ECE Speaker Series 2024

Archive: 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011

Colloquia

Marcel Filoche, Directeur de Recherche CNRS, ESPCI Paris, “Modeling Electronic Transport in Disordered Semiconductors” February 13, 2024. Details.

Seminars

Sergey Skipetrov, Senior Researcher, French CNRS, “Topological Photonics in Lattices of Sub-Wavelength Resonators” February 12, 2024. Details.

Liz Izhikevich, PhD Candidate, Stanford University, “Global Visibility Into the Internet’s Security and Performance” February 13, 2024. Details.

Konstantinos Kallas, Ph.D. Candidate, University of Pennsylvania, “Programmable Software Systems for Correct High-Performance Applications” February 15, 2024. Details.

Juncheng Yang, Ph.D. Candidate, Carnegie Mellon University, “Designing Efficient and Scalable Cache Management Systems” February 22, 2024. Details.

Levent Sevgi, Professor, ATLAS University, “From Engineering Electromagnetics to Electromagnetic Engineering: Teaching/Training Next Generations” February 22, 2024. Details.

Maryam Khazaei Pool, Researcher & Teaching Fellow, University of California, Merced, “Ford-Fulkerson Method for Max Flow Problem” February 26, 2024. Details.

Sara Fridovich-Keil, Postdoctoral Fellow, Stanford University, “White-Box Computational Imaging: Measurements to Images to Insights” February 27, 2024. Details.

Zhijian Liu, Ph.D. Candidate, Massachusetts Institute of Technology, “Efficient Deep Learning with Sparsity: Algorithms, Systems, and Applications” February 29, 2024. Details.

Enric Boix, Ph.D. Candidate, Massachusetts Institute of Technology, “Beyond the Black Box: Characterizing and Improving How Neural Networks Learn” March 4, 2024. Details.

Yigong Hu, Postdoctoral Researcher, University of Washington, “Enhancing Performance Guarantees in Large-Scale Systems” March 5, 2024. Details.

Jocelyn Chen, Ph.D. Candidate, University of Texas at Austin, “Unleashing the Power of Data Through Neurosymbolic Program Synthesis” March 7, 2024. Details.

Yang Zhou, Ph.D. Candidate, Harvard University, “Network-Application Co-Design For Efficient Datacenters” March 19, 2024. Details.

Kevin Bello, Postdoctoral Fellow, Carnegie Mellon University & University of Chicago, “Causal Machine Learning: Continuous Structure Learning and Identifiability of Causal Invariances” March 21, 2024. Details.

Elan Rosenfeld, Ph.D. Candidate, Carnegie Mellon University, “Building a Foundation for Trustworthy Machine Learning” March 26, 2024. Details.

Rohan Basu-Roy, Ph.D. Candidate, Northeastern University, “Toward Making Computation on Large-Scale Systems Faster, Cheaper, and More Environment-Friendly” March 28, 2024. Details.

Arinjoy Basak, Ph.D. Candidate, Virginia Tech, “Introduction to Recursion” March 29, 2024. Details.

Rabia Yazicigil, Assistant Professor, Boston University, “The Circuit Frontier: Innovating and Expanding ASIC Solutions for Enhanced Biosensing and Seamless Wireless Communications” April 2, 2024. Details.

Ed Solovey, Founding Engineer, Digits Financial, “Implementing Binary Heaps for Tracking Top N Financial Transactions in a High Volume Stream” April 3, 2024. Details.

Andrew Ilyas, Ph.D. Candidate, Massachusetts Institute of Technology, “Making Machine Learning Predictably Reliable” April 4, 2024. Details.

Suren Jayasuriya, Assistant Professor, Arizona State University, “Towards Computational Acoustic Cameras: Neural Deconvolution and Rendering for Synthetic Aperture Sonar” April 9. 2024. Details.

Neel Choksi, Ph.D. Candidate, University of Toronto, “Sub-Megahertz Optical Features Using a Resonator-Free Twisted Birefringent Gain Medium” April 22, 2024. Details.

Kaoru Minoshima, Professor, University of Electro-Communications, Japan, “Versatile Control of Optical Waves with Optical Frequency Combs Enables Broad Applications Beyond Frequency Metrology” May 14, 2024. Details.

Zhenkai Liang, Associate Professor, National University of Singapore, “Information-Flow Analysis in the Age of GPU Processing” June 13, 2024. Details.

Tianao Li, Ph.D. Student, Northwestern University, “Galaxy Image Deconvolution for Weak Gravitational Lensing with Unrolled Plug-and-Play ADMM” July 2, 2024. Details.

Arjun Teh, Ph.D. Student, Carnegie Mellon University, “Computational Lens Design” July 26,2024. Details.