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.
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 […]
CAREER: Parameter-free Optimization Algorithms for Machine Learning
Machine Learning (ML) has been described as the fuel of the next industrial revolution. Yet, current state-of-the-art ML algorithms still heavily rely on having a human in the loop in order to work properly. Indeed, the training process of a ML algorithm requires significant human intervention through twisting and tuning of the many knobs of […]
Accessible autonomous vehicle system wins semifinalist position in DOT competition
As the promise of self-driving cars inches closer to reality for the general public, how do we ensure this technology is accessible to people who are blind or visually impaired? That’s the question that ECE Assistant Professor Eshed Ohn-Bar and his team seek to answer with their OpenGuide project. The project has been selected as a semifinalist […]
Collaborative Research: A Workshop on Pre-emergence and the Predictions of Rare Events in Multiscale, Complex, Dynamical Systems
Although pandemics have threatened human civilization since ancient times, how to predict and prevent them remains one of the most pressing challenges, calling out for innovative insights and practices. Pandemics emerge through incidental ‘perfect storms’: molecular changes in pathogens, gradual trends in climate, subtle shifts in ecological interactions among potential hosts, and even individual behavioral […]