• Gerald LaMountain PhD Proposal Review

    Name: Gerald LaMountain Title: On the Performance of Classical Estimation Under Adverse Conditions Date: 4/11/2024 Time: 12:00:00 PM Location: EXP 459 Committee Members: Prof. Pau Closas (Advisor) Prof. Deniz Erdogmus Prof. Aanjhan Ranganathan Abstract: System designers across all disciplines of technology face the need to develop machines capable of independently processing and analyzing data and, […]

  • Baolin Li PhD Dissertation Defense

    Announcing: PhD Dissertation Defense Name: Baolin Li Title: Making Machine Learning on HPC Systems Cost-Effective and Carbon-Friendly Date: 4/12/2024 Time: 12:00:00 PM

  • Peng Wu PhD Dissertation Defense

    Announcing: PhD Dissertation Defense Name: Peng Wu Title: Bayesian Data Fusion for Distributed Learning Date: 4/12/2024 Time: 12:30:00 PM Location: ISEC 532 Committee Members: Prof. Pau Closas (Advisor) Prof. Deniz Erdogmus Prof. Lili Su Abstract: The necessity for distributed data fusion arises from the increasing demand to integrate diverse and voluminous data sources, especially in […]

  • Lin Deng PhD Dissertation Defense

    Name: Lin Deng Title: Function Capacity Expansion of Nano-Optics via Multiplexed Metasurfaces Date: 4/15/2024 Time: 1:30:00 PM Location: SL 011 Committee Members: Prof. Yongmin Liu (advisor) Prof. Hossein Mosallaei Prof. Sunil Mittal Abstract: Throughout history, the exploration of light has been fundamental to our understanding of the world and has driven advancements in technology and […]

  • David Femi Lamptey MS Thesis Defense

    Name: David Femi Lamptey Title: Coordinating Camera and Millimeter-Wave Imaging Systems to Detect Concealed Threats in Public Spaces Date: 4/15/2024 Time: 2:00:00 PM Location: Snell Library CoLab J Committee Members: Prof. Carey Rappaport (Advisor) Prof. Octavia Camps Prof. Sarah Ostadabbas Abstract: This paper tackles the problem of uniquely identifying and tracking targets for the purposes […]

  • LeetCode Mock Interviews – A CommLab Workshop

    Recurring

    Join the CommLab any Tuesday from 2-3 PM for our weekly LeetCode Mock Interview Workshop via Zoom. This workshop is tailored towards programming jobs and prior coding knowledge is expected. Boost your LeetCode problem-solving confidence for interviews by building your speaking skills while solving programming problems.

  • Nolan Pearce MS Thesis Defense

    Name: Nolan Pearce Title: Downlink Transmit Beamforming: Single-Carrier Acoustic Communication in a Noisy Environment Date: 4/16/2024 Time: 2:00:00 PM Location: EXP-601A: Committee Members: 1. Prof. MIlica Stojanovic (Advisor) 2. Prof. Stefano Basagni 3. Prof. Josep Jornet 4. Dr. Dimitrios Koutsonikolas Abstract: Noisy wireless acoustic channels produce intersymbol interference (ISI) from multipath propagation. This interference may […]

  • Zihan Wei MS Thesis Defense

    Name: Zihan Wei Title: Spatial Correlation Based Broadband Acoustic Beamforming Date: 4/16/2024 Time: 3:00:00 PM Location: EXP-601A Committee Members: 1. Prof. Milica Stojanovic (Advisor) 2. Prof. Stefano Basagni 3. Prof. Josep Jornet Abstract: This thesis presents a spatial correlation based broadband acoustic beamforming approach, addressing significant challenges pertains to acoustic communication channels, such as time-varying […]

  • Raana Sabri Khiavi PhD Dissertation Defense

    Name: Raana Sabri Khiavi Title: Theory and Design of Spatiotemporal Metasurfaces for Comprehensive Control of Light Date: 4/17/2024 Time: 12:00:00 PM Location: In person: Exp 311 Committee Members: Prof. Hossein Mosallaei (Advisor) Prof. Josep Jornet (Co-advisor) Prof. Charles Dimarzio Prof. Siddhartha Ghosh Abstract: Photonic metasurfaces are key components for manipulating almost all properties of light […]

  • Bengisu Ozbay PhD Dissertation Defense

    Name: Bengisu Ozbay Title: Fast Semi-Algebraic Clustering for Efficient System Identification and Geometric Scene Understanding Date: 4/17/2024 Time: 12:00:00 PM Location:(EV) 102 Committee Members: Prof. Mario Sznaier (Advisor) Prof. Octavia Camps Prof. Taskin Padir Prof. Rifat Sipahi Abstract: As the demand for data-driven techniques in machine learning and computer vision continues to rise, the reliance on […]