameters using LIGO-Virgo-KAGRA (LVK) gravitational wave catalogs.
• Topological data analysis (TDA) of primordial black hole clustering in next-generation CMB datasets (e.g., LiteBIRD, CMB-S4).
• Open-source tools for automated symmetry detection in modified gravity field equations.
My work bridges theoretical innovation with observational validation, aiming to decode the universe’s structure from compact object scales to cosmological horizons.