Faculty in Electrical Engineering (TT, Full-Time, Part-Time - PowerPoint PPT Presentation

Faculty in Electrical Engineering (TT, Full-Time, Part-Time Lecturers) Bryan Lynne Bridget Joseph Amin John Paul Andrew Nazeih Gary Tina David John Planck Slivovsky Mealy Benson Callenes Malek Oliver Danowitz Hummel Botros Perks Smilkstein Braun Sloan Mohammadi Shared with Computers Technical Area Group CSSE Part Time Lecturers Asit Rairkar Dan Malone Joe Sparks Mike Wilson Kurt Behpour Hiren Trada Dave McDonald Chuck Bland Ben Hawkins Dennis Dean Sam Bill Vladimir Mostafa Xiaomin Sid Rich Murray Steve Dunton (50% Biomedical) Derickson Arakaki Agbo Ahlgren Prodanov Chinichian Vyas Jin Max Muscarrela Dave Retz Circuits, Electronics, Photonics, Biomed area group Ali Fred John Jane Helen Wayne Art Clay Ali Dale Ahmad Majid Dehghan Taufik DePiero Saghri Zhang Yu Pilkington MacCarley Shaban McKell Dolan Nafisi Banadaki Poshtan Systems Technical Area Group Power and Energy Area group

Ele lectrical Engineering – Top Employers Communications Industry Defense Companies Semiconductor Industry 1. Cisco Systems 1. Raytheon 1. Texas Instruments 2. ViaSat 2. Northrop Grumman 2. Analog Devices Electronic Test and Measurement Electric Utility Companies Computer Systems 1. Keysight 1. HPE 1. LADWP 2. Anritsu 2. SDG+E 2. Intel Consumer Electronics Government Construction Engineering 1. Apple 1. Mazetti 1. Lawrence Livermore Nat. Labs 2. Amazon lab 126 2. China Lake 2. Schneider Electric

Vision: EE looking forward “Preparing our students for the Data - Intensive World” “Once in a lifetime opportunity for re -making our Energy Systems Infrastructure” Systems Level and Multidisciplinary Experiences: • Curriculum that brings together skill sets in digital -Enhance Power and Energy Curriculum and Labs hardware, analog hardware and software from early with microgrid project, industrial controls and classes and gives immersive experiences later in the associated course upgrades. REC solar project completion. curriculum (beyond traditional senior project experiences). -Increase the number of Grad Students coming in • Incorporate more project based activities earlier from other institutions to utilize our great curriculum into the curriculum while maintaining rigorous and labs (this would apply to all EE sub-disciplines but Laboratory experiences. The project-based activities We have a clear competitive advantage in Power and Energy). should include digital, analog and software elements. • Incorporate elements of Machine Learning into “Give students more opportunity to customize existing courses and add technical electives. t heir coursework and career interests at the B.S. Level” Continued transformation from Analog to Digital: -Free up at least four more technical elective units. Markets/Applications continue the transformation -Add options to free up electives (e.g.choose 2 out of 3) from analog to digital: audio, video, signal processing, imaging -Provide better guidance on how to customize an EE control systems, communications, autonomous systems. EE Specialization from our broad area of topics. needs to track these changes. Improved Software Skills: Easily accessible software curriculum in any quarter “Upgrade graduate course offerings and research to reflect that works into the EE student’s schedule. c urrent needs/trends for our graduate students and industry” “Promote an Inclusive Environment”

EE Vision: “Preparing Students for a Data - Intensive World” Generating Massive Data, Transporting Computer Technology Development The Data, and Analyzing the Data for USING DATA FOR BETTER DECISIONS Driven by Bandwidth/Speed/Power Optimal Decisions Drive our field and Security Needs Matlab/Simulink Real-Time AI/Deep Learning System Example Advances in semiconductor technology, Feedforward to improve computing platforms, and software continue to drive applications that require high data rate Cloud storage communication networks to achieve goals And computing Input Data EE414 Robotic System Integration From EE 431/531/532/423/524 VLSI Design Many EE 439/EE442/ Real Time Computing Systems sources EE446 Design of fault tolerant computing EE521 Computer Systems Hardware Training data EE523 Digital Systems Design Communication and Software or math model EE542 Advanced Embedded Systems starting point EEXYZ We need to advance our Security Networks Feedback to improve Curriculum to meet needs in this area Local and World-Wide Machine IOT Massive Data EE432/472 Digital Controls DATA PROCESSING: Communication Networks EE419/459 Digital Signal Processing New methods of Massive Number of - wireless (“5G” 2020 and “6G” 2030) EE424 Remote Sensing Internet of Things working with large -wireline (Tbit/s data rates on fiber) EE428 Computer Vision (IOT) Sensors are data sets to make EE509 Computational Intelligence coming on line. decisions including EE403/443 Fiber optics and Photonics Vehicles, Smart EE513 Control System Theory AI/Deep Learning/ EE 405/455 High Frequency Amplifiers Cities, Remote EE514 Advanced Topic in Automatic Control Advanced Controls is Sensing, Homes, EE 502/529 Microwave Frequency Design EE516 Pattern Recognition biologic sensors etc. Very important. New EE440/480 Wireless Communication EE528 Digital Image Processing A wealth of data is hardware and software EE415/416/456 Digital Communications EEXYZ We need several other courses generated and then Platforms Will be EE475 Ethernet Networking you need to process EE412/452 Advanced Analog-Sensors In this are to be created including a course important for industry EE504 Software Defined Radio it to make good EE470/471 IOT Class-processors and on Design for AI/Deep Learning at the in the coming decades. decisions – See Block EE533 Antennas sensors undergrad and grad level. We have a On data for better We need to review these courses to make sure EEXYZ: We need to further our good base to build from here. Decisions. they are addressing future comm. systems needs Investment in this area.

EE Vision: “Once in a lifetime opportunity for re - making our Energy Systems Infrastructure” The World is reducing dependency on fossil fuels and moving toward renewable energy sources. This will require Massive shift in energy production a re-design of our electric power and distribution toward renewables delivery system with distributed Storage generation, energy storage, Energy microgrid networks and Electric Vehicle charging stations System Renewables everywhere. Smart Cities and Energy efficient construction will Network Also be major trends. Our curriculum altnerative-enegy-sources.com Smart Cities, Industrial Automation Nexaraenergy.com and Research activity with students needs to move with these in utilities and roads, Building codes- major shifts . net energy neutral, sensors everywhere, EE406/407 Power Systems EE410/411 Power Electronics more city-managed electric utilities Microgrids, EE420 Sustainable Energy Systems EE417 Electric Machines Smart Grids, EE434 Automotive Engineering Increased use of Electric And Grid EE444 Power System Laboratory EE450 Solar PV Systems Energy Sources for vehicles Security EE433 Introduction to Magnetic… EE518 Power System Protection EE519 Advanced Power Systems EE520 Advanced Solar PV EE527 Advanced Power Electronics EEXYZ We plan on an industrial Automation course, courses around Smart grid and perhaps security energystoragenetworks.com Of critical infrastructure