Dr Kamran Qadir Abbasi
- Lecturer,
- kamranqadir@numl.edu.pk
Ph.D. Mathematics (2024)
National University of Sciences and Technology (NUST), Islamabad
Thesis Title: Scattering of Gravitational Waves and Their Energy
M.Phil. Mathematics (2016)
National University of Sciences and Technology (NUST), Islamabad
Thesis Title: Colliding Impulsive Plane Gravitational Waves
M.Sc. Mathematics (2012)
Quaid-i-Azam University, Islamabad
- Lecturer (Permanent), 2023 - Present
Department of Mathematics, National University of Modern Languages (NUML), Islamabad - Lecturer (Contract), 2019 - 2022
Department of Mathematics, National University of Modern Languages (NUML), Islamabad - Visiting Lecturer, 2018 - 2019
College of Electrical and Mechanical Engineering (CEME),
National University of Sciences and Technology (NUST), Islamabad
Research Summary
Research centers on the theoretical and mathematical aspects of general relativity, gravitational-wave physics, and black hole theory, with emphasis on nonlinear dynamics of spacetime and energy distribution in curved geometries. Contributions include the scattering and interaction of gravitational waves, analysis of colliding plane wave solutions, and investigations of the energy problem in exact and approximate spacetimes.
Current work extends to black hole accretion and back-reaction, stability of geodesics, and energy extraction processes (e.g., the Penrose mechanism) in asymptotically flat, AdS, and modified gravity settings. Research also engages with quantum gravity connections—including string-inspired models and double field theory—and employs computational approaches such as Physics-Informed Neural Networks (PINNs) for solving Einstein’s equations in complex gravitational-wave spacetimes.
.Areas of Interest
- General Relativity and Gravitation
- Gravitational Waves and their Sources
- Colliding Plane Gravitational Waves
- Black Hole Physics (accretion, stability, thermodynamics)
- Modified and Alternative Theories of Gravity
- Energy and Momentum in Curved Spacetimes
- Computational and Machine Learning Methods in Relativity
Education
Ph.D. Mathematics (2024)
National University of Sciences and Technology (NUST), Islamabad
Thesis Title: Scattering of Gravitational Waves and Their Energy
M.Phil. Mathematics (2016)
National University of Sciences and Technology (NUST), Islamabad
Thesis Title: Colliding Impulsive Plane Gravitational Waves
M.Sc. Mathematics (2012)
Quaid-i-Azam University, Islamabad
Experience
- Lecturer (Permanent), 2023 - Present
Department of Mathematics, National University of Modern Languages (NUML), Islamabad - Lecturer (Contract), 2019 - 2022
Department of Mathematics, National University of Modern Languages (NUML), Islamabad - Visiting Lecturer, 2018 - 2019
College of Electrical and Mechanical Engineering (CEME),
National University of Sciences and Technology (NUST), Islamabad
Publication(s)
Area Of Interest
Research Summary
Research centers on the theoretical and mathematical aspects of general relativity, gravitational-wave physics, and black hole theory, with emphasis on nonlinear dynamics of spacetime and energy distribution in curved geometries. Contributions include the scattering and interaction of gravitational waves, analysis of colliding plane wave solutions, and investigations of the energy problem in exact and approximate spacetimes.
Current work extends to black hole accretion and back-reaction, stability of geodesics, and energy extraction processes (e.g., the Penrose mechanism) in asymptotically flat, AdS, and modified gravity settings. Research also engages with quantum gravity connections—including string-inspired models and double field theory—and employs computational approaches such as Physics-Informed Neural Networks (PINNs) for solving Einstein’s equations in complex gravitational-wave spacetimes.
.Areas of Interest
- General Relativity and Gravitation
- Gravitational Waves and their Sources
- Colliding Plane Gravitational Waves
- Black Hole Physics (accretion, stability, thermodynamics)
- Modified and Alternative Theories of Gravity
- Energy and Momentum in Curved Spacetimes
- Computational and Machine Learning Methods in Relativity
