IEEE PROGRESS -IEEE PROmotinG DiveRsity in Signal ProcESSing

About: The PROGRESS Initiative of the IEEE Signal Processing Society is a program designed to promote diversity and inclusivity in the field of signal processing, with a particular focus on motivating and supporting women and under represented minorities to pursue academic careers in this field. The Initiative recognizes that while there has been progress in increasing diversity among STEM (Science, Technology, Engineering and Mathematics) students, there is a persistent lack of diversity among professors and academic leaders in these fields. Learn more:

PROGRESS Programming at ICASSP is listed below:


Date Sunday, 14 April 2024
14:00 PM - 17:30 PM
Location Grand Ballroom 102
Website Description PROGRESS Workshop – 14:00 PM – 17:30 PM

Opening remarks: 14:15-14:30

Talk 1: 14:30-15:00
Speaker: Kush Varshney - IBM Fellow, IBM Research
Topic: Sociocultural Diversity and the Machine Learning Development Lifecycle

Talk 2: 15:15-15:45
Speaker: Zhu, Zhihui - Assistant Professor, Ohio State University
Topic: How Signal Processing May Benefit AI: Insights from Personal Experience

Discussion Panel: 16:00-17:00
Topic: Adapting to the Dynamic Landscape of AI Research: Insights for PhD Students and Young Researchers
  • Zhu, Zhihui - Assistant Professor, Ohio State University
  • Berrak Sisman - Assistant Professor, The University of Texas at Dallas
  • Midia Yousefi - Senior Research Scientist, Microsoft, USA
  • Shiwei Liu - Newton Fellow, University of Oxford
Networking Reception: 17:00-17:30
Light refreshments will be served.
Organizers Local Organizing Committee - Midia Yousefi - Senior Research Scientist, Microsoft, USA

PROGRESS Organizing Committee – S. Farokh Atashzar (Chair) - New York University, USA, Theodora Chaspari. - University of Colorado-Boulder, USA, Abhishek Appaji B.M.S. College of Engineering, Bangalore, INDIA, Athina Petropulu, Rutgers University, USA

PROGRESS: the impact of NRF/NSF early career faculty programs

Date Tuesday, 16 April 2024
11:40 AM - 14:00 PM
Location E5-E6, 3rd Floor
Website Description The impact of NRF/NSF early career faculty programs

The objective of the session is to inspire the next generation of signal processing researchers and educators by showing them success stories from the NSF/NRF early career programs, providing both an opportunity for these awardees to describe the long term impact of early career NSF/NRF funding on them and to provide an inspiration to early career academic bound students, researchers and faculty in the audience. The session would be open to all, but is targeted at junior faculty, postdoctoral researchers, and graduate students. The session will be moderated by representatives from the US National Science Foundation and the National Research Foundation of Korea. After brief introductions by the moderators of the NSF and NRF the respective early career funding programs, the session will have short presentations by each panelist offering perspectives on their early career funding from NSF or NRF and how it has impacted their research and education careers. These presentations will be followed by a question and answer period where everyone attending the session will have the opportunity to engage the speakers and moderators. Lunch will be provided for attendees.
Organizers Alfred Hero, US National Science Foundation
Wan Choi, National Research Foundation of Korea
Panelists Antonio Ortega, University of Southern California
Raviv Raich, Oregon State University
Tulay Adali, University of Maryland Baltimore County
Prof. Joon Son Chung, KAIST
Prof. Yo-Seb Jeon, POSTECH
Prof. Seungryong Kim, Korea University

Thank you to the PROGRESS Workshop Sponsor!

Franklin Open is a peer reviewed, gold open access journal that focuses on the fields of engineering and applied mathematics. Franklin Open is a partner journal to the longstanding Journal of The Franklin Institute, which has been publishing scientific research and discoveries for almost 200 years. The journal was created to not only continue that legacy, but to provide a sustainable platform for new research to be widely disseminated from all voices in the scientific and academic communities. Franklin Open aims to publish high quality manuscripts under such topics as, Complex Networks & Cyber-Physical Systems, Control Engineering & Robotics, Energy & Power Systems, Information & Communications, Data Science & Artificial Intelligence, Neural Networks & Learning Systems, and Speech, Image, & Signal Processing. We welcome new submissions as well as special issue proposals through our website. If you have any questions, please contact