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.
BU Researchers Showcase the Future of Systems Engineering at CGSW 12.0
Center for Information and Systems Engineering (CISE) student researchers at Boston University took center stage to demonstrate how they are solving the world’s most complex problems, sharing ideas from cutting-edge soft robotics. On Friday, January 30th, 2026, CISE hosted its 12th annual Graduate Student Workshop (CGSW 12.0). The event provided a dynamic platform for students […]
CISE Director Ayse Coskun Featured in BU Brink Q&A on Revamping US Semiconductor Production
The global competition for dominance in the semiconductor industry is a top national priority. In a compelling Q&A with The Brink, CISE Director Ayse Coskun (ECE, SE) discusses the goals of the bipartisan CHIPS and Science Act and how Boston University is uniquely positioned to help reclaim the country’s lead in chip technology. Professor Coskun […]
Collaborative Research: ASCENT: Heterogeneously Integrated Electronic Photonic AI Accelerators (HIEPAA)
Nontechnical Description The rapid advancement of deep neural networks (DNNs) and large language models (LLMs) is transforming many facets of modern society. These AI models are trained and deployed in data centers powered by specialized hardware such as graphics processing units (GPUs), resulting in significant energy demands and raising critical concerns around sustainability and energy […]
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 […]
Zijian Guo, CISE PhD Candidate, Earns Fellowship, Best Paper Award, for Research in Safer, Smarter AI
As artificial intelligence continues to shape everything from autonomous cars to home robotics, one Boston University PhD candidate is working to ensure that these systems not only function but also work safely. Zijian Guo, a second-year PhD candidate in Systems Engineering advised by Associate Professor Wenchao Li (ECE, SE, CS), was recently named a Hariri […]
Director Ayse Coskun Featured in BU Brink for her Research on Power Grids
CISE Director and Professor Ayse Coskun (ECE, SE) was featured in the BU Brink for her research on the relationship between electric grids and data centers. The article, “Is AI Slowing Climate Progress? It’s Complicated,” highlights the growing energy demand created by data centers, as well as AI’s potential to work with power grid through a […]
CAREER: Advancing AI for Accessibility with User Feedback
Artificial Intelligence (AI) and accessible computing have tremendous potential to improve the quality of life for users. Despite significant advancements in AI, the needs and preferences of people who have low vision (e.g., older adults and those who are blind and visually impaired) are not appropriately considered. A multimodal AI model may misinterpret critical directional […]
Transforming Data Centers into Grid-Responsive Powerhouses
As AI continues its explosive growth, so does its energy demand, pushing the U.S. electric grid toward its limits. With the rise of increasingly complex AI models and cloud-based applications, data centers are becoming power-hungry giants. Projected to use up to 9% of U.S. power by 2030, data centers increasingly strain the grid, threatening the […]
Green AI Summit: Rethinking AI for a Sustainable Future
A collection of visionaries, scholars, and innovators came together at Harvard University and Boston University on April 25 and 26 for the Green AI Summit, focusing on the evolving relationship between artificial intelligence and environmental responsibility. The summit was organized by the Green AI Institute and Harvard Undergraduate AI and Sustainability Group, with support from […]