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:https://ieeeprogress.org/about-ieee-progress/
PROGRESS Programming at ICASSP is listed below:
PROGRESS WORKSHOP
| 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
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 |
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| 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 franklinopen@fi.edu.