Department to welcome visiting professors from SBU-CS (Fall 2023)
AuthorComputer ScienceREG_DATE2023.05.01Hits465
Exchanges of students and faculty between SUNY-Korea and the “Home Campus” at Stony Brook re-affirm the very-close link between both institutions and offer opportunities for numerous enriching experiences, academic and non-academic, for all involved. Such exchanges have always been envisaged (and the department has had visiting faculty from the Home Campus), but, unfortunately, they became impossible during the COVID pandemic. So, the department is now especially pleased to announce that professors Aruna Balasubramanian and Niranjan Balasubramanian will be with us for the Fall-2023 and Spring-2024 semesters. They will teach several undergraduate and graduate courses and also collaborate on research with the local faculty.
(From left to right) Prof. Aruna Balasubramanian / Prof. Niranjan Balasubramanian
Prof. Aruna Balasubramanian received her PhD from the University of Massachusetts (Amherst) and has been with SBU since 2015. Her work incorporates elements of both networking and systems in the context of mobile devices. The goal of that work is to design mobile protocols/systems that radically improve performance. Current mobile system designs make assumptions that, while true for the wired environment, are not valid for the mobile environment. Instead, she wants to re-architect mobile systems to better support current and next-generation applications. Dr. Balasubramanian's recent projects include MobileHub (reduces energy consumption of always-on sensing applications by leveraging heterogenous hardware), WProf (a tool that identifies the bottlenecks during page load), and FindAll (makes mobile applications less reliant on the cloud by building a local search engine on phones, that lets users search locally).
Prof. Niranjan Balasubramanian received his PhD from the University of Massachusetts (Amherst) and has been with SBU since 2015. His research is motivated by the challenge of building systems that can extract, understand, and reason with information present in natural language texts. His research interests are in two broad areas: NLP and information retrieval. He has worked on different projects in areas like Question Answering at a 4th Grade Level, Event Schema Generation from news stories, Machine Learning for Information Retrieval, Energy-efficient Mobile Search, and Automatic Wikipedia Pages.