Faculty

Cyber-physical Systems, Learning, Optimization

Nanoelectronics; Physics, Technology, and Applications of Low-Dimensional Nanomaterials; 2D Materials and their Heterostructures; Bioelectronics; Quantum Electronics; Ultra-Low Power Devices, Circuits and Sensors

Dr. Ben-Yaacov runs the Electrical Engineering Senior Capstone Projects Program, and teaches a variety of courses in topics including semiconductor devices and fabrication, electricity and magnetism, and freshman design projects. His research focuses on design and implementation of novel curriculum and teaching methodologies in STEM fields. Other research and professional interests include product design and project management, embedded systems, power electronics, and intellectual property (patents and trademarks/branding).

Optical Communications and Networks, Optical Packet Switching, Ultra-Low Linewidth Lasers, Ultra Low Loss Waveguide (ULLW) Platform and Devices, Photonics for Atomic and Quantum Systems, Integrated Optical Gyros, Ultrafast Optical Signal Processing, Photonic Integration in InP, SiPh/InP and Silicon Photonic and Nano-photonic Device Technologies

Photonic Materials, Devices, Systems and Networks with an emphasis on Silicon Photonic Integrated Circuits (PICs) for applications in data centers, telecommunications, sensing and quantum computing and communications

VLSI Design and Architecture, System Level Tools and Specification, Electronic Design Automation, Low-Power Sigma-Delta Control and Signal Processing

High-speed Mixed-signal Circuits, RF and Millimeter-wave Integrated Circuits and Systems, Photonics, Optoelectronic Interfaces, CMOS and III-V ICs

Robot Locomotion and Manipulation, Machine Learning, Human-Robot Collaboration, Autonomous Systems, Dynamics and Control

Nanoelectronics, Spintronics, Emerging Technologies for Computing, Digital and Mixed-signal VLSI, Neuromorphic and Probabilistic Computing, Quantum Computing, Hardware Acceleration

Fast Algorithms for Partial Differential Equations, Signal and Image Processing

Design, Fabrication, and Modeling of Photonic Integrated Circuits; Ultra-fast Electro-optic Modulators; WDM Components; Photonic Nanostructures, Novel Photonic Materials

Wide Bandgap Semiconductor Optoelectronics and Electronics

Agent Learning and Reinforcement Learning Lossy Source Coding, Information Theoretic Signal Processing, Voice and Video Compression, Multimedia over Networks, Wireless Communications

Hybrid and Switched Systems; the Modeling and Control of Communication Networks; Distributed Control over Communication Networks (also known as networked control systems); the Use of Vision in Feedback Control; Game Theory; and Stochastic Modeling in Biology

Electrical Engineering Senior Capstone Projects Program. Research and teaching interests include: Low power hardware design, Multi-antenna wireless communications, Transmit beam forming, Vector quantization, Performance analysis,  Mobile embedded systems

Machine Learning, Ethical AI, Responsible Computing, Information Theory, Large-scale Distributed Computing

Integrated Circuits and Systems, Memory-Centric Computing, Analog Mixed-Signal and Digital VLSI, Hardware Accelerator, Alternative Computing, Brain-Inspired and Neuromorphic computing, Machine Learning Hardware, Design Automation

Integrated Photonics; Silicon Photonics; Optical Communications; Nanophotonics; Microwave Photonics; Compound Semiconductors; Photonic Integration Techniques; and Electronic-photonic Integration

High-Resolution Imaging Techniques; Microwave, Acoustic, and Ultrasound Imaging Systems; Medical Imaging Devices; Distributed Sensing and Imaging Networks

Integrated Circuits and Systems, Brain-Inspired Computing, Machine Learning Enabled Electronic Design Automation, Hardware Machine Learning Systems, Robust Machine Learning

Next-generation Communication, Sensing and Inference Infrastructures centered around Millimeter Wave Systems; Signal Processing Algorithms; Robust Machine Learning

Image Informatics

Convex and Combinatorial Optimization, Robotics, Motion Planning

Game Theoretic Methods for Coordination of Large Scale Distributed Systems

Geometric Statistics, Geometric Deep Learning, Topological Deep Learning, Equivariant Deep Learning, Shape Analysis, Computational Medicine, Theoretical Neuroscience, Computational Neuroscience

Physics and Technology of Devices Based on Wide Bandgap Materials. Applications: Engineering materials properties, Microwave Electronics, Power Electronics, Opto-electronics and Sensing

Quantum Photonics and Optoelectronics; Integrated Photonics; Quantum Computing, Communications, and Networks; Hybrid Quantum Systems; Quantum Dots; 2D Materials

RF Sensing and Learning, Communication-Aware Robotics, Next-generation Communication, Vision, Robotics

Quantum and Topological Materials, Materials for Quantum Information Systems, Spintronics, Metallization of Semiconductors, Thin Film Analysis, Dissimilar Materials Epitaxial Growth, and Molecular Beam and Chemical Beam Epitaxial Growth of Metallic Compounds, Heusler Compounds, Functional Materials, Magnetic Materials and Compound Semiconductors

Computer Arithmetic, Parallel Processing, Dependable Computing, Computer Architecture

Machine Learning, Information Theory, Human-Cyber-Physical Systems, Stochastic Networks

Machine Learning, Computer Vision, Multi-modality Modeling, Robustness in Healthcare

nm and THz electronics: THz Transistors, nm VLSI Transistors VLSI, 100-1000GHz RF/Wireless ICs, beyond-5G-wireless, ICs for fast Optical Fiber Communication

Information Theory, Source Coding and Networking, Distributed Coding, 360-degree Video Coding, 3D Audio Coding, Pattern Recognition and Machine Learning, Nonconvex Optimization

Power Management Integrated Circuits including Energy Harvesters and RF Supply Modulators, RF Power Amplifiers, Low-power Mixed-signal Circuits with focus on New Architectures for Analog/Digital Circuits

Optoelectronic/Electronic Integration and Co-design, Photonic Switching, Equalization Techniques for High-speed Optical Links, Optoelectronic Devices, Integrated Transceiver Packaging

Nanophotonics, Plasmonics, Metamaterials, Photovoltaics, Organic Semiconductors, and IR Spectroscopy

Computer Graphics, Imaging, Computer Vision

Optics, Imaging, Neural Circuitry, Machine Learning, Optical Computing

Solid-State Nanoionics, Emerging Electron Devices and Circuits, Non-Volatile Memories, Neuromorphic Computing

Development of Feedback Control Algorithms for Nonlinear and Hybrid Dynamical Systems

Low-Power Analog VLSI, High Speed Electronics for Photonics, Biomimetic Nanosystems, Neural Prostheses, Biosensors, Block Polymer Synthesis, Self-Assembly, and Microfabrication

Development and application of innovative New Computational, Artificial Intelligence, and Data Science Tools to bridge information between the Atomic and Cellular Scales, covering more than six orders of magnitude from Ångstroms to tens of microns.

Artificial Intelligence for Design and Test, Data Analysis, Machine Learning

Technology Management, High Frequency Electronics, Novel Electronic Materials, High-speed Devices, Complex Circuits, Sub-systems

Information Theory, Machine Learning Theory, Distributed Computing

Electronic and Photonic Design Automation; Mathematical Data Science; Uncertainty quantification: Tensor-based Machine Learning and Hardware