Data Science
BU Experts Develop AI Surveillance System to Enhance Pandemic Preparedness
Five years after COVID-19 shut down the world, Director of the BU Rafik B. Hariri Institute for Computing and Computational Science & Engineering and CISE faculty affiliate and professor Yannis Paschalidis (ECE, SE, BME, CDS) is studying how prepared we are for the next outbreak. Alongside Boston University infectious diseases expert Nahid Bhadelia, the two […]
CISE Hosts 11th Annual Graduate Student Workshop (CGSW 11.0)
Over 100 student and faculty attendees gathered on January 24th, 2025, for the 11th Annual Graduate Student Workshop hosted by the Center of Information and Systems Engineering (CISE). The day-long symposium featured doctoral students from different disciplines across Boston University’s College of Engineering presenting their original research. “CGSW aims to bring together CISE students, faculty, […]
CISE Students Win CSS TC 2024 Outstanding Student Paper Prize
The committee for the Outstanding Student Paper Prize 2024 announced this year’s prestigious award recipients. Among six national nominations, one paper written by two CISE students stood out for its innovative contributions to the field of smart cities. Ehsan Sabouni and H.M. Sabbir Ahmad and their collaborators are exemplars of academic excellence and collaborative spirit. […]
CISE Alumni Salomón Wollenstein- Betech featured in Bostonia article
Center for Information & Systems Engineering alumni Salomón Wollenstein-Betech (SE) was featured in Bostonia article highlighting potential measures for reducing traffic in Boston. Advised by CISE Faculty Affiliate Christos Cassandras (ECE, SE), Wollenstein-Betech studied transportation infrastructure and traffic patterns. In Bostonia, he engaged in a Q&A regarding congestion pricing, commuting, and public transportation. Wollenstein-Betech discussed […]
AF: Small: Collaborative Research: New Representations for Learning Algorithms and Secure Computation
Recent success of machine learning is due in part to the availability of large datasets for training and testing purposes. However, the training process is computationally intensive and collected datasets are often privacy sensitive. This has led to providing Machine Learning as a Service (MLaaS), where data providers store their data in the cloud and […]