Networks

Networks make the whole greater than the sum of its parts. Social networks, computer networks, and transportation networks are all examples of networks that are deeply enmeshed into our lives. CISE investigates fundamental research questions in networks, such as network formation and evolution, and interaction between network agents (which may be selfish or malicious). The questions are addressed through advances in the fields of optimization, control, distributed algorithms, and game theory. The theoretical methods are complemented by experimental work, which include testing of IoT and 5G network systems, deployment of networks of autonomous agents (e.g., robots, drones, and connected vehicles), design of neural networks for deep learning, federation of cloud computing systems, and data-driven methods to detect and thwart malicious behavior on the Internet.

CISE Faculty Recognized for Groundbreaking AI Research with AIRR Awards

Recognized for their cutting-edge research in artificial intelligence, 11 CISE faculty affiliates have been honored with AI Research Resource (AIRR) awards. This Hariri Institute program supports AI research at Boston University by giving researchers access to the New England Research Cloud (NERC), a regional computing infrastructure that provides cloud-based resources tailored to academic research. A […]

BU Assistant Professor Rabia Yazicigil (ECE, BME) Working to Enhance American Wireless Communications Through $6 Million Northeast Microelectronics Hub Grant

The COVID-19 pandemic exposed vulnerabilities in American supply chain logistics, especially regarding semiconductor chips, which are the foundation for modern technology and essential to future innovations. In 2020, the United States manufactured just 10% of the world’s total supply of semiconductors, a significant decrease from 1990 when America produced 37% of these chips.  American economic […]

Emiliano Dall’Anese, Boston University Professor, joins as CISE Affiliated Faculty

According to the United States Environmental Protection Agency (EPA), motor vehicles produced about 22% of total U.S. greenhouse gas emissions in 2020, making them the most significant contributor to the country’s emissions. Emiliano Dall’Anese, Associate Professor (ECE, SE) and faculty affiliate of the Center for Information & Systems Engineering and Hariri Institute, uses optimization, control, […]

Innovative Energy Efficiency: Fisheye Cameras in Smart Spaces

Imagine a bustling corporate office building where energy consumption needs to be balanced with maintaining a comfortable environment for employees. In such settings, traditional methods of regulating air handling systems can lead to inefficiencies and waste energy in unoccupied areas. This is where the research of Boston University Professors and CISE affiliates Thomas Little, Janusz […]

CISE Students Win CSS TC 2024 Outstanding Student Paper Prize

The committee for the Outstanding Student Paper Prize 2024 announced this year’s prestigious award recipients. Among six national nominations, one paper written by two CISE students stood out for its innovative contributions to the field of smart cities. Ehsan Sabouni and H.M. Sabbir Ahmad and their collaborators are exemplars of academic excellence and collaborative spirit. […]

SWIFT: Facilitating Spectrum Access by Noise Guessing

Wireless technologies play an essential role in enabling growth and prosperity in societies by supporting business, government, science and education, defense, and health sectors. The boom of connected Internet of Things (IoT) nodes and 5G wireless communications will lead to a many-fold increase in wireless data traffic. This data storm and connectivity-in-everything model will result […]

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 […]

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 […]