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.
New Frontiers in Self-driving Cars
Lidar, used in most self-driving cars, models the world around them by creating 3D representations of a scene in view. Photo by John D. SL/Shutterstock One of the most promising developments born out of the 2005 DARPA Grand Challenge was the use of lidar technology in self-driving cars, also known as autonomous vehicles (AVs). […]
Joshua Rapp wins the 2020 IEEE SPS Young Author Best Paper Award
Boston University alumnus Joshua Rapp (Ph.D. ECE ’20) has won the 2020 IEEE Signal Processing Society Young Author Best Paper Award. This prestigious award will be presented to Dr. Rapp by IEEE Signal Processing Society President Ahmed Tewfik at the ICASSP 2021 in Toronto, Canada, June 6-11, 2021. Rapp was a student of CISE faculty […]
Collaborative Research: CIF: Small: Toward a Science of Vehicular Epidemiology: Computing, Control, and Security
Vehicle-to-everything communication is a transformational emerging technology that is poised to enhance transportation safety and traffic management, thereby saving lives and yielding major economic gains by alleviating traffic congestion. This technology will enable vehicles to communicate with each other, as well as with traffic signals, road side units, bikes, wheelchairs, and pedestrians to augment situational […]
Resilient Execution of Localized Algorithms at the Tactical Edge (RELATE)
Warfighters engaged in tactical operations are increasingly reliant on time-sensitive sensor information collected from Internet of Battlefield Things (IoBT) devices at the tactical edge to achieve mission goals. If the information flow is disrupted or the information is not processed correctly, then mission success can be severely impacted. A tactical edge network poses unique challenges […]
NEXTCAR Self-driving Car in Action Advances the Future Internet of Cars
Traffic congestion around the world is worsening, according to transport data firm INRIX. In the U.S. alone, Americans wasted an average of 97 hours in traffic in 2018 – that’s two precious weekends worth of time. Captivity in traffic also costs them nearly $87 billion in 2018, an average of $1,348 per driver. Clearly, the […]
Multiplication by Divisions
Materials, Systems Divisions Cross Traditional Barriers to Facilitate Research Fuel cell use could be one of the best ways to mitigate climate change—fuel cells work like batteries, provide efficient power and don’t emit air pollutants. But there are multiple barriers in research and development before they will be available to a commercial market. Professor Soumendra Basu […]
Abraham Matta Wins NSF Grant for Application Software Project
CISE Faculty Affiliate Abraham Matta, Professor (CS, SE) and a Hariri Research Fellow received a grant from the Division of Computer and Network Systems, National Science Foundation for his proposal titled “CNS Core: Small: Collaborative Research: HEECMA: A Hybrid Elastic Edge-Cloud Application Management Architecture”. This project will examine how application software can be partitioned and deployed over different parts of […]
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 […]
Neuro-Autonomy: Neuroscience-inspired Perception, Navigation, and Spatial Awareness for Autonomous Robots
State-of-the-art Autonomous Vehicles (AVs) are trained for specific, well-structured environments and, in general, would fail to operate in unstructured or novel settings. This project aims at developing next-generation AVs, capable of learning and on-the-fly adaptation to environmental novelty. These systems need to be orders of magnitude more energy efficient than current systems and able to pursue complex goals in […]
Decentralized optimal control of cooperating networked multi-agent systems
Multi-agent systems encompass a broad spectrum of applications, ranging from connected autonomous vehicles and the emerging internet of cars, where the spatial domain may be hundreds of miles with time horizons over hours of days, to micro-air vehicles which operate over meter length and minute time scales, and down to nano-manipulation with nanometer spatial microsecond […]