Data Science
Unraveling the Hidden Biases of Artificial Intelligence
For years, Boston University computer scientist and CISE faculty affiliate Professor Mark Crovella (CDS, CS, ECE, SE) has studied the invisible forces shaping what we see online. The stakes are high: when YouTube’s recommendation system steers users toward more extreme videos, it can fuel polarization and misinformation. Now, with large language models generating instant answers, […]
Lei Tian Named Provost’s Scholar-Teacher of the Year for Innovative Teaching and Research
Boston University engineering professor Lei Tian, a faculty affiliate of the Center for Information and Systems Engineering (CISE), has been named the 2025 Provost’s Scholar-Teacher of the Year. The award, which includes a $5,000 stipend, honors faculty who excel both as researchers and as teachers. Tian, an associate professor of electrical and computer engineering, emphasizes […]
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, […]
CAREER: Physically-Aware Accelerator Design Flows for Motion Planning
A focus of modern computer engineering is designing customized computer processors (accelerators) in order to meet the timing and power needs of emerging applications, and one critical application space that can benefit from customized accelerators is autonomous systems, e.g., robots that can walk and grasp objects. Robots must complete heavy computational workloads fast enough to […]
Koopman in the Field: Feedback, Teaching, and Adaptation for Real World Mechanical Systems
Teaching autonomous machines to perform complex tasks currently requires advanced expertise in mechanical systems and specialized algorithms, making these technologies inaccessible to many. This limits who can use them, where they can be deployed, and how effectively they operate over time. Emerging technologies such as soft robots are inexpensive, easy to deploy, and hold great […]
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. […]
Collaborative Research: SaTC: CORE: Small: Research on Concurrent Inauthentic Account and Narrative Detection
Inauthentic accounts are commonly used by adversaries on online platforms to carry out fraudulent activities like false advertising, scams, and personal threats. These accounts appear to belong to real people, but actually portray fictitious personas and are controlled by miscreants through semi-automated means to deliver potentially harmful content. Promptly detecting inauthentic accounts and fraudulent content […]
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 […]