Theory & Algorithms
Most CISE research projects include elements of theoretical analysis and algorithm development. These projects study the capabilities and fundamental limitations of algorithms to better understand the computational tools utilized in various research fields. Researchers apply this knowledge to machine learning, data structures, optimization, computational biology, cryptography,geometric modeling, and other fields. Theory and algorithms anticipates the growing quantity and power of data and works to use algorithms to their full capacity. Research areas include: designing efficient data structure and algorithms, understanding the complexity of computational problems, and designing secure cryptographic systems.
Researchers Win $900k NSF Grant to Predict Heart Disease, Diabetes Using Machine Learning
Researchers from the Boston University College of Engineering and Boston Medical Center (BMC) will use a three-year, $900,000 grant from the National Science Foundation to develop and pilot a health informatics system to predict patients at risk of heart disease or diabetes, and enable early intervention and personalized treatment. “Our research vision is to deliver personalized healthcare, […]
New papers by CISE Faculty & Students Featured in Proceedings of the IEEE Special Issue on Smart Cities
Recent UN projections show explosive growth in the urban population, doubling worldwide by 2050. It is clear that cities are on the cusp of disruptive changes. From smart phones and wearable technologies to self-driving cars, navigation apps, and drones, new smart devices that connect people, places and things are being invented every day, radically changing […]
NeTS: Small: Strategic Management of Advance Reservations in Cloud and Network Services
Part 1. Advance reservation (AR) services form a pillar of the economy. For instance, they are widely deployed in the industries of transportation, lodging, and health care. They are also increasingly being adopted for the management of resources in communication networks and in cloud computing. For users they offer assurance that resources will be available […]
AMPS: Uncertainty Quantification for Stochastic Analysis of Electrical Power Networks
The reliable functioning of the electric power grid forms a critical part of a modern industrial country. The failure to maintain the reliability of the grid leads to significant societal, national security problems and environmental costs. With the ever-increasing use of intermittent power sources such as wind, solar, battery, along with new types of disruptions […]
CAREER: Algorithms and Fundamental Limitations for Sparse Control
The proposal is to study the design of feedback control strategies which stabilize and steer systems by affecting them in only a few variables. The motivation comes from applications which are either large-scale or geographically distributed and therefore cannot be feasibly affected in many places. A primary motivating application is the control of metabolic chemical […]
NSF, CISE Look to the Future of Smart Healthcare at Campus Workshop
By Sara Cody As the National Science Foundation looks to the future of science in smart and connected health, the agency partnered with the Center for Information and Systems Engineering to convene a gathering of principal investigators and other research leaders on the BU campus this month. The interdisciplinary researchers discussed their progress and identified […]
Achieving Consensus Among Autonomous Dynamic Agents using Control Laws that Maintain Performance as Network Size Increases
Recent advances in automation and robotics have created a pressing need for new “protocols,” that is, for algorithms or control laws that allow teams of multiple autonomous agents to cooperate and accomplish complex tasks. Unfortunately, many of the best protocols for multi-agent coordination problems suffer from scalability issues, that is, while they perform well when […]
A Point of Light
Vivek Goyal Creates Images from Single Photons When you take a photo on a cloudy day with your average digital camera, the sensor detects trillions of photons. Photons, the elementary particles of light, strike different parts of the sensor in different quantities to form an image, with the standard four-by-six-inch photo boasting 1,200-by-1,800 pixels. Anyone […]
Analysis and Prediction of Molecular Interactions
The research in our lab focuses on molecular recognition using computational methods and follow-up validation experiments. Our primary target areas are (1) protein-protein docking and (2) exploring binding properties of proteins by computational solvent mapping. Protein docking methods are needed because many important interactions occur in weak, transient complexes that are not amenable to direct […]
XPS: FULL: CCA: Collaborative Research: Automatically Scalable Computation
For over thirty years, each generation of computers has been faster than the one that preceded it. This exponential scaling transformed the way we communicate, navigate, purchase, and conduct science. More recently, this dramatic growth in single processor performance has stopped and has been replaced by new generations of computers with more processors on them; […]