Automation & Control
Automation & Control combines engineering with machine-learning in order to provide industrial systems with the information necessary to work in an automatic and controlled manner. Research areas include: atomic force microscopy, bio-inspired control, discrete-event systems, formal languages for robot mission specification, hybrid systems, image-guided surgery, networked control systems, robot path planning and control, robotic swarms, and UAV flight control.
Lei Tian Named Provost’s Scholar-Teacher of the Year for Innovative Teaching and Research
Boston University engineering professor Lei Tian, a faculty affiliate of the Center for Information and Systems Engineering (CISE), has been named the 2025 Provost’s Scholar-Teacher of the Year. The award, which includes a $5,000 stipend, honors faculty who excel both as researchers and as teachers. Tian, an associate professor of electrical and computer engineering, emphasizes […]
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 […]
CISE Hosts 11th Annual Graduate Student Workshop (CGSW 11.0)
Over 100 student and faculty attendees gathered on January 24th, 2025, for the 11th Annual Graduate Student Workshop hosted by the Center of Information and Systems Engineering (CISE). The day-long symposium featured doctoral students from different disciplines across Boston University’s College of Engineering presenting their original research. “CGSW aims to bring together CISE students, faculty, […]
CAREER: Physically-Aware Accelerator Design Flows for Motion Planning
A focus of modern computer engineering is designing customized computer processors (accelerators) in order to meet the timing and power needs of emerging applications, and one critical application space that can benefit from customized accelerators is autonomous systems, e.g., robots that can walk and grasp objects. Robots must complete heavy computational workloads fast enough to […]
Koopman in the Field: Feedback, Teaching, and Adaptation for Real World Mechanical Systems
Teaching autonomous machines to perform complex tasks currently requires advanced expertise in mechanical systems and specialized algorithms, making these technologies inaccessible to many. This limits who can use them, where they can be deployed, and how effectively they operate over time. Emerging technologies such as soft robots are inexpensive, easy to deploy, and hold great […]
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 […]
Sketching for Efficient and Robust Top-Down Autonomous Navigation
The award supports a research project that introduces a novel approach that robots can use to navigate (individually or as part of a team) in unknown environments in a way that is closer to how humans approach the same task. The main project novelty is represented by the high-level reasoning used by the robots (which […]
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. […]
Collaborative Research: Closed-loop Optimization and Control of Physical Networks Subject to Dynamic Costs, Constraints, and Disturbances
This project will advance a fundamentally new control framework, utilizing streams of heterogeneous data to optimize the behavior of complex and dynamic networked systems with pervasive sensing and computing capabilities, operating in uncertain and changing environments. Existing workhorse control and optimization methodologies assume a large separation of time scales, sufficient to justify complete decoupling of […]