Short Introduction

Akshay Aravamudan is a doctoral student majoring in computer engineering at Florida Institute of Technology. His research areas of interest include machine learning, stochastic point processes for the study of information diffusion and influence characterization in social media, machine learning for hydrology and machine learning on the edge. Before joining FIT’s Center for Advanced Data Analytics & Systems (CADAS), he obtained his Masters of Science in computer engineering at Florida Institute of Technology. His masters thesis involved the study of information diffusion in social media via the use of multivariate survival processes. More information can obtained in his website.

Professional Service

• Reviewer for the following conferences: IEEE-SMC2021, AISTATS2021, AAMAS2021 and SBP-BRiMS2021.
• Reviewer for the following journals: IEEE Transactions on Cybernetics in 2021.
• Volunteer for the following conferences: ICML2021 and ICLR2021.