Anwar Shiekh

Anwar Shiekh is an Instructor of Physics at Colorado Mesa University (CMU), located in Grand Junction, CO. He holds dual citizenship (American and British) and has a strong academic background with two BSc degrees (Physics and Mechanical Engineering) from Imperial College London (1980, 1983), followed by a PhD in Theoretical Physics from the same institution in 1987 under advisor Chris Isham. His research focuses on theoretical physics, including quantum gravity, black hole dynamics, quantum field theory, and the intersection of quantum mechanics with general relativity. He has contributed to textbooks such as College Physics (Serway & Vuille) and Principles of Physical Optics, providing critical feedback for improvements.

Research Interests: His work addresses foundational challenges in theoretical physics, such as quantizing gravity, resolving paradoxes in black hole physics (e.g., event horizon evaporation), and exploring quantum computing error avoidance via the Zeno effect. He has also investigated impossibility proofs in physics, proposing solutions to issues like macroscopic wormhole limitations and gravitational radiation from accelerating charges.

Publications Trends: Shiekh’s articles span decades, emphasizing quantum gravity corrections, operator regularization techniques, and black hole thermodynamics. Recent works include studies on magnetic monopoles and accelerating charges in gravitational fields, while earlier contributions focused on path integrals, canonical transformations, and zeta-function regularization. His 1990s research included pioneering efforts to quantize orthodox gravity and derive quantum field theory formalisms.

Book Contributions: He actively collaborated on textbook revisions, notably College Physics (11th ed.) and Principles of Physical Optics (2nd ed.), where his insights addressed typographical errors and conceptual clarity. His expertise also extends to reviewing quantum gravitational corrections to Newtonian gravity and proposing experimental setups for quantum interference-based computing.