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On Regularization Tuning
Electrical & Computer Engineering Department, University of Toronto, Toronto, Canada, Jul 29, 2019.
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Distributed Agnostic Structured Sparsity Recovery: Algorithms and Applications
Department de geenie electrique, Ecole de technologie superieure, Montreal, Canada, Jul 24, 2019.
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Aerial Data Aggregation in IoT Networks: A Novel Paradigm with Application to Forest Fire Fighting
KAUST Research Conference on Sustainable Urban-Enviornmental Future, Thuwal, Saudi Arabia, Apr 3, 2019
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Detection and Estimation Using Regularized Least Squares: Performance Analysis and Optimal Tuning Under Uncertainty
Institut National Polytechnique de Toulouse (ENSEEIHT), Toulouse, France, Mar 29, 2019.
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A Large Dimensional Study of Regularized Discriminant Analysis Classifiers
Statistics and Data Science Workshop
King Abdullah University of Science and Technology (KAUST), Saudi Arabia, Nov 13, 2018.
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A Large Dimensional Study of Regularized Discriminant Analysis Classifiers
Statistics and Data Science Worksho, Indian Institute of Science, Bangalore, India, Jul 19, 2018.
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Detection and Estimation Using Regularized Least Squares: Performance Analysis and Optimal Tuning Under Uncertainty
Communications Research Lab, Ilmenau University of Technology, Ilmenau, Germany, Aug 9, 2018. -
Detection and Estimation Using Regularized Least Squares: Performance Analysis and Optimal Tuning Under Uncertainty
France Research Center, Huawei Technologies, France, Jan 19, 2018.
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Detection and Estimation Using Regularized Least Squares: Performance Analysis and Optimal Tuning Under Uncertainty
Electrical Engineering Department, University of California at Davis,Davis, CA, USA, Jun 14, 2018.
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Detection and Estimation Using Regularized Least Squares: Performance Analysis and Optimal Tuning Under Uncertainty
EECS, University of California at Irvine, Irvine, CA, USA, Jun 6, 2018. -
Detection and Estimation Using Regularized Least Squares: Performance Analysis and Optimal Tuning Under Uncertainty
Signals, Information, and Algorithms Lab, MIT, Feb 8, 2018
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Detection and Estimation Using Regularized Least Squares: Performance Analysis and Optimal Tuning Under Uncertainty
Mathematical and Algorithmic Sciences Lab, Huawei Technologies Paris, France, Jan 19, 2018
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On The Use Of Structure In Signal Processing Analysis And Design,
EE Program Seminar, King Abdullah University of Science and Technology KAUST, Oct. 22, 2017
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“Distribution Agnostic Structured Sparsity Recovery: Algorithms and Applications
Univ. de Nice Sophia-Antipolis, Nice, Apr. 21, 2016
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Ultra-wideband Communications and Localization: Challenges and Solutions
KAUST-NSF Conference, KAUST, Mar. 16, 2016
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Bounded Perturbation Regularization for Linear Least Squares Inverse Problems
Earth Sciences Seminar, KAUST, Feb. 24, 2016
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Bounded perturbation regularization for linear least squares inverse problems
Information Theory and Applications Symposium, San Diego, Feb. 4, 2016
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Distribution Agnostic Structured Sparsity Recovery: Algorithms and Applications
Department of Computer Science Colloquiumm Western Michigan University, Jan. 26, 2016
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Distribution Agnostic Structured Sparsity Recovery: Algorithms and Applications
Technische Universit¨at, Darmstadt, Germany, Oct 15, 2014
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Distribution Agnostic Structured Sparsity Recovery: Algorithms and Applications
Hungarian Academy of Sciences, Institute for Computer Science and Control, Budapest, Hungary, July 23, 2014
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Distribution Agnostic Structured Sparsity Recovery: Algorithms and Applications
Alcatel-Lucent Bell Labs, Paris, France,, Jun 19, 2014
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Distribution Agnostic Structured Sparsity Recovery: Algorithms and Applications
Technische Universit¨at, M¨unchen, Germany, Jun 11, 2014
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An Introduction to (Bayesian) Compressed Sensing with Applications in Communication, Signal and Image Processing
Universit´e Paris-Est Marne-La-Vall´ee, Paris, France, May 31, 2014
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Bayesian Sparse Recovery: A Distribution Agnostic Approach with Applications
VCC Summit, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, Apr 14, 2014
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An Introduction to (Bayesian) Compressed Sensing with Applications in Communication and Signal Processing
TexasA&M University, Qatar, Mar 31, 2014
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Bayesian Sparse Recovery: A Distribution Agnostic Approach with Applications to PAPR Reduction in OFDM and Massive MIMO
INPT, Rabat, Morocco, Mar 20, 2014
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An Introduction to (Bayesian) Compressed Sensing with Applications in Communication and Signal Processing
SS5G 2014, SupCom, Tunisia, Mar 17, 2014
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Bayesian Sparse Recovery: Distribution Agnostic Approach with Applications to PAPR Reduction in OFDM and Massive MIMO
King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, Feb 8, 2014
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Impulse Noise Estimation and Cancellation in OFDM Systems
ASSIA, Santa Clara, CA, Apr. 4, 2013
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Receiver-Based Bayesian PAPR Reduction in OFDM
Qualcomm, Santa Clara, CA, Apr. 5, 2013
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Structured Sparsity: Bayesian Recovery Algorithms and Applications
Keynote speech, WOSSPA, Algeries, Algeria, May 2013
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Distribution Agnostic Structured Sparsity Recovery Algorithms and Applications
SupCom, Tunisia, May 17, 2013
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Structured Sparsity: Bayesian Recovery Algorithms and Applications
University of Toronto, June 6, 2013
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Structured Sparsity: Bayesian Recovery Algorithms and Applications
University of Ontario Institute of Technology, June 12, 2013
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Structured Sparsity: Bayesian Recovery Algorithms and Applications
E´cole Polytechnique de Montre´al, Montreal, June 13, 2013
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Structured Sparsity: Bayesian Recovery Algorithms and Applications
Georgia Institute of Technology, June 17, 2013
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Structured Sparsity: Bayesian Recovery Algorithms and Applications
The University of Akron, Akron, Ohio, June 20, 2013
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Bayesian Estimaton of Sparse Signals with Applications in Signal Processing and Communications
A tutorial at EUSIPCO, Marrakesh, Sep. 9, 2013
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A Bayesian Approach to multi-channel (Blind) Deconvolution
KFUPM-GA Tech workshop, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia, Dec. 17, 2012
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Compressed Sensing: An overview and an application to Seismic Deconvolution
Earth Sciences Seminar, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, Nov. 6, 2012
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Structure Based Bayesian Sparse Reconstruction
Electrical Engineering Department, University of Akron, Akron, Ohio, August 24, 2012.
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Structure Based Bayesian Sparse Reconstruction
Electrical Engineering Department Northwestern University, Evanston, IL, July 11, 2012
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Structure Based Bayesian Sparse Reconstruction
Electrical Engineering Department American University of Beirut, Lebanon, May 11, 2012
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Combating Impairments of OFDM Systems: A Model Reduction Approach
Electrical Engineering Department King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, Jan. 4, 2012
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Combating Impairments of OFDM Systems Electrical Engineering Department
Masdar Institute, Abu Dhabi, United ArabEmirates, Oct. 13, 2011
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Progress in Collaboration between KFUPM & KAUST
KFUPM’s International Advisory Board at KAUST, Thuwal, Saudi Arabia, Jan. 12, 2010
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A Model Reduction Approach for OFDM Channel Estimation Under High Mobility Conditions
Electrical Engineering Department, King Fahd University of Petroleum and Minerals, Mar. 1, 2011
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An Overview of KFUPM
King Abdullah University of Science & Technology, Dec. 1, 2010
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An Overview of Research Interests and Contributions
KFUPM’s International Advisory Board, SABIC Head Quarters, Riyadh, Saudi Arabia, Jan. 12, 2009
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Combating Some Impairments of OFDM Systems: A Model Reduction Approach
Electrical Engineering Department, Stanford University, Aug. 30, 2010
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The Potential of Compressive Sensing in (Seismic) Signal Processing [Abstract]
Workshop on KFUPM-GA Tech Joint Research Program, King Fahd University of Petroleum and Minerals, Jun. 21, 2010
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Indefinite quadratic forms in Gaussian random variables: Distribution, scaling, and applications
Electrical Engineering Department, Texas A & M Qatar, Jun. 3rd, 2009
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Writing with two languages: $yMb0ls & Words
Electrical Engineering Department, King Fahd University of Petroleum and Minerals, Apr. 7, 2009
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Indefinite quadratic forms in Gaussian random variables: Distribution, scaling, and applications
Electrical Engineering Department, American University of Beirut, Feb. 19, 2009
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Indefinite quadratic forms in Gaussian random variables: Distribution, scaling, and application to the broadcast channel
Electrical Engineering Department, University of Texas at Dallas, TX, Sep. 4, 2008
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Indefinite quadratic forms in Gaussian random variables: Distribution, scaling, and application to the broadcast channel
Electrical Engineering Department, Smart Antenna Research Group, Stanford University, CA, Aug. 22, 2008
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Scaling laws of multiple antenna (group) broadcast channels
Electrical Engineering Department, University of California at Irvine, CA, Jun. 18, 2008
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Scaling laws of multiple antenna (group) broadcast channels
Electrical Engineering Department, University of Southern California, CA, Feb. 20, 2008
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(Semi) blind channel identification and equalization in OFDM
Babak Hassibi’s Research Group, Electrical Engineering Department, California Institute of Technology, Pasadena, CA, Feb. 15, 2008
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Scaling laws of multiple antenna group-broadcast channels
Ecole Sup´erieure ´ dElectricit´e (Sup´elec), Paris, France, Jul. 6, 2007
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How much does correlation affect the sum-rate of MIMO downlink channels?
Institute Eurcom, Sophia-Antipolis, France, Jun. 21, 2007
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The potential of adaptive filtering for seismic signal processing
Research Institute, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, May 15, 2007
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Broadcasting data to multiple user groups: Information theoretic investigation of the wide band case
Electrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia`, May 1st, 2007
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Opportunistic scheduling in wireless networks: An overview of issues and design considerations
(jointly with Dr. Yahya Al-Harthi (KFUPM) and Dr. Mohamed-Slim Alouini (Texas A & M Qatar), Tutorial at the International Symposium on Signal Processing and its Applications (ISSPA 2007), Sharjah, UAE, Feb. 11, 2007
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Employing undergraduates as teaching assistants at KFUPM
Deanship of Academic Development, Center of Teaching and Learning, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, Jan. 16, 2007
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The effect of spatial correlation on the capacity of MIMO broadcast channels with partial side information
Electrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, Jan. 13, 2007
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How much does correlation affect the sum-rate of MIMO downlink channels?
Electrical Engineering Department, Imperial College, London, UK, Nov. 23, 2006
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A unified approach to mean-square analysis of adaptive filters
Electrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, Nov. 20, 2006
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How much does correlation affect the sum-rate of MIMO downlink channels?
Research Department, Intel Corporation, Santa Clara, CA, Aug. 22, 2006
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Broadcasting data to multiple user groups: An information theoretic investigation
Babak Hassibi’s Research Group, Electrical Engineering Department, California Institute of Technology, Pasadena, CA, Jul. 29, 2006
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A framework for the estimation of time-variant channels in OFDM
Delft Technical University, Delft, the Netherlands, Jun. 9th, 2006
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A forward backward Kalman for the estimation of time-variant channels in OFDM
Electrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, Nov. 16, 2005
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A framework for the estimation of time-variant channels in OFDM
the University of New Louvain, Belgium, Nov. 2nd, 2005
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A unified approach to mean-square analysis of adaptive filters
the University of New Louvain, Belgium, Nov. 2nd, 2005
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A framework for the estimation of time-variant channels in OFDM
Telecommunications Research Center, Vienna, Austria, Oct. 28, 2005
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Wireless broadband networks–WIMAX: A contrast and a complement to WiFi
(jointly with Dr. Salam Zummo) Internet and Communications Engineering Technical Exchange Meeting (e-CETEM), Saudi Aramco, Dhahran, Saudi Arabia, Sep. 19, 2005
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A unified approach for transient analysis of adaptive filters
Babak Hassibi’s Research Group, Electrical Engineering Department, California Institute of Technology, Pasadena, Mar. 25th, 2005
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Receiver design for MIMO-OFDM transmission over time-variant frequency selective channels
Standards Group, Qualcomm Corporation, San Diego, Jun. 18th, 2004
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Receiver design for MIMO-OFDM transmission over time-variant frequency selective channels
Communications Systems Lab., Texas Instruments, Dallas, TX, Feb. 23, 2004
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Adaptive semi-blind receiver for MIMO-OFDM transmission
ATHEROS Communications, Sunnyvale, CA, Dec. 23, 2003
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Receiver design for MIMO OFDM transmission over time-variant channels
TZero Technologies Inc., Sunnyvale, CA, Jan. 27, 2004
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An OFDM receiver for MIMO OFDM transmission over wireless channels
Intel Corporation, Sunnyvale, CA, Dec. 19, 2003
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A semi-blind algorithm for OFDM transmission over wireless channels
Stanford Networking Research Group, Stanford University, Apr. 10, 2003
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Adaptive algorithms for wireless channel estimation
Qualcomm Technology Ventures,” Qualcomm Corporation, San Diego, Apr. 3, 2003