Abhilash specializes in forest remote sensing with an interdisciplinary background spanning Mediterranean, arid, tropical evergreen and mangrove forests. His research combines forest ecology and geospatial technology for studying and monitoring biomass, carbon dynamics, vegetation structure and biodiversity across diverse biomes. He uses satellite and airborne remote sensing with ecological modeling and machine learning to support forest inventory and conservation efforts, often centering on the intersections of carbon accounting, anthropogenic impact and sustainable forest management. He has previously served as a research associate at Ecoresolve Inc., where he led research teams working on mangroves and tropical forests. He was also affiliated with the Wildfire Analytics Lab at the University of Alberta and has held a position as a visiting scholar at Qatar University.

Yi Ting Tay is a PHD student in the Geographical Sciences Program at University of Maryland College Park. She graduated with Distinction from MSc Ecological Economics from the University of Leeds and holds a First-Class Honours BSc in Economics and International Economics from the University of Nottingham Malaysia. Her master’s thesis examined Malaysia’s transition toward a sustainable electricity sector by 2050, utilizing the Low Emission Analysis Platform (LEAP) modelling framework to evaluate the impact of renewable energy adoption, subsidy reforms and emerging technologies on emission reduction.

Yi Ting served as a Research Assistant with the World Bank Group, supporting the Macroeconomics, Trade and Investment team in Malaysia. Her work focuses on macroeconomics trends and trade policy in Malaysia.