Meet the August Member of the Month, Dr. Ashok Veeraraghavan, Professor, Electrical and Computer Engineering; Professor, Computer Science. Dr. Veeraraghavan's research areas include; computational imaging, compressive sensing for imaging, signal processing and computer vision, data science, neuroengineering, systems.
Dr. Veeraraghavan received received his B.Tech. in electrical engineering from Indian Institute of Technology, Madras in 2002, and his master's and Ph.D. from the Department of Electrical and Computer Engineering at the University of Maryland, College Park in 2004 and 2008, respectively. Ashok joined the ECE Department in 2010. He was promoted to Associate Professor in 2017 and Professor in 2020.
Veeraraghavan is co-developer of FlatCam, a thin sensor chip with a mask that replaces lenses in a traditional camera. Making it practical are the sophisticated computer algorithms that process what the sensor detects and converts the sensor measurements into images and videos. FlatCams may find use in security or disaster-relief applications and as flexible, foldable, wearable cameras, and even disposable cameras.
How do you explain your research in one sentence?
I solve hard imaging challenges by co-designing optics, sensors and machine learning algorithms.
What is your favorite aspect of your research?
Ideation – ideas are beautiful objects – untouched by reality and the constraints of physics. Many times, reality and the constraints of physics force ideas to retreat from majesty to a place where they are merely utilitarian – but sometimes, every so often, they remain as they were – majestic, elegant and beautiful – and the pleasure one derives from participating in the creation of one of these ideas is the favorite aspect of research for me.
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AI in Health Conference
Abstract Submissions | Deadline: September 12, 2022 | BRC at Rice University
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| Don’t miss the opportunity to share your ideas at the AI in Health Conference, happening Nov. 7-9, 2022 in-person at Rice University's BRC. We are looking for abstracts that present a ten-year outlook on artificial intelligence and machine learning for healthcare and public health. This year there will be a focus on mental health, imaging, and genomics, but all topics are welcome. Abstract submissions are due by Friday, Sept 12. |
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| Let you students and postdocs know about the opportunity to join in the poster session. Poster submissions are due October 25, 2022. |
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Distinguished Lecture Series
Tushar Chandra | September 15, 2022 | Duncan Hall at Rice University
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Technology Innovation Lecture Series
Gopi Rangan | Lecture: October 6, 2022 | Office Hours: October 7, 2022 | Virtual
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Want to meet with Gopi Rangan?
Virtual office hours will be on Friday, October 7 from 11:00 AM - 1:00 PM Central.
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Technology, Culture, and Society Lecture Series
Moshe Y. Vardi | October 12, 2022 | Duncan Hall at Rice University
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BCM-RICE 3rd Networking and Collaboration Event
The Rice Office of ENRICH and BCM INSTINCT Surgery invite you to attend the 3rd Networking and Collaboration Event on September 8, 2022 at 5:00 at the BRC Event Hall. The purpose of the workshop is to bring together faculty and staff from Rice University and Baylor College of Medicine to foster new collaborations in surgical innovation, and strengthen research and educational opportunities between our institutions. The workshop includes a series of rapid presentations, discussion and networking segments in the areas of Engineering, Data Science and Chem/Bio, as well an announcement about a seed grant opportunity following the event. There is no charge to attend and the registration form can be found here. Registration will be accepted through September 5.
Learning & Doing Data for Good Conference
The University of Washington eScience Institute and the West Big Data Innovation Hub are hosting Learning and Doing Data for Good: A conference for academics and their partners from September 9-11, 2022. At this hybrid event, you will hear from current students and alumni from university-based data for good programs alongside project partners and data science professionals. This will be a space for inspiring discussions and for connecting with colleagues who are motivated to learn from and meet the needs of communities and people using data for change. Keynote speaker Dr. Desmond Patton, Professor at the Columbia School of Social Work and Department of Sociology, will talk about his work using qualitative and computational data collection methods to examine the relationship between youth and gang violence and social media. Details and registration available here.
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