Research labs across colleges and universities

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Browse faculty research, publications, teams, and contact details. Unclaimed listings are independently curated from public sources and do not imply endorsement or recruiting availability.

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541 research-led lab profiles

Browse labs by their listed college affiliation
DLIndependently curated · Unclaimed
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Sign Linguistics and Language Acquisition Lab

University of Connecticut

Diane Lillo-Martin · Board of Trustees Distinguished Professor of Linguistics

Sign languages provide a distinctive window into what human languages share and what depends on the way they are expressed. Lillo-Martin studies the structure and acquisition of American Sign Language, alongside language development across languages. Her research includes ASL acquisition by Deaf children and the development of both ASL and spoken English in hearing children from Deaf parented families. Comparing signed and spoken language helps examine universal and modality specific properties, connecting linguistic structure with questions about how the human mind acquires language.

American Sign LanguageLanguage acquisitionBimodal bilingualism
Portrait of Silvia FerrariIndependently curated · Unclaimed
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Silvia Ferrari Research Group

Cornell University

Silvia Ferrari · John Brancaccio Professor of Mechanical and Aerospace Engineering

How can information-driven planning improve decision-making for sensing and control in distributed autonomous systems? The Laboratory for Intelligent Systems and Control (LISC) develops algorithms for information-driven path planning and control, active perception, and sensorimotor learning. Researchers formulate and apply adaptive dynamic programming, reinforcement learning, and nonparametric Bayesian models for target tracking and distributed sensor-network control. Projects include scalable learning algorithms for spiking neuronal networks and value-function approximation methods for multiscale dynamical systems.

roboticsautonomous systemscontrols
Portrait of Sinan Al-AniIndependently curated · Unclaimed
Department of Computer Science↗

Sinan Al-Ani Research Group

The University of Alabama

Sinan Al-Ani · Teaching Assistant Professor

Sinan Al-Ani's faculty-led research profile covers Cyber Security, Internet of Things (IoT), and Machine Learning.

Cyber SecurityInternet of Things (IoT)Machine Learning
LCIndependently curated · Unclaimed
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Soft Biomatter Laboratory

University of Virginia (Main campus)

Liheng Cai · Associate Professor of Materials Science and Engineering

How can soft materials be designed to interact predictably with living systems? The lab investigates the interface between soft biomaterials and biology, drawing on polymer physics and principles of soft matter. Research asks how these materials interact with biological objects and whether physical principles can help explain biological behavior. The program also explores AI and machine learning as tools for discovering fundamental relationships in soft materials. Its research areas include biomaterials, advanced biomanufacturing and self-driving laboratory approaches, with questions motivated by health, energy and sustainability.

Soft matterPolymer physicsBiomaterials
MBIndependently curated · Unclaimed
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Soft Materials and Structures Lab

Virginia Polytechnic Institute and State University

Michael Bartlett · Associate Professor

How can soft materials be made to grip, stretch or change shape on demand? The lab combines experiments and analysis to investigate relationships between material composition, geometry and programmed deformation. Research develops multifunctional materials through approaches informed by mechanics and biological systems. Documented applications include switchable adhesives, stretchable electronics, soft robots and adaptive structures. The work examines how mechanical behavior can be combined with other useful functions, connecting fundamental material properties with devices that must remain flexible while performing engineered tasks.

Soft roboticsSmart materialsAdhesives
CLIndependently curated · Unclaimed
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Soft Materials Group

Drexel University

Christopher Li · Professor of Materials Science and Engineering

The way a polymer organizes itself can be as important as its chemical ingredients. Christopher Li studies how structure and morphology govern the properties of complex soft and hybrid materials. His group examines ordered polymer systems, including crystalline polymers, liquid-crystalline materials, and block copolymers, with interests in energy storage and biomedical applications. The research connects molecular organization with material performance, making it relevant to researchers drawn to polymer physics, soft matter, and the design of functional materials for practical engineering problems.

Polymer materialsSoft matterBlock copolymers
Portrait of Spencer R. HallIndependently curated · Unclaimed
Biology↗

Spencer R. Hall Research Group

Indiana University

Spencer R. Hall · Professor

How do ecological interactions and food web structure influence infectious disease dynamics in freshwater environments? The lab investigates ecology of infectious disease and food web interactions to understand how community composition and trophic structure affect pathogen transmission. Researchers perform field studies and community ecology experiments to measure host-pathogen interactions, trophic cascades, and dilution or amplification effects across life stages. The group examines ontogenetic shifts, host demography, and spatial processes to link individual-level susceptibility with population-level disease outcomes. Lab projects integrate observational datasets, manipulative experiments, and ecological theory to predict disease risk across freshwater systems.

disease ecologyfood webscommunity ecology
Portrait of Fei-Fei LiIndependently curated · Unclaimed
Computer Science Dept.↗

Stanford Vision and Learning Lab

Stanford University

Fei-Fei Li · Sequoia Capital Professor

How can computational models enable machines to form human-like visual interpretations of objects, scenes, and actions? SVL constructs large-scale datasets and benchmarks such as BEHAVIOR to evaluate embodied AI agents on household tasks in realistic simulation environments. The lab develops algorithms for object and activity recognition including the Multi-Object Multi-Actor (MOMA) framework and activity graphs for compositional activity parsing in videos. SVL integrates multisensory datasets like ObjectFolder with benchmarks to train models that reason about 3D object properties from sight, sound, and touch. Research combines computational geometry, automated image and video analysis, and visual reasoning methods to study foundational principles and practical implementations of high-level visual perception.

SNIndependently curated · Unclaimed
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Stefanos Nikolaidis Research Group

University of Southern California

Stefanos Nikolaidis · Fluor Early Career Chair in Engineering and Associate Professor of Computer Science

How can robots behave robustly when interacting with people in unconstrained everyday environments? The ICAROS lab develops computational human-robot interaction algorithms and end-to-end robotic systems to assist users in complex, real-world tasks. The group builds automatic scenario generation methods to create diverse, realistic test scenarios that improve robotic robustness and evaluation. Researchers combine procedural content generation and quality diversity optimization with experimental deployments to enable robots to adapt through simulated and real-world experiences. The lab investigates end-to-end solutions that enable deployed robotic systems to act robustly when interacting with people in practical applications.

human-robot interactionroboticsmachine learning
SCIndependently curated · Unclaimed
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Stephanie Cologna Research Group

University of Illinois Chicago

Stephanie Cologna · Professor

What molecular changes accompany rare genetic diseases that damage the nervous system? The lab uses mass spectrometry to investigate neurodegenerative disorders, including genetic lysosomal storage diseases. Its research brings analytical chemistry together with biochemistry, molecular biology and human health. The department describes related research in proteomics and neurobiology, including molecular processes involved in neuronal connections, synaptic transmission and neurodegeneration. These directions connect measurements of biological molecules with questions about how nervous-system function becomes disrupted in disease.

Mass spectrometryNeurodegenerationProteomics
SSIndependently curated · Unclaimed
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Stephen S. Fong Research Group

Virginia Commonwealth University

Stephen S. Fong · Professor

Fong asks how microbial metabolism can be redesigned to produce useful chemicals. His research combines systems biology, computational metabolic models, and experimental strain development, connecting predictions about biochemical networks with engineered organisms. VCU describes a background that includes designing chemical production in Escherichia coli and broader work on modifying microorganisms for products ranging from fermentation outputs to fuels. This offers a research intersection between chemical engineering and biology: understanding an organism as a coordinated metabolic system, then investigating how changes to that system alter what it can manufacture.

Systems biologyMetabolic engineeringComputational modeling
Portrait of Steve DiggleIndependently curated · Unclaimed
School of Biological Sciences↗

Steve Diggle Research Group

Georgia Institute of Technology

Steve Diggle · Professor and Director of the Center for Microbial Dynamics & Infection

How do bacterial communication systems drive cooperative behaviors that promote chronic infection and treatment failure in the cystic fibrosis lung? The Diggle Lab studies quorum sensing pathways and bacteriocins to identify signals controlling biofilm formation and virulence. The group experimentally perturbs microbial interactions and social behaviors to measure effects on antimicrobial resistance mechanisms. Researchers model microbial group dynamics within the Center for Microbial Dynamics & Infection across systems ranging from coral reefs to cystic fibrosis lung infections. Methods combine genetic, chemical and ecological approaches to reveal targets for therapeutic interventions that reduce virulence or resistance.

microbial interactionsquorum sensingbiofilms
SAIndependently curated · Unclaimed
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Steven A. Soper Research Group

University of Kansas

Steven A. Soper · Foundation Distinguished Professor

What if complex medical measurements could fit onto a small chip? Steven Soper develops biomedical devices and assays that analyze DNA, RNA, and proteins for discovery and diagnostics. His research includes lab-on-a-chip cancer diagnostics, methods for isolating circulating tumor cells, and nanoscale devices for sequencing. The group integrates reagents, analytical methods, and hardware across multiple length scales, with applications to cancer, stroke, and infectious disease. This connects chemistry and mechanical engineering around the design of practical diagnostic systems.

Lab-on-a-chipCancer diagnosticsMicrofluidics
Portrait of Steven D. AllisonIndependently curated · Unclaimed
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Steven D. Allison Research Group

University of California, Irvine

Steven D. Allison · Professor

How do soil microbes respond to drought and affect ecosystem carbon cycling? The Allison Lab measures microbial physiological characteristics and integrates trait-based theory to explain microbial ecological roles. The group combines experiments and models across scales from genomes to the planet to analyze microbial diversity, functioning, and evolution. Researchers build new mathematical models and tools to test and compare soil carbon model performance and predict the fate of global soils. The lab conducts warming experiments (for example in Alaska) to observe microbial and ecosystem responses to rapid climate change.

microbial ecologysoil carbonclimate change
SMIndependently curated · Unclaimed
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Steven M. Abel Research Group

The University of Tennessee-Knoxville

Steven M. Abel · Associate Professor

Abel develops theoretical and computational approaches to cell biology and immunology. His group investigates how signaling networks, membranes, and the cytoskeleton interact across space and time, including antigen recognition by immune cells and intracellular transport. Research uses statistical mechanics and simulations of soft biological materials to examine spatial and stochastic effects that simpler models can overlook. Listed projects address actin organization and crowding in cell-sized compartments. The appeal is understanding cellular behavior through quantitative models that connect molecular interactions with the physical organization of a living cell.

Computational cell biologyImmunologyMembrane biophysics
SSIndependently curated · Unclaimed
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Sudeep Sarkar Research Group

University of South Florida

Sudeep Sarkar · Distinguished University Professor

Sudeep Sarkar studies how computers can understand the content and activity in images and video. His research covers visual grouping, gait biometrics, action recognition, medical images, and economic signals visible in satellite imagery. A major direction combines symbolic representations with deep learning to interpret events and support activities of daily living, including assistive robotics. The work links foundational computer vision with applications across medicine, engineering, and independent living. It is relevant to researchers interested in AI systems that reason about visual scenes and changing human activities.

Computer visionNeuro-symbolic AIActivity recognition
Portrait of Sudip MittalIndependently curated · Unclaimed
Department of Computer Science↗

Sudip Mittal Research Group

The University of Alabama

Sudip Mittal · Associate Professor

Sudip Mittal's faculty-led research profile covers Artificial Intelligence, Cyber Security, Data Analytics, and Digital Twins.

Artificial IntelligenceCyber SecurityData Analytics
SKIndependently curated · Unclaimed
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Surinder K. Batra Research Group

University of Nebraska Medical Center

Surinder K. Batra · Professor

Batra studies the molecular changes that drive pancreatic, ovarian, and prostate tumors. His laboratory investigates mucins and tumor-associated genes, linking altered growth and differentiation with potential diagnostic and therapeutic targets. Research interests include cancer diagnostics, vaccine approaches, monoclonal antibodies, and antibody engineering. UNMC describes a broader aim of understanding the mechanisms behind transformation and progression rather than studying a tumor as a single static state. The group offers prospective researchers a connection between cancer biochemistry and translational tools, where molecular characteristics can help frame strategies for detection and intervention.

Cancer biochemistryMucinsCancer diagnostics
SKIndependently curated · Unclaimed
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Surya K. Mallapragada Research Group

Iowa State University

Surya K. Mallapragada · Anson Marston Distinguished Professor and Carol Vohs Johnson Chair

Can a polymer become a carefully controlled delivery system for a therapeutic molecule? Surya Mallapragada develops polymeric nanobiomaterials for drug, gene, and vaccine delivery, alongside bio-inspired materials and neural tissue engineering. Her research includes controlled and targeted delivery systems and polymer scaffolds for tissue regeneration. These projects connect chemical engineering with the behavior of materials in biological settings. The work is relevant to researchers interested in biomaterials, the design of delivery platforms, and material approaches to supporting tissue repair.

Polymeric biomaterialsDrug deliveryGene delivery
Portrait of Susan ColeIndependently curated · Unclaimed
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Susan Cole Research Group

Ohio State University (Main campus)

Susan Cole · Professor and Chair

How does post-transcriptional regulation of Notch pathway components control timing and patterning during vertebrate embryonic development? The research group uses genetics, molecular biology, mouse models, and embryology to study Notch signaling dynamics and post-transcriptional control of oscillatory genes such as Hes1, Hes7, and Lunatic fringe. Ongoing projects examine how Lunatic fringe and Deltalike-3 cooperate to regulate the segmentation clock that times somite formation and how small changes in expression or turnover perturb somitogenesis and skeletal patterning. The group also studies Notch pathway effects in cardiac development and disease using collaborations and genetic analyses.

Notch signalingpost-transcriptional regulationsegmentation clock
SDIndependently curated · Unclaimed
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Susan D. Richardson Research Group

University of South Carolina-Columbia

Susan D. Richardson · Arthur Sease Williams Professor of Chemistry

Susan Richardson investigates chemicals in water that can be difficult to identify and measure. Her environmental analytical chemistry research includes drinking-water disinfection by-products, PFAS, microplastics, pharmaceuticals, and other emerging contaminants. Mass spectrometry and new analytical methods support questions about chemical exposure, while additional work examines removal technologies and how algae affect drinking water and human health. The program connects precise chemical measurement with environmental treatment challenges. It is relevant to understanding what conventional monitoring may miss and how analytical advances can inform cleaner water systems.

Water contaminantsMass spectrometryDisinfection by-products
SBIndependently curated · Unclaimed
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Susmita Bose Research Group

Washington State University

Susmita Bose · Professor

Bose investigates materials that can help repair bone while interacting with living tissue. Her research includes three-dimensional printing of ceramic and ceramic-polymer scaffolds, modifying the surfaces of load-bearing metal implants, and studying how bone cells respond to these materials in vitro. Other directions connect natural medicinal compounds with drug-delivery vehicles and investigate microwave and plasma processing. The work combines chemistry, materials science, and biomedical engineering around a practical design challenge: controlling both the physical structure of an implant and the biological response at its surface.

Bone scaffoldsBiomaterials3D printing
Portrait of Tanya FurmanIndependently curated · Unclaimed
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Tanya Furman Research Group

Penn State (Main campus)

Tanya Furman · Research Professor

How does large-scale mass transfer occur between deep and shallow regions of the mantle during rifting and plume-related events? Research in East Africa, Turkey and Saudi Arabia explores geochemical consequences of lithospheric delamination associated with slab rollback and breakoff. Research throughout the East African Rift System evaluates continental break-up and initiation of oceanic rift segmentation using structural and geochemical evidence. The group combines field work, geochemical analysis and microanalysis of mineral textures and compositions to determine thermal, chemical and physical properties of eruptive systems. Ongoing projects include deciphering lithospheric metasomatic history beneath the African Western Rift and the origin of large basalt flows in Iceland.

geochemistryigneous petrologymantle evolution
TJIndependently curated · Unclaimed
Computer Science & Engineering↗

Tao Ju Research Group

Washington University in St Louis

Tao Ju · Professor, Computer Science & Engineering

How can robust algorithms convert raw 3D scan data into accurate surface models for complex shapes used in graphics and analysis? The lab develops algorithms for 3D surface modeling funded by an NSF grant to create more reliable surface representations. Researchers apply 3D imaging and measurement methods to quantify sorghum panicle traits that were previously unmeasured. The group designs biomedical image analysis techniques to extract structural information from medical images for computational analysis. The researchers combine computer graphics, vision and imaging methods to build tools for visualization and quantitative analysis.

Showing 457–480 of 541 labs