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.

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.

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.

Professor Jim Collins
44 Cummington St., Boston, MA 02215
Our laboratory is currently working in two areas: 1) We are developing and implementing computational-experimental methods to reverse engineer and analyze gene regulatory networks in microbes and higher organisms. 2) We are designing and constructing synthetic gene networks for a variety of biotechnology and bioenergy applications. We are also using engineered gene networks to study general principles underlying gene regulation.

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.

Associate 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.

Professors Murat Alanyali, Jeffrey Carruthers, Christos Cassandras, David Castañón, Clem Karl, Janusz Konrad, Thomas Little, Prakash Ishwar, Hamid Nawab, Bobak Nazer, Ioannis Paschalidis, Venkatesh Saligrama, David Starobinski, 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

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.

Professors David Starobinski and 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 scalability, heterogeneity, and performance. Our research roots into the mathematical fields of graph theory and algorithms, probability and stochastic processes, and coding theory with applications to content synchronization, network monitoring, wireless spectrum management, and advanced networking for scientific applications. Laboratory activities include a number of practical and theoretical projects involving about a dozen graduate and undergraduate students in the department.

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

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.

Assistant Professor Mac Schwager
44 Cummington St, Room B-14, Boston, MA 02215
In the Multi-robot Systems Lab (MSL), we study group robotic agents that collaborate to accomplish a common task. We focus on the design, analysis, and implementation of decentralized control, estimation, and learning algorithms for groups of robots. We also develop robotic aerial and ground platforms for validating our algorithms experimentally. The laboratory includes an aerial robot-flying arena with a motion capture system for high-precision, high-speed experimental investigations with autonomous flying robots.

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.

Professors Azer Bestavros, John Byers, Mark Crovella, and 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.

Professors Mark Karpovsky and 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.

Professors Janusz Konrad and 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.