SE Research Laboratories


Associate Professor Sean Andersson
110 Cummington St., Boston, MA 02215

The Andersson Laboratory at Boston University focuses on systems and control theory, driven in large part by applications in nanobioscience, nanotechnology, and robotics. Through a combination of fundamental theory, applied mathematics, and physical experiments, we explore dynamics in nanometer-scale systems. By focusing on scale-invariant algorithms, we draw inspiration from robotics and multi-agent systems and seek, in turn, to apply our techniques in that domain.

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Associate Professor Michael Gevelber
15 St. Mary’s St., Brookline, MA 02446

Research in this laboratory focuses on improving materials processing capabilities by applying a controls-based approach. Our controls-based approach integrates process modeling, sensor development, both system and control design, and experimentation to achieve greater control of material microstructure as well as improving yield and maximizing production rate. Research projects, typically conducted with industry partners, span a range of application areas including opto-electronic applications, advanced engines, power systems, and biomedical applications. Ongoing research projects include real-time control for plasma spray for thermal barrier coatings and fuel cells, e-beam deposition for precision optical coatings, electrospinning of nanofibers, chemical vapor deposition, and Czochralski crystal growth. Research is also being conducted on developing intelligent control and sensing approaches for optimizing building HVAC systems, using university buildings to test out new ideas.

Systems RoboticsLab_0579


Professor Calin Belta (Director), Associate Professor Sean Andersson,
Professor John Baillieul, Professor Christos Cassandras and Professor Roberto Tron
750 Commonwealth Avenue, Brookline, MA 02446

The Boston University Robotics Lab occupies about 4,000 sq. ft. in the Engineering Product Innovation Center (EPIC) on BU’s Charles River campus. It includes an experimental arena, a workshop, a student seating area, a conference room, and a kitchen. The experimental arena consists of a motion capture system containing about 50 infra-red cameras and several short-throw projectors that can create dynamical images on the floor. Experiments are performed with several ground and air autonomous vehicles, both off-the-shelf and built in-house. The workshop provides the ability to perform on-site robot design, construction, and repair. There is seating for 28 people in the student seating area and seating for 12 in the conference room. There are AV systems in both the seating area and conference room, with a high-definition camera in the conference room for long-distance meetings. There are numerous whiteboards throughout the lab. Research in the lab spans several areas of robotics, including motion planning, control, machine learning, and computer vision.

Systems Dupont lab


Adjunct Professor Pierre Dupont
Rm 350, Enders Building, Boston Children’s Hospital
300 Longwood Ave., Boston, MA 02115

The BioRobotics Research Group (BRG) solves theoretical and practical problems in minimally invasive surgery. They specialize in medical robot and instrument design, development of imaging techniques for surgical guidance, modeling tooltissue interaction; and teleoperation/automation of instrument motion. They utilize analytical tools from robotics, dynamics and control together with innovative design techniques to create successful solutions. The team members come from diverse backgrounds with degrees in mechanical/biomedical/ electrical engineering and medicine. Their specialties range from biomedical robotics, clinical practice and imaging to product design and many areas in between.

Systems CODES


Professor Christos Cassandras
8 Saint Mary’s Street, Boston MA 02215

The Control of Discrete Event Systems (CODES) Laboratory involves faculty and graduate students from the Division of Systems Engineering and operates within the Center for Information and Systems Engineering (CISE). Members of CODES conduct research on modeling, design, analysis, performance evaluation, control, and optimization of a variety of discrete event and hybrid systems including communication and sensor networks, manufacturing, transportation, and multi-agent systems. Some of the best-known analytical frameworks and methodologies in the field of discrete event systems have been pioneered by members of the CODES Laboratory. CODES research projects are supported by several federal agencies and by industry.


Professor Venkatesh Saligrama
8 St. Mary’s Street, Brookline, MA 02446

The Data Science & Machine Learning laboratory is involved in projects related to Machine Learning, Vision & Learning, Structured Signal Processing, and Decision & Control.  In the area of machine learning recent research projects have dealt with resource constrained machine learning, graph-structured signal detection and recovery, topic modeling and anomaly detection. Another focus of our recent research is on developing machine learning methods in the context of computer vision. We work on problems involving video analytics in highly cluttered scenes, search and retrieval in large video stores, zero-shot learning, person re-identification and real-time anomaly detection.


Professor Calin Belta
15 St. Mary’s St., Brookline, MA 02446

We are interested in phenomena that occur when continuous dynamics, described by systems of differential equations, are combined with discrete dynamics, modeled as automata or state transition graphs. Such systems are called hybrid, and examples range from man-made systems such as mobile robots, to naturally occurring systems such as biochemical networks, where the continuous dynamics of metabolic processes is regulated by the logic of gene expression. Our approach to the analysis and control of such systems combine concepts and tools from computer science and control theory. Our current application areas are networked mobile robotics, swarming, gene networks, and genome scale metabolic analysis.


Associate Professor Jeffrey Carruthers, Professor Christos Cassandras, Professor David Castañón, Research Professor Robert Gray, Associate Professor Vivek Goyal, Professor Prakash Ishwar, Professor W. Clem Karl, Professor Janusz Konrad, Assistant Professor Brian Kulis, Assistant Professor Wenchao Li, Professor Thomas Little, Professor Hamid Nawab, Assistant Professor Bobak Nazer, Assistant Professor Alex Olshevsky, Professor Ioannis Paschalidis, Professor Venkatesh Saligrama, Professor David Starobinski, Assistant Professor Lei Tian, and Professor Ari Trachtenberg
8 St. Mary’s St., Boston MA 02215
617-353-1668, 617-353-9919

IDS research centers on the sensing, communication, and processing of various forms of information with the objective of designing and synthesizing secure networked systems for optimum decision-making and control. IDS members have a broad range of research interests but share a common approach to problem-solving, the pursuit of foundational research, and the development and utilization of sophisticated analytic and algorithmic tools from mathematics, statistics, computer science, and physics. The research conducted by IDS faculty and students covers a broad spectrum of problems, from advanced theory to practical algorithm implementation, in the following areas:

  • Machine Learning, Big Data, and Analytics
  • Computational Imaging and Inverse Problems
  • Decision and Estimation Theory
  • Signal, Image and Video Processing
  • Biological and Medical Imaging
  • Computational and Systems Biology
  • Medical Informatics
  • Communication and Information Theory
  • Network Security

Systems Baillieul lab


Professor John Baillieul, Associate Professor Sean Andersson, and Associate Professor Hua Wang
110 Cummington Street, Boston MA 02215

This laboratory is equipped with a wide variety of robotic devices including RF-networked sensor arrays, nearly forty mobile ground robots, twelve quadrotor autonomous air vehicles, and an infrared based motion capture system for precise indoor positioning. Additional resources include real-time control software, hand-held computing and communication devices, workstations, and a wide variety of sensors and actuators. This equipment is dedicated to research in limited-bandwidth control problems, symbolic control, cooperative systems and control, and animal-inspired agile flight control.

Systems Starobinski lab


Professor David Starobinski and Professor Ari Trachtenberg
8 St. Mary’s St., Boston, MA 02215
617-353-0202, 617-353-1581

The Laboratory of Networking and Information Systems (NISLAB) is involved in providing novel perspectives to modern networking with emphasis on security, performance, scalability, and economics. Our research focuses on using mathematics (such as algorithms, probability and stochastic processes, applied cryptography, coding theory, and game theory) and various practical tools to solve advanced problems in networking and systems, including security and privacy for mobile and vehicular networks, data synchronization and dissemination, spectrum management, network monitoring, and high-performance networking.  Laboratory activities include both practical and theoretical projects, involving graduate and undergraduate students working in teams.


Professor W. Clement Karl
8 St. Mary’s St., Boston, MA 02215

The MDSP laboratory conducts research in the general areas of multi-dimensional and multi-resolution signal and image processing and estimation and geometric-based estimation. The development of efficient methods for the extraction of information from diverse data sources in the presence of uncertainty including:

  • Enhanced resolution image reconstruction for Cardiac Computerized Tomography
  • Multisource data fusion
  • Nanoscale optical microscopy
  • Biological interface estimation and tracking

Systems Little LightingLab_0082


Professor Thomas D.C. Little
8 St. Mary’s St., Boston, MA 02215

The Multimedia Communications Laboratory (MCL) at Boston University focuses on topics in ubiquitous distributed computing. Our legacy work is in the area of distributed multimedia information systems emphasizing time-dependent and continuous media data such as audio and video. Recent work targets wireless networking and communications to support ambient computing in indoor (smart rooms) and outdoor (vehicles) contexts.


Professor Azer Bestavros, Professor John Byers, Professor Mark Crovella, and Professor Abraham Matta
111 Cummington Mall, Boston, MA 02215

The Networks Research Group (NRG) conducts basic research in networking within the Department of Computer Science at Boston University. Our research interests are broad, and encompass network measurement, the design of new network architectures and network protocols, the design and implementation of networked applications and systems, and network performance analysis. Application domains of interest range from cloud computing to social networks to peer-to-peer systems.

Systems Paschalidis lab


Professor Ioannis Paschalidis
8 St. Mary’s Street, Boston, MA 02215, PHO 415

Research deals with fundamental aspects of optimizing the design and operation of networks as well as designing control algorithms to regulate their operation. Networks are pervasive in a variety of application domains, from computer, communication, and sensor networks to supply chains, distribution networks, and biological networks like protein interaction and metabolic networks. Recent research topics include transmission scheduling in wireless networks, optimal deployment of networks of mobile agents, network routing, network anomaly detection, pricing and resource allocation, network simulation, intelligent warehouse management, protein docking, and optimization of metabolic networks.


Professor Mark Karpovsky and Professor Lev Levitin
8 St. Mary’s Street, Boston, MA 02215

Members of the laboratory conduct research on a broad variety of topics, including the design of computer chips, efficient hardware testing at chip, board, and system levels; functional software testing, efficient signal processing algorithms, coding and decoding; latency, saturation, and critical phenomena in interconnection networks and deadlock prevention in computer networks.


Professor Avrum Spira
One Boston Medical Center Place, Room E633, Boston, MA 02118

Our focus is on translational research to better understand lung biology and disease using post-genomic technologies and computational tools. The long terms goals of our lab are two fold. On the one hand, we seek to leverage these approaches to improve the diagnosis, treatment, and prevention of lung disease. On the other hand, we seek to develop and apply new research approaches and to train physician-scientists and graduate students who can apply these tools in the setting of translational research.


Professor Sandor Vajda
44 Cummington St., Boston, MA 02215

The focus of this laboratory is the development and application of computational tools for the analysis of protein structure and protein-ligand interactions. Some of the particular problems we currently study are the evaluation of binding free energy in protein-protein complexes, development of efficient docking algorithms, computational solvent mapping of proteins using molecular probes to identify the most favorable binding positions, method development for fragment-based drug design, construction of an enzyme binding site database, and improving the prediction of protein active sites by homology modeling.

Systems Prakash Konrad lab


Professor Janusz Konrad and Professor Prakash Ishwar
8 Saint Mary’s Street, Boston, MA 02215, Rooms 406, 446

The VIP Laboratory belongs to the Information and Data Sciences (ISD) Group at the Department of Electrical and Computer Engineering at Boston University. Its three main objectives are sponsored research, student training, technology transfer, in the broad area of image, video and multimedia processing. It has been home to graduate and undergraduate students working on various aspects of visual information processing, such as visual surveillance, 3-D video or human-computer interfaces. The most recent research thrust in the VIP Laboratory is directed towards the development of next-generation user authentication methods to replace pass-codes, key-cards, RFID tags, etc. The focus is on gesture-based authentication where a user performs, for example, a unique arm swing, allowing the system to recognize him or her. The advantage of such authentication over today’s fingerprint or iris scans is that once such a scan is compromised it cannot be recovered, whereas a gesture can be changed.