Data Science, AI & Machine Learning
Data Science, artificial intelligence (AI) and machine learning involve making accurate predictions, data mining, machine learning, and more to guide business decisions. Research areas include: bio inspired control using data from animals, computational biology, computational imaging, cyber security, medical informatics, simulation, and video analytics.
Stealth Driverless Cars without Visible Light?
CISE Faculty Affiliate Professor Vivek Goyal (ECE) recently received a Defense Advanced Research Projects Agency (DARPA) subaward for his work in connection with the agency’s Invisible Headlights program. Professor Goyal is working under an award to MIT entitled, Super Headlights: Superconducting Nanowire Detectors for Passive Infrared Sensing. The DARPA Invisible Headlights program has a very […]
Professor Coskun and Team Will Collaborate with Sandia Labs on Applying AI to HPC
Professors Ayse Coskun, Manuel Egele, and Brian Kulis in ECE have received a $500K grant from Sandia National Labs for their project “Al-based Scalable Analytics for Improving Performance, Resilience, and Security of HPC Systems”. HPC refers to High Performance Computing. This is the practice of collecting computing power so that a large system delivers high […]
Cars that learn how to drive themselves by watching other cars
Self-driving cars are powered by machine learning algorithms that require vast amounts of driving data in order to function safely. But if self-driving cars could learn to drive in the same way that babies learn to walk—by watching and mimicking others around them—they would require far less compiled driving data. That idea is pushing Boston […]
Understanding Social Dynamics Through Coevolving Latent Space Networks With Attractors
This research project will develop a general class of coevolving network models. In social systems, interactions frequently influence individual behavior and beliefs which can, in turn, impact interactions. Specific variants of this type of coevolutionary phenomenon include opinion dynamics, voter behavior, observational learning, herding or flocking, and polarization. Network-based models are natural for representing such […]
Creating Safe, Energy-Efficient Buildings in a Post-Covid World
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, its adoption is expected to increase as safety amenities top the list of concerns of tenants planning […]
Paschalidis Shares Health Data Findings in DeLisi Lecture
CISE Director Professor Yannis Paschalidis (ECE, SE, BME, CDS) discussed data-driven reasoning—which he calls “the backbone of engineering systems”—and predictive health analytics as he delivered the Charles DeLisi Distinguished Lecture May 6 to an online audience of about 100 members of the Boston University community. The DeLisi Award and Lecture honors a senior faculty member […]
Synthetic gene sensors and effectors to redirect organoid development
Human induced pluripotent stem cell (hiPSC)-derived organoids hold great promise for tissue engineering and personalized drug screening, but obtaining the desired multicellular organization and function from these systems is usually performed in an ad hoc fashion without forward design specification. Recently, we reported successful liver bud formation containing stromal cells, vascular tube-like structures and hematopoiesis-like […]
Ali Siahkamari Ties for First Place in the 2021 CISE Best Student Paper Award
Ali Siahkamari, Boston University PhD candidate (ECE), tied for first place in the 2021 CISE Best Student Paper Award Competition. His winning paper, entitled “Piecewise Linear Regression via a Difference of Convex Functions,” was published in Proceedings of the 37th International Conference on Machine Learning. This paper was co-authored with his advisor, CISE Faculty Affiliate, Associate Professor Brian […]
Francesco Orabona Wins NSF CAREER Award
CISE Faculty Affiliate, Assistant Professor Francesco Orabona (ECE, SE, CS) recently received a prestigious Faculty Early Career Development Program (CAREER) award from the National Science Foundation (NSF) for his work on new, more automated, machine learning algorithms. Machine learning has begun to take over our digital lives. It can be found in automatic text suggestions […]
Machine, Meet Stem Cells
Model organs grown from patients’ own cells may one day revolutionize how diseases are treated. A person’s cells, coaxed into heart, lung, liver, or kidney in the lab, could be used to better understand their disease or test whether drugs are likely to help them. But this future relies on scientists’ ability to form complex […]