/College of Engineering and Applied Sciences
Electrical and Computer Engineering

Research Overview

The Department of Electrical and Computer Engineering at Stony Brook University is engaged in a broad range of research that advances both fundamental science and real-world engineering solutions. Our work spans theory, design, and application across interconnected areas of computing, communication, energy, and intelligent systems. 

$X+M Research Funding

Supported by federal agencies, industry, and institutional grants.

35+ Research Faculty Members

Active researchers across core and emerging ECE fields.

30+ Research Laboratories

Dedicated spaces for ECE students for innovation, prototyping, and experimentation.


Research in the department is presented through interconnected areas that highlight key themes and activity across the field, provide insight into individual faculty expertise and specialized directions, and showcase the laboratories and collaborative environments where much of this work is carried out. Together, these resources offer a comprehensive view of the department’s research ecosystem and the people and facilities driving it forward.


Faculty Research Interests

Statistical signal processing, with emphasis in the topics of Bayesian analysis, Sequential Monte Carlo methods, Adaptive filtering, Stochastic optimization and their applications to multiuser communications
smart antenna systems, Target tracking and vehicle positioning and navigation.

Integrated fiber optics, Fiber optic biosensors; optical signal processing; photon correlation spectroscopy; inverse problems.

Signal analysis, modeling, and processing; Monte Carlo methods; wireless communications and sensor networks.

CAD for electronic circuits and systems; specification, modeling, and synthesis of analog and mixed-signal circuits; Cyber-Physical and embedded (hardware-software) systems; methodologies for innovation in electronic design. 

Design of barrier photodetectors, integration of photodetector arrays with front end electronics.

Parallel computer architecture; high-performance systems design; superconductor processors.

Semiconductor devices, including microwave and optoelectronics.

Low-power VLSI design of multimedia wireless communications and digital signal processing systems, including SOC design methodology and optimization.

Solid-state devices and circuits; microwave devices; integrated circuits.

Cyber physical systems, Wireless networks, Networked information systems, Sensing systems.

Distributed control and computation, multi-agent systems, social networks, epidemic networks, and power networks.

Power Electronic Converters and Systems, Power Module Packaging, EMI Modeling and Mitigation in Power Electronics Systems.

Automatic hardware generation and optimization tools; Domain-specific languages for hardware; Field-programmable gate arrays (FPGAs); Hardware for signal processing, communication systems, computer vision, and other areas.

Microwave acoustics; microwave magnetics; microwave electronics.

Big data performance evaluation, exa- and peta-scale computing, scheduling, quantum computing, machine learning performance evaluation.

Nanoscale integrated circuit design; emerging technologies for future electronic systems, highly heterogeneous integrated systems, digital and mixed signal circuits. 

Control Theory & Systems, Energy Systems, and Industry/University Partnerships. 

Digital system design; embedded microprocessor systems; instrumentation. 

High power and high speed light emitters, carrier dynamics in nanostructures, molecular beam epitaxy.

Analog and Digital VLSI circuits and systems, autonomous adaptive microsystems, real-time source localization and separation, micropower implantable biomedical instrumentation and telemetry. 

Computer vision; image processing.

Design and development of optoelectronic devices. Far- and Mid-infrared spectroscopy of solids. Physics of semiconductors and nanostructures. 

Parallel and distributed processing; massively parallel systems; computer architecture; neural networks. 

Mobile and ubiquitous computing; Wireless Networking and systems. 

Design and characterization of high-performance mid-infrared semiconductor light sources (LEDs and lasers). 

Data center networking, cloud computing, edge computing and wireless networks. 

Mobile and embedded sensing systems and applications, location based services, edge computing, Internet-of-Things, sensor networks, energy and power efficiency.

Power and Energy, Quantum Engineered Resilient Grids,  AI-Enabled Smart Grids, Formal Methods & Reachability, Cybersecurity, Stability, Microgrids & Networked Microgrids, Software-Defined Smart Grids, Renewable Energy Integration. 

Smart energy systems, renewable energy integration, electricity market, infrastructure security, sensing and signal processing, optimization theory, information theory, communication networks. 

Power system dynamics and stability, inverter-based resources, renewable energy, verifiable smart grids, machine learning in smart grids, quantum computing.