ISEC 138 Coded Computing for Next-Generation Information Processing Systems Abstract: Modern networks are designed to facilitate information processing in large-scale, highly distributed environments that connect humans with smart machines. Information […]
Location: ISEC 136 Next Generation of Smart Wireless World: from High Data-Rate Mm-wave Directional Arrays to Reliable and Secured IoT Connectivity for 5G and Beyond Abstract: The next generation of […]
Dr. Xin Zhang, Professor, Boston University Location: 138 ISEC Metamaterials have been intensively studied and applied to a broad range of practical applications ranging from wireless communications to magnetic resonance […]
Location: ISEC 138 Causality: From Learning to Generative Models Abstract: Causal inference is fundamental for multiple disciplines ranging from medical research to engineering, statistics, and economics. It is also central […]
Location: ISEC 138 Multidimensional Signal Processing Circuits for Low-SWaP Multi-Beam Arrays Abstract: In this talk, array processing circuits that exploit the computing paradigm of approximate computing are explored. Low-size, -weight, […]
Experience innovation firsthand! Engineering PhD students show their research in cutting-edge areas, from robotics, computer vision and biomechanics to nanomedicine, cell- tissue engineering, and machine learning, at the second annual […]
Location: ISEC 136 Rethinking Operating System and Hardware Abstractions for Good and Evil Abstract: Current hardware and operating system abstractions were conceived at a time when we had minimal security […]
The MathWorks SMART Laboratory Northeastern University Collaboration Day Event Financial Services and Computational Finance with MATLAB Chris Garvin Senior Software Engineer Manager Financial Services encompasses an array of application areas […]
Philip Krein, Executive Dean, Zhejiang University/University of Illinois at Urbana-Champaign Institute Overview: Come learn about the many open faculty positions at a new campus in China (bring resumes!). The Zhejiang […]
Location: ISEC 138 Learning with Distributed Systems: Adversary-Resilience and Neural Networks Abstract: In this talk, Su will first talk about how to secure Federated Learning (FL) against adversarial faults. FL […]