Murat
Yaşlıoğlu

Online Stage-1 behavioral and cognitive filter for pilot recruitment. Four-module battery: Situational Judgement Test (aviation-adjacent scenarios), Forced-Choice (MFC, 30 triads with social-desirability equalization), Dangerous-Attitudes Likert, and a Canvas-based cognitive overload battery (dual-task, tank resource management, 2-back, command-chain, spatial, numerical, MOT, NöROHARİTA). GitHub Actions CI auto-deploys only the cadet hosting site; item pool, scoring engine, behavior proctoring (no webcam, by design), atomic code-locking transactions, and separation of cadet_pool (public) and cadet_keys (admin-only) collections.

Production-grade psychometrics platform for pilot and broader personality/competency assessment, with Firebase-backed admin and candidate apps, MFC/SJT/Likert core, an admin-configurable composition with five v11 modules (Ranking, Adjective Pairs, Adjective Checklist, Point Allocation, Cognitive Reflection), validity checks, a cognitive-overload game, and a 34-block MFC generation pipeline. Eleven web iterations tracked (v1 → v11 beta), native macOS app build, multiple cognitive-game versions, weighted composite scoring with auto-rebalance, and SEED coverage of D1–D8 dimensions.

AI-driven Electronic Flight Bag 'Eco-Coach' that targets 1.5–3% fleet fuel/emission reduction purely through pilot-behavior optimization — no hardware changes, no SAF. Phase 1 ingests real OpenSky trajectories + physics-based synthetic FOQA fuel truth and trains a per-aircraft-type 'green baseline' (95.7% phase accuracy, 1.83% MAPE to physics optimum); Phase 2 ships a single-file offline HTML EFB app with 7 screens, Eco-Score gamification, contrail-aware CO₂e, and a dynamic step-climb optimizer. Phase 3 neuro-validation in simulator explicitly scoped out, infrastructure left ready.

Dual-track accreditation system combining a production digital platform with a comprehensive 4-document design framework for a new accreditation model that fills the gap between JCI and TÜSKA by evaluating the triple mission (clinical care + education + research) of university hospitals.

Technical specification of a stateful, personality-developing cognitive assistant designed to break the 'no-memory / no-personality / no-context' limits of traditional assistants. Three temporal layers (sub-500ms conversation pipeline, ~30-min heartbeat, weekly consolidation) coordinate 17 modules: pattern-based cognitive watcher, importance-aware retention with 4-bucket decay, knowledge-graph inference engine, multi-profile 17-trait personality with per-trait decay, dreaming-loop memory synthesis, attention gate with receptivity scoring, social trainer with humor calibration, metacognition with confidence recalibration, prospective memory with Turkish date parsing, surprise→curiosity bridge, topic clustering, mood journal, guidance feedback loop, episodic→semantic gist compression, weekly self-reflection, internal narrative synthesis, and active-learning weak-spot detection — all backed by atomic JSON IO.

A story-based assessment platform that evaluates personality traits and behavioral patterns through narrative-driven scenarios. Candidates navigate realistic situations and make decisions that reveal underlying personality dimensions, behavioral tendencies, and competency indicators. The system provides structured scoring, psychometric validity checks, and detailed reporting for research and applied assessment contexts.