Improving Shape Awareness and Interpretability in Deep Networks Using Geometric Moments, Best paper at DLGC Workshop 2023, in conjunction with IEEE CVPR. 
We lead a Predictive Intelligence for Pandemic Prevention Phase I planning grant from the National Science Foundation 
Shape disentanglement using polynomial implicit neural models. Highlight paper at IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023. 
Art Highlight at CVPR 2023 made with VQGAN + CLIP 
Functional data analysis approach for mapping change in bicycle ridership patterns, Transportation Research Interdisciplinary Perspectives, 2023. 
MesquiteMocap: web-based open-source, low-cost motion capture solutions using IMU devices and javascript. 
The Air Around Us: network of IoT sculptures to actionize the impact of air quality in the Phoenix metro area deployed in local museums. 
Room scale wellness pods with interactive media, to encourage movement, connection, and mindfulness, made under a NSF Future of Work planning grant. 
Keynote on “Trends in generative AI” at DokuTech 2023.
Hi, I am Pavan Turaga. I am a Professor jointly between the departments of Arts, Media, and Engineering and Electrical Engineering (ECEE). I direct the School of Arts, Media, and Engineering.
I also lead the Geometric Media Lab (GML) at ASU. Our work spans tools for representation drawn from statistics, optimization, geometry, and topology, and applied to the areas of computer vision, machine learning, immersive technologies, health-analytics, public understanding of science, arts and performance, and more. Over the years, our work has broadened to include extensive collaborations with applied mathematicians, statisticians, health-scientists, and media-arts that inform our work and increase its impact.
The primary features of work at GML include:
- Understanding the underlying phenomena of diverse media — images, video, computational sensors, wearables, to name a few.
- Mathematical methodologies from statistics, optimization, differential geometry, and topology in a manner that is motivated by physical constraints, invariance requirements, or other phenomenological considerations.
- Collaborations with researchers from diverse areas including rehabilitation, health promotion and well-being, and media-arts, which motivate the development of new algorithmic advances, as well as present challenging use-cases.
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Positions
Director, School of Arts, Media, and Engineering (ASU), 2021 – present
Professor, Schools of AME + ECEE (ASU), 2022 – present
Interim Director, School of Arts, Media, and Engineering, 2019 – 2021
Associate Professor, Schools of AME + ECEE, 2017 – 2022
Assistant Professor, Schools of AME + ECEE, 2011 – 2017
Professional Preparation
Research Associate, Center for Automation Research (UMD), 2009 – 2011
Ph.D. University of Maryland, College Park, 2004 – 2009
B.Tech Indian Institute of Technology, Guwahati, 2000 – 2004
Affiliations
Health Solutions Ambassador, College of Health Solutions (CHS)
Center for Sensor, Signal, Information Processing (SenSIP)
Center for Human, Artificial Intelligence, and Robot Teaming (CHART)
Center for Innovation in Healthy and Resilient Aging (CIHRA)
Simon A Levin Mathematical, Computational and Modeling Sciences Center (MCMSC)
Cognitive Science Program
Center for Wireless Information Systems and Computational Architectures (WISCA)
ASU Graduate faculty privileges
Data Science, Analytics and Engienering (DSAE) PhD Program
Computer Engineering (Computer Systems) PhD (Endorsed to Chair)
Computer Engineering (Electrical Engineering) PhD (Endorsed to Chair)
Electrical Engineering PhD (Endorsed to Chair)
Systems Engineering PhD (Endorsed to Chair)
Media Arts and Sciences PhD (Endorsed to Chair)
Exploration Systems Design PhD (Endorsed as Member)
We gratefully acknowledge the support received by several federal and industry grants over the years in support of our research. Current and prior support has included NSF, NIH, DARPA, DOE, ARO, ONR, Adobe Intel, Google ATAP, Raytheon, NVIDIA.
Media Articles
ASU News, Summit explores digital trust in the accelerating age of AI, Oct 25th 2023.
AZ Big Media, Here’s how experts see the role of AI in higher education, July 5th 2023.
ASU News, Predicting future pandemic patterns, Nov 18th 2022.
ASU News, ASU professor wins $1M DoD grant to boost AI technology, Apr 26th 2022.
ASU News, New SUEDE shoes apply smart tech to ankle injury prevention, Apr 6th 2022.
Podcast, AZ State Press, State Press Play: Tech’s ethical quandary, Oct 15th 2021.
AZ State Press, Tech’s ethical quandary, Oct 6th 2021.
AZ Big Media, “How ASU students will be empowered by ‘technofluency’“, July 21st 2021.
ASU News, “ASU students to be empowered by ‘technofluency’“, July 16th 2021.
Photonics Media, “Image Recovery Method Shows Improved Compressive Sensing, Phase Retrieval Capabilities“, Feb 2021.
TWIML AI Rewind 2020, “Trends in Computer Vision with Pavan Turaga“, Jan 4th 2021.
NSF Future of Work grant, “ASU researchers awarded grant for advancing workplace wellness“, Sep 9th 2020.
NSF IUCRC Breakthrough Story, “New Technique Provides Faster, Lower-Cost Detection in Surveillance Images”, July 22nd 2020.
TWIML AI Podcast, “Invariance, Geometry and Deep Neural Networks with Pavan Turaga” June 25th 2020.
NSF RAPID grant on COVID modeling, “NSF grant to help ASU researchers design a new way to model the spread of COVID-19“
ASU Now, “Arts, Media and Engineering students tackle the big ‘why’ questions“
ASU Now and FullCircle, “Data, data everywhere, but not enough to think“
Sacramento Bee, “Elk Grove stay-at-home dad leads fellow online students to create innovative hospital bed”
Arizona State Press, “ASU’s College of Health Solutions, Herberger Institute collaborate on interdisciplinary projects”
ASU Now, “New ASU center confronts the silver tsunami”
FullCircle ASU, “Young engineering faculty rapidly building a track record of innovation and high performance”
ASU Now, “Research on human movement could lead to development of ‘assistive homes”
Pavan Turaga 