Research that Matters

Research Partner

The Center for Information & Systems Engineering (CISE) serves the College of Engineering and Boston University through activities designed to deepen and broaden interdisciplinary research in the study and design of intelligent systems with broad societal applications. CISE activities are designed to catalyze and support cross-disciplinary faculty research collaborations, advance scientific understanding and discovery, facilitate engagement with industry, and support a diverse community of faculty and students. In conjunction with this core mission, CISE spearheads a number of activities to project the College of Engineering’s and BU’s strength in information and systems engineering, both internally and externally.

Fifty-one affiliated faculty, across three colleges and nine departments, engage in cuttingedge research collaborations to develop new methods, discover fundamental principles, and design systems and algorithms that impact a plethora of application domains.

Community Activities

• Annual CISE Graduate Student Workshop (CGSW 8.0), April 15, 2022

• Annual CISE Graduate Student Best Paper Competition

• Grace Hopper Celebration, Sponsored five students

• CISE/MSE/SE International Students and Scholars Office Workshop

• Presentation/CV Workshops

• Internship and Employment Opportunities

• Community Building activities: Welcome Back (September), Halloween (October), MSE/SE/CISE Thanksgiving lunch, December Holiday Brunch (December), Chinese New Year, Valentines, Nowruz, Cinco de Mayo, Mediterranean Day, CISE/SE End of Year events.

Cise Seminars

DR. TODD MURPHEY

Northwestern University Control Principles for Robot Learning

DR. MINGYI HONG

University of Minnesota

Towards Efficient, Versatile, And Privacy-Preserving Federated Learning

DR. ALEXEY MIROSHNIKOV

Discover Financial Services

Wasserstein-based Fairness

Interpretability Framework For Machine Learning Outcomes

AI IN HEALTHCARE: MITIGATING DISPARITIES,BIASES & MISINFORMATION

Virtual symposium hosted by the Hariri Institute for Computing and co-sponsored with BU School of Public Health

SALOMÓN WOLLENSTEIN-BETECH

Boston University, SE PhD Candidate CISE LUNCH & LEARN

DR. ARCHANA VENKATARAMAN

Johns Hopkins University

BridgingtheGapBetweenAIand ClinicalNeuroscienceviaDeepGenerative Fusion Models

DR. DIMITRA PANAGOU

University of Michigan

Fixed-Time Control Barrier Functions forSafety-CriticalControlApplications inthePresenceofUncertainty

DR. CHUCHU FAN

Massachusetts Institute of Technology

BuildingDependableAutonomous SystemsthroughLearningCertified Decisions and Control

DR. ANDREAS MALIKOPOULOS

University of Delaware

SeparationofLearningandControlfor Cyber-PhysicalSystems

DR. ROGERIO SCHMIDT FERIS

MIT-IBM Watson AI Lab

DynamicNeuralNetworksforEfficient MultimodalVideoUnderstanding

DR. RAYADURGAM SRIKANT

University of Illinois at UrbanaChampaign

The Role of Lookahead and ApproximatePolicyEvaluationinPolicy Iteration with LinearValue Function Approximation

DR. RAY CHOWDHURY

Boston University

OnlineReinforcementLearningin LargeandStructuredEnvironments

Here is the funding breakdown from the 2021-2022 fiscal year. Our research was supported by the following: the National Science Foundation, the National Institutes of Health, the Department of Defense, the Department of Energy, various non-profit and industry organizations all totaling 35 million dollars in funding for research in the Division.

And Lectures

DR. CHRISTINE ALLENBLANCHETTE

Princeton University

LeveragingDatasetStructurefor Neural Network Prediction

DR. TAN

Northeastern University

ConstructingCertifiedNeural Networks

DR. CLAYTON SCOTT University of Michigan

ClusteringfromPairedObservations

DR. AKSHAY KRISHNAMURTHY

Microsoft

RepresentationLearning,Exploration, andReinforcementLearning

DR. KEVIN JAMIESON University of Washington

InstanceDependentSample

ComplexityBoundsforInteractive Learning

DR. FRANCESCA PARISE

Cornell University

Tractable Network Interventions For LargeSocio-TechnicalSystems

DR. FURKAN ERCAN WISE-Circuits Labs

HighThroughput,LowPower,or EnergyEfficiency?HowtoAchieveAll for5GPolarCodes,andBeyond

CISE BEST STUDENT PAPER PRESENTATIONS

Rui Liu (SE PhD candidate); Anthony Byrne (ECE PhD candidate);

Salomon Wollenstein-Betech (SE PhD candidate); Alexander Bulekov (ECE PhD candidate)

DR. THEODORA CHASPARI Texas A&M University

Human-CenteredMachineIntelligence: FromRobustSignalAnalyticsto TrustworthyHuman-Technology Partnership

DR. NATHAN KALLUS

Cornell University

Smooth Contextual Bandits

DR. GIRISH N. NAIR WITH PHD STUDENT MAXWELL VARLEY

University of Melbourne, Australia

JointEntropyandKalmanFilteringin Localization

ENG WINS $8.8M MASSTECH GRANT TO BUILD ROBOTICS LAB: RASTIC, A NEW ROBOTICS AND AUTONOMOUS SYSTEMS FACILITY

The Boston University Robotics and Autonomous Systems Technology and Innovation Center (BU RASTIC) is a new convergent entity that focuses on the development of advanced robotics and autonomous systems. BU RASTIC will facilitate hands-on training for our students specializing in robotics, autonomous vehicles, computer vision, machine learning, control systems, and other related fields.

The center will provide a platform for researchers, students, and industry professionals to collaborate on cutting-edge technologies in robotics and autonomous systems. It will also offer advanced state-of-the-art labs, testing platforms, and equipment to support research and development experience in these areas.

Funding for RASTIC includes $4.4M from the Innovation Institute at the Massachusetts Technology Collaborative (MassTech) and $4.4M matching funds from Boston University with the goal of developing the next-generation workforce in robotics and autonomous systems.

STUDENT EVENTSCGSW 8.0

CISE affiliated students, including SE students Salomon WollensteinBetech (PhD candidate SE) and Mahroo Bahrenian (PhD Candidate) organized the 8th CISE Graduate Student Workshop (CGSW 9.0) where 18 students shared their research and vied for Best Presenter awards. Jimmy Queeney (PhD Candidate SE) received the CGSW 8.0 Best Presenter award for his research presentation on “Stable and Efficient Reinforcement Learning with Principled Sample Reuse.”

The CISE Graduate Student Workshop (CGSW) is an annual forum that provides students the opportunity to share their original research and hone their communication skills in an engaging, collaborative environment. Organized by students, for students, the day-long event encourages interdisciplinary sharing among affiliated students, faculty, and invited guest speakers across diverse application areas.

Faculty Featurefrancesco Orabona

“Francesco Orabona, ENG Associate Professor of Electrical and Computer Engineering [an affiliate of Systems Engineering], bridges the mathematical foundations of learning theory and data science with applications to scientific, societal, and realworld engineering problems. His efforts have led to the development of autonomous online learning algorithms that require minimal human supervision— first-of-its-kind work that is now part of Microsoft’s machine learning tool kit. The past recipient of a Google Research Award, he is a Data Science Faculty Research Fellow at BU’s Hariri Institute and a founding faculty member of the Faculty of Computing & Data Sciences. Last year, he served as senior area chair at the Association for Advancement of Artificial Intelligence (AAAI) Conference on Artificial Intelligence. He has published five book chapters and more than 60 peer-reviewed journal articles.”

-Excerpt from BU Today