Lina J. Karam, Ph.D.

Affiliations: 
1995- Electrical, Computer & Energy Engineering Arizona State University & Lebanese American University 
Area:
Signal Processing, Image and Video Processing and Compression, Computer Vision, Machine Learning, Deep Learning, Perceptual-based processing, Digital Filtering
Website:
https://www.linkedin.com/in/linakaram
Google:
"Lina Karam"
Bio:

Dr. Lina Karam is currently a Full Professor in the School of Electrical, Computer & Energy Engineering, and the Director of the R&D Image, Video, and Usability (IVU) Lab. She also served as the Computer Engineering Graduate Program Chair and as Computer Engineering Director for Industry Engagement at ASU. She is also the President of PICARIS, LLC, a consulting company on media processing, compression, understanding, and analytics, and serves as expert consultant in patent litigation. Dr. Karam is the Editor-In-Chief of the prestigious IEEE Journal on Selected Topics in Signal Processing. She is an IEEE Fellow, the highest grade level in IEEE which is conferred each year to no more than one-tenth of 1% of all IEEE voting members, for her contributions in the image and video processing, visual media compression and transmission, and digital filtering areas. Dr. Karam is a recipient of the National Science Foundation CAREER Award, NASA Technical Innovation Award, the Intel Outstanding Researcher Award, the IEEE Signal Processing Society’s Best Journal Paper Award, IEEE Phoenix Section Outstanding Faculty Award, and IEEE Region 6 Award. Her industrial experience includes image and video processing and compression development at AT&T Bell Labs (Murray Hill), multi-dimensional data processing and visualization at Schlumberger, and collaborations on computer vision, machine learning, automated mobility, digital filtering, image/video processing, compression, and transmission projects with various industries including Intel, Qualcomm, Google, NTT, TCL, Motorola, Freescale, General Dynamics, Texas Instruments, NXP, The Mathworks, and NASA. She directed numerous funded projects that led to successful technology transfer with industry partners. She recently initiated an ASU-Silicon Valley Industry Partnership Program for Engineering and Computer Science Graduate Students, and was recently invited to participate as a judge in Vision Tank 2019, a competition event held in Silicon Valley for startup companies. She initiated and helped in establishing the World’s First Visual Innovation Award in 2016 and more recently the World’s First Multimedia Star Innovator Award in 2019.

Dr. Karam served as the lead ASU ADAS faculty advisor for the DoE/GM sponsored Advanced Vehicle Technology Competition (EcoCAR3) Competition. She also led interdisciplinary university-industry-government initiatives for defining the next-generation of safe and efficient automated mobility at scale and is currently serving as the lead guest editor of a special issue on autonomous driving. Dr. Karam was recently featured on FOX 10 News (October 30, 2018) in a segment on driverless cars and in a news article in the Phoenix Business Review Journal on Waymo’s Self-Driving Truck Testing. She also participated in various panels on self-driving cars and smart cities including panels organized for law professionals, local cities, and public outreach.

Dr. Karam has over 220 technical publications and she is an inventor on 7 issued US patents. She is a member of the National Academy of Inventors, ASU Chapter. She served on the IEEE Publication Services and Products Board (PSPB) Strategic Planning Committee, the IEEE Signal Processing Society’s (SPS) Board of Governors, the IEEE Circuits and Systems’ Fellow Evaluation Committee, the IEEE SPS Conference Board, and on the editorial boards of several high-impact journals. She served as General Co-Chair of IEEE ICME 2019, General Chair for IEEE ICIP 2016, Technical Program Chair for IEEE ICIP 2009, and General Chair for the 2011 IEEE DSP/SPE Workshops. She co-founded the international QoMEX conference. She is currently serving on the IEEE SPS Publication Board, IEEE SPS Award Board, and as a member of the IEEE SPS Image, Video & Multidimensional Signal Processing Technical Committee, and of the IEEE Circuits and Systems Society’s DSP Technical Committee.
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Ingo Höntsch grad student 1999 Arizona State
Yassin M. Hasan grad student 2000 Arizona State
Zhen Liu grad student 2003 Arizona State
Zoran Ivanovski grad student 2006 Arizona State University and University of Ss. Cyril and Methodius
Tuyet-Trang Lam grad student 2006 Arizona State
Rony Ferzli grad student 2007 Arizona State
Wei-Jung Chien grad student 2009 Arizona State
Ajit Devaraj grad student 2010 Arizona State (BME Tree)
Ryan K. Robison grad student 2010 Arizona State (BME Tree)
Asaad F. Said grad student 2010 Arizona State
Nabil Sadaka grad student 2011 Arizona State
Akshay Pulipaka grad student 2012 Arizona State
Srenivas Varadarajan grad student 2014 Arizona State
Qian Xu grad student 2014 Arizona State
Mahesh Subedar grad student 2015 Arizona State
Milind Gide grad student 2016 Arizona State
Tong Zhu grad student 2016 Arizona State
Jinjin Li grad student 2017 Arizona State
Samuel Dodge grad student 2018 Arizona State
S. Alireza Golestaneh grad student 2018 Arizona State
Jinane Mounsef grad student 2018 Arizona State
Bashar Haddad grad student 2019 Arizona State
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Publications

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Prakash CD, Karam LJ. (2021) It GAN Do Better: GAN-Based Detection of Objects on Images With Varying Quality. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 30: 9220-9230
Borkar TS, Karam LJ. (2019) DeepCorrect: Correcting DNN Models against Image Distortions. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society
Mounsef J, Karam L. (2019) Augmented SRC for face recognition under quality distortions Iet Biometrics. 8: 431-442
Prakash CD, Akhbari F, Karam LJ. (2019) Robust obstacle detection for advanced driver assistance systems using distortions of inverse perspective mapping of a monocular camera Robotics and Autonomous Systems. 114: 172-186
Dodge S, Karam L. (2018) Quality Robust Mixtures of Deep Neural Networks. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society
Dodge S, Karam L. (2018) Visual Saliency Prediction Using a Mixture of Deep Neural Networks. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society
Shrotre A, Karam L. (2018) Full Reference Objective Quality Assessment for Reconstructed Background Images Journal of Imaging. 4: 82
Dodge S, Mounsef J, Karam L. (2018) Unconstrained ear recognition using deep neural networks Iet Biometrics. 7: 207-214
Gide MS, Karam LJ. (2017) Computational Visual Attention Models Foundations and Trends® in Signal Processing. 10: 347-427
Golestaneh SA, Karam L. (2016) Reduced-Reference Quality Assessment Based on the Entropy of DWT Coefficients of Locally Weighted Gradient Magnitudes. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 25: 5293-5303
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