Selected Presentations

  • Capacity-Tradeoffs in Networks with Mixed-Delay Traffics and Random Arrivals
    Workshop ``Performance Guarantees in Wireless Networks", Telecom Paris, March 2023.
  • Strong and epsilon-Dependent Converses for Source Coding, Channel Coding, and Hypothesis Testing
    ETH Zurich and University of Cambridge, Oct. 2022.
  • Information-Theoretic Schemes for Integrated Sensing and Communication (ISAC)
    King's College and Imperial College, Oct. 2022.
  • Coding for Sensing
    Virtual Workshop on Information Theoretic Limits and Signal Processing Techniques for Integrated Sensing and Communication, Jan. 2022.
  • Information-Theoretic Tradeoffs in Distributed Hypothesis Testing
    University of Zurich, Nov. 2021, Zurich, Switzerland.
  • MIMO Optical Communication In Freespace
    Bombay Information Theory Seminar 2020, Jan 2020, Mumbai, India.
  • Networks with Mixed Delay Constraints
    London Symposium on Information Theory, May 2019, London, UK
  • Caching Networks: Low-Subpacketization Schemes and Improved Delivery Methods
    Workshop on Signal Processing, Communications, and Information Theory, Sep. 2018, La Coruna, Spain.
  • Distributed Hypothesis Testing: Unequal Error Protection and Concurrent Detection
    Digiteo Research Days, June 2018, Paris Saclay, France.
  • Distributed Hypothesis Testing in Networks
    Horizon Maths Workshop, Nov 2017, Paris, France.
  • Additional Coding Opportunities in Cache-Aided Networks
    WiOpt, May 2017, Paris, France.
  • Cache Allocations, Coding Schemes, and Converses for Cellular Networks with Cachinge
    Ben Gurion University, Nov. 2016, Beer Sheva, Israel.
  • Testing Against Independence with Multiple Decision Centers
    Int. Conference On Signal Processing And Communications, June 2016, Bangalore, India.
  • Information-Theoretic Results on D2D Networks
    Indo-French Workshop on D2D, June 2016, Paris France.
  • An Information Theoretic View of Cache-Aided Networks
    Iran Workshop on Communication and Information Theory, May 2016, Teheran, Iran.
  • An Information Theoretic View of Cache-Aided Communication, Compression, and Computation Systems
    Keynote talk at GlobalSIP, Dec. 2015.
  • Constrained Intra-Cell and Inter-Cell Cooperation in Cellular Networks
    ETH Zurich, August 2015.
  • Coordination in State-Dependent Networks: The Two-User Case
    ISIT 2015.
  • Communication, Compression, and Coordination over Networks: Benefits of Cooperation and Side-Information
    Habilitation Exam; July 2015.
  • Broadcasting with Side-Information and Applications to Caching and Feedback Communication
    Huawei Algorithmic Research Lab; ETIS ENSEA-Université de Cergy-Pontoise; INSA Lyon; May--Sep. 2015.
  • How Rate-Limited Feedback Increases Capacity for Memoryless Broadcast Channels
    EPF Lausanne; Supelec; Feb. 2014.
  • Schemes and Achievable Rates for Broadcast Channels with Rate-Limited Feedback
    ETH Zurich, Aug. 2013.
  • Variations of Source Coding with Side-Information at the Decoder(s)
    Chalmers University of Technology Gothenburg, May 2013.
  • Max-Entropy Results under Markov Conditions and Applications to Capacity Problems
    Technion-The Israel Institute of Technology, June 2011.
  • Constrained Wyner-Ziv Source Coding
    Technical University Munich, Mar. 2011.
  • An Achievable Region for the Discrete Memoryless Broadcast Channel with Feedback
    ISIT 2010.
  • Gaussian Multiple-Access Channels with Cooperating Transmitters
    Stanford University; UC Berkeley; 2009
  • Receivers-Transmitters Side-Information Duality in Linear Interference Networks
    2009 ITA Workshop, Graduation Day; Qualcomm; 2009
  • Side-Information with a Grain of Salt
    Harvard University; Princeton University; Telecom Paris-Tech (ENST); 2009
  • Cooperation on the Multiple-Access Channel
    Chalmers University of Technology; ETH Zurich (PhD Defense); 2008
  • Wireless Networks with Imperfect Side-Information
    Ecole Superieure d'Electricite (Supelec); KTH Stockholm; Chalmers University of Technology; 2008
  • On Cognitive Interference Networks
    UC Berkeley, 2007
  • Noisy feedback is strictly better than no feedback
    Kailath Colloquium on Feedback Communications 2006, Stanford University