University research directory

Research labs at
Boston University.

Compare 5 listed faculty-led profiles, explore their research interests, and follow the evidence in their selected work. These listings are a starting point for discovery and do not establish recruiting availability.

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Review each lab’s official website and recent publications. Compare the methods used, the questions being asked, and the practical requirements of any published opening. Unclaimed profiles are independently curated; the university has not approved or endorsed them.

How to compare research labs ↗Official university website ↗

5 research-led lab profiles

Browse labs by their listed college affiliation
DCIndependently curated · Unclaimed
Physics↗

David Campbell Research Group

Boston University

David Campbell · Professor (Physics, ECE, and MSE); Director of Graduate Studies

How do nonlinear excitations and correlated electronic interactions produce emergent behavior in low-dimensional materials and lattices? Research explores correlated electronic systems in reduced spatial dimensions including conducting polymers and graphene to understand correlation-driven phenomena. The group developed and applies a version of the functional Renormalization Group to analyze interacting one-dimensional and two-dimensional electronic systems. Work on intrinsic localized modes investigates nonlinear excitations (solitons, ILMs) in solids and Bose–Einstein condensates trapped in optical lattices to characterize localized energy modes. Collaborations study Fermi–Pasta–Ulam–Tsingou metastable states to probe non-equilibrium approaches to thermodynamic equilibrium.

Portrait of Elizabeth A. BarnesIndependently curated · Unclaimed
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Elizabeth A. Barnes Research Group

Boston University

Elizabeth A. Barnes · Professor of Computing & Data Sciences and of Earth & Environment

How can interpretable AI improve forecasts of Earth system variability across days-to-decades timescales? The group develops and implements artificial intelligence tools that mimic scientific human reasoning to improve intrinsic interpretability for climate applications. Researchers apply data-driven forecasting methods across temporal and spatial scales to quantify predictability and change in Earth systems using observational and modeled datasets. The team investigates mechanisms of Earth system variability and predictability by combining statistical analysis with interpretable machine learning to produce actionable scientific understanding. The group emphasizes responsible AI practices to anticipate human–Earth system futures and guide decision-relevant forecasting.

Earth system variabilitypredictabilityinterpretable AI
LRIndependently curated · Unclaimed
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Lucy R. Hutyra Research Group

Boston University

Lucy R. Hutyra · Distinguished Professor, Chair

How does urbanization alter city-scale carbon exchanges between the atmosphere and vegetation over seasonal to decadal timescales? The Hutyra Research Lab integrates atmospheric, biometric, and climatological observations to quantify drivers of atmosphere–biosphere carbon fluxes in urban and forested systems. Researchers measure and compare carbon and nitrogen cycling across land-use gradients to determine how land use change affects ecosystem productivity and carbon storage. The group applies ecosystem-scale flux measurements and remote/biometric datasets to identify climatic controls on ecosystem carbon exchange. Ongoing projects examine urban heat island effects and their influence on carbon dynamics across heterogeneous urban landscapes.

carbon cycleurban ecologyecosystem ecology
PBIndependently curated · Unclaimed
Biology↗

Peter Buston Research Group

Boston University

Peter Buston · associate professor of biology

How does cooperative behavior evolve in marine fishes that forgo personal reproduction? The Buston Lab studies social evolution using clown anemonefish to test hypotheses about cooperation and reproductive restraint. The group investigates population connectivity by measuring probabilities of larval exchange between sites using neon gobies as a model system. Research combines long-term field studies with experimental manipulations, molecular genetics, and mathematical modeling to link behavior, demography, and genetics. Students investigate how larval behavior and connectivity determine spatial genetic structure across marine metapopulations.

RMIndependently curated · Unclaimed
Computer Science↗

Renato Mancuso Research Group

Boston University

Renato Mancuso · Associate Professor

How can embedded systems guarantee predictable timing for safety-critical control in hybrid CPU+FPGA platforms? The Cyber-Physical Systems Lab develops software/hardware techniques for fine-grained performance profiling and management to achieve controllable timeliness in accelerator-enabled embedded systems. Researchers design real-time virtualization and hypervisor technologies to provide spatio-temporal isolation and workload-aware tuning for high-performance cyber-physical applications. The group builds workload profiling tools to capture interactions between applications, processors, and memory resources for informed resource management. Projects explore neural-network-driven flight control and deployable NN-based controllers with emphasis on safety assessment and system deployability.

cyber-physical systemsreal-time systemsembedded systems

Showing 1–5 of 5 labs