News in Brief

Dall’Anese Wins an NSF Grant

Headshot of Emiliano Dall'AneseProfessor Emiliano Dall’Anese won a $380k NSF grant for project entitled `` Online Optimization of Networked Systems Under Uncertain User Decisions and Responses''.  The project's focus is on the design of novel optimization methods required for complex infrastructures under these load conditions. His approach involves the development of algorithms and mathematical strategies which can adapt and account for real-time usage data, competing incentives from different service providers, and other factors, allowing for a responsive and nimble minute-by-minute management of resources to maintain smooth energy distribution. The resulting innovations will have potential applications in other, similarly complex systems, such as transportation networks.

Dall’Anese and Coskun Win an NSF Grant

Headshot of Emiliano Dall'AneseProfessor Emiliano Dall’Anese in collaboration with Professor Ayse Coskun won a $600k NSF award for project entitled ``FlexDC: Flexible Artificial Intelligence Data Centers for Optimized Computing.'' The project focuses on developing a framework to regulate data center power consumption within grid and carbon constraints, while simultaneously providing performance guarantees to users. They plan to achieve this through a combination of planning and runtime optimization policy design, developing a global cost metric, and a variety of methods to address workload properties and constraints (such as parallel applications, job preemption, and other necessary trade-offs).  The project will culminate in a prototype process for data centers to perform “flexible computing” as part of emerging smart grid programs.

Venkataraman Wins $3.2M NIH R01 Award

Headshot of Archana VenkataramanProfessor Archana Venkataraman won a $3.2M NIH R01 grant in collaboration with Professor Swathi Kiran in the Sargent College of Health & Rehabilitation Sciences entitled ``Machine Learning Methods for Predicting Post-Stroke Aphasia and Language Recovery''. This project aims to identify appropriate treatments and provide personalized course-of-recovery predictions for individuals with aphasia (impaired speech after a stroke). Its focus is on developing novel computational models to assist in better understanding the heterogeneous causes and contributing factors behind aphasia, as well as how the condition responds to varied clinical interventions and environmental influences across its diverse presentations and circumstances, using multimodal datasets which include neuroimaging and demographic data. 

Batmanghelich Wins NSF CAREER Award

Headshot of Kayhan Batmanghelich   Assistant Professor Kayhan Batmanghelich won an NSF CAREER Award for project entitled "Making Domain-Specific AI Models Steerable by Leveraging Foundational Models". It centers on the development of a new generation of Vision-Language Models (VLLMs), AI systems that combine image analysis with language-based reasoning. These models will be trained with improved “anatomical awareness” and used as “translators” between existing, specialized black-box AI models and clinician-users to diagnose and correct errors through a better understanding of their origins. He joined BU ECE in 2023. Read more on ECE News page

Batmanghelich Awarded $3.1M by NIH

  Our colleague, Assistant Professor Kayhan Batmanghelich, was awarded a $3.1 million competitive renewal R01 grant from the National Institutes of Health’s National Heart, Lung, and Blood Institute. He will lead transformative research on Chronic Obstructive Pulmonary Disease (COPD) with collaborators from Boston University College of Engineering, University of Pittsburgh School of Medicine and Brigham and Women’s Hospital. Read more on ECE News page.

Nawab Receives Teaching Excellence Award

 Professor Hamid Nawab has been honored with an inaugural Teaching Excellence in the Core Curriculum Award from the College of Engineering; the sixth teaching award he’s received in almost forty years at BU. This award has been largely a result of glowing comments from students in Computational Linear Algebra students that he recently taught. Read more on ECE News page.