Example Project Directions

Design Memory Systems for Resource-Efficient AI

Investigate how smaller language models and intelligent agents can remember, organize, retrieve, consolidate, and forget information more effectively. The goal is to create memory architectures inspired by human cognition that reduce dependence on extremely long context windows.

What You May Work On

You may design episodic and semantic memory modules, retrieval pipelines, memory-ranking algorithms, consolidation mechanisms, intelligent caching strategies, or evaluation benchmarks for long-term agent memory.

Ideal Background

Decode Memory and Perception from Brain Signals

Explore whether neural signals can reveal how people encode, recall, distort, or recognize memories. This direction combines brain–computer interfaces with advanced machine learning to study the relationship between memory processes and measurable brain activity.

What You May Work On

You may preprocess EEG recordings, develop neural decoding models, compare deep-learning architectures, study memory-related biomarkers, or design experiments involving recognition, recall, and confidence.

Ideal Background

Discover Multimodal Biomarkers of Mental Wellbeing

Develop artificial intelligence methods that combine physiological, behavioral, and contextual information to identify patterns associated with stress, emotional wellbeing, cognitive fatigue, and mental-health risk.

What You May Work On

You may fuse EEG, eye-tracking, electrodermal activity, heart-related signals, speech, facial behavior, or interaction data and evaluate interpretable biomarkers across individuals and conditions.

Ideal Background

Build Personalized Affective Digital Twins

Create evolving computational models that represent an individual’s emotional and physiological characteristics over time. These digital twins may support personalized monitoring, prediction, intervention, and clinical decision support.

What You May Work On

You may develop personalization algorithms, longitudinal models, federated-learning systems, privacy-preserving analytics, individual baselines, or adaptive prediction models that learn from distributed health data.

Ideal Background

Study Cognitive Maps in Immersive Environments

Investigate how people form mental representations of physical, abstract, or social spaces. Immersive environments make it possible to manipulate complex scenarios while measuring navigation, attention, memory, decision-making, and physiological responses.

What You May Work On

You may build VR experiments, create navigation tasks, analyze gaze trajectories, model spatial behavior, study cognitive decline, or develop new markers of orientation and environmental understanding.

Ideal Background

Develop Digital Twins for Early Cognitive Change Detection

Explore whether personalized computational models can identify subtle changes in memory, attention, movement, language, or physiological responses before they become visible through conventional assessment.

What You May Work On

You may develop longitudinal anomaly-detection methods, personalized baselines, multimodal screening tasks, interpretable risk indicators, or immersive assessments for tracking cognitive change.

Ideal Background

Create Neuroadaptive Experiences in Virtual Commerce

Study how attention, emotion, trust, and decision-making shape user behavior in immersive shopping and spatial-computing environments. The goal is to design adaptive experiences without compromising autonomy, fairness, or privacy.

What You May Work On

You may build immersive retail prototypes, analyze gaze and physiological responses, model user preferences, test adaptive interfaces, or study ethical boundaries in AI-driven personalization.

Ideal Background

Design AI Systems That Communicate with Empathy

Develop generative systems that adapt language, visual content, feedback, and interaction style according to human emotional and cognitive responses. This direction asks how AI can become more sensitive to the person behind the interaction.

What You May Work On

You may develop emotion-aware agents, adaptive dialogue systems, generative interfaces, affective reward models, closed-loop evaluation methods, or experiments that measure perceived empathy and trust.

Ideal Background

Measure Motivation, Stress, and Effort in Immersive Tasks

Investigate how motivation, perceived effort, stress, reward, and fatigue influence human decisions and performance. Immersive environments allow these factors to be studied in realistic but controlled scenarios.

What You May Work On

You may design VR tasks, collect physiological signals, model effort and stress, analyze behavioral choices, or create adaptive systems that adjust difficulty and feedback according to the participant.

Ideal Background

Design and Run Human Studies

Develop research questions, experimental protocols, immersive tasks, questionnaires, data-collection procedures, and ethical study documentation.

Build Intelligent Models

Process multimodal data, train machine-learning models, evaluate generalization, interpret predictions, and compare modern AI architectures.

Create Research Prototypes

Develop VR environments, data pipelines, dashboards, AI agents, experimental tools, digital-twin platforms, and interactive applications.

Understand Human Physiology

Work with EEG, eye tracking, EDA, ECG, motion, speech, and behavioral signals to extract reliable indicators of cognitive and affective states.

Shape Meaningful Experiences

Study usability, trust, explainability, accessibility, ethics, and human experience to ensure technologies are valuable and responsible.

Turn Research into Impact

Contribute to literature reviews, scientific writing, open datasets, conference submissions, journal articles, demonstrations, and project proposals.