Research Labs

The lab focuses on the domain of applied electromagnetics with applications ranging from developing biomedical devices to designing antennas for various wireless systems. Research topics include:

• Microwave ablation and monitoring
• Self-interference cancellation techniques for in-band full-duplex communications
• Adaptive phased-array antennas for beam-steering applications
• Reconfigurable multi-beam antennas for millimeter-wave communications

The Applied Optics Lab aims at:

1. Optical system (imaging and non-imaging) design and modeling, tolerance analysis, and system optimization to improve design for manufacturability.
2. Design and fabrication of electro-optic polymer integrated circuits for chemical/biological sensors and optical current sensors (OCS) for smart grid electric distribution system.

The lab focuses on design and development of advanced communication techniques to provide efficient and robust information transmission over wired and wireless networks. Working in concert with academia and industry partners, CSPL is dedicated to research in coding and information theory; aerial communication and networks; drone system design and applications, especially in emergency response; and wireless sensor networks.

The lab focuses on research in the areas of statistical signal processing, machine learning, real-time embedded systems, and wireless sensor networks with applications in wireless localization and tracking, environmental monitoring, cyber-physical systems, Internet of Things, and artificial intelligence. The overarching goal of our research is to solve real-life system-level challenges through theoretical research in signal processing and machine learning, networking protocol design and analysis, and practical system developments with hardware and software implementations.

The lab focuses on the application of information theory to communications, networking, privacy, security and storage. Current research interests include private information retrieval, index coding, optimality of treating interference as noise, topological interference management, and interference alignment.

The lab focuses on fundamental algorithm development at the forefront of machine learning seeking efficient and accurate solutions based in traditional optimization, signal processing and control theory techniques. Current research topics include:

• Classification and Identification
• Image Compression
• Image Super Resolution
• PCA Applications
• STEM Outreach

The lab focuses on information assurance, decision making and video communications aspects in autonomous systems, such as unmanned aerial vehicles (UAVs). This laboratory consists of infrastructure and simulation tools necessary to develop protocols for autonomous systems and to analyze their performance. The laboratory has several UAVs that are being used to develop and test decentralized decision-making and task-scheduling algorithms. The laboratory's infrastructure includes computing and networking equipment suitable for simulating civilian and military applications.

The lab focuses on the advancement of control theory and technology with applications to intelligent and autonomous systems. Current research topics include control systems with time delay, unmanned aerial vehicles, deep reinforcement learning based control, and active magnetic bearings.

The lab integrates environmental modeling, real-time monitoring, and renewable power systems for applications to sustainability. Research topics include food-energy-water nexus, sustainable brackish water desalination systems, land-use change, landscape dynamics, and forest ecology, coupled human-natural systems, watershed and reservoir management, wireless sensor networks and environmental observatories, and global climate change.

The lab focuses on fundamental algorithm development at the forefront of machine learning seeking efficient and accurate solutions based in traditional optimization, signal processing and control theory techniques. Current research topics include:

• Classification and Identification
• Image Compression
• Image Super Resolution
• PCA Applications
• STEM Outreach

The lab focuses on developing effective power electronics technologies to improve the generation, conversion, and control of electrical energy in smart cities and sustainable energy applications. Research topics include wide-bandgap semiconductor applications, renewable energy conversion technologies, smart grids, distributed energy systems, and electric vehicle grid integration.

The Analog/Mixed-Signal Design and Simulation Lab focuses on design and simulation of analog/mixed-signal AMS) integrated circuits (ICs) for multimedia and IoT security applications. Research topics include:

• Surrogate modeling (metamodeling) of complex IC functional design units
• Hardware/software co-design of secure multimedia digital systems
• High-level behavioral simulation of AMS ICs
• Hardware design of Physically Unclonable Functions (PUFs)
• Embedded system design for the IoT

The lab focuses on emerging devices from low-dimensionality solid-state materials.  Research topics include but are not limited to:

• Low-power nanoelectronic devices and circuits
• Photodetectors and optoelectronic devices
• Flexible and printed electronics
• Physical sensors and sensor arrays
• Synthesis of semiconducting selenides and sulphides
• Nanofabrication

The lab provides infrastructure for electronic design automation, including several workstations with the latest Electronic Design Automation (EDA) software, enabling design and simulation of a range of electronic chip designs. Students have access to EDA software including Cadence, Synopsys, and Xilinx design tool suites. The laboratory supports high quality research activities related to digital design, reconfigurable computing, FPGAs, ASICs, VLSI design, electronic design automation, SoC design, portable computing, and wearable computing.