Anwar Bataihah
Papers
1
Total Citations
38
H-Index
1
About
Anwar Bataihah is a rising researcher in the field of nonlinear dynamics and memristive systems, with a particular focus on discrete-time modeling and complex oscillatory behavior. His most cited work, "A Multistable Discrete Memristor and Its Application to Discrete-Time FitzHugh–Nagumo Model" (2023, 38 citations), introduces a novel discrete memristor that faithfully preserves the characteristics of its continuous counterpart while enabling new computational efficiencies. By integrating this memristor into the FitzHugh–Nagumo neuron model, Bataihah demonstrates how multistability can emerge in discrete-time systems, offering fresh insights into neural dynamics and chaos theory. This contribution is significant for advancing the design of neuromorphic circuits and secure communication systems. Bataihah’s research bridges theoretical mathematics and practical engineering, making him a notable voice in the study of discrete memristors and their applications. His work has already garnered attention for its potential to simplify complex biological models into discrete, computationally tractable frameworks, positioning him as a promising scholar in the intersection of memristor technology and nonlinear science.
Research Focus
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Top Papers
- 1