Thanks to Lingchen Zhu Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it … Continue reading “Machine Learning”
Thanks to Lingchen Zhu Compressed sensing (also known as compressive sensing, compressive sampling, or sparse sampling) is a signal processing technique for efficiently acquiring and reconstructing a signal, by finding solutions to underdetermined linear systems. This takes advantage of the signal’s sparseness or compressibility in some domain, allowing the entire signal to be determined from … Continue reading “Compressive Sensing”
Amirali Aghazadeh Mohandesi Assistant Professor Ghassan AlRegib Professor David V Anderson Professor Christopher F Barnes Associate Professor Thomas P III Barnwell Professor Emeritus Pamela T Bhatti Professor; Assoc. Chair Strategic Initiatives & Innovation Vince D Calhoun Affiliate-GT Ent & Affil Orgs Mark A Clements Professor Emeritus Edward J Coyle Professor Mark Andrew Davenport Professor Eva … Continue reading “Faculty Members”
Audio and Speech Processing Compressive Sensing Image and Video Processing Machine Learning Radar and Array Processing Seismic Signal Processing
Events View upcoming CSIP seminars (held Fridays at 3 pm) and other events. Research Learn more about CSIP research areas and current projects. Faculty and Students CSIP has faculty and students involved in all aspects of signal processing research. Classes Find classes for the upcoming Summer and Fall semester
CSIP faculty teach an extensive selection of undergraduate and graduate coursework. The ECE office maintains an up-to-date projected undergraduate course schedule and projected graduate course schedule. Undergraduate Classes Graduate Classes
Previous Speakers and Seminars SPRING 2023 FRIDAY, april 21, 2023 Speaker: Ryan Benkert Title: Enabling Consistent Data Selection with Representation Shifts Time: 3:00 PM Location: CSIP library (room 5126), 5th floor, Centergy one building Recording Link: N/A FRIDAY, april 14, 2023 Speaker: Austin Xu Title: HandsOff: Labeled Dataset Generation with No Additional Human Annotations Time: 3:00 … Continue reading “PREVIOUS SPEAKERS”
CSIP Seminars Schedule – SPRING 2024 FRIDAY, APRIL 26, 2024 Speaker: Dr.Sunil Shukla Title: Audio Signal Processing Applications for the Smart Automobile Time: 3:00 PM Location: CSIP library (room 5126), 5th floor, Centergy one building Zoom Link: https://gatech.zoom.us/j/93078079212 FRIDAY, APRIL 19, 2024 Speaker: Dr.Lars Ruthotto Title: Differential Equations for Continuous-Time Deep Learning Time: 3:00 PM Location: … Continue reading “Seminars”
Title: Enhancing Geophysics Data Interpretation through a Human-in-the-Loop Framework Time: Friday, Feb 17th, 3:00 PMLocation: CSIP library (room 5126), 5th floor, Centergy one building BioAhmad is a 5th year PhD candidate at the Omni Lab for Intelligent Visual Engineering and Science (OLIVES) supervised by Professor Ghassan AlRegib. His work lies at the intersection of advanced machine/deep learning theory … Continue reading “Ahmad Mustafa”
