Minjie Chen
Associate Professor of Electrical and Computer Engineering and the Andlinger Center for Energy and the Environment
Andlinger Center Executive Committee
Location: 217 Andlinger Center
Phone Number: 609-258-7656
Email Address: minjie@princeton.edu
Research Description:
Design of power conversion and management systems to address technical challenges with large social impacts. High performance power conversion systems for a wide range of applications, including smart grid, renewable generation, energy storage, telecom, data centers, electric vehicles, and robotics.
Research Areas: Energy Efficiency, Energy Storage, Energy Systems Analysis, Information Technology, Renewable Energy, Smart Grid, Solar, Transmission, Transportation, Wind
Michael Freedman
Professor of Computer Science
Location: 308 Computer Science Building
Phone Number: 609-258-9179
Email Address: mfreed@princeton.edu
Research Description:
IoT platforms and applications; energy-efficient; cloud and mobile systems; distributed systems and geo-replicated applications
Research Areas: Information Technology
Jürgen Hackl
Assistant Professor of Civil and Environmental Engineering
Andlinger Center Associated Faculty
Location: E322 Engineering Quadrangle
Phone Number: 609-258-5171
Email Address: hackl@princeton.edu
Research Description:
Dr. Hackl’s research focuses on complex infrastructure systems, intelligent risk and resilience assessments to climate change, as well as integrated solutions to future challenges facing our cities and society. His research interests lie at the interface between formal methods in network sciences and their integration with prevailing simulation methods, such as digital twins. He is particularly interested in developing scalable data analytics and machine learning techniques for spatial-temporal networks applied to dynamic processes in complex multiscale civil engineered systems to open and interconnect new perspectives for, e.g., modeling of usage, behavior, and performance; analysis of system integration; as well as detection of systemic risks in socio-technical systems. Another aspect of his work covers integrating these data-driven approaches with physics-based models to create digital twins that can learn from and update based on multiple data sources, as well as represent and predict the current and future conditions of their physical counterparts.
Research Areas: Behavior, Buildings, Economics, Impact of Energy & Land Use, Industrial Processes, Information Technology, Policy, Social Science of Energy & Environment
Ruby B. Lee
Forrest G. Hamrick Professor in Engineering, Emeritus
Professor of Electrical and Computer Engineering, Emeritus
Location: B218 Engineering Quad, B-Wing
Phone Number: 609-258-1426
Email Address: rblee@princeton.edu
Research Description:
Deep-learning based anomaly detection. Security of critical infrastructures and cyber-physical systems, including the powergrid. Security of processors, computers, controllers, smartphones, cloud computing, and IOT networks. Side-channel and covert channel attacks.
Research Areas: Energy Efficiency, Information Technology
Sharad Malik
George Van Ness Lothrop Professor in Engineering
Professor of Electrical and Computer Engineering
Andlinger Center Associated Faculty
Location: B224 Engineering Quad B-Wing
Phone Number: 609-258-4625
Email Address: sharad@princeton.edu
Research Description:
Design and programming of low-energy computing systems
Research Areas: Energy Efficiency, Information Technology
Margaret Martonosi
Hugh Trumbull Adams '35 Professor of Computer Science
Andlinger Center Associated Faculty
Location: 204 Computer Science Building
Phone Number: 609-258-1912
Email Address: mrm@princeton.edu
Research Description:
Energy-efficient computer servers, including optimization frameworks for improving green energy usage in multi-data-center internet services and power-performance optimizations for improving energy-proportionality within data centers
Research Areas: Energy Efficiency, Information Technology
H. Vincent Poor
Michael Henry Strater University Professor of Electrical and Computer Engineering
Andlinger Center Associated Faculty
Location: B330 Engineering Quad B-Wing
Phone Number: 609-258-1816
Email Address: poor@princeton.edu
Research Description:
Energy-efficiency in wireless networks; smart grid, Internet of Things, power system resilience
Research Areas: Energy Efficiency, Information Technology, Smart Grid, Transmission
Paul R. Pruncal
Professor of Electrical and Computer Engineering
Andlinger Center Associated Faculty
Location: B314 Engineering Quadrangle
Phone Number: 609-258-5549
Email Address: prucnal@princeton.edu
Research Description:
Research in my group, the Lightwave Communications Laboratory, is focused on investigating ultrafast optical techniques with application to communication networks and signal processing. My graduate students and I are working on several exciting and innovative research projects, which benefit from close collaborations with government and industrial research laboratories. A few examples of these projects are given below.
Physical (Optical) Layer Network Security:
Security in fiber optic networks is becoming of critical importance due to the nature and volume of the data that is transported. The optical layer of a network is itself vulnerable to attack by eavesdropping or jamming. My group is investigating several approaches using optical signal processing to counter these attacks, including optical steganography, all-optical encryption devices, anti-jamming techniques, and survivable network architectures.
Optical Code Division Multiple Access (CDMA):
Incoherent optical CDMA networks can offer several important system advantages that cannot be achieved with other multiplexing techniques such as TDM and WDM, including asynchronous access, soft blocking, privacy, scalability and variable quality of service. We are developing novel integrated technologies that will enable the realization of practical optical CDMA networks, which will be strong candidates for future broadband access networks.
Nonlinear Optical Signal Processing for Ultrafast Networks:
Based on nonlinear phenomena in semiconductor devices and nonlinear fibers, numerous optical signal processing functions can be achieved which can enhance the performance of ultrafast optical networks. We are studying novel devices and their applications, including optical thresholding, auto-correlation peak extraction, demultiplexing, physical layer security enhancement, and interferometric noise suppression
Optical Cancellation
of RF Interference:
Wireless communications systems often suffer from co-site interference, where the signal from a nearby transmission antenna interferes with simultaneously receiving a weak signal in a nearby frequency band. Multipath effects make this problem especially challenging. We are investigating optical and optoelectronic signal processing techniques to process RF signals from single antennas as well as phased arrays, enhancing their performance and enabling rapid reconfigurability.
The Photonic Neuron:
Using nonlinear optical and photonic materials, we have recently built a hybrid analog/digital signal processing device which performs all the functions of a physiological neuron, but one billion times fast. Our spiking neuron is faster and more efficient than a digital computer, and does not suffer from the noise accumulation of analog electronics. Using the photonic neuron, we are implementing sophisticated, ultrafast signal processing circuits and systems which emulate visual, auditory, and motor functions found in biological organisms.
With a high degree of interaction between government and industrial research laboratories, the Lightwave Communications Laboratory offers students an opportunity to be involved in the creation of technology for the next generation of optical signal processing, computing and communications systems. Please visit my lab website to find out more information about my group and our research, as well as to download a booklet containing some of our recent papers.
Research Areas: Computer Science, Information Technology
Jennifer Rexford
Gordon Y.S. Wu Professor in Engineering
Provost
Location: 222 Computer Science Building
Phone Number: 609-258-5182
Email Address: jrex@cs.princeton.edu
Research Description:
Software-defined networking, including techniques for improving the energy efficiency of information technology infrastructure
Research Areas: Energy Efficiency, Information Technology
David Wentzlaff
Professor of Electrical and Computer Engineering
Andlinger Center Associated Faculty
Location: B228 Engineering Quad
Phone Number: 609-258-7781
Email Address: wentzlaf@princeton.edu
Research Description:
Energy efficient design of computing architectures and software systems; green computing; minimization of computer systems’ environmental impact; sustainable service and decommissioning of computer components; biodegradable computers.
Research Areas: Energy Efficiency, Energy Systems Analysis, Information Technology, Sustainable Manufacturing/Chemistry