Dr. Sethuraman "Panch" Panchanathan

picture of CUbiC member

Dr. Sethuraman "Panch" Panchanathan

Position

Executive Vice President, ASU Knowledge Enterprise Development; 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.

Panchanathan was the founding director of the School of Computing and Informatics and was instrumental in founding the Biomedical Informatics Department at ASU. He also served as the chair of the Computer Science and Engineering Department. He founded the Center for Cognitive Ubiquitous Computing (CUbiC) at ASU. CUbiC’s flagship project iCARE, for individuals who are blind and visually impaired, won the Governor’s Innovator of the Year-Academia Award in November 2004.

In 2014, Panchanathan was appointed by President Barack Obama to the U.S. National Science Board (NSB) and is Chair of the Committee on Strategy. He was appointed by former U.S. Secretary of Commerce Penny Pritzker to the National Advisory Council on Innovation and Entrepreneurship (NACIE).

Panchanathan is a Fellow of the National Academy of Inventors (NAI), the American Association for the Advancement of Science (AAAS) and the Canadian Academy of Engineering. He is also Fellow of the Institute of Electrical and Electronics Engineers (IEEE), and the Society of Optical Engineering (SPIE). He is currently serving as the Chair of the Council on Research (CoR) within the Association of Public and Land-grant Universities (APLU). Panchanathan was the editor-in-chief of the IEEE Multimedia Magazine and is also an editor/associate editor of many other journals and transactions.

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. Panchanathan has published over 440 papers in refereed journals and conferences and has mentored over 100 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, program committee member of numerous conferences, organizer of special sessions in several conferences and an invited speaker, panel member in conferences, universities and industry.

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…