{"id":118300,"date":"2022-06-21T14:41:24","date_gmt":"2022-06-21T18:41:24","guid":{"rendered":"https:\/\/www.bu.edu\/eng\/?page_id=118300"},"modified":"2022-10-27T14:40:08","modified_gmt":"2022-10-27T18:40:08","slug":"se-research-laboratories","status":"publish","type":"page","link":"https:\/\/www.bu.edu\/eng\/academics\/departments-and-divisions\/systems-engineering\/se-research\/se-research-laboratories\/","title":{"rendered":"SE Research Labs"},"content":{"rendered":"

ANDERSSON LABORATORY<\/h3>

\nANDERSSON LABORATORY<\/a><\/strong><\/p>\n

Associate Professor Sean Andersson
\n110 Cummington St., Boston, MA 02215
\n617-353-4949<\/p>\n

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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ADVANCED MATERIALS PROCESS CONTROL LABORATORY<\/h3>

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\nADVANCED MATERIALS PROCESS CONTROL LABORATORY<\/a><\/strong><\/p>\n

Associate Professor Michael Gevelber
\n15 St. Mary\u2019s St., Brookline, MA 02446
\n617-353-9572<\/p>\n

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.
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BU Robotics Lab<\/h3>

\nBU ROBOTICS LABORATORY<\/a><\/strong><\/p>\n

Professor Calin Belta (Director), Associate Professor Sean Andersson,
\nProfessor John Baillieul, Professor Christos Cassandras and Professor Roberto Tron
\n750 Commonwealth Avenue, Brookline, MA 02446<\/p>\n

The Boston University Robotics Lab occupies about 4,000 sq. ft. in the Engineering Product Innovation Center (EPIC) on BU\u2019s 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.
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BIOROBOTICS RESEARCH GROUP (BRG)<\/h3>

\nBIOROBOTICS RESEARCH GROUP (BRG)<\/a><\/strong><\/p>\n

Adjunct Professor Pierre Dupont
\nRm 350, Enders Building, Boston Children\u2019s Hospital
\n300 Longwood Ave., Boston, MA 02115
\n617\u2013919\u20133562<\/p>\n

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.
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CONTROL OF DISCRETE EVENT SYSTEMS (CODES) LABORATORY<\/h3>

\nCONTROL OF DISCRETE EVENT SYSTEMS (CODES) LABORATORY<\/a><\/strong><\/p>\n

Professor Christos Cassandras
\n8 Saint Mary\u2019s Street, Boston MA 02215
\n617-353-7154<\/p>\n

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.
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DATA SCIENCE & MACHINE LEARNING LABORATORY<\/h3>

\nDATA SCIENCE & MACHINE LEARNING LABORATORY<\/a><\/strong><\/p>\n

Professor Venkatesh Saligrama
\n8 St. Mary\u2019s Street, Brookline, MA 02446
\n617-353-1040<\/p>\n

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.
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HYBRID AND NETWORKED SYSTEMS LABORATORY (HYNESS LAB)<\/h3>

\nHYBRID AND NETWORKED SYSTEMS LABORATORY (HYNESS LAB)<\/a><\/strong><\/p>\n

Professor Calin Belta
\n15 St. Mary\u2019s St., Brookline, MA 02446
\n617-353-9586<\/p>\n

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.
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INFORMATION & DATA SCIENCES (IDS) LABORATORY<\/h3>

\nINFORMATION & DATA SCIENCES (IDS) LABORATORY<\/a><\/strong><\/p>\n

Associate Professor Jeffrey Carruthers, Professor Christos Cassandras, Professor David Casta\u00f1\u00f3n, 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
\n8 St. Mary\u2019s St., Boston MA 02215
\n617-353-1668, 617-353-9919<\/p>\n

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:<\/p>\n