A vertical view of research, teaching, and mentoring milestones.

Designing adaptive signal architecture for Gabb's K-12 language learning platform in XR environments. Research focus: struggle detection, spatial memory, attention and cognitive load detection, neuroadaptive interaction.

Led a comprehensive 3-day workshop on scientific programming with Python, covering NumPy, Pandas, Matplotlib, SciPy, and hands-on AI prototyping for 30+ students.

Co-authored a main conference paper at ACM CHI 2026, extending NeurodaptiXR thesis work with focus on physiological sensing and neural intention detection for improved XR interaction.

Designed multimodal BCI system for paralyzed patients to control IoT devices and robotic hand via EEG and eye-tracking. Won first place at TEKNOFEST 2025 innovation competition.

Graduate studies in Computational Neuroscience with focus on Machine Learning, XR, and Human-Computer Interaction. Grade: 1.6. Thesis: Neuroadaptive HCI – Neural Click Detection in Mixed Reality.

Designed and conducted user studies in Unity 3D environment. Developed deep learning classifiers for neural intention detection using eye-tracking and EEG signals to improve gaze-based XR interactions. Accepted to ACM CHI 2026.

Developed GAN-generated images for human-in-the-loop experiments. Integrated physiological data (ERP and eye-tracking) with perceptual metrics and ERP-compatible event logging.

Developed and validated multivariate amplitude-binned envelope techniques for temporal response functions (TRF) with EEG data. Demonstrated improved neural response prediction accuracy.

Modeled caffeine effects on gap-junction conductance in electrically coupled neurons using Hodgkin-Huxley equations. Published findings on effects on alertness and spike features.

Computational models and trajectory finding of mouse positions from cameras (Computer Vision)

Developed BCI system evaluating physiological signals for neuroprosthesis robot hand control and multimodal health monitoring prototype. Foundation for later NeuroScreen and neuroadaptive XR research.

Mentored startup teams on product ideation, UI/UX design, biomimicry, and MVP development. Taught full-stack development and guided teams through product development lifecycle.

Visiting student internship focused on neuroscience and technology research. Conducted laboratory work and participated in research projects at the university facilities.

Mentored learners and contributed to technology education. Supported science and innovation community building through mentoring and teaching activities.

Co-founded non-profit organization focused on science endorsement in Azerbaijan. Organized sessions, workshops, and built sustainable volunteer community with focus on STEM education.

Early interest and exploration in Brain-Computer Interfaces and neuroscience, laying the foundation for later research in computational neuroscience, neural signal processing, and neuroadaptive systems.