SE Research | College of Engineering

Could a Computer Diagnose Alzheimer’s Disease and Dementia?

in *NEWS, *Research, Biomedical Engineering, BME Neural Engineering, BME Research, ECE Faculty, ECE Research, Electrical and Computer Engineering, Ioannis Paschalidis, SE Research, Systems Engineering

Researchers at Boston University have developed a new tool that could automate the process and, eventually, allow it to move online. Their machine learning–powered computational model can detect cognitive impairment from audio recordings of neuropsychological tests—no in-person appointment needed.

Tagged: Ioannis Paschalidis

Pregnancy Models Give Birth To New Health Insights

in *NEWS, *Research, ECE Faculty, Electrical and Computer Engineering, SE Research, Systems Engineering

Having a baby is a life-changing decision that often requires a great deal of time and energy to ensure a positive outcome. But the cost of assisted reproductive technologies like artificial insemination or in-vitro fertilization (IVF) and the emotional impacts of infertility can be a lot to bear. To try to improve the chances of […]

Cross-disciplinary research teams win Kilachand funding

in *NEWS, *Research, Biomedical Engineering, BME - Biomedical Imaging, BME - Molecular, Cellular, and Tissue Engineering, BME Computational Modeling and Data Science, BME Neural Engineering, BME Research, BME Systems and Synthetic Bioengineering, ECE Faculty, ECE Research, Electrical and Computer Engineering, Materials Science and Engineering, ME Research, Mechanical Engineering, MSE Research, SE Research, Systems Engineering

Five Studies Pushing the Limits of Science: This year’s Kilachand fund awards will support pioneering research across engineering and life sciences

Three Awarded Career Development Professorships

in *NEWS, *Research, Ashok Cutkosky, ECE Faculty, Electrical and Computer Engineering, Eshed Ohn-Bar, SE Research, Systems Engineering

Three assistant professors have earned professorships that recognize future leaders in their fields, Boston University Provost Jean Morrison has announced. Abdoulaye Ndao was named the next Reidy Family Career Development Professor, while Eshed Ohn-Bar and Ashok Cutkosky each garnered a Peter J. Levine Career Development Professorship. The Reidy and Levine professorships are two of the […]

Tagged: Abdoulaye Ndao, Ashok Cutkosky, Career Development Professorships, Eshed Ohn-Bar, Minda Reidy, Peter J. Levine, Richard Reidy

Balancing electricity demands and costs of high-performance computing

in *NEWS, *Research, Ayse Coskun, Biomedical Engineering, BME Research, ECE Faculty, ECE Graduate, ECE Students, Electrical and Computer Engineering, Ioannis Paschalidis, SE Research, Systems Engineering

Hariri asked Coskun and Daniel Wilson about HPC and sustainable computing programs.

5 Projects That Push the Limits of Physics, Fabrication Techniques, Algorithm Design

in *Research, ECE Research, Electrical and Computer Engineering, Materials Science and Engineering, ME Research, Mechanical Engineering, MSE Research, SE Research, Systems Engineering, Will Boley

Two engineering professors among the NSF CAREER award recipients: William Boley and Francesco Orabona. Each will receive funding to advance their areas of research for the next five years.

How to Create Safe, Energy-Efficient Buildings in a Post-Covid World

in *NEWS, *Research, ECE - Data Science and Intelligent Systems, ECE - Imaging and Optical Science, ECE Faculty, ECE Research, Electrical and Computer Engineering, Materials Science and Engineering, ME Research, Mechanical Engineering, MSE Research, SE Research, Systems Engineering

BU Innovators Address New Requirements of Commercial Real Estate by Maya Bhat & Maureen Stanton, CISE Staff Smart building technology has been a growing trend in the commercial real estate sector to help building owners and other stakeholders automate processes, reduce costs, boost energy efficiency, and improve the comfort of tenants. In a post-covid world, […]

Tagged: BU College of Engineering, BU Division of Systems Engineering, BU ECE, Janusz Konrad, Michael Gevelber, MSE, Prakash Ishwar, Thomas Little

Congratulations to the CISE Best Student Paper Award Winners

in *NEWS, *Research, ECE Graduate, ECE Students, Electrical and Computer Engineering, SE Research

The Center for Information of Systems and Engineering is delighted to announce the winners of the 2021 CISE Best Student Paper Award. The CISE Best Student Paper Award Competition is an annual event established to promote student research and to recognize the scientific quality and scope of research being conducted by CISE students. This year’s event […]

One Small Step For A Mouse: Using Information Science to Understand the Brain

in *NEWS, *Research, BME - Biomedical Imaging, BME - Molecular, Cellular, and Tissue Engineering, BME - Nanotechnology and Sensing, BME Biomechanics and Mechanobiology, BME Computational Modeling and Data Science, BME Neural Engineering, BME Systems and Synthetic Bioengineering, Bobak Nazer, ECE - Bio-ECE and Digital Health, ECE - Data Science and Intelligent Systems, ECE Faculty, Electrical and Computer Engineering, SE Research, Systems Engineering, Venkatesh Saligrama

by Allison Kleber How does learning a new skill or process change the physical structure of the brain? Using techniques from data science and high-dimensional statistics, Professors Bobak Nazer (ECE), Venkatesh Saligrama (ECE, SE), and Xue Han (BME), aim to find out. Their project, titled “Discovering Changes in Networks: Fundamental Limits, Efficient Algorithms, and Large-Scale […]

‘Happy and Proud,’ Declares Dissertation Award Recipient

in *NEWS, *Research, ECE Graduate, ECE Research, ECE Students, Electrical and Computer Engineering, SE Research, Systems Engineering

Alumnus Update: 2020 SE Dissertation Award Winner Ruidi Chen By Emily Sorkin As an applied scientist at Microsoft, alumnus Ruidi Chen (SE PhD ’19) has already established herself as a pioneer in a new area of research called Distributionally Robust Optimization (DRO). Her resume boasts 12 co-authored papers and her monograph on Distributionally Robust Learning was recently […]