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.
How CMOS Sensors and AI Are Making Fermentation Smarter
In recent years, social media users have found themselves amid many sourdough accounts and kombucha channels, all heavily focused on fermentation. But what many don’t realize is that fermentation isn’t limited to cooking. In the world of science, fermentation technology is widely used to produce medicines, fuels, foods, and specialty chemicals. Professor Rabia Yazicigil Kirby, […]
Professor Christos Cassandras Wins 2026 IEEE Intelligent Transportation Systems Society Outstanding Research Award
Imagine a world where morning traffic completely disappears, intersection lights are obsolete, and your car pays you a small digital incentive for letting someone merge. It sounds impossible, but CISE Faculty Affiliate and Head of the Division of Systems Engineering Professor Christos Cassandras (ECE, SE) is building that reality, and the engineering community is taking […]
Beyond Overload: Rethinking Reliability in Cloud Systems
Imagine you are at a restaurant, and you see that there are only 10 tables available, but there’s a line of almost 50 people out the door. You later learn that the restaurant has only 20 cups and 20 bowls and cannot efficiently serve all the guests, no matter how well it manages its seating […]
Vassilis Digalakis Jr. joins CISE as he tackles AI’s biggest flaws
In today’s rapidly changing artificial intelligence landscape, Assistant Professor Vassilis Digalakis Jr. (Questrom (OTM)) is building a different kind of future. Digalakis, who joined CISE as a Faculty Affiliate in February 2026, isn’t just interested in making AI faster or more powerful. For him, the real challenge is making it human-like. He views AI as […]
Making the Cloud More Reliable: How LLMs Can Improve Latency and Reliability
When a car is booked in a rideshare app, a seemingly simple request triggers thousands of messages sent across a distributed system that must be executed with near-perfect reliability. Distributed systems are the invisible engine of today’s economy. Its full integration into our daily routines makes its reliability essential. But what can we do when […]
Opening the Right Doors: Konstantinos Spiliopoulos on the Future of Scientific AI
Cruising at 30,000 feet, the plane suddenly jolts. The “Fasten Seatbelt” sign dings, and for a few seconds, the ride is bumpy. To a passenger, this is an annoying phenomenon, but to a scientist, it’s one of the unsolved problems of physics— turbulence. There are equations to describe the flow of air, but they can […]
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, […]