ISL Talks OverviewOn Regularization TuningElectrical & Computer Engineering Department, University of Toronto, Toronto, Canada, Jul 29, 2019. Distributed Agnostic Structured Sparsity Recovery: Algorithms and ApplicationsDepartment de geenie electrique, Ecole de technologie superieure, Montreal, Canada, Jul 24, 2019.Aerial Data Aggregation in IoT Networks: A Novel Paradigm with Application to Forest Fire FightingKAUST Research Conference on Sustainable Urban-Enviornmental Future, Thuwal, Saudi Arabia, Apr 3, 2019Detection and Estimation Using Regularized Least Squares: Performance Analysis and Optimal Tuning Under UncertaintyInstitut National Polytechnique de Toulouse (ENSEEIHT), Toulouse, France, Mar 29, 2019.A Large Dimensional Study of Regularized Discriminant Analysis ClassifiersStatistics and Data Science WorkshopKing Abdullah University of Science and Technology (KAUST), Saudi Arabia, Nov 13, 2018. A Large Dimensional Study of Regularized Discriminant Analysis ClassifiersStatistics and Data Science Worksho, Indian Institute of Science, Bangalore, India, Jul 19, 2018. 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. Detection and Estimation Using Regularized Least Squares: Performance Analysis and Optimal Tuning Under UncertaintyElectrical Engineering Department, University of California at Davis,Davis, CA, USA, Jun 14, 2018.Detection and Estimation Using Regularized Least Squares: Performance Analysis and Optimal Tuning Under UncertaintyEECS, University of California at Irvine, Irvine, CA, USA, Jun 6, 2018. Detection and Estimation Using Regularized Least Squares: Performance Analysis and Optimal Tuning Under UncertaintySignals, Information, and Algorithms Lab, MIT, Feb 8, 2018Detection and Estimation Using Regularized Least Squares: Performance Analysis and Optimal Tuning Under UncertaintyMathematical and Algorithmic Sciences Lab, Huawei Technologies Paris, France, Jan 19, 2018On The Use Of Structure In Signal Processing Analysis And Design, EE Program Seminar, King Abdullah University of Science and Technology KAUST, Oct. 22, 2017“Distribution Agnostic Structured Sparsity Recovery: Algorithms and ApplicationsUniv. de Nice Sophia-Antipolis, Nice, Apr. 21, 2016Ultra-wideband Communications and Localization: Challenges and SolutionsKAUST-NSF Conference, KAUST, Mar. 16, 2016Bounded Perturbation Regularization for Linear Least Squares Inverse ProblemsEarth Sciences Seminar, KAUST, Feb. 24, 2016Bounded perturbation regularization for linear least squares inverse problemsInformation Theory and Applications Symposium, San Diego, Feb. 4, 2016Distribution Agnostic Structured Sparsity Recovery: Algorithms and ApplicationsDepartment of Computer Science Colloquiumm Western Michigan University, Jan. 26, 2016Distribution Agnostic Structured Sparsity Recovery: Algorithms and ApplicationsTechnische Universit¨at, Darmstadt, Germany, Oct 15, 2014Distribution Agnostic Structured Sparsity Recovery: Algorithms and ApplicationsHungarian Academy of Sciences, Institute for Computer Science and Control, Budapest, Hungary, July 23, 2014Distribution Agnostic Structured Sparsity Recovery: Algorithms and ApplicationsAlcatel-Lucent Bell Labs, Paris, France,, Jun 19, 2014Distribution Agnostic Structured Sparsity Recovery: Algorithms and ApplicationsTechnische Universit¨at, M¨unchen, Germany, Jun 11, 2014An Introduction to (Bayesian) Compressed Sensing with Applications in Communication, Signal and Image ProcessingUniversit´e Paris-Est Marne-La-Vall´ee, Paris, France, May 31, 2014Bayesian Sparse Recovery: A Distribution Agnostic Approach with ApplicationsVCC Summit, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, Apr 14, 2014An Introduction to (Bayesian) Compressed Sensing with Applications in Communication and Signal ProcessingTexasA&M University, Qatar, Mar 31, 2014Bayesian Sparse Recovery: A Distribution Agnostic Approach with Applications to PAPR Reduction in OFDM and Massive MIMOINPT, Rabat, Morocco, Mar 20, 2014An Introduction to (Bayesian) Compressed Sensing with Applications in Communication and Signal ProcessingSS5G 2014, SupCom, Tunisia, Mar 17, 2014Bayesian Sparse Recovery: Distribution Agnostic Approach with Applications to PAPR Reduction in OFDM and Massive MIMOKing Abdullah University of Science and Technology, Thuwal, Saudi Arabia, Feb 8, 2014Impulse Noise Estimation and Cancellation in OFDM SystemsASSIA, Santa Clara, CA, Apr. 4, 2013Receiver-Based Bayesian PAPR Reduction in OFDMQualcomm, Santa Clara, CA, Apr. 5, 2013Structured Sparsity: Bayesian Recovery Algorithms and ApplicationsKeynote speech, WOSSPA, Algeries, Algeria, May 2013Distribution Agnostic Structured Sparsity Recovery Algorithms and ApplicationsSupCom, Tunisia, May 17, 2013Structured Sparsity: Bayesian Recovery Algorithms and ApplicationsUniversity of Toronto, June 6, 2013Structured Sparsity: Bayesian Recovery Algorithms and ApplicationsUniversity of Ontario Institute of Technology, June 12, 2013Structured Sparsity: Bayesian Recovery Algorithms and ApplicationsE´cole Polytechnique de Montre´al, Montreal, June 13, 2013Structured Sparsity: Bayesian Recovery Algorithms and ApplicationsGeorgia Institute of Technology, June 17, 2013Structured Sparsity: Bayesian Recovery Algorithms and ApplicationsThe University of Akron, Akron, Ohio, June 20, 2013Bayesian Estimaton of Sparse Signals with Applications in Signal Processing and CommunicationsA tutorial at EUSIPCO, Marrakesh, Sep. 9, 2013A Bayesian Approach to multi-channel (Blind) DeconvolutionKFUPM-GA Tech workshop, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia, Dec. 17, 2012Compressed Sensing: An overview and an application to Seismic DeconvolutionEarth Sciences Seminar, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, Nov. 6, 2012Structure Based Bayesian Sparse ReconstructionElectrical Engineering Department, University of Akron, Akron, Ohio, August 24, 2012.Structure Based Bayesian Sparse ReconstructionElectrical Engineering Department Northwestern University, Evanston, IL, July 11, 2012Structure Based Bayesian Sparse ReconstructionElectrical Engineering Department American University of Beirut, Lebanon, May 11, 2012Combating Impairments of OFDM Systems: A Model Reduction ApproachElectrical Engineering Department King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, Jan. 4, 2012Combating Impairments of OFDM Systems Electrical Engineering DepartmentMasdar Institute, Abu Dhabi, United ArabEmirates, Oct. 13, 2011Progress in Collaboration between KFUPM & KAUSTKFUPM’s International Advisory Board at KAUST, Thuwal, Saudi Arabia, Jan. 12, 2010A Model Reduction Approach for OFDM Channel Estimation Under High Mobility ConditionsElectrical Engineering Department, King Fahd University of Petroleum and Minerals, Mar. 1, 2011An Overview of KFUPMKing Abdullah University of Science & Technology, Dec. 1, 2010An Overview of Research Interests and ContributionsKFUPM’s International Advisory Board, SABIC Head Quarters, Riyadh, Saudi Arabia, Jan. 12, 2009Combating Some Impairments of OFDM Systems: A Model Reduction ApproachElectrical Engineering Department, Stanford University, Aug. 30, 2010The Potential of Compressive Sensing in (Seismic) Signal Processing Workshop on KFUPM-GA Tech Joint Research Program, King Fahd University of Petroleum and Minerals, Jun. 21, 2010Indefinite quadratic forms in Gaussian random variables: Distribution, scaling, and applicationsElectrical Engineering Department, Texas A & M Qatar, Jun. 3rd, 2009Writing with two languages: $yMb0ls & WordsElectrical Engineering Department, King Fahd University of Petroleum and Minerals, Apr. 7, 2009Indefinite quadratic forms in Gaussian random variables: Distribution, scaling, and applicationsElectrical Engineering Department, American University of Beirut, Feb. 19, 2009Indefinite quadratic forms in Gaussian random variables: Distribution, scaling, and application to the broadcast channelElectrical Engineering Department, University of Texas at Dallas, TX, Sep. 4, 2008Indefinite quadratic forms in Gaussian random variables: Distribution, scaling, and application to the broadcast channelElectrical Engineering Department, Smart Antenna Research Group, Stanford University, CA, Aug. 22, 2008Scaling laws of multiple antenna (group) broadcast channelsElectrical Engineering Department, University of California at Irvine, CA, Jun. 18, 2008Scaling laws of multiple antenna (group) broadcast channelsElectrical Engineering Department, University of Southern California, CA, Feb. 20, 2008(Semi) blind channel identification and equalization in OFDMBabak Hassibi’s Research Group, Electrical Engineering Department, California Institute of Technology, Pasadena, CA, Feb. 15, 2008Scaling laws of multiple antenna group-broadcast channelsEcole Sup´erieure ´ dElectricit´e (Sup´elec), Paris, France, Jul. 6, 2007How much does correlation affect the sum-rate of MIMO downlink channels?Institute Eurcom, Sophia-Antipolis, France, Jun. 21, 2007The potential of adaptive filtering for seismic signal processingResearch Institute, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, May 15, 2007Broadcasting data to multiple user groups: Information theoretic investigation of the wide band caseElectrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia`, May 1st, 2007Opportunistic 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, 2007Employing undergraduates as teaching assistants at KFUPMDeanship of Academic Development, Center of Teaching and Learning, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, Jan. 16, 2007The effect of spatial correlation on the capacity of MIMO broadcast channels with partial side informationElectrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, Jan. 13, 2007How much does correlation affect the sum-rate of MIMO downlink channels?Electrical Engineering Department, Imperial College, London, UK, Nov. 23, 2006A unified approach to mean-square analysis of adaptive filtersElectrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, Nov. 20, 2006How much does correlation affect the sum-rate of MIMO downlink channels?Research Department, Intel Corporation, Santa Clara, CA, Aug. 22, 2006Broadcasting data to multiple user groups: An information theoretic investigationBabak Hassibi’s Research Group, Electrical Engineering Department, California Institute of Technology, Pasadena, CA, Jul. 29, 2006A framework for the estimation of time-variant channels in OFDMDelft Technical University, Delft, the Netherlands, Jun. 9th, 2006A forward backward Kalman for the estimation of time-variant channels in OFDMElectrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, Nov. 16, 2005A framework for the estimation of time-variant channels in OFDMthe University of New Louvain, Belgium, Nov. 2nd, 2005A unified approach to mean-square analysis of adaptive filtersthe University of New Louvain, Belgium, Nov. 2nd, 2005A framework for the estimation of time-variant channels in OFDMTelecommunications Research Center, Vienna, Austria, Oct. 28, 2005Wireless 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, 2005A unified approach for transient analysis of adaptive filtersBabak Hassibi’s Research Group, Electrical Engineering Department, California Institute of Technology, Pasadena, Mar. 25th, 2005Receiver design for MIMO-OFDM transmission over time-variant frequency selective channelsStandards Group, Qualcomm Corporation, San Diego, Jun. 18th, 2004Receiver design for MIMO-OFDM transmission over time-variant frequency selective channelsCommunications Systems Lab., Texas Instruments, Dallas, TX, Feb. 23, 2004Adaptive semi-blind receiver for MIMO-OFDM transmissionATHEROS Communications, Sunnyvale, CA, Dec. 23, 2003Receiver design for MIMO OFDM transmission over time-variant channelsTZero Technologies Inc., Sunnyvale, CA, Jan. 27, 2004An OFDM receiver for MIMO OFDM transmission over wireless channelsIntel Corporation, Sunnyvale, CA, Dec. 19, 2003A semi-blind algorithm for OFDM transmission over wireless channelsStanford Networking Research Group, Stanford University, Apr. 10, 2003Adaptive algorithms for wireless channel estimationQualcomm Technology Ventures,” Qualcomm Corporation, San Diego, Apr. 3, 2003
