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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.
About listings, corrections, and removal ↗541 research-led lab profiles
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Independently curated · UnclaimedPedro F. Felzenszwalb Research Group
Brown University
Pedro F. Felzenszwalb · Professor of Engineering and Computer Science
How can algorithms detect and localize people and objects robustly in natural images with deformations and occlusions? The lab developed and evaluated a deformable part model for person detection in benchmark challenges to improve object localization under variation. Researchers design and analyze algorithms connecting computer vision with optimization and statistics to enable reliable image restoration and segmentation. The group implements method combinations from machine learning, signal processing and natural language processing to address mid- and high-level vision tasks. The team releases papers, talk slides and code to document methods and reproducible evaluations.
Peggy O'Day Research Group
University of California, MercedPeggy O'Day · Professor of Life and Environmental Sciences
A contaminant’s chemical form helps determine where it travels and how it affects living systems. Peggy O’Day studies metals and metalloids in surface and subsurface environments, using spectroscopy and microscopy, particularly synchrotron X-ray methods, to identify molecular reaction mechanisms. Her research combines these observations with thermodynamic, kinetic, and reactive-transport models. Projects include mercury chemistry, mineral surfaces, airborne particles, uranium reactions, and soil remediation. The work connects molecular-scale geochemistry with environmental transport, bioavailability, and approaches to managing contaminated soils and sediments.
Independently curated · UnclaimedPeter A. Troch Research Group
University of ArizonaPeter A. Troch · Professor and Department Head
What controls hydrological partitioning across scales in catchments and how can that inform water predictions in ungauged basins? The Surface Water Hydrology Group conducts in-situ data collection and field and laboratory experimentation to characterize hillslope and catchment hydrology. The group applies remote sensing and data assimilation to develop physically-based models for predicting seasonal to decadal water availability in semi-arid basins. Researchers use process-based modeling and analysis of hydrological similarity to improve mountain block recharge estimates and catchment classification in ungauged areas. The team works on improving the physical basis of operational flash flood forecasting through measurement, modeling, and synthesis methods.
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.
Peter Hitchcock Research Group
Cornell University
Peter Hitchcock · Department Chair and Assistant Professor, Earth and Atmospheric Sciences
How does stratospheric variability influence surface weather and the global circulation on subseasonal to seasonal timescales? The Hitchcock Research Group uses dynamical models across a range of complexity and multiple observational datasets to study stratosphere–troposphere coupling. Researchers develop and analyze low-order analytical models and comprehensive climate/forecast models to investigate stratospheric vacillations, polar vortex disturbances, and easterly jet emergence. Projects include protocols for stratospheric nudging and studies of downward influence from sudden stratospheric warmings to quantify predictable surface impacts.
Independently curated · UnclaimedPeter Wipf Research Group
University of Pittsburgh-Pittsburgh campusPeter Wipf · Distinguished University Professor of Chemistry
Can novel synthetic and medicinal-chemistry methods yield small molecules that modulate challenging biological targets? The Wipf Group pursues total synthesis, strain-release and heterocyclic chemistry to access diverse scaffolds for biological testing. Medicinal-chemistry and structure–activity studies optimize small molecules as inhibitors or modulators of protein targets, including p97/VCP and PTP4A3, with the goal of generating probes and therapeutic leads. Collaborative translational projects apply these compounds in cancer, neurodegeneration, and radiation-mitigation studies.
Independently curated · UnclaimedPhilip Skemer Research Group
Washington University in St Louis
Philip Skemer · Professor
How do rocks deform under conditions of Earth’s plate boundaries while producing observable microstructures? The group performs rock deformation experiments that test sensitivity to temperature, pressure, grain size, composition, and strain to isolate deformation mechanisms. Researchers analyze micro- to meso-scale structures in naturally deformed rocks to assess deformation process importance and link experimental results to models. The group uses experimental data to parameterize and test rheological models of mantle and crustal materials for geodynamic modeling. Researchers combine experimental deformation, microstructural observations, and modeling to connect laboratory results to seismological and geologic observations.
PRACSYS Lab
Rutgers University–New Brunswick
Kostas Bekris · Professor, Department Chair
Robots must connect what they perceive with actions they can actually execute. Bekris’s PRACSYS Lab develops planning methods that bring perception, learning, and motion together. Research includes manipulating objects in clutter, coordinating multiple robotic arms, and addressing the dynamics of compliant or underactuated robots. Soft hands and tensegrity systems provide examples where physical behavior complicates control. The group investigates both practical performance and the conditions under which algorithms have useful properties, with applications spanning logistics, manufacturing, and service robotics.
Pranay Joshi Lab
The University of Alabama
PRanay Joshi · Assistant Professor
An illustrative lab studying how people interpret AI uncertainty and how reliable systems support better decisions.
Pruden Laboratory
Virginia Polytechnic Institute and State University
Amy Pruden · Professor
How do microbial communities in water and agricultural systems influence the spread of antibiotic resistance? The lab uses next-generation DNA sequencing and bioinformatics to track pathogens, resistance genes and functional bacterial groups. Research investigates antibiotic-resistance genes as environmental contaminants and examines the microbial ecology of drinking-water systems. Other directions include bioremediation and the environmental effects of nanotechnology. These approaches connect the composition and capabilities of microbial communities with engineering questions about water treatment, agricultural practices and environmental health.
Independently curated · UnclaimedPurushotham Bangalore Research Group
The University of AlabamaPurushotham Bangalore · James R. Cudworth Professor
Purushotham Bangalore's faculty-led research profile covers Cyber Security, Data Analytics, Distributed Systems, and High-Performance Computing.
Qian Wang Research Group
University of South Carolina-ColumbiaQian Wang · Carolina Distinguished Professor
Qian Wang’s research connects bioconjugation chemistry with biomedical materials and nanoscale biological structures. One direction modifies and uses virus nanoparticles, treating their organized scaffolds as platforms that can be chemically engineered for new functions. Work also investigates virus-based scaffolds for immunotherapy. These projects bring organic chemistry, biology, and material design together around the task of attaching useful molecular features to structured biological objects. The program offers a connection between molecular modification and biomedical applications, exploring how naturally organized nanoscale systems can be repurposed through chemical design.
Quantum Technology and Metamaterials Laboratory
Florida International University
Aleksandr Krasnok · Assistant Professor
Krasnok investigates how engineered structures control interactions between electromagnetic fields and matter. His Quantum Technology and Metamaterials Laboratory spans radio frequencies through optical wavelengths, connecting complex-frequency electrodynamics with quantum photonics, interfaces, and control. Research also addresses metasurfaces, sensing, wireless power transfer, and unusual light-scattering behavior. The group aims to connect fundamental physical concepts with devices for communication, computation, and measurement. For prospective researchers, this offers a concrete intersection of theoretical electrodynamics and engineered hardware, where carefully designed material structures can change how waves propagate and interact.
Rachel A. Whitmer Research Group
University of California, Davis
Rachel A. Whitmer · Professor, Med: Public Health Sciences
How do lifecourse factors and vascular risks contribute to dementia and cognitive decline in diverse older adults? The group conducts epidemiologic cohort studies including the oldest-old and multiethnic cohorts to measure dementia, mild cognitive impairment, and brain pathology. Researchers lead NIH-funded studies (R01, RF1) investigating lifecourse health, cerebral pathology, and ethnic disparities such as the KHANDLE and LifeAfter90 cohorts. The team examines vascular contributions, glycemia, adipocytokines, and Type 1 Diabetes as predictors of late-life cognitive health using longitudinal clinical and biomarker data. They use neuroimaging and neuropathology assessments within the UC Davis Alzheimer's Disease Research Center to link imaging biomarkers with cognitive outcomes.
Independently curated · UnclaimedRachel Mandelbaum Research Group
Carnegie Mellon University
Rachel Mandelbaum · Professor and Department Head
How can improved analysis methods extract cosmological information from large imaging surveys with minimal bias? The group develops and applies weak gravitational lensing and related analysis techniques to measure cosmic shear and galaxy properties from survey data. Current projects focus on Hyper Suprime-Cam data and preparations for Rubin Observatory LSST and the Roman Space Telescope, developing methods for shear estimation, PSF systematics removal, and redshift distribution inference. Researchers design generative and machine-learning approaches for galaxy morphology and ensemble redshift estimation to enable precision cosmology with upcoming wide-field surveys.
Rad Lab
Northeastern University, US
Tina Eliassi-Rad · Inaugural Joseph E. Aoun Professor
What can networks reveal about patterns hidden in large collections of connected data? The group works at the intersection of data mining, machine learning and network science, developing algorithms for analyzing physical and social phenomena. Applications of this research include fraud detection, cyber situational awareness, drug discovery and online discourse. The program also investigates ethical questions in machine learning and AI. Its algorithms have been incorporated into graph-analysis systems and open-source software, linking theoretical and algorithmic research with practical uses of networked data.
Radhakrishna Sureshkumar Research Group
Syracuse University
Radhakrishna Sureshkumar · Distinguished Professor
Radhakrishna Sureshkumar investigates how complex fluids acquire their structure and how that structure changes their motion and rheology. His research connects soft matter with the nanoscale engineering of functional materials and interfaces. Work on polymeric solutions examines flow behavior relevant to applications such as more efficient oil extraction. More broadly, the program bridges chemical engineering, mathematical and numerical analysis, and material physics. It offers a way to study how microscopic organization produces observable flow properties and how those relationships can guide the design of useful materials.
Independently curated · UnclaimedRadhika Atit Research Group
Case Western Reserve UniversityRadhika Atit · Professor
How do lipid changes influence skin fibrosis and cranial bone growth during development and disease? The laboratory uses mouse genetic tools to test functional mediators of lipid depletion during skin fibrosis. Researchers use mouse genetics to study regulators of craniofacial bone growth and identify molecular mediators affecting skull development. Experimental approaches combine genetic manipulation and phenotypic analysis to link lipid metabolism with tissue fibrosis and bone formation. Projects aim to reveal fundamental developmental mechanisms relevant to skin and skull bone diseases by interrogating gene function in vivo with targeted genetic models.
Independently curated · UnclaimedRaheem A. Beyah Research Group
Georgia Institute of TechnologyRaheem A. Beyah · Provost & Exec VP for Acad Aff Endowed Chair and Professorships Titles Southern Company Chair
How can cyber-physical systems be protected from coordinated attacks that exploit both network and physical dynamics? The Cyber-Physical Security Lab develops detection and mitigation methods for attacks on critical infrastructure and embedded systems. The group studies privacy, network monitoring, and performance trade-offs to detect anomalous behavior in real-time systems. Researchers use systems-level experiments and monitoring tools to evaluate resilience and recovery mechanisms. The team applies these methods to industrial control and networked devices to improve operational security.
Ram B. Gupta Research Group
Virginia Commonwealth University
Ram B. Gupta · Professor
A battery research question can start inside the factory: how does making an electrode material differently change the battery that follows? Gupta researches batteries, electrochemistry, sustainable energy, and biofuels. VCU has described his collaboration on new ways to synthesize lithium-ion cathode materials, linking reactor and manufacturing design with battery durability, cost, and safety goals. His broader interests also include supercritical extraction and biomaterials. For prospective researchers, the distinguishing connection is between chemical processing and energy materials, with manufacturing methods treated as part of the scientific problem rather than an afterthought.
Independently curated · UnclaimedRam Dixit Research Group
Washington University in St LouisRam Dixit · George and Charmaine Mallinckrodt Professor; Professor of Biology; Chair, Department of Biology
How do cortical microtubule arrays form and guide directional cell expansion in plant cells? The group investigates cortical microtubule organization using single-molecule imaging, live-cell imaging, molecular genetics and computer simulations to connect molecular activities to cellular-level organization. Researchers study how microtubule-associated proteins such as SPIRAL2 stabilize microtubule minus ends and influence array dynamics through biochemical and structural approaches. The lab performs mechanochemical mapping of Arabidopsis primary cell walls using atomic force microscopy–infrared spectroscopy to relate wall mechanics to growth patterns. Ongoing projects include multiscale studies of epidermal coordination during chiral root growth to link tissue-scale symmetry breaking to cell mechanics.
Independently curated · UnclaimedRamani Narayan Research Group
Michigan State University
Ramani Narayan · University Distinguished Professor Chemical Engineering and Materials Science
Can polymeric materials from renewable resources be engineered to be biodegradable and industrially manufacturable? Researchers develop biobased and biodegradable polymer systems and study their degradation behaviors under environmental conditions. The group uses reactive extrusion processing to translate laboratory polymer formulations to commercial-scale manufacturing of greener products. Scientists design interpenetrating polymer networks derived from silylated soybean oil combined with water-soluble polysiloxanes for tunable material properties. Work includes engineering natural-synthetic graft and block copolymers and recyclable biobased composites for sustainable material applications.
Independently curated · UnclaimedRamesh Karri Research Group
New York University (NYU)
Ramesh Karri · Professor, Electrical and Computer Engineering
Can hardware and chip-design workflows be made resilient to malicious modifications introduced during design or by AI assistance? The group studies trustworthy hardware and develops security-aware CAD, verification, and metrics to detect and prevent hardware Trojans and other tampering. Researchers ran an AI Hardware Attack Challenge and analyzed how large language models can be used to insert exploitable hardware modifications, documenting attack mechanisms and mitigations. The team investigates AI-orchestrated malware and defenses, exemplified by research on autonomous LLM-orchestrated ransomware prototypes. They also co-lead platform efforts to accelerate privacy-preserving cryptographic hardware design and shared chiplet libraries to improve secure hardware prototyping.
Raymond M. Hozalski Research Group
University of Minnesota
Raymond M. Hozalski · Professor, Department of Civil, Environmental, and Geo-Engineering
How do biofilms' mechanical properties influence their formation, control, and removal in engineered water systems? The Hozalski Research Group studies biofilms in water distribution systems, biologically-active filters, and membrane biofouling through targeted experiments. Researchers measure and manipulate biofilm mechanical properties using lab experiments, pilot-scale treatment systems, and field sampling to understand structure and function. Molecular biology techniques such as quantitative real-time PCR and DNA sequencing are used to quantify microbial communities and detect opportunistic pathogens. The group also investigates natural organic matter composition and its reactivity to evaluate effects on water treatment and drinking water quality.
Showing 385–408 of 541 labs