Dr. Yadav’s research bridges neuroscience, advanced signal processing, and systems engineering to develop adaptive, real-time brain-computer interfaces (BCIs). His work focuses on high-resolution EEG acquisition, cognitive state modelling, and closed-loop neurofeedback to design user-centric neurotechnological systems for cognitive workload assessment and human-computer interaction (HCI). He actively pursues interdisciplinary collaborations in neurotechnology, cognitive computing, and biomedical signal analysis, and is open to supervising Ph.D. scholars in EEG-based BCI, neurodynamics, and applied cognitive neuroscience. Guided by the philosophy of an open heart and a silent mind, Dr Yadav fosters a research culture rooted in scientific rigour, innovation, and purposeful inquiry—driven by a vision to translate science into meaningful impact.