Our Research Team

Meet the passionate researchers and engineers behind HydroSky's innovative hydrologic solutions. Our team brings together expertise across multiple disciplines to deliver cutting-edge flood and drought modeling capabilities.

Yang Hong, Ph.D.

Chair Professor at OU & Senior Faculty Consultant

An expert in hydrology modeling and remote sensing, and senior faculty consultant for this proposed project. Will provide scientific and technical supervision and advice on remote sensing, model simulation, and analysis.

Remote Sensing

Mengye Chen, Ph.D.

Project Lead & Expert Hydrologist

An expert hydrologist for over 8 years, focusing on CREST hydrological model development, developer of CREST-iMAP and CREST v4.2. Will lead overseeing the whole project, leading the HyDROS team with tasks in improving the hydrological model, and conducting streamflow model simulation.

CREST Development

Victor Maqque, Ph.D.

Environmental History Expert

An expert in the environmental history of Latin America. Will coordinate with local strategic partners from UNAP, ALT, and SENAMHI in Puno, Peru.

Latin America

Edmundo Moreno, Ph.D.

Environmental Specialist - UNAP

An expert on studies about the environmental challenges and preservation of Lake Titicaca in UNAP. Will lead collecting local observation data for the proposed work.

Lake Titicaca

Luis Montes de Oca

Director of ALT Puno Office

Will lead providing feedback and facilitating the system integration in Puno.

ALT Puno

Sixto Flores Sancho

Director of SENAMHI Puno Office

Will be providing guidance on integrating the proposed work into the local decision-making process.

SENAMHI

Songkun Yan

AI Engineer & Hydrologist

AI engineer and hydrologist, developer of AQUA AI. Will lead system implementation in this proposed work.

AQUAH AI

Bryan M. Carroll

HyDROS IT Engineer

Web service expert and UI developer. Will lead improving the UI according to the users' demands.

Web Services

Sebastian Ferraro, Ph.D.

Hydrological Engineer

Will lead hydrological modeling and data analysis.

Modeling