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Faculty & Research
Our faculty perform cutting-edge research in a wide variety of areas and are recognized worldwide for their discoveries. McKelvey Engineering faculty also collaborate with faculty in other departments and other schools within the university on numerous interdisciplinary research projects.
Research by the numbers
of Engineering faculty have received the NSF CAREER Award
total research expenditures (FY22)
of undergraduate students conduct research or independent study
“Context-Aware Visual Analytics Systems: Evolving the One-Size-Fits-All Approach to Design and Evaluation”
“Wastewater Counts: Real-time de facto Population Estimation for Quantitative Wastewater-based Epidemiology”
“Abiotic degradation of emerging RNA interference pesticides”
“Analytical Investigation of the Spatiotemporal Heterogeneities in Particulate Porous Electrodes toward Precision Electrochemical Kinetics”
“Understanding thermal phase change processes in metallic additive manufacturing”
“Reconciling Model-Based and Learning-Based Imaging: Theory, Algorithms, and Applications”
“Relational Generalization in Integrated Learning and Reasoning”
|I-Ting Angela Lee
“A Task-Parallel Platform for Interactive Applications”
|Xuan 'Silvia' Zhang
“Neural Network-Inspired Information Processing Beyond the Binary Digital Abstraction”
“Dynamic characterization of acoustofluidic devices using living probes”
“Boosting scientific discovery through intelligent experimental design”
“Controlling Low Temperature Plasma Activation”
“Adversarial Artificial Intelligence for Social Good”
"Nanoscale sensing and imaging using computational single-molecule nanoscopy"
"System Theoretic Methods for Understanding the Dynamics of Cognition"
"Laboratory Studies on the Chemical Characterization of Atmospheric Emission Sources and their Oxidative Evolution using Novel Instrumentation"
"Decentralized Constraint-Based Optimization for Multi-Agent Planning and Coordination"
"From Cradle to Grave: Radiative Properties of Biomass Burning Aerosols"
"Neural Dynamics, Olfactory Coding and Behavior"
"History-dependent cell motility in heterogeneous micro environments"
"Synthetic regulatory systems for dynamic metabolic pathways"
“Plasmonic Nanoclusters with Built-in Artificial Antibodies for Label-free Biosensing”
"Extraordinary Enhancement of Optical Nonlinearity in Subwavelength Metal-Nonlinear Dielectric Gratings"
"Provably Good Concurrency Platforms for Streaming Applications
"Looking Glass: Leveraging Mentor Interactions to Create Personalized Programming Help for Independent Learners"
"Understanding CO2-Fluid-Mineral Interfacial Reactions for Sustainable Geologic CO2 Sequestration: An Integrated Research & Education Plan"
"Efficient, Secure and Robust Control of Cyber Physical Systems"
"Development of 13C-assisted Metabolic Flux Analysis Tools for Metabolic Engineering of Cyanobacteria"
"Real-Time Detection, Monitoring and Characterization of Single Nanoparticle/Bioaerosol Using On-Chip Resonators"
"Reconstructing Geometrically and Topologically Correct Models"
"Multi-functional materials for electrochemical energy conversion"
"Ensemble Control with Applications to Spectroscopy, Imaging and Computation"
"RF-Sensing Networks for Radio Tomographic Environmental Imaging"
"Interfacial Reactions Affecting Heavy Metal Fate and Transport: An Integrated Research and Education Plan"
"Development of a Structurally Based Plastic Flow Model to Enhance the Utilization of Bulk Metallic Glasses"
"Time and Event Based System Software Construction"
"Adaptive Quality of Service Control in Distributed Real-Time Embedded Systems"
"New Technologies for Biosequence Comparison"
"Prediction and Control of Nonlinear Oscillations: Applications to Mechanical and Cardiac Dynamics"
Strategic research areas
McKelvey Engineering is leading in these areas of research:
- AI and Machine Learning
- Cyber-physical Systems
- Imaging Sciences
Inside the research
McKelvey Engineering faculty members Barani Raman, Srikanth Singamaneni and Shantanu Chakrabartty are conducting research that could turn locusts into bomb-sniffing cyborgs.
Engineering Research News