Research Groups by Area

Far-Infrared and Terahertz Research Laboratory​ - Prof. Robert Weikle

Our research is focused on developing device, circuit, and instrumentation technologies that provide scientists and engineers with access to the region of the electromagnetic spectrum that bridges electronics and photonics.

Energy Science and nanotechnology laboratory - Prof. Mona Zebarjadi

Energy Science Nanotechnology and Imagination Lab is directed by Mona Zebarjadi, a joint professor of Electrical and Computer Engineering and Materials Science Engineering at University of Virginia. We are interested in designing materials with altered thermal and electrical properties and new hybrid energy conversion devices. The main applications are in thermal management, semiconductor devices and energy...

Multifunctional Thin Film Group - Prof. Jon Ihlefeld

The Multifunctional Thin Film Group aims to develop new understanding of how processing and integration affects materials electronic responses and how to leverage this understanding to realize new functionality and unique devices.

Virginia Nano-Computing Group - Prof. Avik Ghosh

At the Virginia Nano-Computing Research Group, our focus is on understanding non-equilibrium properties of nano-scale material structures. Our work applies a combined understanding of fundamental physics , chemistry, material science, and device engineering to explore novel device concepts.

Computing Hardware Research Lab (CHRL) - Prof. Nikhil Shukla

CHRL works at the intersection of beyond-CMOS solid state emerging devices and circuits to enable new efficient non-Boolean computing paradigms that can overcome the challenges of CMOS and digital computers.

Superconducting Devices and Materials Research Group - Prof. Arthur Lichtenberger

The SDMRG was once known as 'SIS' for its cutting edge research in the field of SIS (superconductor/insulator/superconductor) heterodyne mixers. In recent years, research within the SDMRG has expanded to include the investigation of materials, processing technologies and devices for a variety of superconducting circuits.

Integrated Electromagnetics, Circuits, and Systems (IECS) Lab - Prof. Steven M. Bowers

Our research focus is on integrated systems from microwave to THz, with applications in the Internet of Things (IoT), biomedical imaging, security and communication. By using various tools enabled by continued integration of systems onto a single semiconductor substrate in a tightly interconected co-design philosophy, new optimal solutions for existing applications, and even new application spaces become possible.

Micromachined RF Technology Group - Prof. N. Scott Barker

Our research focuses on the application of micromachining techniques to realize micromechanical and microelectromechanical systems for use in the development of millimeter-wave and terahertz circuits and components.

Photonic Devices Group - Prof. Joe Campbell    

The Photonic Devices Group focuses on developing novel optoelectronic devices with emphasis on photodetectors. The research projects tend to fall into two broad areas: high-sensitivity photodetectors, e.g., avalanche photodiodes and high-power photodiodes.

Microphotonics Group -  Prof. Xu Yi    

The microphotonics group focuses on the nonlinear optical studies of integrated microresonators. Two main areas include: microresonator-based frequency combs for mmWaves, spectroscopy, and astronomical applications, and quantum microcomb for quantum computation, information and sensing. 

High-Power Laser Processing and Photonic Device Group - Prof. Mool C. Gupta

Research is carried out in the area of high power laser applications for solar cell manufacturing, thermal solar, thermophotovoltaics,infrared radiation detection, quantum dots based solar concentrators, laser microtexturing of surfaces etc. An NSF supported Industry/University Cooperative Research Center for an application of lasers has been operating for the last sixteen years.

Optoelectronic Device Group - Prof. Andreas Beling

Research in the Optoelectronic Device Group at UVA is focused on photonic devices and integrated photonic technologies for optical communications, sensing, and the emerging field of microwave photonics. Recent work includes the development of high-power, high-speed photodiodes for photonic microwave generation, radar transmit and receive applications, and optical communications. Other projects are focused on design, fabrication, and characterization of photonic integrated circuits on a silicon photonic-electronic platform. 

Thin-Film Device Lab - Prof. Kyusang Lee

Thin film device lab, directed by Prof. Kyusang Lee, is aiming to develop heterogeneous integration of the high performance flexible electronic devices which are fabricated by using the epitaxial lift-off (ELO) or remote epitaxy process. The thin film electronic devices can be applied to...

Virginia Nano-Computing Group - Prof. Avik Ghosh

At the Virginia Nano-Computing Research Group, our focus is on understanding non-equilibrium properties of nano-scale material structures. Our work applies a combined understanding of fundamental physics , chemistry, material science, and device engineering to explore novel device concepts.

Integrated Electromagnetics, Circuits, and Systems (IECS) Lab - Prof. Steven M. Bowers

Our research focus is on integrated systems from microwave to THz, with applications in the Internet of Things (IoT), biomedical imaging, security and communication. By using various tools enabled by continued integration of systems onto a single semiconductor substrate in a tightly interconected co-design philosophy, new optimal solutions for existing applications, and even new application spaces become possible.

Micromachined RF Technology Group - Prof. N. Scott Barker

Our research focuses on the application of micromachining techniques to realize micromechanical and microelectromechanical systems for use in the development of millimeter-wave and terahertz circuits and components.

Virginia Nano-Computing Group - Prof. Avik Ghosh

At the Virginia Nano-Computing Research Group, our focus is on understanding non-equilibrium properties of nano-scale material structures. Our work applies a combined understanding of fundamental physics , chemistry, material science, and device engineering to explore novel device concepts.

Photonic Devices Group - Prof. Joe Campbell    

The Photonic Devices Group focuses on developing novel optoelectronic devices with emphasis on photodetectors. The research projects tend to fall into two broad areas: high-sensitivity photodetectors, e.g., avalanche photodiodes and high-power photodiodes.

Virginia Nano-Computing Group - Prof. Avik Ghosh

At the Virginia Nano-Computing Research Group, our focus is on understanding non-equilibrium properties of nano-scale material structures. Our work applies a combined understanding of fundamental physics , chemistry, material science, and device engineering to explore novel device concepts.

Energy Science and nanotechnology laboratory - Prof. Mona Zebarjadi

Energy Science Nanotechnology and Imagination Lab is directed by Mona Zebarjadi, a joint professor of Electrical and Computer Engineering and Materials Science Engineering at University of Virginia. We are interested in designing materials with altered thermal and electrical properties and new hybrid energy conversion devices. The main applications are in thermal management, semiconductor devices and energy...

High-Performance Low-Power (hplp) Lab - Prof. Mircea Stan 

The High-Performance Low-Power (HPLP) Laboratory is dedicated to research in the areas of Artificial Intelligence (AI) hardware and edge IoT. Ongoing research spans a wide range of topics, from Processing-in-Memory (PiM), low-power hardware accelerator design, and Smart Dust, to explorations in spintronics and nanoelectronics.

Computing Hardware Research Lab (CHRL) - Prof. Nikhil Shukla

CHRL works at the intersection of beyond-CMOS solid state emerging devices and circuits to enable new efficient non-Boolean computing paradigms that can overcome the challenges of CMOS and digital computers.

Virginia Nano-Computing Group - Prof. Avik Ghosh

At the Virginia Nano-Computing Research Group, our focus is on understanding non-equilibrium properties of nano-scale material structures. Our work applies a combined understanding of fundamental physics , chemistry, material science, and device engineering to explore novel device concepts.

Robust Low Power VLSI - Prof. Benton H. Calhoun

The Robust Low Power VLSI Group, led by Professor Ben Calhoun, investigates research topics related to modern VLSI design. Among the many challenges facing circuit designers in deep sub-micron technologies, power and variation are perhaps the most critical. Our group's focus is to confront these...

Thin-Film Device Lab - Prof. Kyusang Lee

Thin film device lab, directed by Prof. Kyusang Lee, is aiming to develop heterogeneous integration of the high performance flexible electronic devices which are fabricated by using the epitaxial lift-off (ELO) or remote epitaxy process. The thin film electronic devices can be applied to...

Integrated Electromagnetics, Circuits, and Systems (IECS) Lab - Prof. Steven M. Bowers

Our research focus is on integrated systems from microwave to THz, with applications in the Internet of Things (IoT), biomedical imaging, security and communication. By using various tools enabled by continued integration of systems onto a single semiconductor substrate in a tightly interconected co-design philosophy, new optimal solutions for existing applications, and even new application spaces become possible.

Imaging and Data Science Lab - Prof. Gustavo Rohde

We build intelligent systems based on mathematical modeling of signal and image data, with applications in biomedicine, mobile and remote sensing. We specialize on objective and quantitative modeling of data from imaging and other types of sensors by incorporating knowledge from multiple disciplines including applied mathematics, signal processing, machine learning and statistics. Past and current work includes inverse...

Information Processing and Storage Lab (IPS) - Prof. Farzad Farnoud Hassanzadeh    

Our interests include information theory, bioinformatics/computational biology, and machine learning. The research in our lab gravitate towards problems that lie in the intersections of these areas, such as stochastic and information-theoretic modeling of DNA mutations, compression of biological sequences, and rank aggregation and its application to computational biology.

Virginia Image and Video Analysis Lab (VIVA) - Prof. Scott Acton

We concentrate on image analysis problems (tracking, segmentation, retrieval), with an emphasis on biological and biomedical image analysis. Check out our stuff!

Data Mining and Knowledge Discovery Lab - Prof. Jundong Li    

Our research is mainly focused on data mining, machine learning, and causal inference, and social computing. In particular, we are interested in developing innovative algorithms to glean actionable patterns from big, noisy, dynamic, heterogeneous, and networked data for decision making, and strive to address the pressing challenges in various high-impact domains, including social media, healthcare, online education, and industrial manufacturing.

Laboratory for Intelligent Communication and Networking (LICAN) - Prof. Cong Shen    

LICAN focuses on interdisciplinary research that spans wireless communications, wireless networking, machine learning, and statistical information processing. In particular, Our recent interests are on advancing future communication and networking systems that are designed by, and support for, edge intelligence and machine learning. 
 
Signal and Tensor Analytics Research (STAR) Lab - Prof. Nikos Sidiropoulos

The STAR lab focuses on research at the confluence of signal processing, optimization,  (multi-)linear algebra, and statistics. The lab is a hub of tensor and matrix factorization research, with applications in  communications, machine learning, and probability. Lab alumni work in academia (e.g., U. Florida-Gainesville), industry (e.g., Qualcommn, Ericsson, Amazon Research), and government research labs (e.g., NREL).

Optical Multiuser/Multichannel Communications Lab - Prof. Maite Brandt-Pearce 

Our society has come to depend on massive information on demand, and the transfer of this information is accomplished today using optical communications. The appeal of the optical medium for communications, its tremendous bandwidth, is only fully exploitable through multiplexing of many signals, in time, wavelength, or other domain. Our research explores the use of signal processing, communication theory, and optical techniques in designing high capacity optical multiuser/multichannel systems and networks. Current research topics include optical wireless and visible light communications, advanced modulation and coding for optical communication systems, and cross-layer design and optimization of optical networks.

Medical Image Analysis and Optimization - Prof. Miaomiao Zhang

Our lab focuses on developing computational models of image and shape analysis, with particular interests in medical and biological imaging. Beyond working at the interface of statistics, mathematics, and computer engineering to look for scientific solutions, we are taking the challenge to optimize such solutions in real clinical settings to maximally benefit human health.

Adaptive Systems and Control Group - Prof. Gang Tao    

Our research is focused on designing resilient control systems capable of maintaining desired performance in the presence of uncertain system faults such as actuator failures, structural damage and sensor failures. We are developing adaptive control techniques for compensation of uncertain actuator failures and nonlinearities, sensor uncertainties and failures, and uncertain structural damage in dynamic systems, for guaranteed feedback control...

Control Theory and Applications Group - Prof. Zongli Lin    

Our current research interests include nonlinear control, distributed control of multi-agent systems, constrained control, robust control, control of time delay systems, and control applications in active magnetic bearings and micro-grid.

Autonomous Mobile Robots Lab (AMR Lab) - Prof. Nicola Bezzo

Our research focuses on the design of assured and resilient autonomous systems. Research topics cover in our group include: 1) predictive and proactive planning and control of autonomous robotic systems in particular aerial, ground, and underwater vehicles, 2) fast runtime monitoring and reachability analysis against unforeseen disturbances and failures on autonomous systems, 3) assured autonomy, 4) attack-resilient control of robotic systems, 5) socially-aware motion planning, 6) mapping and localization; 7) coordination of multi-robot and heterogeneous robotic systems. The AMR Lab includes a state of the art facility with latest motion capture systems, and modern autonomous ground and aerial robotic systems with a complete sensor suite and latest generation computers and equipment for robotic experiments and simualtions.

Smart Fluid Systems - Prof. Daniel Quinn

Our group explores the space between Fluid Mechanics and Cyber-Physical Systems (CPS). Our current work focuses on 1) stiffness tuning in bio-inspired underwater vehicles, 2) near-boundary flight of Micro Aerial Vehicles, and 3) flow sensing and harvesting in the human airway. We’re discovering ways that fluid modeling can improve these systems and better integrate them into a smart and connected world.

Dependable Systems and Analytics (UVA-DSA) - Prof. Homa Alemzadeh

Our research focuses on design and validation of resilient Cyber-Physical Systems (CPS) with applications to medical devices, surgical robots, and autonomous systems. We take a multidisciplinary approach to safety and security assurance in CPS by leveraging techniques from dependable computing and fault-tolerance, machine learning, and real-time embedded systems. We develop data-driven methods, realistic testbeds, and simulation platforms for analysis of safety and security incidents, experimental assessment of system resilience against accidental and malicious faults, and runtime monitoring for detection and mitigation of adverse events.

Dependable Systems and Analytics (UVA-DSA) - Prof. Homa Alemzadeh

Our research focuses on design and validation of resilient Cyber-Physical Systems (CPS) with applications to medical devices, surgical robots, and autonomous systems. We take a multidisciplinary approach to safety and security assurance in CPS by leveraging techniques from dependable computing and fault-tolerance, machine learning, and real-time embedded systems. We develop data-driven methods, realistic testbeds, and simulation platforms for analysis of safety and security incidents, experimental assessment of system resilience against accidental and malicious faults, and runtime monitoring for detection and mitigation of adverse events.

Prof. Yixin Sun

Prof. Barry W. Johnson

Imaging and Data Science Lab - Prof. Gustavo Rohde

We build intelligent systems based on mathematical modeling of signal and image data, with applications in biomedicine, mobile and remote sensing. We specialize on objective and quantitative modeling of data from imaging and other types of sensors by incorporating knowledge from multiple disciplines including applied mathematics, signal processing, machine learning and statistics. Past and current work includes inverse...

Information Processing and Storage Lab (IPS) - Prof. Farzad Farnoud Hassanzadeh    

Our interests include information theory, bioinformatics/computational biology, and machine learning. The research in our lab gravitate towards problems that lie in the intersections of these areas, such as stochastic and information-theoretic modeling of DNA mutations, compression of biological sequences, and rank aggregation and its application to computational biology.

Virginia Image and Video Analysis Lab (VIVA) - Prof. Scott Acton

We concentrate on image analysis problems (tracking, segmentation, retrieval), with an emphasis on biological and biomedical image analysis. Check out our stuff!

Medical Image Analysis and Optimization - Prof. Miaomiao Zhang

Our lab focuses on developing computational models of image and shape analysis, with particular interests in medical and biological imaging. Beyond working at the interface of statistics, mathematics, and computer engineering to look for scientific solutions, we are taking the challenge to optimize such solutions in real clinical settings to maximally benefit human health.

Swaim Lab - Prof. Nathan Swami

The vision of biologically inspired systems has tremendously impacted materials and sensing paradigms, but challenges remain towards independently localizing and tracking disparate nanoscale biochemical events. Our group specializes in applying pulsed (us-ns) and radio frequency (10 kHz – 100 MHz) electric fields within micro/nanofluidic devices for spatial manipulation and temporal analysis of biosystems. Utilizing such fields, dipoles can be selectively induced onto particular regions of biological cells depending on their electrophysiology, onto nanostructures depending on their dielectric properties, and onto biomolecules depending on their conformation to enable their frequency-selective bio-manipulation, tracking and sensing.

Dependable Systems and Analytics (UVA-DSA) - Prof. Homa Alemzadeh

Our research focuses on design and validation of resilient Cyber-Physical Systems (CPS) with applications to medical devices, surgical robots, and autonomous systems. We take a multidisciplinary approach to safety and security assurance in CPS by leveraging techniques from dependable computing and fault-tolerance, machine learning, and real-time embedded systems. We develop data-driven methods, realistic testbeds, and simulation platforms for analysis of safety and security incidents, experimental assessment of system resilience against accidental and malicious faults, and runtime monitoring for detection and mitigation of adverse events.