Advancing Energy-Efficient High Entropy Alloy Synthesis Through Machine Learning and Multi-Scale Simulations
Bamidele Aroboto (PhD student, Mechanical Engineering, College of Engineering)
Research: Integrating data science, machine learning, and materials science to design next-generation energy materials with an emphasis on high-entropy alloys, leading to more sustainable manufacturing practices.
U.S. Capital Market Consequences of the Brussels Effect: Evidence from Sustainability Reporting
Tati Fontana (PhD candidate, Accounting, Questrom School of Business)
Research: Examining U.S. investor reaction to the extraterritorial European regulatory risk in the context of the sustainability transition.
Energy Efficient Monolithic 3D Transformer Accelerator
Mohammadamin Hajikhodaverdian (PhD student, Electrical & Computer Engineering, College of Engineering)
Research Goal: Using a novel hardware architecture to enhance the computational efficiency of energy-intensive, large-language AI models, making them more sustainable.
Analyzing the Role of Climate Emotions in Shaping Engagement Patterns on Reddit
Naa Korkoi Tackie (PhD student, Emerging Media Studies, College of Communication)
Research: Understanding the key emotions that characterize climate discussions and how these emotions reflect on the volume of engagement with Reddit posts and comments, in support of improved climate communication.
Assessing Urban Heat Island Intensity on Building Energy Demand, Grid Congestion, and Negative Health Outcomes
Melissa Martin (PhD student, Earth & Environment, College of Arts & Sciences)
Research: Rethinking building energy demand modeling to study the impact of heat islands on public health and investigate how cooling interventions could increase energy demand and cause power system congestion.
Saltmarsh Microplastics: Quantifying Accumulation and Inferring Depositional Pathways in the Great Marsh and Boston Harbor, MA
Sophia Tigges (PhD candidate, Earth & Environment, College of Arts & Sciences)
Research: Examining the resilience of coastal ecosystems to sequester harmful microplastics trapped in salt marsh soils as rising sea levels threaten these habitats.
Quantification and Spatiotemporal Modeling of VOCs from Satellite Measurements
Breanna van Loenen (MS student, Remote Sensing and Geospatial Science, College of Arts & Sciences)
Research: Investigating the public health impacts of the oil and gas industry using remote sensing data to monitor hazardous, hard-to-detect volatile organic compound (VOC) emissions from fossil fuel infrastructure.
Optimizing Electric Vehicle Charging Infrastructure on University Campuses: A Queueing-Theoretic Analysis of Capacity and Congestion
Yikai Zhang (PhD student, Business Administration, Questrom School of Business)
Research: Analyzing electric vehicle charging infrastructure data such as arrival rates, service times, and station capacity to quantify congestion patterns and utilization levels, helping to optimize network expansion.
