Dr. Sethuraman "Panch" Panchanathan

picture of CUbiC member

Dr. Sethuraman "Panch" Panchanathan

Position

Executive Vice President, ASU Knowledge Enterprise; Chief Research and Innovation Officer; Director, Center for Cognitive Ubiquitous Computing (CUbiC); Foundation Chair in Computing and Informatics

Department

Computer Science and Engineering

Contact

panch@asu.edu

Research Profile

Sethuraman “Panch” Panchanathan leads the knowledge enterprise development at Arizona State University, which advances research, innovation, strategic partnerships, entrepreneurship, global and economic development at ASU.  His leadership has led to many accomplishments at ASU including quintupling research performance over the last decade (to over $618M in 2018) placing it as the fastest-growing research university in the United States. ASU has also been ranked as the most innovative university in the nation by U.S. News & World Report for the last five years, ahead of Stanford and MIT.

In 2014, Dr. Panchanathan was appointed by the U.S. President to the U.S. National Science Board (NSB) for a six-year term. He is the first American of Indian origin to be appointed to the NSB. He served as Chair of the Committee on Strategy and currently serves on the External Engagement and National S&E Policy committees of NSB. Additionally, he was appointed by the former U.S. Secretary of Commerce to the National Advisory Council on Innovation and Entrepreneurship (NACIE).  Dr. Panchanathan is Vice President for Strategic Initiatives and Membership of the National Academy of Inventors.  He is currently the Chair of the Council on Research (CoR) of the Association of Public and Land-grant Universities (APLU).  He is also the Co-Chair of the Extreme Innovation Taskforce of the Global Federation of Competitiveness Councils. (GFCC). Dr. Panchanathan was appointed Arizona Governor Doug Ducey’s Senior Advisor for Science & Technology in 2018.

Dr. Panchanathan is a Fellow of the NAI, American Association for the Advancement of Science (AAAS), the Canadian Academy of Engineering (CAE), the Institute of Electrical and Electronics Engineers (IEEE) and the Society of Optical Engineering (SPIE).  He was the editor-in-chief of the IEEE Multimedia Magazine, and is also an editor/associate editor of several international journals and transactions.

Dr. Panchanathan’s research interests are in the areas of human-centered multimedia computing, haptic user interfaces, person-centered tools and ubiquitous computing technologies for enhancing the quality of life for individuals with disabilities, machine learning for multimedia applications, medical image processing, and media processor designs. Dr. Panchanathan has published more than 450 papers in refereed journals and conferences and has mentored more than 150 graduate students, post-docs, research engineers and research scientists who occupy leading positions in academia and industry. He has been a chair of many conferences, a program committee member of numerous conferences, an organizer of special sessions in several conferences and an invited speaker and panel member in conferences, universities and industry symposiums.

Publications

Detecting and Classifying frontal back and profile views of Humans
N.C. Krishnan, B. Li, S. Panchanathan,
2007
Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation
V.N. Balasubramanian, J. Ye, S. Panchanathan,
2007
Recognizing Short Duration Hand Movements from Accelerometer data
N.C. Krishnan, G. Pradhan, S. Panchanathan,
2009
The effect of Fatigue on Cognitive and Psychomotor Skills of Surgical Residents
K. Kahol, M. Smith, S. Mayes, M. Deka, V. Deka, J. Ferrara, S. Panchanathan,
2007
An Interactive Wearable Assistive Device for Individuals who are Blind for Color Perception
T. McDaniel, K. Kahol, S. Panchanathan,
2007

Projects

Surgical training typically involves training by performing procedures on synthetic bone models. The bone models used in training are prone to significant wear and tear. This coupled with the lack of cheap yet high quality models affect the quality of the training itself…

Prosopagnosia is a condition where individuals with otherwise normal vision are able to see faces, but cannot recognize faces. A major study in Germany (Kennerknecht 2006) reported that a congenital (inherited) form of prosopagnosia occurred at a rate of 2.5% in a sample…

Humans have the uncanny ability to estimate how an object feels in terms of its shape, size, texture, material, etc., entirely from its visual image. From a biological standpoint, algorithms that estimate haptic features from images mimic the human ability to transfer…

People with auditory disabilities are at a disadvantage due to their inability to access the details of their surroundings conveyed through sound. Though a cochlear implant can empower a person to interact socially, it lacks an adequate resolution to provide the rich…

The emergence of inexpensive and unobtrusive physiological sensors has widened the application of physiological sensing to newer and innovative areas including human-computer interface, proactive human health monitoring, emotion recognition, activity recognition and many…