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.
Collaborative Research: CPS: Medium: An Online Learning Framework for Socially Emerging Mixed Mobility
Emerging mobility systems, e.g., connected and automated vehicles and shared mobility, provide the most intriguing opportunity for enabling users to better monitor transportation network conditions and make better decisions for improving safety and transportation efficiency. However, different levels of vehicle automation in the transportation network can significantly alter transportation efficiency metrics (travel times, energy, environmental […]
Miniature Computational Imaging System Advances Brain Imaging Technology
The ability to study and learn about the brain hinges on what technology is available. CISE faculty affiliate, Lei Tian (ECE, BME) is leading the development of a novel miniature computational imaging system to advance brain imaging technology. Tian (ECE, BME), was awarded a $2 million grant from the National Institutes of Health to advance […]
Collaborative Research: CNS Core: Medium: FROOT: Future-Proof, Trustworthy Telemetry on Heterogeneous Networks
With the growth of the Internet and its importance in supporting the US economy, business, health, education and other services, it is critical to ensure both high performance and high availability of the networks underlying it. Increasingly, such networks include a heterogeneous set of network switches and other devices which must be monitored and controlled […]
CNS Core: Small: Building Resilience into Blockchains
Blockchains and cryptocurrencies have emerged as disruptive technologies with profound financial and societal impact. This state of affairs makes it imperative to gain better understanding of the dynamics and resilience of the underlying peer-to-peer networks on which blockchains operate. To this end, this project researches novel measurement methodologies, statistical modeling, and design approaches for distributed […]
Stealth Driverless Cars without Visible Light?
CISE Faculty Affiliate Professor Vivek Goyal (ECE) recently received a Defense Advanced Research Projects Agency (DARPA) subaward for his work in connection with the agency’s Invisible Headlights program. Professor Goyal is working under an award to MIT entitled, Super Headlights: Superconducting Nanowire Detectors for Passive Infrared Sensing. The DARPA Invisible Headlights program has a very […]
Cars that learn how to drive themselves by watching other cars
Self-driving cars are powered by machine learning algorithms that require vast amounts of driving data in order to function safely. But if self-driving cars could learn to drive in the same way that babies learn to walk—by watching and mimicking others around them—they would require far less compiled driving data. That idea is pushing Boston […]
Multiscale Effects and Tail Events for Infinite-Dimensional Processes and Interacting Particle Systems
Probabilistic models are commonly used to represent physical, biological, and financial phenomena that are often too complex to solve, approximate or even simulate on computers. One of the challenges facing applied mathematics and probability is to obtain accurate and provably efficient methods to approximate and simulate a range of complex systems using probabilistic models. The […]
Creating Safe, Energy-Efficient Buildings in a Post-Covid World
Smart building technology has been a growing trend in the commercial real estate sector to help building owners and other stakeholders automate processes, reduce costs, boost energy efficiency, and improve the comfort of tenants. In a post-covid world, its adoption is expected to increase as safety amenities top the list of concerns of tenants planning […]
Ali Siahkamari Ties for First Place in the 2021 CISE Best Student Paper Award
Ali Siahkamari, Boston University PhD candidate (ECE), tied for first place in the 2021 CISE Best Student Paper Award Competition. His winning paper, entitled “Piecewise Linear Regression via a Difference of Convex Functions,” was published in Proceedings of the 37th International Conference on Machine Learning. This paper was co-authored with his advisor, CISE Faculty Affiliate, Associate Professor Brian […]
Goyal Achieves Record-Breaking Distances for Non Line of Sight Imaging, Featured in PNAS
Vivek Goyal, a CISE research affiliate and professor from the College of Engineering (ECE), worked as part of a team led by Professor Feihu Xu of the University of Science and Technology of China to demonstrate non-line-of-sight (NLOS) imaging and real-time tracking of hidden objects over a distance of 1.43 kilometers. Using both software and […]