Nikesh Lagun (born October 24, 2005) is an independent cognitive systems researcher from Nepal. He is the originator of Cognitive Drive Architecture (CDA), a structural field that models the ignition and regulation of cognitive effort based on internal system configuration rather than external motivational cues. CDA was developed to address limitations in existing cognitive control theories, such as Executive Function models and motivational frameworks, by proposing a real-time systems-based approach to task initiation and performance volatility. Lagun’s research focuses on the first-principles modeling of drive dynamics, attention stability, and latent task interference. His approach emphasizes structural causality over descriptive traits, positioning cognition as a configuration-sensitive system. His early work includes a statistical analysis of school dropout rates in rural Nepal and a review on the effects of mechanical brain injuries on regional brain function, reflecting an interdisciplinary interest in educational and neurological systems. In addition to his academic research, Lagun shares applied insights on focus, time regulation, and cognitive optimization through a weekly newsletter aimed at students and early-career professionals. His musical work, consisting of original acoustic compositions, is distributed through streaming platforms and is treated as a personal avenue of creative exploration rather than a professional pursuit. Lagun’s ongoing research aims to extend Cognitive Drive Architecture toward empirical validation through behavioral modeling and system simulation, with particular focus on cognitive saturation, ignition failure, and attentional collapse in multi-task environments.