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Lina Karam

Professor
Faculty, TEMPE Campus, Mailcode 5706
Biography

Lina J. Karam, IEEE Fellow, Editor-In-Chief of the IEEE Journal on Selected Topics in Signal Processing (IEEE JSTSP), received the B.E. degree in computer and communications engineering from the American University of Beirut, Beirut, Lebanon, in 1989 and the M.S. and Ph.D. degrees in electrical engineering from the Georgia Institute of Technology, Atlanta, GA, USA, in 1992 and 1995, respectively. She is a Full Professor in the School of Electrical, Computer & Energy Engineering, Arizona State University, where she also directs the Image, Video, & Usabilty (IVU) Research Laboratory. Her industrial experience includes image and video compression development at AT&T Bell Labs, Murray Hill, NJ, USA, multidimensional data processing and visualization at Schlumberger, and collaboration on computer vision, machine learning, image/video processing, compression, and transmission projects with industries including Intel, Google, Qualcomm, NTT, Motorola, General Dynamics, and NASA. She has over 230 technical publications and she is an inventor on seven issued patents.

Dr. Karam was awarded a U.S. National Science Foundation CAREER Award, a NASA Technical Innovation Award, 2018 IEEE Region 6 Award, 2014 IEEE SPS Best Paper Award, 2012 Intel Outstanding Researcher Award, and 2012 IEEE Phoenix Section Outstanding Faculty Award. Dr. Karam is the Editor-in-Chief of the IEEE Journal of Selected Topics in Signal Processing. She has served on several journal editorial boards, including IEEE SPS journals such as the IEEE Transactions on Image Processing, the IEEE Signal Processing Magazine, the IEEE Journal on Selected Topics in Signal Processing, and the IEEE Signal Processing Letters. She has also served as the lead guest editor of the Proceedings of IEEE, Special Issue on Perceptual-Based Media Processing, and as the Lead Guest Editor of the IEEE Journal of Selected Topics in Signal Processing, Special Issue on Visual Quality Assessment. She served on the IEEE PSPB Strategic Planning Committee, IEEE SPS Board of Governors, IEEE SPS Conference Board, IEEE CAS Fellow Evaluation Committee, and on the editorial boards of several journals. She served as the General Chair of the 2016 IEEE ICIP, Technical Program Chair of the 2009 IEEE ICIP, General Chair of the 2011 IEEE DSP/SPE Workshops and on the origanizing/technical committeed of several conferences. She cofounded the international conference on the Quality of Multimedia Experience (QoMEX).  She is currently serving as the General Co-Chair of the 2019 IEEE International Conference on Multimedia & Expo. She established the first IEEE Multimedia Star Innovator Award to be presented at the 2019 IEEE ICME; previously she co-established the world's first Visual Innovation Award (awarded at IEEE ICIP 2016).

At ASU, Dr. Karam helped in established two transdisciplinary programs, the Computer Engineering Program (across two schools) and the Robotics & Autonomous Systems (RAS) Program (across four schools). She served as the Computer Engineering Program Chair and more recently as the Computer Engineering Director for Industry Engagement. She initiated and led a university-wide initiative (2017-2018) on automated mobility/sefl-driving cars across various schools and across four ASU campuses (Tempe, Downtown, Mesa/Polytechnic, Washington/DC) and initiated public-private-government partnerships which culminated in the establishment of the state-level Institute of Automated Mobility. She served as a member of the ASU Engineering Dean's Faculty Advisory Committee and on the ASU University Promotion and Tenure Committee. Prof. Karam developed several new courses at ASU including Real-Time DSP (EEE 404); Multi-Dimesional Signal Processing (EEE 507); Image and Video Processing and Compression (EEE 508); and more recently Deep Learning for Media Processing and Understanding (EEE 598).  

In addition to her service as EiC of IEEE JSTSP, Dr. Karam is currently serving on the IEEE Signal Processing Society's (SPS) Awards Board and Publications Board and as an elected member of the IEEE SPS Image, Video & Multidimensional Signal Processing (IVMSP) Technical Commuttee and the IEEE Circuits & Systems (CAS) Digital Signal Processing (DSP) Technical Committee.

 

Education
  • Ph.D. Electrical Engineering, Georgia Institute of Technology 1995
  • M.S. Electrical Engineering, Georgia Institute of Technology 1992
  • B.E. Computer and Communications Engineering, American University of Beirut, Lebanon 1989
Research Interests

Image and Video Processing, Image and Video Compression, Image and Video Transmission, Human Visual Perception, Visual Quality Assessment. Quality of Experience (QoE), Medical Imaging, Bio-medical Image Processing, Multi-Dimensional Signal Processing, Digital Filtering, Joint Souce-Channel Coding, Distributed Source Coding, Distributed Signal Processing.   

Research Activity
Summer 2019
Course NumberCourse Title
CEN 584Internship
EEE 590Reading and Conference
EEE 592Research
EEE 595Continuing Registration
EEE 599Thesis
EEE 690Reading and Conference
EEE 790Reading and Conference
EEE 792Research
EEE 795Continuing Registration
EEE 799Dissertation
Summer 2018
Course NumberCourse Title
CEN 584Internship
EEE 590Reading and Conference
EEE 592Research
EEE 595Continuing Registration
EEE 599Thesis
EEE 690Reading and Conference
EEE 790Reading and Conference
EEE 792Research
EEE 795Continuing Registration
EEE 799Dissertation
Summer 2017
Course NumberCourse Title
CEN 584Internship
EEE 590Reading and Conference
EEE 592Research
EEE 595Continuing Registration
EEE 599Thesis
EEE 690Reading and Conference
EEE 790Reading and Conference
EEE 792Research
EEE 795Continuing Registration
EEE 799Dissertation
Summer 2016
Course NumberCourse Title
EEE 499Individualized Instruction
CEN 584Internship
EEE 590Reading and Conference
EEE 592Research
EEE 595Continuing Registration
EEE 599Thesis
EEE 690Reading and Conference
EEE 790Reading and Conference
EEE 792Research
EEE 795Continuing Registration
EEE 799Dissertation
Summer 2015
Course NumberCourse Title
EEE 493Honors Thesis
EEE 499Individualized Instruction
CEN 584Internship
EEE 590Reading and Conference
EEE 592Research
EEE 595Continuing Registration
EEE 599Thesis
EEE 680Practicum
EEE 690Reading and Conference
EEE 790Reading and Conference
EEE 792Research
EEE 795Continuing Registration
EEE 799Dissertation
Presentations

 

Deep Learning for Media Processing and Understanding

Signal Processing

Image and Video Processing

Image and Video Compression

Computer Vision

Human Perception 

Real-Time Digital Signal Processing

 

Consulting

Patent Preparation and Patent Prosecution

Computer Vision Projects 

Image/Video Processing Projects

Image/Video Compression Projects

Automated Mobility/Automated Driving

In addition to consulting on various projects above with different industries, Dr. Karam's industrial experience includes image and video compression development at AT&T Bell Labs, multidimensional data processing and visualization at Schlumberger, biomedical image processing with Muscale, and collaboration on computer vision, machine learning, automated driving, image/video processing, compression, and transmission projects with industries including Intel, Google, Qualcomm, NTT, Motorola, NXP, GM, General Dynamics, and NASA. She has over 230 technical publications and she is a co-inventor on 9 patents. Dr. Karam initiated and led the first Intel-ASU Automated Mobility/Automated Driving Initiative (2017-2018) which culminated in the establishment of the state-level Institute of Automated Mobility. 

Dr. Karam was awarded a NASA Technical Innovation Award and the 2012 Intel Outstanding Researcher Award. She initiated the World's First Visual Innovation Award that was awarded for the first time in September 2016 in Phoenix, AZ. She also initiated in 2019 the Multimedia Star Innovator Award awarded for the first time at 2019 IEEE ICME. 

ASU Full Circle Article - Visual tech visionaries honored with innovation awards, 
& the corresponding World's First Visual Innovation Award YouTube Video - Finalists' Keynotes

Check out our Call For Papers, IEEE Special Issue on Autonomous Driving - white papers due 1 June 2019 

Serving as a panelist in this event (Thursday 11 April):
Let's Talk Self-Driving: A Fireside Conversation with Waymo's Tekedra Mawakana 

Interview with FOX 10 News - Cities and Driverless Cars 

Intel-sponsored A-SPACE Initiative (pre-launch phase tasks) for definining the next-generation of safe and efficient automated mobility at scale. 
Listen to podcast below for additional information on Automated Mobility Initiative:
Podcast on Driverless Cars (31 August 2018): 
Listen as we discuss: current and future trends in driverless car tech