Past Seminars


ECE Seminar: Learning and Decision Making in Strategic Environments

10:30 am | Fitzpatrick Center Schiciano Auditorium Side A

Presenter: Jacob Abernethy, PhD, CIS Department, University of Pennsylvania

ECE Seminar: A New Characterization of Compressed Sensing Limits

11:45 am | Hudson Hall 232

Presenter: Galen Reeves, Ph.D., Department of Statistics, Stanford University

ECE Seminar: CMOS Image Sensors with Multi-Bucket Pixels for Computational Photography

1:00 pm | Fitzpatrick Center Schiciano Auditorium Side A

Presenter: Dr. Gordon Wan, Stanford University

ECE Seminar: Leveraging inexactness for scalable optimization

11:30 am | Hudson Hall 216

Presenter: Suvrit Sra, PhD, Sr. Research Scientist, Max Planck Institute for Intelligent Systems, Tuebingen, German

ECE Seminar: Distorted Diffeomorphisms of Small Distortion in Euclidean Space and their Applications to the Parsimonious Representation of Data in Manifold Learning

4:00 pm | Hudson Hall 125

Presenter: Steven B. Damelin, Ph.D., Wayne Country Day School, Goldsboro, North Carolina

ECE Seminar: Smoothed and Parallel Sparse Optimization

1:00 pm | Hudson Hall 115A

Presenter: Wotao Yin, Ph.D., Associate Professor, Department of Computational and Applied Mathematics, Rice University

ECE Seminar: Scalable quantum tomography via sparse projections onto the simplex.

12:00 pm | Fitzpatrick Center Schiciano Auditorium Side A

Presenter: Volkan Cevher, Ph.D., Assistant Professor, Ecole Polytechnique Federale de Lausanne


ECE Seminar: Test Case Generation from Mutants using Model Checking Techniques

11:45 am | Hudson Hall 212

Presenter: Heinz Riener, Ph.D Student, University of Bremen, Germany

ECE Seminar: Exploiting Saliency in Compressive and Adaptive Sensing

11:45 am | Hudson Hall 208

Presenter: Jarvis Haupt, Ph.D., Assistant Professor, Electrical and Computer Engineering, University of Minnesota

ECE Seminar: Fast Global Convergence of Gradient Methods for High-Dimensional Statistical Recovery

11:45 am | Hudson Hall 208

Presenter: Sahand Negahban, Ph.D., Postdoctoral Researcher, Electrical Engineering and Computer Sciences Department, Massachusetts Institute of Technology