FACULTY IN THE DEPARTMENT OF ELECTRICAL ENGINEERING Presented to the: EE 1001 Introduction to Electrical Engineering Class by Stan Burns Professor Department of Electrical Engineering Fall Semester 2015 1 September 2015

Stan Burns , Ph.D, P.E. Professor Electrical Engineering Professor and ECE Department Head (1998-2007) SCSE Associate Dean, 2007-2011 Jack Rowe Chair (2011-2013) B.S., M.S., and Ph.D. in E.E. Univ. of Wisconsin Madison Expertise in microelectronics, semiconductor device processing, analog circuit design, instrumentation Senior Life Member IEEE, Member ASEE Registered Professional Engineer in Minnesota and Iowa

Teaching Interests: EE 1001 Introduction to Electrical Engineering EE 2212 Electronics I (Analog Electronic Circuit Design) EE 4611 Introduction to Solid State Semiconductors Student Projects: FIRST Robotics (UMD Representative, State Planning Committee), Senior Design Tau Beta Pi Co-Advisor Research Interests Microelectronics Processing and Analog Circuit Design. Biomedical Instrumentation SCSE Office: MWAH 153 Phone: (218) 726-7506 Email: sburns@d.umn.edu Web: http://www.d.umn.edu/~sburns

Drowning Worms-Cottage Time Watercolor (Trying) Acoustic Guitar (Trying) Vintage Watches Repair and Restore Amateur Radio License N0GA History of Science and Engineering

Desineni “Subbaram” Naidu Jack Rowe Endowed Chair & Professor in EE (August 2014-present) M.Tech. & Ph.D. in EE (Control Systems)-Ind. Inst. of Tech (IIT) 2014-1990: Idaho State University (ISU) 2013-10: Director, School of Engineering, ISU 2008-Sprng: Universities of southern & Western Australia 2005-Summer: Swiss Federal Inst. of Tech., Zurich, Switzerland 2004 -Summer: Norwegian Univ. of Sci. & Tech, Trondheim 1998-2009: Associate Dean, College of Engineering, ISU 1998-99: US Air Force Research Lab, WPAFB, OH 1985-90: NASA Langley Research Center, Hampton, VA Life Fellow IEEE

Desineni “Subbaram” Naidu Contact Information Office: 273 MWAH; Ph: 218-726-6531 Email: naiduds@isu.edu; URL: http://www.d.umn.edu/~dsnaidu Teaching Interests EE5151: Digital Control System Design EE8151: Linear Systems & Optimal Control EE4991: Independent Study EE8777: Masters Thesis EE5533: Grid: Resiliency, Efficiency, and Technology (GREaT) Research Interests Optimal, Nonlinear and Intelligent Control, Time Scales in Control Theory and Applications – Aerospace, Electrical, Energy, Grid, Biomedical Engineering & Smart Prosthetic Hand, Industrial Control Cyber Security and Resilient Control Systems

Prosthetic Hand Research-in-Progress @ EED-UMD

UMD Prosthetics Project UMD Students Design Affordable, Functional Robotic Hand DULUTH TV - CBS – May 6, 2015 UMD Prosthetics Project

Jing Bai Associate Professor Ph.D. in ECE. from Georgia Tech, 2007 Joined UMD ECE in Fall 2007 Expertise in Nano-scale optoelectronic devices and non-linear optics Member of IEEE, WIE, OSA and APS

Research and Teaching Interests Research Interests ─ Nanoscale optoelectronic devices Nanoscale lasers Nanoscale solar cells Plasmonic nanostructures Nanotechnology for bio-medical applications Teaching EE 2006 Electric Circuit Analysis (offered in spring and fall) EE 5611 Microelectronics Technology (offered in fall since 2012) EE 4611 (Taught until S’12, Prof. Burns is now teaching this course) More Information Please visit Dr. Bai’s website: http://www.d.umn.edu/~jingbai/ for more information

Chris Carroll Associate Professor UMD ECE Since 1988 B.S. from Ga Tech, M.S.E.E. and Ph.D. in C.S. California Institute of Technology Expertise in digital systems and microprocessor and microcontroller applications Member ASEE

Dr. Carroll: Teaching & Research Courses Taught: Digital logic (EE 1315) Microcomputer systems (EE 2325) Digital systems (EE 4341) Design workshop (EE 4951) Square dancing (PE 1304) Standing atop the launch doors of a 1960’s nuclear missile silo from the cold war Oklahoma Hobbies Piano (ragtime, popular) Travel (been to 50 states, 8 countries) Clarinet (Twin Ports Wind Orchestra) Model trains (HO and N guage) Square dancing (calling, dancing)

Tom Ferguson, P.E. Adjunct Faculty Vice-President Minnesota Power (Retired) Chair ECE External Advisory Committee Through 2005 Expertise in Power Systems, Alternative Energy, Telecommunications Registered Professional Engineer

Tom Ferguson, P.E. – Adjunct Instructor EE 1001 – Introduction to EE Tom Ferguson, P.E. – Adjunct Instructor 155 MWAH 218-726-7798 tferguso@d.umn.edu Background: BEE and MSEE from University of Minnesota – Twin Cities 30 years in electric utility industry Technical Interests: High voltage transmission grid, generation ( particularly nuclear and wind), blackouts, power system operations RF antenna modeling, design, and construction Courses: EE 5477 – Antennas and Transmission Lines EE 5501 – Energy Conversion Systems Major Interests: Grandson; travel by Corvette; international travel History, geology, piano, hiking, golf, amateur radio

Mohammed Hasan Associate Professor UMD ECE since 1997 M.S.E.E. And Ph.D. in E.E. and Applied Mathematics, Colorado State Univ. Expertise in signal processing, modeling and estimation of random processes, and electromagnetic fields

  Dr. Mohammed A Hasan I have been with the EE department since Fall 1997 Recent Classes I Taught: EE 2006: Circuit Analysis EE 3445: Electromagnetics EE 5741: Digital Signal Processing EE 5742: Pattern Recognition EE 8741: Digital Image Processing EE 8742: Signal Detection and Estimation In these courses I emphasize solving technical problems and visualization of results Using Matlab, or Mathematica. Many Matlab toolboxes are available on most Labs Computers.

Research Interests Mainly Include the Following Fields:   1. Signal Processing 2. Image Processing 3. Pattern Recognition: Face & Voice Recognition, Signature Identification,… Biometrics 4. Scientific Computation 5. Unsupervised learning theory, Principal component analysis (PCA), Independent component analysis (ICA), Kernel Methods UROP: The Undergraduate Research Opportunity Program creates research partnerships between undergraduate students and faculty. In EE, many students and faculty researchers are engaged in research partnerships every year.

Ph.D. in E.E. University of Southern California, Los Angeles (1998) Imran Hayee Professor UMD ECE Since Fall 2004 Ph.D. in E.E. University of Southern California, Los Angeles (1998) Industrial experience at Tyco Submarine Systems (Formerly Bell laboratories), and with two startups-Corvis and Opvista Expertise in communications systems, optical communications, telecommunictions

(Faculty Introduction) EE 1001 - Introduction to EE (Faculty Introduction) Profile: Name Dr. Imran Hayee Office 278 MWAH Contact 218 726 6743 or ihayee@d.umn.edu Background: Completed Ph. D. from University of Southern California Worked in Industry for 6 years Started in EE as Associate Professor in Fall 2004 Areas of Interest: Signal Processing and Biomedical Engineering Optical Fiber and Wireless Communications Systems and Networks Intelligent Transportation Systems Courses Taught: EE 2111 Signals and Systems – required EE 5765 Modern Communications – senior elective EE 8765 Digital Communications – graduate

Senior Design Projects Electronic Stethoscope with Diagnostic Capability Automated Meter Reading Architecture using Wireless Paging Technology Facial Recognition System for Biometric Security Implementation Wireless Cell Phone Charger

Taek Mu Kwon Professor and Assistant Department Head UMD ECE Since 1988 M.S. and Ph.D. in E.E. from Florida Institute of Technology Expertise in neural networks and fuzzy controllers, digital signal processing, computer networks, intelligent traffic sensors

Dr. Taek M. Kwon Courses Current Research EE 4305 Computer Architecture EE 5315 Multiprocessor-Based System Design EE 4321 Computer Networks EE 5801 Neural Networks Current Research Wireless sensor networks Weigh-in-motion systems Intersection conflict warning systems Hardware-in-loop real-time testing systems

Wireless Sensor Mesh Network for Vehicle Tracking and Monitoring Ford Taurus Chevrolet Metro

Rural Intersection Conflict Warning System Lismore/Lakewood Rd

Scott Norr, P.E. Adjunct Faculty Instructor Industrial experience in power systems and power electronics Teaches a lecture and laboratory course in power systems and lecture and laboratory courses in digital circuit design Registered Professional Engineer IEEE Student Branch Advisor and Liaison With Arrowhead Section

Scott’s Courses in 2013-14: Fall: EE 2006 – Circuit Analysis (Most Important Course!) EE 4899 – Senior Design I Spring: EE 2006 – Circuit Analysis EE 4501 – Power Systems EE 5351 - Robotics Faculty Advisor, IEEE Student Branch at UMD (www.ieee.org)

Hua Tang Associate Professor UMD ECE Since Fall 2005 Ph.D. in E.E., State University of New York, Stony Brook Expertise in high performance analog, digital, and mixed-signal Very Large Scale Integrated Circuit (VLSI) design and computer-aided design

Teaching EE 3235 Electronics II (Fall 2015, Spring 2016) EE 4311 VLSI Circuit Design (Fall 2015) Research Circuit Theory, Design and Applications VLSI Design and Computer Aided Design Contact Information Office: MWAH 276 Hour: 10-11am MWTF Phone: 726-7095 Email: htang@d.umn.edu Http: www.d.umn.edu/~htang

Jiann-Shiou Yang Professor and Head (2007-Current) UMD ECE Since 1988 M.S. and Ph.D. in E.E. Univ. of Maryland College Park Expertise in robust and automatic control, system theory, computer-aided control system design and optimization Senior Member IEEE

Dr. Jiann-Shiou Yang Contact Information ■ Office: 272 MWAH ■ Phone: 726-6290/Email: jyang@d.umn.edu ■ Web page: http:/www.d.umn.edu/~jyang Courses Recently Taught ■ EE 3151 Control Systems (required course) ■ EE 5151 Digital Control System Design (elective course) ■ EE 8151 Linear Systems and Optimal Control (graduate course) Research Interests Robust control; nonlinear systems; computer-aided control system design; optimization; intelligent transportation systems, control applications

Lee Zimmerman Adjunct Assistant Professor Ph. D. in E.E. University of Minnesota, 1989 Assistant Professor Tulane University Teaching in the areas of circuits, electromagnetics, microcomputer-based fuzzy logic systems, psychology of human vision, mobile robots; to support senior design and digital circuit design