Electrical and Computer Engineering

Departmental Computer Facilities.  The Department of Electrical and Computer Engineering has three computer labs available at all times to students studying electrical and computer engineering. The EE103/EE105 computer labs have 63 PCs with two printers. Each PC has both Windows 10 and Linux operating systems. The EE219 VLSI computer lab is also open to all students at all times. The software installed on each computer includes PSpice for circuit design and simulation, Matlab for mathematical programming, Visual Studio for programming languages including C, C++ and Java. Microsoft Office is available for writing lab reports, homework, and research papers. VLSI design software from both Cadence and Synopsys is available on each computer for designing integrated circuits. The Eclipse software workbench with the Android software development kit is available for programming mobile apps on cellphones. National Instruments LabView with the modulation toolkit is installed for communications students to program software programmable radios.  More specialized instructional labs associated with the digital signal processing (DSP), virtual reality, and VLSI design classes also have dedicated computer lab rooms.

Computer Architecture Laboratory.  This laboratory consists of experimental stations that provide students with opportunities to gain experience with the internal workings of a microcomputer, learn assembly programming for a standard commercial microprocessor, and learn how to interface input/output memory, serial I/O, and parallel I/O chips to a standard microprocessor.

Electronics Laboratory.  This laboratory contains equipment for the study of solid-state devices and circuits. Experiments involve studies of biasing and low-frequency operations of discrete solid-state devices, frequency response, and the effect of feedback on single- and multistage BJT and MOSFET amplifiers. Further studies include OP-AMP parameters, frequency response, and OP-AMP linear and nonlinear circuits and systems. The laboratory is well equipped for a range of student projects in electronic circuit designs.

Power Electronics Laboratory.  This laboratory provides opportunities for students to gain hands-on experiences with devices and circuits used in power electronics applications. Students become familiar with the practical aspect of various topics including modern power semiconductor devices, power inductor design, thermal management methods, power rectification, and DC/DC converter design.

Software-Defined Radio Instructional Laboratory.  This laboratory is available for undergraduate and graduate instruction and special projects. National Instruments-funded software-defined radio stations operating Universal Software Radio Peripherals and LabView programming software provide flexibility in the design and analysis of various real-time end-to-end algorithms. Experiments in digital communications introduce students to design and testing of the basics as well as radio frequency phenomena. The setup provides opportunities for advanced capstone project designs involving analog filtering (National Instrument's my-DAQs) as well as human-computer interfaces (Microsoft Kinect).

In addition to the above-mentioned laboratories, students interested in special projects in electrical and computer engineering may take advantage of the many well-equipped, faculty-supervised research laboratories, available in such specialties as robotics, computer graphics, computer database design, speech processing, image processing, machine vision, and software engineering.

Cyber Physical Systems Laboratory (CPS Lab). The Cyber Physical Systems Laboratory's (CPS Lab) overarching mission is to propose novel sensing paradigms to transform raw sensed heterogeneous data into valuable information (by giving semantic meaning to the collected data) and, finally, into knowledge through information fusion and integration. The paradigms will apply to those distributed systems that need to timely react to sensor information with an effective action such as cyber-physical systems, which feature a tight combination of, and coordination between, the system's computational and physical elements. The significance of the research is to leverage the acquired knowledge to broaden the potential of cyber-physical systems in several dimensions, including: augmentation of human capabilities, understanding of human activities, coordination of heterogeneous (infrared) cameras, operation in dangerous or inaccessible environments, and efficiency. The multidisciplinary research team comprising of graduate and undergraduate students as well as of visiting researchers is guided by Dr. Dario Pompili, Professor of Electrical and Computer Engineering, Rutgers University.

Data Analysis and Information SecuritY (DAISY) Lab. Dr. Yingying Chen leads Data Analysis and Information Security (DAISY) Lab in Electrical and Computer Engineering Department at Rutgers University. DAISY lab has extensive equipment to support research activities in the general areas of: Applied Machine Learning in Mobile Computing and Sensing, Internet of Things (IoT), Security in AI/ML Systems, Smart Healthcare, and Deep Learning on Mobile Systems. The lab consists of an experiment room located on the 5th Floor of the CoRE building in Busch Campus, Rutgers University. It has 4 Dell Precision high-performance workstation servers installed with high-end Intel Xeon CPUs (3 equipped with NVIDIA GV100/P4000 GPUs for deep learning acceleration), 5 desktops, 12 laptops, and 5 mini PCs, for data processing and machine learning computation. The lab has 17 802.11 Intel 5300 WiFi network interface cards, 20 Atheros WiFi network interface cards, 10 Texas Instruments xWR1642 millimeter-wave radars, 1 ImpinJ Speedway R420 RFID reader, 200 Avery Dennison RFID tags, 1 Avisoft Ultrasonic Speaker equipped with 1 Avisoft amplifier, 1 Tektronix oscilloscope, and 2 Keysight function generators, to support broad mobile sensing topics. Additionally, we have 16 Android phones, 2 Android Tablets, 3 Google Wear OS smartwatches,18 Raspberry Pis, 4 programmable robot cars, 7 drones, 2 3D printers, and 1 ECG monitor, for long-term data collection on diverse smart IoT platforms for applied machine learning. 

Information, Networks, and Signal Processing Research (INSPIRE) Lab. Dr. Waheed Bajwa. The INSPIRE Lab within the Department of Electrical and Computer Engineering at Rutgers University, New Brunswick, is a research lab that focuses on providing fundamental mathematical understanding of and theoretically optimal, computationally efficient, and algorithmically robust solutions for some of the most pressing problems arising in information processing an umbrella term that subsumes mathematical signal processing, high-dimensional statistics, and machine learning, and networked systems, such as the internet of things, multiagent systems, (online) social networks, wireless sensor networks, and brain networks.

Virtual Reality Laboratory.  This laboratory provides facilities for students to gain hands-on experience with several virtual reality (VR) specific interfaces, such as stereo glasses, 3-D trackers, force feedback joysticks, and sensing gloves. It also trains students in the intricacies of 3-D graphics and authoring real-time simulation.

WINLAB has the capability of fabricating prototype devices and printed circuits with K&S wedge bonder, SMT rework equipment as well as various FPGA development platforms and programmable embedded platforms (APTIX, GNU radio USRP, etc.). The laboratories are also equipped with various network analyzers, RF spectrum analyzers, high-speed digitizing oscilloscopes, function generators, power meters and other general purpose laboratory equipment (shielded enclosures, antennas, etc.). WINLAB also maintains state-of-the-art computing facilities including 12 compute servers, 4 storage servers, a 20-processor HPC cluster and 12 high-performance workstations, and over 200 networked computers and laptops. The center maintains software licenses for a variety of simulation tools including Matlab, OPNET, all major hardware design tool chains including Cadence, Synopsys and Mentor Graphics, as well as specialized wireless communications tools like EEs of EDA, Wise, XFDTD and numerous other public domain simulation tools.  In addition, WINLAB operates and maintains two NSF community research testbeds - ORBIT and COSMOS - for large-scale reproducible wireless experiments and real-world evaluation of 5G/6G systems respectively.  These testbeds can be accessed by experimenters over the Internet, and are also connected to national research networks including GENI, Fabric and Internet2.