Kiana Ceasar


Professional Summary
Kiana Ceasar is an innovative urban climate engineer specializing in wind tunnel effect simulation and optimization for 3D vertical cities. Combining computational fluid dynamics (CFD), AI-driven urban planning, and sustainable design principles, Kiana develops solutions to mitigate hazardous wind conditions in high-density urban environments. Her work ensures that skyscrapers, skybridges, and elevated green spaces coexist harmoniously with natural airflow patterns—enhancing pedestrian comfort, reducing energy consumption, and preventing structural wind loads.
Core Innovations & Technical Leadership
1. AI-Augmented Wind Simulation
Develops multi-scale CFD models that:
Predict microclimate turbulence at street level with 1-meter resolution
Optimize building aerodynamics using generative design algorithms
Simulate extreme weather scenarios (typhoons, dust storms) for resilient cities
2. Vertical City Wind Mitigation
Designs architectural interventions to:
Dissipate vortex shedding around supertall towers
Calm wind acceleration through porous skybridge networks
Redirect airflow to enhance natural ventilation in urban canyons
3. Policy-Driven Urban Climate Tools
Creates digital twin platforms for:
Real-time wind hazard monitoring via IoT sensor grids
Automated compliance checking against LEED Wind Comfort Criteria
Climate-responsive zoning recommendations for municipalities
Career Milestones
Reduced pedestrian-level wind speeds by 52% in Dubai’s Vertical Downtown project
Pioneered the "Windprint" certification now adopted by 8 global cities for high-rise approvals
Developed the open-source UrbanCFD.ai toolkit used by 10,000+ planners




TheresearchrequiresGPT-4fine-tuningduetothecomplexityandspecificityofurban
windsimulationdata.GPT-4’sadvancedcapabilities,includingitslargerparameter
setandenhancedcontextualunderstanding,areessentialforanalyzingintricatewind
patternsandoptimizingbuildingdesigns.PubliclyavailableGPT-3.5fine-tuninglacks
theprecisionanddepthneededtohandlethenuancedanddynamicnatureofwindtunnel
effectsinverticalcities.Fine-tuningGPT-4ensuresthemodelcanadapttodiverse
urbangeometries,processlargedatasets,andgenerateactionableinsights,makingit
indispensableforthisstudy.
Aspartofthesubmission,IrecommendreviewingmypastworkonAIapplicationsin
urbanplanning,particularlymypapertitled“AI-DrivenUrbanSimulation:ACaseStudy
ofWindFlowOptimizationinHigh-RiseBuildings”.ThisstudyexploredtheuseofAI
tomodelandoptimizewindpatternsinurbanenvironments,focusingonimproving
pedestriancomfortandbuildingsafety.Additionally,myresearchon“Ethical
ImplicationsofAIinSmartCityDevelopment”providesafoundationforunderstanding
thesocietalimpactofAI-drivensolutionsinurbaninnovation.Theseworksdemonstrate
myexpertiseinapplyingAItocomplexurbanchallengesandhighlightmyabilityto
conductrigorous,interdisciplinaryresearch.